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

  • Bangalore Kengeri Campus
  • Open From : 28-Oct-2024
  • Open Until : 29-Apr-2025
  • 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?

  • Icon

    Dedicated laboratories for data science research.

  • Icon

    Abroad university exchange programs

  • Icon

    Data Science student clubs associated seminars and conferences

  • Icon

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

  • Icon

    Industry 4.0 Curriculum to match with recent frameworks.

  • Icon

    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

 

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 6268 9800, 9802, 9820 ,9828
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 80 6989 6666 / 6667
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

 

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 2025

 

  • 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

 

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
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
  1. One-time registration: This registration allows you to apply for multiple programs using the same Registration ID.
  2. Fill in your details: Enter your name as per your class 10 school certificate, a valid email ID, mobile number, WhatsApp number for further communication, date of birth, and create a password. Reconfirm the password. Ensure all data is correct before submission, as you cannot edit this personal information later. Click on the ‘Register’ button to complete the registration.
  3. Verify with OTP: An OTP will be sent to your mobile number and email ID. Enter the OTP in the given section and click on the ‘Proceed’ button. If you do not find the email in your inbox, check the spam folder.
 
Step-2 Procedure to Login
  1. Login with your credentials: Use your registered email ID and password to log in. Enter them correctly in the respective fields.
  2. Click on the Login button: After entering your details, click on the ‘Login’ button.
  3. Forgot password?: If you forgot your password, click on the ‘Forgot Password’ button and follow the necessary steps to reset it.
 
Step-3 Steps you need to follow to fill out your personal information in the application form:
  1. Select the program: Choose the program and campus to which you want to apply. If there is an option to choose preferences, kindly choose the preference accordingly. All candidates must meet the program specific eligibility criteria. (Eligibility criteria for the program is available on the admissions page on the University website). Ensure all data is correct before proceeding to next step, as you cannot edit this information later.
  2. Photograph: Upload a photo (3.5 cms x 4.5 cms formal dress with white background only not more than 100 kb). Photos with other backgrounds or taken with mobile devices will result in rejection of the application.
  3. Read the terms and conditions: Carefully read the terms and conditions and select the declaration box below.
  4. Personal information: Fill in your personal information, sports achievements (if any), and extracurricular details (if any).
  5. Parent/guardian information: Provide your current and permanent addresses, along with your parent and guardian information.
  6. Educational details: Fill in your educational details and upload clear scanned copies of class 10 and class 11 final report or class 12 Board result. *Applications with no marks cards or unclear scanned copies will be rejected and termed as Not Eligible.
  7. Preview your application: Review the details you have entered. If there are any corrections needed, edit and preview the application form again. Once submitted, the details cannot be corrected, so ensure everything is accurate before submitting.
  8. Select the date and centre for the selection process: Refer to the Important Dates section before filling out the application. Choose the appropriate date and centre for the selection process based on the program you are applying for. No requests for date/venue changes will be entertained.
  9. The application cannot be submitted without filling in all the mandatory fields.
  10. Applicants must save the information as they proceed from page to page.
 
Step-4 Application Fee Payment:
  1. Payment Methods: You can use Net Banking, Credit Card, Debit Card or any UPI for the payment.
  2. Non-Refundable: Applicants must remember that the application registration fee is non-refundable once the application number is generated.
  3. Secure Payment: Make sure you’re on a secure website when entering your payment information.
  4. Application Number: A 9-digit application number will be auto-generated after the successful payment of the application fee.
  5. Payment Failure: In case of payment failure due to a technical error, the application number will not be generated, and any amount deducted will be automatically refunded within 15 business days.
  6. Printing the Application: A copy of the application can be printed anytime from the login until the selection process is completed.
 
Applicants must note:
  1. Documents: Original marks cards of class 10 and class 11 final report or class 12 Board result and valid ID proof will be verified during the selection process. Applicants writting their class 12 exam must carry class 11 final report (Mandatory).
  2. Selection Process: Conducted on the date and venue chosen during the application process or as announced by the office of admissions. The Selection Process will be held in person at the selected date and venue.
  3. All communication will be through the applicant's login only.
 
  • 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

 

Results and Admission Process
  1. Results Announcement: The selection process results will be available on the date mentioned in the Important Dates section on the university’s website.
  2. Results Access: Results can be accessed at this link: https://espro.christuniversity.in/Application/
  3. E-Offer of Admission: Selected candidates will receive an E-Offer of admission, which will be valid until the date specified in the offer.
  4. Provisional Admission: Admission is provisional and subject to university rules. Candidates must meet the specific eligibility criteria for their program.
  5. Fee Payment: Selected candidates must pay the fees using Net Banking/Online Banking or Credit Card. They should also download the offer of admission and choose a date and time to complete the admission process in person with a parent at the selected campus.
To process admission:
  1. Select Date and Time: Choose your preferred date and time from the available options.
  2. Campus Admission: Admission must be processed at the campus where the offer of admission is made
  3. Admission has to be processed as per point (1). Admission will not be processed without the presence of the candidate along with mandatory ORIGINAL DOCUMENTS and one full set of black and white photocopies (xerox) of all the documents mentioned below (MANDATORY):
  • Marks Card: Class 10 and Class 11 final report or Class 12 Board result (Mandatory).
  • Transfer Certificate (TC): of class 12th from the last qualified institution (Mandatory) must be submitted on or before August 30th or as announced by the office of admissions of the admission year.
  • Migration Certificate (MIG): of class 12th from the last qualified institution (applicable for all candidates except Karnataka state board applicants) (Mandatory) must be submitted on or before August 30th or as announced by the office of admissions of the admission year.
  • Two Passport Size Photographs: Formal dress, white background.
  • Two Copies of Payment Acknowledgment Receipt: From application status link https://espro.christuniversity.in/Application/
  • Valid ID Proof: Aadhar, PAN, etc.
  • Additional Documents for International Candidates:
1. Passport and Visa Details (Mandatory)
2. PIO/OCI Card holders: Have to produce a copy of the PIO / OCI card whichever is applicable (Mandatory).
3. Medical Fitness Certificate (MFC): From any recognized medical practitioner certified by the Medical Council of India
4. Resident Permit (RP): (If available while applying)
 
Make sure to have all the original documents and a full set of black and white photocopies (xerox).
 
