Bachelor of Technology (Computer Science and Engineering - Data Science) - (Lateral Entry)

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

  

  • Professional Acumen : Understand, analyze and design solutions with professional competency for the real world problems
  • Critical Analysis : Develop software/embedded solutions for the requirements, based on critical analysis and research.
  • Team work : Function effectively in a team and as an individual in a multidisciplinary/multicultural environment.
  • Life Long Learning : Accomplish holistic development comprehending professional responsibilities

 

  • An ability to apply Engineering knowledge of computing, mathematics, science, and computer science & engineering fundamentals for Problem solving.
  • An ability to think critically to identify, formulate, and solve complex computer science & engineering problems by developing models, evaluating validity and accuracy of solutions in terms of computer science and engineering validity measures.
  • An ability to analyse, design of complex problems, implement, and evaluate a computer-based system, to meet expected needs with appropriate considerations such as economic / environmental/societal.
  • An ability to conduct experiments to investigate problems based on changing requirements, analyze and interpret results.
  • An ability to create, select, adapt appropriate techniques and use of the modern computational tools, techniques and skills, and best of engineering practices.
  • To understand the impact of contextual knowledge on social aspects and cultural issues.
  • An ability to understand contemporary issues related to social & environmental context for sustainable development of engineering solutions.
  • An ability to understand professional & ethical responsibility to contribute for societal and national needs.
  • An ability to function and coordinate effectively as an individual, as a member or leader in diverse, multicultural& multidisciplinary teams
  • An ability to communicate effectively.
  • An understanding of computer science and engineering & management principles to manage software projects.
  • A recognition and realization of the need for, and an ability to engage in lifelong learning.

 

Data Science : To utilize Data Science principles to formulate the appropriate solutions for the real world problems
Data Analytics : To assess the models of data analysis, quality of inputs and investigate the issues.
Service Learning : Analyze Social Relevant Problems and design solutions through Service Learning

 

Overview

 

Computer Science and Engineering (Data Science) is a 4 year, 8 semesters undergraduate program which is a new, exponentially growing field that consists of a set of tools and techniques used to extract useful information from data. The program encompasses data Science as an interdisciplinary, problem-solving oriented subject that learns to apply scientific techniques to practical problems. The course curriculum involves a blend of data inference, algorithm development, and technology to analytically solve complex problems. The program imparts a confluence of skills in three major areas of mathematical expertise, technology hacking skills, and business strategy and acumen. The core of this program is the ultimate use of enormous data in creative ways to generate business value. Hidden insights are brought to the fore to enable companies to make smarter business decisions. Data Science program orients on practical classes and self-study during the preparation of datasets and programming of data analysis tasks.

This course emphasizes on developing the necessary skills for the students to sustain in today’s industrial expectation, in the pursuit of excellence by keeping high personal and professional values and ethics. BTech CSE-Data Science specialization program is a multidisciplinary field that combines statistics, programming, domain knowledge, and data analysis skills. The increasing significance of data in our digital age, along with the numerous opportunities it presents across industries, makes data science courses highly sought after by individuals and organizations looking to harness the power of data for better decision-making and innovation. The demand for data scientists and data architects have been on the rise in recent years, and this trend is expected to continue for the foreseeable future.

Why choose this course?

  • Dedicated laboratories for data science research.

  • Abroad university exchange programs

  • Data Science student clubs associated seminars and conferences

  • Industry Tie-ups for internships, project work and for placements.

  • Industry 4.0 Curriculum to match with recent frameworks.

  • Exclusive domain expert faculty members

What you will learn?

 
  • Students will learn how to write code in various programming languages like Python, R, understand data structures, and design algorithms used in data science.
  • Understanding of different types of databases, SQL, NoSQL, and database management.
  • Familiarity with technologies like Hadoop, Spark, and related distributed computing systems.
  • Students would likely learn about data manipulation, statistical analysis, and data visualization techniques using tools such as IBM’s SPSS and Tableau.
  • Gaining skills in web technologies, such as HTML, CSS, JavaScript, and server-side scripting. This includes building dynamic web applications.
  • Practical experience in solving real-world problems using data science and engineering techniques. Skills related to managing data science projects and working in teams.

