Bachelor of Technology (BTech) in Electronics and Computer Engineering (with Spl. in Artificial Intelligence & Machine Learning)

  • Bangalore Kengeri Campus
  • Open From : 01-May-2024
  • Open Until : 04-Jun-2024

Graduates of B.Tech in Electronics and Computer Science [with Specialization in Artificial Intelligence and Machine Learning] will be able to:

PEO1: Domain Knowledge
Apply the knowledge of electronics and computer science engineering to analyse, design
and develop solutions for real time engineering problems

PEO2: Research
Pursue higher learning and research

PEO3: Team Work and Ethics
Work in teams with professional ethics

PEO4: Life Long learning
Exhibit professional excellence through lifelong learning

At the end of the program, the graduates will be able to:

PSO1: Analyse and Design solutions to real time complex engineering problems through the knowledge of electronics and computer science

PSO2: Use modern tools and devices to solve problems related to machine learning and deep learning through electronics and computer science applications

Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.

The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change

Overview

 
 

Electronics and Computer Engineering [with Specialization in Artificial Intelligence & Machine Learning] is a cross-discipline, integrated program that explores the exciting interface between two traditional engineering domains Electronics and Computer science.  This engineering discipline synchronizes the latest developments that combine hardware electronics, software and computer systems together for any integrated intelligent embedded system design. This is an inter disciplinary under graduate degree program under School of Engineering and Technology. This programme is designed to bridge the gap between software analysis and hardware design in the lucrative fields such as- machine learning, data science, Internet of Things (IoT) and artificial intelligence etc. This programme aims to offer thorough knowledge of the theory and practice of software systems and its hardware implication in the purview of embedded system design. This programme addresses the interest of a wide audience of learners whose interests are versatile and interdisciplinary for hardware design as well as software analysis.

Highlights of the Programme include,
•    Globally competent curriculum vetted through involvement of industry experts and academic experts in line with industry requirements. 
•    The students will have mandatory internships and also industry-based student internships to understand the requirements of industry. 
•    Students are given a plethora of interdisciplinary and multidisciplinary disciplines through open electives and global electives in line with National Education Policy 2020. 
•    Industry oriented curriculum towards providing opportunities to solve real time problems faced by industries.  
•    Application based teaching learning through case studies and frequent field visits. 
•    Opportunity to hone their skill sets required in a particular domain through Honours and Minor programmes.

 

 

Why choose this course?

  • Industry oriented curriculum

  • Core company job

  • Live industry projects

  • Industry supported laboratory

  • Product development

  • Open air theatre and gazebos for outdoor learning

 

What you will learn?

 
  • Domain specific and elective courses that covers VLSI, Embedded systems, Signal processing, Cyber and Network Security, IoT, Artificial Intelligence and Machine Learning.
  • Open and Global elective courses to introduce other engineering specialization and Liberal Arts
  • Projects and internship to accomplish solutions for real world complex problem and understand the operations of Industries.
  • Basic science and engineering science courses to provide foundation for applied and interdisciplinary learning.
  • Ability enhancement courses and Holistic education to provide overall development of the students.
 

Modules

 
  • Mathematics
  • Physics

Year 1

  • Chemistry
  • Biology for Engineers
  • Basic Electronics, Mechanical Engineering and Nanoscience
  • Basic Electrical Engineering, Civil Engineering & Engineering Mechanics
  • Computer Programming
  • Ability Enhancement Course
  • Engineering Graphics
  • Workshop Practice Lab
  • Holistic Education 
 
 
  • UI/UX Design
  • Cyber Security

Year 2

  • Mathematics for Intelligent Systems
  • Data Structures and Algorithms
  • Electronic Devices and Circuit Analysis
  • Digital Electronics
  • Operating Systems
  • Sustainable Green Technology
  • Database Management Systems
  • Signals and Systems
  • Computer Organization and Architecture
  • Object Oriented Programming with JAVA
  • Professional Ethics
 