  1. Document Submission:
    • All mandatory documents must be submitted for verification.
    • All pending original documents (for exams in Feb-April 2025) must be submitted on or before August 30th or as announced by the office of admissions of the admission year
    • Failure to submit pending documents will result in termination of admission.
  2. Bank Account Requirement:
    • All admitted students must open an account at South Indian Bank, CHRIST (Deemed to be University) Branch as part of the admission process.
    • Relevant ID proof (Aadhar Card and Pan Card) is required.
  3. University ID Card:
    • The ID card is a smart card that functions as an ID, ATM card, and access card for various facilities.
    • All transactions within the campus, including fee payments, will be processed through this card.
  4. International Students:
    • Must register with the Foreigner Regional Registration Officer (FRRO/FRO) within 14 working days of admission or arrival in Bengaluru.
  5. Commencement of Academic Year:
    • The start date for the academic year 2025 will be communicated during the admission process.
  6. Caution:
    • The university does not authorize any third party to conduct the selection process or offer admissions.
    • Be wary of unauthorized SMS/Emails promising admissions.
  7. Bank Loan Assistance:
    • Admitted students can request a recommendation letter for a bank loan by presenting the original fee paid receipt to the Office of Admissions.
  8. Laptop:
    • Admitted students may need to purchase a laptop if required by their department.

 

  1. Final Decision:
    • Student allotment in the program of their choice among the various campuses located in Bangalore (Central, Kengeri, Bannerghatta, and Yeshwantpur), Lavasa (Pune), and Delhi NCR Campus of CHRIST University shall be at the sole discretion of the Management. The decision of the Admission Committee is final.
  2. Cancellation Process:
 
 
  • 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

 

IMPORTANT INFORMATION  – SELECTION PROCESS 2025
APRIL AND MAY ENTRANCE TEST TIMINGS (IST)-2024 : 09:00 AM  | 12:00 PM  |  03:30 PM
1. If the entrance test for the 2 or more applications is on the same date and at the same time, you will write one test and the test score will be transferred to the other applications.
2. If the tests are on the same date but at different times or on different dates, the test has to be taken for each application separately.
3. All other processes (SA_MP_PI) will have to be done separately for each application number.
4. Admit Card of all the selection processess will be updated Two or Three Days before the slection process dates
UNDERGRADUATE PROGRAMMES
 
ENTRANCE TEST (ET) PROGRAMMES & SELECTION PROCESS
NONET PROGRAMMES & SELECTION PROCESS
POSTGRADUATE PROGRAMMES
 
ENTRANCE TEST (ET) PROGRAMMES & SELECTION PROCESS
NONET PROGRAMMES & SELECTION PROCESS
 
Once the results are announced Selected Candidates should pay their fee and process the admissions within 5 to 7 working days.
  • 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

 

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 Computer Science and Engineering or Information Technology 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
1
252,000 INR
272,000 INR
360,000 INR
5,200 USD
5,800 USD
Within seven days of declaration of the Selection Process Result
2
252,000 INR
272,000 INR
360,000 INR
5,200 USD
5,800 USD
On or before March 15, 2026
3 272,000 INR 292,000 INR 390,000 INR 5,700 USD 6,300 USD On or before March 15, 2027
4 272,000 INR 292,000 INR 390,000 INR 5,700 USD 6,300 USD On or before March 15, 2028
# The fee for Karnataka domicile students, as indicated in the table, is the actual fee payable and excludes the scholarship amount.
 
It is to be noted that though the fee is fixed for four years, there may be a periodic nominal increase to meet the rise in costs.
 
1. NRI fee is applicable for the first year for candidates who have studied foreign syllabus (has to be approved by UGC / AIU) in the qualifying examination of study in India. In subsequent years Other Indian States fee will be applicable.
(The above condition is not applicable to NRI and candidates applied under NRI Category).
 
2. NRI fee is applicable for the full duration of the Programme for candidates who;
    2.1. Have pursued and completed their last qualifying exam from outside India.
    2.2. Are NRI and candidates who have applied under the NRI category.
 
3. To claim the Indian category fee, the candidates should have studied last 7 years in India. (Not applicable for OCI, PIO and Foreign Nationals).
 
4. Admission registration fee of INR 5000/- is non-refundable in the event of cancellation of admission. This fee will be apart from cancellation charges if applicable.
 
5. All Candidates If “Selected” after appearing for the final selection process, the fee may be paid through the following option:
  • Payment can be made through Net banking / NEFT / RTGS
  • Payment / Transfer of fees does not guarantee admission.
 

CHRIST UNIVERSITY

(Deemed to be University)

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

Tel: +91 804012 9100 / 9600

Fax: 40129000

Email: mail@christuniversity.in

Web: http://www. christuniversity.in

Vision

EXCELLENCE AND SERVICE

Mission

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

Copyright © CHRIST (Deemed to be University) 2020
Website Developed by Cloud Business Pages from INI Technologies Pvt Ltd., Kochi, India