Modules

 
  • Basic Sciences
  • Holistic Education
  • Technical English skills

Year 1

  • Computer Programming language
  • Engineering Graphics
 
 
  • Statistical foundations for Data Analytics
  • Data Structure concepts

Year 2

  • Operating Systems
  • Database Management Systems
  • Python for Data Science
 
 
  • Mini Project + Internships (Data Science Specific)
  • Business Intelligence

Year 3

  • Artificial Intelligence
  • Big Data Analytics
  • Program Electives
 
 
  • Project+ Internships/Seminars (Data Science Specific)
  • Web Analytics

Year 4

  • Open Electives
  • Program Electives
 

Career prospects

 
  • Data science researchers contribute to advancing technology and applications in academia or research institutions.
  • Data Visualization techniques and interdisciplinary work leading to initiation of start-up / entrepreneurship.
  • The earning potential and salary ranges associated with a Data Science profession or industry is enormous.
  • Data scientists gather, clean, and analyze data to extract valuable insights, aiding organizations in informed decision-making, often employing statistical and machine learning techniques.
  • ML and AI models perform data-driven tasks like image recognition, predictive modeling, natural language processing, computer vision, and decision-making..
  • Data engineering spawns various data scientist roles: Forensic, Business, Sports, Healthcare, Environmental, Government, Marketing, etc.

  

  • Professional Acumen : Understand, analyze and design solutions with professional competency for the real world problems
  • Critical Analysis : Develop software/embedded solutions for the requirements, based on critical analysis and research.
  • Team work : Function effectively in a team and as an individual in a multidisciplinary/multicultural environment.
  • Life Long Learning : Accomplish holistic development comprehending professional responsibilities

 

  • An ability to apply Engineering knowledge of computing, mathematics, science, and computer science & engineering fundamentals for Problem solving.
  • An ability to think critically to identify, formulate, and solve complex computer science & engineering problems by developing models, evaluating validity and accuracy of solutions in terms of computer science and engineering validity measures.
  • An ability to analyse, design of complex problems, implement, and evaluate a computer-based system, to meet expected needs with appropriate considerations such as economic / environmental/societal.
  • An ability to conduct experiments to investigate problems based on changing requirements, analyze and interpret results.
  • An ability to create, select, adapt appropriate techniques and use of the modern computational tools, techniques and skills, and best of engineering practices.
  • To understand the impact of contextual knowledge on social aspects and cultural issues.
  • An ability to understand contemporary issues related to social & environmental context for sustainable development of engineering solutions.
  • An ability to understand professional & ethical responsibility to contribute for societal and national needs.
  • An ability to function and coordinate effectively as an individual, as a member or leader in diverse, multicultural& multidisciplinary teams
  • An ability to communicate effectively.
  • An understanding of computer science and engineering & management principles to manage software projects.
  • A recognition and realization of the need for, and an ability to engage in lifelong learning.

 

Data Science : To utilize Data Science principles to formulate the appropriate solutions for the real world problems
Data Analytics : To assess the models of data analysis, quality of inputs and investigate the issues.
Service Learning : Analyze Social Relevant Problems and design solutions through Service Learning

 

  

  • Professional Acumen : Understand, analyze and design solutions with professional competency for the real world problems
  • Critical Analysis : Develop software/embedded solutions for the requirements, based on critical analysis and research.
  • Team work : Function effectively in a team and as an individual in a multidisciplinary/multicultural environment.
  • Life Long Learning : Accomplish holistic development comprehending professional responsibilities

 