 
  • Sensors and IoT
  • Computer Vision

Year 3

  • Robotics and Mechatronics
  • Fundamentals of Artificial Intelligence
  • Digital Signal Processing
  • Data Communications and Computer Networks
  • Compiler Design
  • Cyber Physical Systems 
  • Project Management and Finance
  • Sensors and IoT 
  • Fundamentals of Machine Learning
  • Artificial Intelligence with python
  • Artificial Intelligence in Cyber Security
  • Building AI Systems
  • Global Elective  
  • SDG Projects (Service Learning) 
  • Constitution of India
 
 
  • Elective Courses 
  • Internship

Year 4

  • Fundamentals of Deep Learning
  • Project Work 
 
 

Career prospects

 
  • Opportunities to work in Core and Service based industries
  • Understand the major domains of VLSI and Embedded systems, Communication and Signal processing to choose the career path
  • Provision to work on the research projects of the faculty members
  • Support for interested to become Entrepreneur
  • Sessions and training for competitive exam to pursue Masters and research

Graduates of B.Tech in Electronics and Computer Science [with Specialization in Artificial Intelligence and Machine Learning] will be able to:

PEO1: Domain Knowledge
Apply the knowledge of electronics and computer science engineering to analyse, design
and develop solutions for real time engineering problems

PEO2: Research
Pursue higher learning and research

PEO3: Team Work and Ethics
Work in teams with professional ethics

PEO4: Life Long learning
Exhibit professional excellence through lifelong learning

At the end of the program, the graduates will be able to:

PSO1: Analyse and Design solutions to real time complex engineering problems through the knowledge of electronics and computer science

PSO2: Use modern tools and devices to solve problems related to machine learning and deep learning through electronics and computer science applications

Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.

The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change

Selection process results will be available on https://espro.christuniversity.in/Application/ according to the important dates section. Selected candidates will receive an E-Offer of admission that will be valid up to the date mentioned in the Offer of admission.  

 

All selected candidates must note that admission is provisional and subject to University rules.

 

Selected candidates must download the offer of admission on the ‘Application Status’ link on the University website.

 

To process admission

  • Candidates must choose the preferred date and time from available options to facilitate a smooth admission process.
  • Admission must be processed at the campus where the programme is offered as published in the offer of admission.
  • As per UGC guidelines, fee payment has to be made through online mode.
  • Payment options and details will be available in the offer of admission.
  • Fees for the first year including Admission Registration fee must be paid in full as part of the admission process.

All original marks cards and one set of photocopies must be submitted for verification at the time of admission as mentioned below

  • Class 10 Marks Statement and Class 11/12 Marks Statement (Mandatory).
  • Transfer Certificate (TC) of Class 12 from the last qualified institution must be submitted by 30 August 2024 (Mandatory).
  • Migration Certificate of Class 12 (applicable for all candidates except Karnataka state board applicants) must be submitted by 30 August 2024 (Mandatory).
  • One Stamp size and one passport size photograph formal dress with a white background (Mandatory).
  • Two Copies of the Online Payment Acknowledgment (Mandatory).
  • Copy of valid ID proof (Aadhar Card and PAN Card).
  • Candidates falling under any of these categories (NRI / PIO / OCI / SAARC / AFRICA / ASEAN / OTHER FOREIGN NATIONALS) have to submit:
  1. Copy of Passport and Visa Details (Mandatory).
  2. PIO / OCI have to produce a copy of the PIO / OCI card whichever is applicable (Mandatory).
  3. Medical Fitness Certificate (MFC) from any recognized medical practitioner certified by the Medical Council of India and
  4. Resident Permit (RP) (If available while applying)

All mandatory documents must be submitted for verification during the admission process.

An undertaking for pending original documents unavailable currently [applicable only for candidates writing/passing their exam in March – June - 2024], must be submitted to the Office of Admissions. These documents must be submitted on or before 30 August 2024.

