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Bachelor of Technology | B.Tech. CSE | DS

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Bachelor of Technology | B.Tech. CSE | DS

  • Focuses on the study of artificial intelligence, machine learning, and data analytics
  • Covers areas such as data mining, pattern recognition, neural networks, and natural language processing
  • Emphasises both theoretical understanding and practical implementation of AI and ML techniques
  • Includes projects and research opportunities to apply AI and ML in real-world scenarios
Duration

4 years

Programme Type

Full-time

Programme Fees

Rs.1,75,000/-

Programme Regulations

2024-25
2023-24
2022-23

Programme Structure 2025

PDF is being worked upon by the Academic Council. The updated list will be shared once approved.

Eligibility Criteria

Candidate should have passed the 2nd PUC/12th/Equivalent Exam with a minimum of 45% of marks (40% for Karnataka reserved category candidates) in Physics and Mathematics along with Chemistry/ Computer Science/Electronics/Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship from a recognised board. Candidates must also qualify in one of the following entrance exams: CET/ COMED-K/JEE/Other state entrance tests /National level entrance test
OR
Passed D.Voc. stream in the same or allied sector.

Scope & Objectives

Artificial Intelligence and Data Science have had an active and exciting history and are now established fields within computer science. Many research breakthroughs in these areas have reached the stage of industrial application, enabling companies to generate and save millions of dollars by leveraging the outcomes of Data Science research (as noted in the McKinsey Global Institute report on AI).

To equip students with the right skill set for emerging job opportunities in Data Science—and to support industries in adopting technology-driven solutions—CMR University offers a wide range of new-age IT programmes, with Data Science being a key focus.

This first-of-its-kind B.Tech programme in Computer Science and Engineering with a specialisation in Data Science (DS) is specifically designed to prepare students with both a strong theoretical foundation and practical skills. It aims to equip them to thrive in an era of digital disruption and technological transformation.

Programme Structure

Semester (Chemistry Cycle) I / II

Engineering Mathematics with Python Lab I & II
Engineering Physics
Engineering Chemistry
Fundamentals of Electrical Engineering
Fundamentals of Electronics Engineering
Engineering Mechanics
Elements of Computer Engineering
Problem Solving using Python
Programming in C
Creating with AI
Design Thinking
Active Communication
Languages
Community Service Program

SEMESTER III

Probability, Statistics and Numerical Methods
Object Oriented Programming using Java
Data Structures
Computer Organization and Architecture
Software Engineering
Internship
Indian Constitution
Community Service Program
Career Preparedness Program

SEMESTER IV

Discrete Mathematics and Combinatorics
Database Management Systems
Operating Systems
Data Visualization
Design and Analysis of Algorithms
Making with Electronics
Community Service Program
Introduction to Philosophical Thoughts
Career Preparedness Program

SEMESTER V

Web Development using Python and Django
Introduction to Big Data Analytics
Python for Data Science
Open Elective 1
Professional Elective 1
Interdisciplinary Elective1
Internship
Indian Traditions: Values and Critical Inquiry
Disaster Management
Training & Placement

SEMESTER VI

Data Communication & Computer Networks
Data Mining
No-SQL Databases
Open Elective 2
Professional Elective 2
Inter disciplinary Elective 2
Environment and Sustainability
Contributing to Society (Elective)
Training and Placement

SEMESTER VII

Machine Learning
Professional Elective 3
Professional Elective 4
Inter disciplinary Elective 3
Capstone Project Phase I
Internship
Training and Placement

SEMESTER VIII

Capstone Project Phase – II
Industrial Internship

Programme Assessment

  • Choice-Based Credit System (CBCS): The university follows CBCS, allowing students to choose courses and earn credits based on performance.
  • Grades and GPA: Students are awarded grades per course; SGPA and CGPA are calculated to track academic progress.
  • Prescribed Curriculum: Includes courses, labs, and degree requirements along with SWAYAM and MOOCs from reputed institutions.
  • Auditing Courses: Optional audit courses allow students to gain extra exposure without a grade, improving placement preparedness.
  • Evaluation System: Continuous Internal Evaluation (CIE) and Semester-End Examination (SEE) each carry 50% weightage.
  • Assessment Methods: Include assignments, seminars, quizzes, group discussions, presentations, and industry reports.
  • Semester-End Exams: Conducted for all registered courses, with some exceptions for CIE-only courses.
  • Makeup Examinations: Offered to students who fail SEE, providing a chance to improve grades.

Programme Outcome

  • Apply mathematics, science, and engineering fundamentals to solve complex problems
  • Design systems and solutions with attention to public safety, health, and the environment
  • Conduct experiments and interpret data for valid conclusions
  • Use modern IT and engineering tools effectively
  • Assess societal, legal, and environmental issues responsibly
  • Demonstrate ethical conduct and professional responsibility
  • Function effectively in teams and multidisciplinary settings
  • Communicate clearly in both technical and non-technical contexts
  • Apply management principles in project settings
  • Engage in life-long learning in the rapidly changing tech environment

Course Outcomes Visit

What expertise do you gain?
  • Data science concepts and methodologies
  • Proficiency in programming languages
  • Machine learning algorithms
  • Data visualisation
  • Insight-driven decision-making

Career Opportunities

  • 01
    AI Engineer
  • 02
    Machine Learning Engineer
  • 03
    Data Scientist
  • 04
    Data Analyst
  • 05
    AI Consultant
  • 06
    Research Scientist in AI and ML

Testimonials

My journey at CMR University as a Computer Science and Engineering student has been truly transformative. The college provided a strong foundation in technical skills and fostered my professional growth through hands-on projects and guidance from dedicated faculty. I am grateful for the support and resources that helped me secure a placement at Maple Labs as an Associate Software Engineer. I cherish the memories and learning experiences that have shaped my career path.