  • An ability to apply Engineering knowledge of computing, mathematics, science, and computer science & engineering fundamentals for Problem solving.
  • An ability to think critically to identify, formulate, and solve complex computer science & engineering problems by developing models, evaluating validity and accuracy of solutions in terms of computer science and engineering validity measures.
  • An ability to analyse, design of complex problems, implement, and evaluate a computer-based system, to meet expected needs with appropriate considerations such as economic / environmental/societal.
  • An ability to conduct experiments to investigate problems based on changing requirements, analyze and interpret results.
  • An ability to create, select, adapt appropriate techniques and use of the modern computational tools, techniques and skills, and best of engineering practices.
  • To understand the impact of contextual knowledge on social aspects and cultural issues.
  • An ability to understand contemporary issues related to social & environmental context for sustainable development of engineering solutions.
  • An ability to understand professional & ethical responsibility to contribute for societal and national needs.
  • An ability to function and coordinate effectively as an individual, as a member or leader in diverse, multicultural& multidisciplinary teams
  • An ability to communicate effectively.
  • An understanding of computer science and engineering & management principles to manage software projects.
  • A recognition and realization of the need for, and an ability to engage in lifelong learning.

 

Data Science : To utilize Data Science principles to formulate the appropriate solutions for the real world problems
Data Analytics : To assess the models of data analysis, quality of inputs and investigate the issues.
Service Learning : Analyze Social Relevant Problems and design solutions through Service Learning

 

  • 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.

  

  • Professional Acumen : Understand, analyze and design solutions with professional competency for the real world problems
  • Critical Analysis : Develop software/embedded solutions for the requirements, based on critical analysis and research.
  • Team work : Function effectively in a team and as an individual in a multidisciplinary/multicultural environment.
  • Life Long Learning : Accomplish holistic development comprehending professional responsibilities

 

  • An ability to apply Engineering knowledge of computing, mathematics, science, and computer science & engineering fundamentals for Problem solving.
  • An ability to think critically to identify, formulate, and solve complex computer science & engineering problems by developing models, evaluating validity and accuracy of solutions in terms of computer science and engineering validity measures.
  • An ability to analyse, design of complex problems, implement, and evaluate a computer-based system, to meet expected needs with appropriate considerations such as economic / environmental/societal.
  • An ability to conduct experiments to investigate problems based on changing requirements, analyze and interpret results.
  • An ability to create, select, adapt appropriate techniques and use of the modern computational tools, techniques and skills, and best of engineering practices.
  • To understand the impact of contextual knowledge on social aspects and cultural issues.
  • An ability to understand contemporary issues related to social & environmental context for sustainable development of engineering solutions.
  • An ability to understand professional & ethical responsibility to contribute for societal and national needs.
  • An ability to function and coordinate effectively as an individual, as a member or leader in diverse, multicultural& multidisciplinary teams
  • An ability to communicate effectively.
  • An understanding of computer science and engineering & management principles to manage software projects.
  • A recognition and realization of the need for, and an ability to engage in lifelong learning.

 

Data Science : To utilize Data Science principles to formulate the appropriate solutions for the real world problems
Data Analytics : To assess the models of data analysis, quality of inputs and investigate the issues.
Service Learning : Analyze Social Relevant Problems and design solutions through Service Learning

 

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)

  

  • Professional Acumen : Understand, analyze and design solutions with professional competency for the real world problems
  • Critical Analysis : Develop software/embedded solutions for the requirements, based on critical analysis and research.
  • Team work : Function effectively in a team and as an individual in a multidisciplinary/multicultural environment.
  • Life Long Learning : Accomplish holistic development comprehending professional responsibilities

 

  • An ability to apply Engineering knowledge of computing, mathematics, science, and computer science & engineering fundamentals for Problem solving.
  • An ability to think critically to identify, formulate, and solve complex computer science & engineering problems by developing models, evaluating validity and accuracy of solutions in terms of computer science and engineering validity measures.
  • An ability to analyse, design of complex problems, implement, and evaluate a computer-based system, to meet expected needs with appropriate considerations such as economic / environmental/societal.
  • An ability to conduct experiments to investigate problems based on changing requirements, analyze and interpret results.
  • An ability to create, select, adapt appropriate techniques and use of the modern computational tools, techniques and skills, and best of engineering practices.
  • To understand the impact of contextual knowledge on social aspects and cultural issues.
  • An ability to understand contemporary issues related to social & environmental context for sustainable development of engineering solutions.
  • An ability to understand professional & ethical responsibility to contribute for societal and national needs.
  • An ability to function and coordinate effectively as an individual, as a member or leader in diverse, multicultural& multidisciplinary teams
  • An ability to communicate effectively.
  • An understanding of computer science and engineering & management principles to manage software projects.
  • A recognition and realization of the need for, and an ability to engage in lifelong learning.