  • Failure to submit the pending documents will be treated as unsuccessful in the qualifying examination or considered “Not Eligible”, and admission will be terminated from CHRIST (Deemed to be University) without any claim.
  • All admitted students must open an account at South Indian Bank, CHRIST (Deemed to be University) Branch as part of the admission process and must carry relevant ID proof (Aadhar Card and Pan Card).
  • The University ID card is a smart card, which is both an ID cum ATM card with a chip containing the student personal details. All transactions within the University campus after the commencement of classes, including fee payment, will be processed only through this card. It is also an access card for Library and other restricted places.
  • Selected candidates who fall under International student category (ISC) should register with the Foreigner Regional Registration Officer (FRRO / FRO) of the Local Police in Bengaluru, India within 14 working days from the date of admission or arriving in Bengaluru.

The date of commencement of the academic Year 2024 will be intimated during the admission process.

Please Note:

  • The University does not collect any capitation/donation other than the fees mentioned on the website.
  • All those admitted to the programme will have to purchase a laptop at their own cost if required by the department.
  • Admitted students who wish to avail bank loan will be provided with a recommendation letter on request by presenting the original fee paid receipt to the Office of Admissions.
  • The decision of the admission committee is final and binding.

 

Graduates of B.Tech in Electronics and Computer Science [with Specialization in Artificial Intelligence and Machine Learning] will be able to:

PEO1: Domain Knowledge
Apply the knowledge of electronics and computer science engineering to analyse, design
and develop solutions for real time engineering problems

PEO2: Research
Pursue higher learning and research

PEO3: Team Work and Ethics
Work in teams with professional ethics

PEO4: Life Long learning
Exhibit professional excellence through lifelong learning

At the end of the program, the graduates will be able to:

PSO1: Analyse and Design solutions to real time complex engineering problems through the knowledge of electronics and computer science

PSO2: Use modern tools and devices to solve problems related to machine learning and deep learning through electronics and computer science applications

Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.

The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change

Graduates of B.Tech in Electronics and Computer Science [with Specialization in Artificial Intelligence and Machine Learning] will be able to:

PEO1: Domain Knowledge
Apply the knowledge of electronics and computer science engineering to analyse, design
and develop solutions for real time engineering problems

PEO2: Research
Pursue higher learning and research

PEO3: Team Work and Ethics
Work in teams with professional ethics

PEO4: Life Long learning
Exhibit professional excellence through lifelong learning

At the end of the program, the graduates will be able to:

PSO1: Analyse and Design solutions to real time complex engineering problems through the knowledge of electronics and computer science

PSO2: Use modern tools and devices to solve problems related to machine learning and deep learning through electronics and computer science applications

Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.

The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change

  • The University does not collect any type of Capitation / Donation other than the fee mentioned in the website.
  • If the Application is incomplete or incorrect, the University Management has the right to reject it.
  • Kindly do not send any original marks cards through post or courier.
  • All selected candidates must note that admission is provisional and subject to University rules.
  • Ignorance of the Terms, Conditions, and guidelines will not be considered as an excuse for non-fulfillment of any stipulated process.
  • It is to be noted that though the fee is fixed for 2 years, there will be a periodic nominal increase to meet the rise in costs.
  • Fees should be paid within the stipulated date for the first year and before the commencement of final examinations of the 2nd semester, 4th Semester, 6th Semester, and 8th Semester for the consecutive years.
  • All those admitted to the programme will have to purchase a laptop at their own cost.
  • Admitted student who wish to avail Bank Loan will be provided a recommendation letter on request by presenting the original fee paid receipt to the Office of Admissions.
  • The decision of the Admission Committee is final and binding.

Graduates of B.Tech in Electronics and Computer Science [with Specialization in Artificial Intelligence and Machine Learning] will be able to:

PEO1: Domain Knowledge
Apply the knowledge of electronics and computer science engineering to analyse, design
and develop solutions for real time engineering problems

PEO2: Research
Pursue higher learning and research

PEO3: Team Work and Ethics
Work in teams with professional ethics

PEO4: Life Long learning
Exhibit professional excellence through lifelong learning

At the end of the program, the graduates will be able to:

PSO1: Analyse and Design solutions to real time complex engineering problems through the knowledge of electronics and computer science

PSO2: Use modern tools and devices to solve problems related to machine learning and deep learning through electronics and computer science applications

Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.

