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
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.
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
|
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
NRI candidates: nri.admission@christuniversity.in
International: isc.admission@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
|
Bangalore Yeshwanthpur Campus
CHRIST (Deemed to be University)
Nagasandra, Near Tumkur Road,
Bengaluru 560 073, Karnataka, INDIA |
|
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 |
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:
International students coming from Non-English speaking countries should:
Candidates without the above pre-qualifications will have to enroll either for
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.
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
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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
|
INSTRUCTIONS FOR SUBMISSION OF ONLINE APPLICATION FORM
Candidates are required to apply online only through the University website www.christuniversity.in No other means/mode of application will be accepted.
Candidates should thoroughly go through the programme eligibility criteria, etc. before applying.
All applicants are required to create a one-time registration ID to be able to apply for the programme of their choice. They can create the Login ID by
Using the following link https://espro.christuniversity.in/Application/
OR
Through the program of your choice. After selecting the program, you will be redirected to the Registration for New Students Admission page.
Step-1 Procedure to Register as a New applicant
Step-2 Procedure to Login
Step-3 Steps you need to follow to fill out your personal information in the application form:
Step-4 Application Fee Payment:
Applicants must note:
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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
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 2025 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
|
Year
|
# Karnataka
|
Other Indian States
|
NRI
|
SAARC / AFRICA / PIO / OCI / ASEAN
|
Other Foreign Nationals
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Time of Payment
|
|
1
|
238,000 INR
|
258,000 INR
|
354,000 INR
|
5,100 USD
|
5,700 USD
|
Within seven days of declaration of the Selection Process Result
|
|
2
|
238,000 INR
|
258,000 INR
|
354,000 INR
|
5,100 USD
|
5,700 USD
|
On or before March 15, 2026
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| 3 | 258,000 INR | 278,000 INR | 384,000 INR | 5,600 USD | 6,200 USD | On or before March 15, 2027 |
| 4 | 258,000 INR | 278,000 INR | 384,000 INR | 5,600 USD | 6,200 USD | On or before March 15, 2028 |
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# 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:
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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
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
EXCELLENCE AND SERVICE
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.