 

Data Science : To utilize Data Science principles to formulate the appropriate solutions for the real world problems
Data Analytics : To assess the models of data analysis, quality of inputs and investigate the issues.
Service Learning : Analyze Social Relevant Problems and design solutions through Service Learning

 

APPLICATION PROCESS (LATERAL)

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

Candidates who have successfully completed 3 year diploma in Engineering are eligible to apply for lateral entry admission to II Year.
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.
 
Application Mode:
Online mode: To fill and submit application using online mode, log on to our website www.christuniversity.in and click on “Admissions”, proceed to click on the Application Status followed by appstat link: https://appstat.christuniversity.in/. In the confirmation page click, on ‘Applications’ and click on the preferred programme.
 
Guidelines to applicants:
Candidates should make sure that they enter the correct marks in the “previous qualification” field entry given in the online application form as this data will be carried forward for preparing the selection list. Any error in the marks entered will be treated as fraudulence / falsification of marks and the application will be rejected at any given time during the application/selection or admission process.
a) To fill the application you must have a copy of statement of marks and certificates of Class 10 and Diploma (Mandatory).
b) Copy of Transfer Certificate from last qualified Institution and Migration Certificate from last qualified Board for all candidates except Karnataka State Board (If available while applying).
c) 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”.
d) 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).

  

  • Professional Acumen : Understand, analyze and design solutions with professional competency for the real world problems
  • Critical Analysis : Develop software/embedded solutions for the requirements, based on critical analysis and research.
  • Team work : Function effectively in a team and as an individual in a multidisciplinary/multicultural environment.
  • Life Long Learning : Accomplish holistic development comprehending professional responsibilities

 

  • An ability to apply Engineering knowledge of computing, mathematics, science, and computer science & engineering fundamentals for Problem solving.
  • An ability to think critically to identify, formulate, and solve complex computer science & engineering problems by developing models, evaluating validity and accuracy of solutions in terms of computer science and engineering validity measures.
  • An ability to analyse, design of complex problems, implement, and evaluate a computer-based system, to meet expected needs with appropriate considerations such as economic / environmental/societal.
  • An ability to conduct experiments to investigate problems based on changing requirements, analyze and interpret results.
  • An ability to create, select, adapt appropriate techniques and use of the modern computational tools, techniques and skills, and best of engineering practices.
  • To understand the impact of contextual knowledge on social aspects and cultural issues.
  • An ability to understand contemporary issues related to social & environmental context for sustainable development of engineering solutions.
  • An ability to understand professional & ethical responsibility to contribute for societal and national needs.
  • An ability to function and coordinate effectively as an individual, as a member or leader in diverse, multicultural& multidisciplinary teams
  • An ability to communicate effectively.
  • An understanding of computer science and engineering & management principles to manage software projects.
  • A recognition and realization of the need for, and an ability to engage in lifelong learning.

 

Data Science : To utilize Data Science principles to formulate the appropriate solutions for the real world problems
Data Analytics : To assess the models of data analysis, quality of inputs and investigate the issues.
Service Learning : Analyze Social Relevant Problems and design solutions through Service Learning

 

ADMISSION PROCESS (LATERAL)
Candidates will be intimated about the Selection status (Selected / Wait Listed / Not Selected) through the “Application Status” link on the University website. The Selection results will be declared as mentioned in the important dates link.
Note: Candidates must note that if selected, admission is provisional and subject to University rules. Admission shall be processed at Office of Admissions, CHRIST (Deemed to be University), School of Engineering and Technology , Mysore Road, Kanmanike, Kumbalgodu Post, Bengaluru - 560 074 as per the stipulated date and time mentioned in the offer of the admission card.