The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change

For any queries at any given time during the application and admission process, you may contact us through the following Email ID’s:
 
Bangalore Central Campus
The Office of Admissions,
CHRIST (Deemed to be University), Hosur Road,
Bengaluru - 560 029, Karnataka, INDIA
Ph. No: +91 92430 80800
Ph. No:  +91 80 4012 9400
 
Email IDs
Indian candidates: admissions@christuniversity.in
Bangalore Bannerghatta Road Campus
CHRIST (Deemed to be University)
Hulimavu, Bannerghatta Road,
Bengaluru - 560 076, Karnataka, INDIA
 
Ph. No:  080 4655 1306
Email:
 admissions.bgr@christuniversity.in
Bangalore Kengeri Campus
CHRIST (Deemed to be University)
Kanmanike, Kumbalgodu, Mysore Road,
Bengaluru - 560 074, Karnataka, INDIA

Ph. No:  +91 80 4012 9800, 9802, 9820
Email:
 admissions.kengeri@christuniversity.in
Bangalore Yeshwanthpur Campus
CHRIST (Deemed to be University)
Nagasandra, Near Tumkur Road,
Bengaluru 560 073, Karnataka, INDIA

Ph. No:  +91 97422 44407, +91 80 6989 6666
Email: admissions.yeshwanthpur@christuniversity.in
Delhi NCR Campus
CHRIST (Deemed to be University),
Mariam Nagar, Meerut Road,
Delhi NCR Ghaziabad - 201003
 
Ph. No: 1800-123-3212
Pune Lavasa Campus
CHRIST (Deemed to be University),
Christ University Road, 30 Valor Court,
PO Dasve Lavasa, Mulshi, Pune - 412112, Maharashtra
 
Ph. No : 1800-123-2009,
Email:
 admission.lavasa@christuniversity.in
Between: Monday to Friday: 09:00 AM to 04:00 PM, Saturday: 09:00 AM to 12:00 PM
(Office remains closed on Sundays, Government Holidays and Any special events)

Graduates of B.Tech in Electronics and Computer Science [with Specialization in Artificial Intelligence and Machine Learning] will be able to:

PEO1: Domain Knowledge
Apply the knowledge of electronics and computer science engineering to analyse, design
and develop solutions for real time engineering problems

PEO2: Research
Pursue higher learning and research

PEO3: Team Work and Ethics
Work in teams with professional ethics

PEO4: Life Long learning
Exhibit professional excellence through lifelong learning

At the end of the program, the graduates will be able to:

PSO1: Analyse and Design solutions to real time complex engineering problems through the knowledge of electronics and computer science

PSO2: Use modern tools and devices to solve problems related to machine learning and deep learning through electronics and computer science applications

Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.

The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change

Applicants may apply for the programme from 8th December 2023 when applications will be available online on the University website till the date applications will officially close.

Applications for each programme will close approximately a week before the scheduled selection process.

All applicants must visit the page: https://appstat.christuniversity.in and register by entering NAME (as printed on Class 10 Marks Card), EMAIL-ID and set a password.  (The email id and mobile number provided will be used for sending confirmation and application status-update messages). An applicant can apply for as many programmes using the same ID as long as the prescribed eligibility criteria for the specific programme is fulfilled.

Applicants must have the following documents prior to fill the application online:

  • Copy of statement of marks of Class 10, Class 11/ 12, (Mandatory).
  • Fill-in all the details in the “detailed application” page. Scan and upload recent passport size photograph (3.5 cms x 4.5 cms formal dress with white background) and click “Submit”. On clicking Submit, a viewable and editable page will appear on screen. In case you need to make any corrections; you may edit the data/details and then click “Confirm Submission”.   
  • Make payment using card and after successful payment click on submit. A 9 (Nine) digit Application number will be generated. If unable to print the application form due to system/power/internet failure, logon to https://appstat.christuniversity.in, under the “Application Status” page enter the registered Email-ID and password to view and print the application form. (After payment if you do not receive the 9 (Nine) digit application number, then your application process is incomplete and payment will go in for refund process. The refund will take about 15 days and must be checked with your bank).