Maple Labs

B.Tech CSE

I hereby writing to express my sincere thanks to CMR University for the wonderful education and support I received during my 4 years here. The professors and staffs have helped me to grow both academically and personally. Fortunately, I have secured a position as an Associate Software Engineer at CGI through campus placement. Thank you for everything.

CGI

B.Tech CSE

My time at CMR University has been an amazing journey of learning and growth. The supportive faculty, practical approach to education, and vibrant campus life have helped me build both my skills and confidence. I am proud to say that I am placed in Maple Labs, and I owe a lot of my success to the opportunities and guidance I received herewith.

Maple Labs

B.Tech CSE

Studying at CMR University has been a transformative journey. The consistent support from the placement department, especially Farheen ma'am has been key to helping me secure a placement at CGI. Their guidance, along with the college's nurturing environment, has played a pivotal role in shaping my skills and confidence. I am truly grateful for their efforts and the opportunities provided by the institution and it has been an enriching experience that has prepared me for this milestone.

CGI

B.Tech CSE

I am delighted to share that I have been placed at Eurofins as an Associate Software Engineer through the campus placement drive at CMR University. The university's training sessions, mock interviews, and continuous support from the placement cell were instrumental in helping me achieve this milestone. I am grateful for the opportunities and guidance provided, which have prepared me for this exciting new chapter in my career

Eurofins

B.Tech CSE

How to apply?

Step 1: Application Enquiry
 Receive on-call guidance with step-by-step support to complete your application form.

Step 2: Selection Process
 Candidates are shortlisted after document verification, interview, and the CMRUAT entrance exam.

Step 3: Offer Letter
 An offer letter is issued for further admission steps.

Apply Now

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FAQs

Four years

Written test and interview

10+2 with Physics, Chemistry, and Mathematics as subjects and a minimum of 45% marks in 10+2. Other equivalent qualifications may also be considered.

Yes, it covers almost all areas of computing. CMR University, one of the top Computer Science Engineering colleges in Karnataka, is an excellent choice for the B.Tech. in CSE course. Our course includes modules on network security, data structures, mobile application development, data mining, big data, artificial intelligence, cryptography, digital forensics, and data analytics.

B.Tech. in CSE is one of the best courses available for securing a stable professional future. Study B.Tech. in CSE at one of the top private universities for Computer Science in Bangalore, CMR University. The software and IT industries are emerging fields with many innovations. An undergraduate course in Computer Science will help you build a strong career foundation.

The following are key skills required to be a Computer Science engineer:

  • Analytical skills
  • Creativity
  • Basics of machine learning
  • Web development knowledge
  • Programming skills
  • Critical thinking
  • Problem-solving skills
  • Data structures
  • Algorithms
  • Basics of network security
  • Basics of cryptography
  • Quick learning abilities

Job opportunities for Computer Science engineers with Data Science include:

  • Software Developer
  • Computer Hardware Engineer
  • Web Developer
  • Computer Programmer
  • Game Developer
  • App Developer

The Department of CSE|DS at CMR University offers facilities such as a Data Structures laboratory, labs for programming with Python, a lab for problem-solving programming, a Data Structures and Algorithms lab, a Java programming lab, and a Database Management Systems lab. Additionally, spacious classrooms are equipped with electronic infrastructure for audio-visual teaching aids, rapid prototyping labs, and a conference room for discussions.

Log in to the portal on our website, download the admission form, and fill it out. You can either submit the form in person at the college campus or submit it online after payment of the application fees. If you are shortlisted, you will receive a call for an interview.

Yes, Computer Science engineers are in high demand. With the growth of automation and AI technology, there is a significant need for Computer Science engineers to analyse big data and data analytics. This subject serves as the foundation for many subfields in engineering, creating substantial demand for Computer Science engineers.

Yes, at CMR University, we have a dedicated placement cell with experienced professionals from various engineering fields to train students for placement interviews. We also help students develop their soft skills and leadership abilities from the first year through various modules.

Yes, the B.Tech. course at CMR University provides students with practical training and internship opportunities as part of the curriculum.

Top recruiters for Artificial Intelligence professionals are HCL, MITSUBISHI, Amazon, L&T technology service, DELL, Infosys, and others. AI recruiting is fundamentally important for determining unbiased criteria involving the benefits of a candidate. Through recruiting, AI professionals are able to do the recruiting process in a user-friendly way.

One who has thought about a tech career can apply for a B.Tech. CSE specialisation course in DS. Studying B.Tech. CSE under DS and machine learning engineering colleges in Bangalore are good. B.Tech. computer science colleges in Bangalore provide data science courses that can assist an organisation and an industry in adopting various technology-driven solutions. Studying in the concerned course enhances career opportunities.

There is a growing career opportunity in the courses of Data Science. You can attain different kinds of expertise. Such as Data Science concepts, programming languages, statistical modelling, app development skills, etc. Career opportunities are vast through studying this. One can be a data scientist, business analyst, Data analyst, or data consultant.

B.Tech. DS specialisation in DS graduates has provided many career opportunities. One who has studied this course may have become a software developer, web developer, system analyst, network administrator, cybersecurity analyst, database administrator, or others. Furthermore, one can be an DS specialist, which opens other career opportunities.

ACCP AY(2025-26)