Selected candidates must download the offer of admission on ‘Application Status’ link on the University website.
To process admission:
1. Candidates must choose the preferred date and time from available options to facilitate smooth admission process.
2. Admission shall be processed at the campus where the programme is offered as published in the offer of admission.
3. As per University Grants Commission (UGC) guidelines, fee payment shall to be made through online mode only.
4. Payment options and details shall be available in the Offer of admission.
5. Fees for second year including Admission Registration fee must be paid in full as part of the admission process.

Admission shall not be processed without the presence of the candidate and the mandatory ORIGINAL DOCUMENTS and one set of photocopies mentioned below:
1. Original Class 10 Marks Statement and Diploma marks cards (Mandatory).
2. Transfer Certificate (TC) of Institute which offered diploma  from the last qualified institution must be submitted by 20 August, 2023 (Mandatory).
3. Migration Certificate of Institute which offered diploma (applicable for all candidates except Karnataka state board applicants) must be submitted by 20 August, 2023 (Mandatory).
4. One Stamp size and one passport size photograph formal dress with white background (Mandatory).
5. Two Copies of the Online Payment Receipt (Mandatory).
6. Copy of valid ID proof (Aadhar Card / Aadhar Enrolment Receipt / PAN Card / Voter ID Card).
7. Candidates falling under any of these categories (NRI / PIO / OCI / SAARC / AFRICA / ASEAN / OTHER FOREIGN NATIONALS) have to submit:
  a) Copy of Passport and valid Visa Details (Mandatory).
  b) Person of Indian Origin (PIO) /Overseas Citizen of India (OCI) have to produce the copy of PIO / OCI card whichever is applicable (Mandatory).
  c) Medical Fitness Certificate (MFC) from any recognized medical practitioner certified by the Medical Council of India and
  d) 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 - 2023], must be submitted to the Office of Admissions. These documents must be submitted on or before 20 August, 2023.
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) for opening the account as requested by the bank.

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 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 arrival in Bengaluru.

The date of commencement of the academic Year 2023 will be intimated during the admission process.

Please Note:
I) The University does not collect any type of capitation / donation other than the fees mentioned in the website.
II) All those admitted to the programme will have to purchase a laptop at their own cost, if required by the department.
III) Admitted students 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.
IV) The decision of the admission committee is final and binding.

  

  • Professional Acumen : Understand, analyze and design solutions with professional competency for the real world problems
  • Critical Analysis : Develop software/embedded solutions for the requirements, based on critical analysis and research.
  • Team work : Function effectively in a team and as an individual in a multidisciplinary/multicultural environment.
  • Life Long Learning : Accomplish holistic development comprehending professional responsibilities

 

  • An ability to apply Engineering knowledge of computing, mathematics, science, and computer science & engineering fundamentals for Problem solving.
  • An ability to think critically to identify, formulate, and solve complex computer science & engineering problems by developing models, evaluating validity and accuracy of solutions in terms of computer science and engineering validity measures.
  • An ability to analyse, design of complex problems, implement, and evaluate a computer-based system, to meet expected needs with appropriate considerations such as economic / environmental/societal.
  • An ability to conduct experiments to investigate problems based on changing requirements, analyze and interpret results.
  • An ability to create, select, adapt appropriate techniques and use of the modern computational tools, techniques and skills, and best of engineering practices.
  • To understand the impact of contextual knowledge on social aspects and cultural issues.
  • An ability to understand contemporary issues related to social & environmental context for sustainable development of engineering solutions.
  • An ability to understand professional & ethical responsibility to contribute for societal and national needs.
  • An ability to function and coordinate effectively as an individual, as a member or leader in diverse, multicultural& multidisciplinary teams
  • An ability to communicate effectively.
  • An understanding of computer science and engineering & management principles to manage software projects.
  • A recognition and realization of the need for, and an ability to engage in lifelong learning.