Important

Candidates falling under any of these categories (PIO / OCI / SAARC / AFRICA / ASEAN / OTHER FOREIGN NATIONALS) must send the required supporting documents (Copy of Passport, Copy of PIO / OCI card whichever is applicable and Copy of Class 10 & Class 11/12 Marks card) in an A4 size Envelope ONLY through Registered Post / Courier to: The Co-ordinator, Office of International Affairs, CHRIST (Deemed to be University), Hosur Road, Bengaluru - 560 029, Karnataka, India, Phone: +91 80 4012 9439

  • All other candidates will have to carry the application printout, original documents and a set of photocopies to the selection process on the allotted date, time and venue mentioned on the selection process admit card.
  • All applicants must make note of the username and password, application number, programme applied for, selection process date and city for all further purposes.
  • All travel arrangements if necessary have to be made in advance.
  • The Important Dates section must be referred to prior to filling the application. Applicants must choose the selection process dates from the available options while filling the application online.
  • No request for change of date/city will be entertained.
  • Applicants applying while in their final year of schooling must carry the marks card upto the previous year when they report to the selection process venue. Documents to be carried are application printout along with the original class X and Class XI / XII marks cards and a set of photocopies.
  • Original marks cards and ID proof will be verified during the selection process.

Office of Admissions will communicate with the applicant only through university website www.christuniversity.in under the link “Application Status” or click the link: https://appstat.christuniversity.in

Graduates of B.Tech in Electronics and Computer Science [with Specialization in Artificial Intelligence and Machine Learning] will be able to:

PEO1: Domain Knowledge
Apply the knowledge of electronics and computer science engineering to analyse, design
and develop solutions for real time engineering problems

PEO2: Research
Pursue higher learning and research

PEO3: Team Work and Ethics
Work in teams with professional ethics

PEO4: Life Long learning
Exhibit professional excellence through lifelong learning

At the end of the program, the graduates will be able to:

PSO1: Analyse and Design solutions to real time complex engineering problems through the knowledge of electronics and computer science

PSO2: Use modern tools and devices to solve problems related to machine learning and deep learning through electronics and computer science applications

Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.

The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change

Candidates falling under any of the below mentioned categories must apply under the International Student Category:

  1. Foreign citizens,   
  2. PIO card holders and   
  3. OCI (Dual Citizens)

International students coming from Non-English speaking countries should:

  • produce evidence of passing the qualifying examination in English medium or   
  • have IELTS 6.0 with no sub-score below 5.5 or TOEFL (paper) 550, TOEFL (computer) of 213 or TOEFL (IBT) of 79 scores

Candidates without the above pre-qualifications will have to enroll either for

  • Intensive Certificate course in English Language (Full Time) conducted from March to May each year or   
  • One Semester Certificate course in English Language (Part Time) conducted after regular class hours from June to December.

Note: The International Student category fee structure is binding for the full duration of the programme and cannot be transferred /changed in between.

Candidates from the above listed categories having pursued Indian Educational qualification and who may have applied under the Indian States Category will have to pay the International Student Category Fee. The decision of the Admission committee is final.

Candidates seeking admission through International Student category (Foreign Nationals/PIO/OCI) will have a separate application process, with the following options to apply for any programme at Christ University.

  • Online Application form

Email ID for any clarifications: isc.admission@christuniversity.in

 

Graduates of B.Tech in Electronics and Computer Science [with Specialization in Artificial Intelligence and Machine Learning] will be able to:

PEO1: Domain Knowledge
Apply the knowledge of electronics and computer science engineering to analyse, design
and develop solutions for real time engineering problems

PEO2: Research
Pursue higher learning and research

PEO3: Team Work and Ethics
Work in teams with professional ethics

PEO4: Life Long learning
Exhibit professional excellence through lifelong learning

At the end of the program, the graduates will be able to:

PSO1: Analyse and Design solutions to real time complex engineering problems through the knowledge of electronics and computer science

PSO2: Use modern tools and devices to solve problems related to machine learning and deep learning through electronics and computer science applications

Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.

The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change

Students are welcome to apply under the Non Resident Indian category for the programmes offered by the University. Application process is common for all category of applicants

Students who fall under any of the following classifications can apply under NRI Student category and be liable to pay the fees applicable to the category for the entire duration of the programme

1. NRI defined under the Indian Income Tax Law

2. Either of the parents is outside India (except Nepal) on Work Permit / Resident Permit.

3. Indian citizen financed by any Institution / agency outside India, even if parents are Residents of India.

4. Indian Citizen who has pursued studies for qualifying examination in any foreign / Indian syllabus outside India..

5. NRI fee is applicable for the full duration of the programme for candidates who;
   5.1. Have pursued and completed their last qualifying exam from outside India.
   5.2. Are NRI and candidates who have applied under NRI category

Admission to all programmes is based on academic achievement and CHRIST (Deemed to be University) Selection Process. Candidates should submit the final results of class 12 on or before August 30th of the admission year.

Applicants must read through the Selection process, Fee Structure and other details under the preferred programme given on our website before proceeding with the application process.

NRI SELECTION PROCESS VENUE FOR 2024

 

Graduates of B.Tech in Electronics and Computer Science [with Specialization in Artificial Intelligence and Machine Learning] will be able to:

PEO1: Domain Knowledge
Apply the knowledge of electronics and computer science engineering to analyse, design
and develop solutions for real time engineering problems

PEO2: Research
Pursue higher learning and research

PEO3: Team Work and Ethics
Work in teams with professional ethics

PEO4: Life Long learning
Exhibit professional excellence through lifelong learning

At the end of the program, the graduates will be able to:

PSO1: Analyse and Design solutions to real time complex engineering problems through the knowledge of electronics and computer science

PSO2: Use modern tools and devices to solve problems related to machine learning and deep learning through electronics and computer science applications

Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.

The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change

Graduates of B.Tech in Electronics and Computer Science [with Specialization in Artificial Intelligence and Machine Learning] will be able to:

PEO1: Domain Knowledge
Apply the knowledge of electronics and computer science engineering to analyse, design
and develop solutions for real time engineering problems

PEO2: Research
Pursue higher learning and research

PEO3: Team Work and Ethics
Work in teams with professional ethics

PEO4: Life Long learning
Exhibit professional excellence through lifelong learning

At the end of the program, the graduates will be able to:

PSO1: Analyse and Design solutions to real time complex engineering problems through the knowledge of electronics and computer science

PSO2: Use modern tools and devices to solve problems related to machine learning and deep learning through electronics and computer science applications

Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.

The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change

Eligibility for the programme is a pass at the +2 level (Karnataka PUC / ISC / CBSE / NIOS / State Boards) Examination from any recognised Board.

 

Candidates should have studied Physics, Mathematics and any one of the following 14 subjects# at +2 level and obtained a minimum aggregate of 50% in Physics, Mathematics & any one of the 14 subjects# and 50% in Mathematics.

 

# Chemistry / Computer Science / Electronics / Information Technology / Biology / Informatics Practices / Biotechnology / Technical Vocational subject / Agriculture / Engineering Graphics / Business Studies / Entrepreneurship.

 

Candidates writing the +2 examinations in March-May 2024 may apply with their class X and XI marks.


Students pursuing International curriculum must note that eligibility is according to AIU stipulations:

Applicants pursuing IB curriculum must have 3 HL and 3 SL with 24 credits.

Applicants pursuing GCE / Edexcel must have a minimum of 3 A levels with a grade not less than C.


Lateral Entry:

Candidates who have successfully completed the 3 year diploma in Engineering are eligible to apply for lateral entry into engineering programmes.