 

Data Science : To utilize Data Science principles to formulate the appropriate solutions for the real world problems
Data Analytics : To assess the models of data analysis, quality of inputs and investigate the issues.
Service Learning : Analyze Social Relevant Problems and design solutions through Service Learning

 

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

 

  

  • Professional Acumen : Understand, analyze and design solutions with professional competency for the real world problems
  • Critical Analysis : Develop software/embedded solutions for the requirements, based on critical analysis and research.
  • Team work : Function effectively in a team and as an individual in a multidisciplinary/multicultural environment.
  • Life Long Learning : Accomplish holistic development comprehending professional responsibilities

 

  • An ability to apply Engineering knowledge of computing, mathematics, science, and computer science & engineering fundamentals for Problem solving.
  • An ability to think critically to identify, formulate, and solve complex computer science & engineering problems by developing models, evaluating validity and accuracy of solutions in terms of computer science and engineering validity measures.
  • An ability to analyse, design of complex problems, implement, and evaluate a computer-based system, to meet expected needs with appropriate considerations such as economic / environmental/societal.
  • An ability to conduct experiments to investigate problems based on changing requirements, analyze and interpret results.
  • An ability to create, select, adapt appropriate techniques and use of the modern computational tools, techniques and skills, and best of engineering practices.
  • To understand the impact of contextual knowledge on social aspects and cultural issues.
  • An ability to understand contemporary issues related to social & environmental context for sustainable development of engineering solutions.
  • An ability to understand professional & ethical responsibility to contribute for societal and national needs.
  • An ability to function and coordinate effectively as an individual, as a member or leader in diverse, multicultural& multidisciplinary teams
  • An ability to communicate effectively.
  • An understanding of computer science and engineering & management principles to manage software projects.
  • A recognition and realization of the need for, and an ability to engage in lifelong learning.

 

Data Science : To utilize Data Science principles to formulate the appropriate solutions for the real world problems
Data Analytics : To assess the models of data analysis, quality of inputs and investigate the issues.
Service Learning : Analyze Social Relevant Problems and design solutions through Service Learning

 

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

 

  

  • Professional Acumen : Understand, analyze and design solutions with professional competency for the real world problems
  • Critical Analysis : Develop software/embedded solutions for the requirements, based on critical analysis and research.
  • Team work : Function effectively in a team and as an individual in a multidisciplinary/multicultural environment.
  • Life Long Learning : Accomplish holistic development comprehending professional responsibilities

 

  • An ability to apply Engineering knowledge of computing, mathematics, science, and computer science & engineering fundamentals for Problem solving.
  • An ability to think critically to identify, formulate, and solve complex computer science & engineering problems by developing models, evaluating validity and accuracy of solutions in terms of computer science and engineering validity measures.
  • An ability to analyse, design of complex problems, implement, and evaluate a computer-based system, to meet expected needs with appropriate considerations such as economic / environmental/societal.
  • An ability to conduct experiments to investigate problems based on changing requirements, analyze and interpret results.
  • An ability to create, select, adapt appropriate techniques and use of the modern computational tools, techniques and skills, and best of engineering practices.
  • To understand the impact of contextual knowledge on social aspects and cultural issues.
  • An ability to understand contemporary issues related to social & environmental context for sustainable development of engineering solutions.
  • An ability to understand professional & ethical responsibility to contribute for societal and national needs.
  • An ability to function and coordinate effectively as an individual, as a member or leader in diverse, multicultural& multidisciplinary teams
  • An ability to communicate effectively.
  • An understanding of computer science and engineering & management principles to manage software projects.
  • A recognition and realization of the need for, and an ability to engage in lifelong learning.

 

Data Science : To utilize Data Science principles to formulate the appropriate solutions for the real world problems
Data Analytics : To assess the models of data analysis, quality of inputs and investigate the issues.
Service Learning : Analyze Social Relevant Problems and design solutions through Service Learning

 

  

  • Professional Acumen : Understand, analyze and design solutions with professional competency for the real world problems
  • Critical Analysis : Develop software/embedded solutions for the requirements, based on critical analysis and research.
  • Team work : Function effectively in a team and as an individual in a multidisciplinary/multicultural environment.
  • Life Long Learning : Accomplish holistic development comprehending professional responsibilities

 

  • An ability to apply Engineering knowledge of computing, mathematics, science, and computer science & engineering fundamentals for Problem solving.
  • An ability to think critically to identify, formulate, and solve complex computer science & engineering problems by developing models, evaluating validity and accuracy of solutions in terms of computer science and engineering validity measures.
  • An ability to analyse, design of complex problems, implement, and evaluate a computer-based system, to meet expected needs with appropriate considerations such as economic / environmental/societal.
  • An ability to conduct experiments to investigate problems based on changing requirements, analyze and interpret results.
  • An ability to create, select, adapt appropriate techniques and use of the modern computational tools, techniques and skills, and best of engineering practices.
  • To understand the impact of contextual knowledge on social aspects and cultural issues.
  • An ability to understand contemporary issues related to social & environmental context for sustainable development of engineering solutions.
  • An ability to understand professional & ethical responsibility to contribute for societal and national needs.
  • An ability to function and coordinate effectively as an individual, as a member or leader in diverse, multicultural& multidisciplinary teams
  • An ability to communicate effectively.
  • An understanding of computer science and engineering & management principles to manage software projects.
  • A recognition and realization of the need for, and an ability to engage in lifelong learning.

 

Data Science : To utilize Data Science principles to formulate the appropriate solutions for the real world problems
Data Analytics : To assess the models of data analysis, quality of inputs and investigate the issues.
Service Learning : Analyze Social Relevant Problems and design solutions through Service Learning

 

Lateral Entry:

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

  

  • Professional Acumen : Understand, analyze and design solutions with professional competency for the real world problems
  • Critical Analysis : Develop software/embedded solutions for the requirements, based on critical analysis and research.
  • Team work : Function effectively in a team and as an individual in a multidisciplinary/multicultural environment.
  • Life Long Learning : Accomplish holistic development comprehending professional responsibilities

 

  • An ability to apply Engineering knowledge of computing, mathematics, science, and computer science & engineering fundamentals for Problem solving.
  • An ability to think critically to identify, formulate, and solve complex computer science & engineering problems by developing models, evaluating validity and accuracy of solutions in terms of computer science and engineering validity measures.
  • An ability to analyse, design of complex problems, implement, and evaluate a computer-based system, to meet expected needs with appropriate considerations such as economic / environmental/societal.
  • An ability to conduct experiments to investigate problems based on changing requirements, analyze and interpret results.
  • An ability to create, select, adapt appropriate techniques and use of the modern computational tools, techniques and skills, and best of engineering practices.
  • To understand the impact of contextual knowledge on social aspects and cultural issues.
  • An ability to understand contemporary issues related to social & environmental context for sustainable development of engineering solutions.
  • An ability to understand professional & ethical responsibility to contribute for societal and national needs.
  • An ability to function and coordinate effectively as an individual, as a member or leader in diverse, multicultural& multidisciplinary teams
  • An ability to communicate effectively.
  • An understanding of computer science and engineering & management principles to manage software projects.
  • A recognition and realization of the need for, and an ability to engage in lifelong learning.

 

Data Science : To utilize Data Science principles to formulate the appropriate solutions for the real world problems
Data Analytics : To assess the models of data analysis, quality of inputs and investigate the issues.
Service Learning : Analyze Social Relevant Problems and design solutions through Service Learning

 

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
2
190,000 INR
200,000 INR
270,000 INR
4,500 USD
5,000 USD
Within seven days of declaration of the Selection Process Result
3 210,000 INR 230,000 INR 300,000 INR 5,000 USD 5,500 USD On or before March 15, 2024
4 210,000 INR 230,000 INR 300,000 INR 5,000 USD 5,500 USD On or before March 15, 2025
# 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 three 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.

For the Application form, click the below link:
 

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.



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