Graduates of B.Tech in Electronics and Computer Science [with Specialization in Artificial Intelligence and Machine Learning] will be able to:

PEO1: Domain Knowledge
Apply the knowledge of electronics and computer science engineering to analyse, design
and develop solutions for real time engineering problems

PEO2: Research
Pursue higher learning and research

PEO3: Team Work and Ethics
Work in teams with professional ethics

PEO4: Life Long learning
Exhibit professional excellence through lifelong learning

At the end of the program, the graduates will be able to:

PSO1: Analyse and Design solutions to real time complex engineering problems through the knowledge of electronics and computer science

PSO2: Use modern tools and devices to solve problems related to machine learning and deep learning through electronics and computer science applications

Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.

The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change

1. Admission Registration fee of INR 5000/ (Non-Refundable)
2. Programme fee as per the below table
 
Year
# Karnataka
Other Indian States
NRI
SAARC / AFRICA / PIO / OCI / ASEAN
Other Foreign Nationals
Time of Payment
1
219,000 INR
239,000 INR
349,000 INR
5,100 USD
5,700 USD
Within seven days of declaration of the Selection Process Result
2
219,000 INR
239,000 INR
349,000 INR
5,100 USD
5,700 USD
On or before March 15, 2025
3 239,000 INR 259,000 INR 379,000 INR 5,600 USD 6,200 USD On or before March 15, 2026
4 239,000 INR 259,000 INR 379,000 INR 5,600 USD 6,200 USD On or before March 15, 2027
# The fee for Karnataka domicile students, as indicated in the table, is the actual fee payable and excludes the scholarship amount.
 
It is to be noted that though the fee is fixed for four years, there may be a periodic nominal increase to meet the rise in costs.
 
1. NRI fee is applicable for the first year for candidates who have studied foreign syllabus (has to be approved by UGC / AIU) in the qualifying examination of study in India. In subsequent years Other Indian States fee will be applicable.
(The above condition is not applicable to NRI and candidates applied under NRI Category).
 
2. NRI fee is applicable for the full duration of the Programme for candidates who;
    2.1. Have pursued and completed their last qualifying exam from outside India.
    2.2. Are NRI and candidates who have applied under the NRI category.
 
3. To claim the Indian category fee, the candidates should have studied last 7 years in India. (Not applicable for OCI, PIO and Foreign Nationals).
 
4. Admission registration fee of INR 5000/- is non-refundable in the event of cancellation of admission. This fee will be apart from cancellation charges if applicable.
 
5. All Candidates If “Selected” after appearing for the final selection process, the fee may be paid through the following option:
  • Payment can be made through Net banking / NEFT / RTGS
  • Payment / Transfer of fees does not guarantee admission.
 

Graduates of B.Tech in Electronics and Computer Science [with Specialization in Artificial Intelligence and Machine Learning] will be able to:

PEO1: Domain Knowledge
Apply the knowledge of electronics and computer science engineering to analyse, design
and develop solutions for real time engineering problems

PEO2: Research
Pursue higher learning and research

PEO3: Team Work and Ethics
Work in teams with professional ethics

PEO4: Life Long learning
Exhibit professional excellence through lifelong learning

At the end of the program, the graduates will be able to:

PSO1: Analyse and Design solutions to real time complex engineering problems through the knowledge of electronics and computer science

PSO2: Use modern tools and devices to solve problems related to machine learning and deep learning through electronics and computer science applications

Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.

The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change

CHRIST UNIVERSITY

(Deemed to be University)

Dharmaram College Post, Hosur Road, Bengaluru - 560029,
Karnataka, India

Tel: +91 804012 9100 / 9600

Fax: 40129000

Email: mail@christuniversity.in

Web: http://www. christuniversity.in

Vision

EXCELLENCE AND SERVICE

Mission

CHRIST (Deemed to be University) is a nurturing ground for an individual's holistic development to make effective contribution to the society in a dynamic environment.



Copyright © CHRIST (Deemed to be University) 2020