B.Tech.| CST* (with Specialisation in AI & ML/ Internet Of Things) IT. ECE

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Bachelor of Technoloy | B.Tech.| CST* (with Specialisation in AI & ML/ Internet Of Things) IT. ECE

CMR University’s Computer Science & Technology programmes are designed to respond to the dynamic progress from Information to Intelligence Technology. As one of the best universities in Bangalore for computer science, our programme focuses on theoretical learning and application development to equip students with the skills and competencies required to envision and build innovative products.

The curriculum includes computer engineering frameworks and entrepreneurship, making it one of the leading computer science programmes in Bangalore. Students develop competencies in critical thinking, problem exploration, and problem-solving with a focus on project-based learning.

Duration

4 years

Programme Type

Full-time

Programme Fees

₹1,37,500/- per semester

Programme Structure

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

Eligibility Criteria

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

Scope & Objectives

At the end of the programme, the student:

Should be able to apply the concepts of basic science, engineering fundamentals, and computer science and engineering to provide computer-aided solutions for complex engineering problems.
Should be able to apply technical knowledge to develop, test, and maintain software and hardware tools to meet the automation needs of industry and society.
Should have the capability to analyse, comprehend, design, and develop computer applications for a variety of engineering problems, thus demonstrating professional ethics and concern for social welfare.

Programme Structure

The Computer Science programme at CMR University is highly ranked and often compared to the top computer science engineering colleges in Karnataka. Its syllabus for each semester is as follows:

Semester (Physics Cycle) I / II

Mathematics
Physics
Elements of Electrical Engineering
Elements of Civil Engineering
CAED
Common Core

Semester (Chemistry Cycle) I / II

Mathematics
Chemistry
Elements of Electrical Engineering
Elements of Mechanical & Workshop
Elements of Computer Engineering
Problem Solving Using Programming
Common Core

Semester III

Mathematics 3
Discrete Mathematical Structures
Data Structures Using C
Digital Logic Design
Programming Using Python (P2)
Common Core

Semester IV

Mathematics 4
Computer Architecture with ALP
Database Management Systems
Theory of Computation
Object-Oriented Programming with Java (P3)
Common Core

Programme Assessment

Choice-Based Credit System (CBCS): Allows students to choose courses and earn credits based on their performance.
Grades and GPA: Students are awarded grades for each course in a semester. Semester Grade Point Average (SGPA) is calculated to measure performance per semester, and Cumulative Grade Point Average (CGPA) measures overall performance.
Prescribed Curriculum: Each programme includes a prescribed curriculum or Scheme of Teaching and Evaluation. It incorporates SWAYAM and Massive Open Online Courses (MOOCs) offered by reputed institutions.
Auditing Courses: Students may audit courses to gain additional exposure without grade pressure, which can benefit placements.
Evaluation System: Comprises Continuous Internal Evaluation (CIE) and Semester End Examination (SEE), each carrying 50% weightage.
Assessment Methods: Faculty may choose from methods such as assignments, seminars, quizzes, group discussions, case studies, practical activities, and presentations.
Semester End Examination: Conducted for all registered courses unless the course has only CIE.
Makeup Examinations: Offered to students who fail the SEE in one or more courses, allowing them to retake and improve their grades.

Programme Outcome

Engineering Knowledge: Apply the knowledge of Mathematics, Science, Engineering Fundamentals, and a specialisation to solve complex engineering problems.
Design/Development of Solutions: Design solutions for complex engineering problems and system components considering public health, safety, and environmental factors.
Investigations of Complex Problems: Use research-based knowledge and methods to analyse and interpret data, and synthesise information for valid conclusions.
Modern Tool Usage: Select and apply appropriate techniques, resources, and modern engineering and IT tools with an understanding of limitations.
The Engineer and Society: Apply contextual knowledge to assess societal, health, safety, legal, and cultural issues.
Environment and Sustainability: Understand the impact of professional engineering solutions on societal and environmental contexts, and demonstrate the need for sustainable development.
Ethics: Commit to professional ethics and responsibilities.
Individual and Team Work: Function effectively as an individual or team member in multidisciplinary settings.
Communication: Communicate effectively in professional settings, including writing reports, documentation, and presentations.
Project Management and Finance: Apply engineering and management principles to team and project work.
Lifelong Learning: Demonstrate preparedness for independent, lifelong learning in the context of technological change.

What Expertise Do You Gain?

Artificial Intelligence and Neural Networks
Machine Learning Algorithms and Applications
Internet of Things (IoT) Architecture and Protocols
Data Science and Big Data Analytics
Embedded Systems and IoT Hardware Integration
Natural Language Processing (NLP)
Cloud Computing for IoT and AI
Computer Vision and Image Processing
Cybersecurity for IoT and AI Systems
Real-Time Data Processing and Analytics

How to apply?

Step 1 – Application Enquiry

On-call guidance with step-by-step expert instructions to complete the application form.

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

Step 3 – Offer Letter
Offer Letter issued to commence further admission process.

Apply Now

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FAQs

Four years

Written test and interview

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

Yes, it includes areas such as Virtual Reality & Game-Theoretic Simulation, Mobile App Development, Data Mining, Big Data, Artificial Intelligence, Cryptography, Digital Forensics, Human-Computer Interaction, Augmented & Mixed Reality, and Industrial IoT.

Yes. The CST programme offers hands-on, project-based learning with exposure to entrepreneurial and technological skills. It prepares graduates for placements, higher education, or entrepreneurship.

The CST programme teaches skills in:

Software Automation Tools
Deployable Intelligent Applications

Software Developer
Data Scientist
Game Designer
IoT Developer
Network Administrator
System Analyst
Technology Entrepreneur
Business Analyst
MIS Specialist

Facilities include:

Data Structures Lab
Programming with Python Lab
AI & ML Labs
Programming with Java Lab
Database Management Systems Lab
Data Science Lab
Smart classrooms, AV aids, prototyping labs, and conference facilities

Apply online or offline through the CMR University portal. Shortlisted candidates will be contacted for an interview.

Yes, it is highly in demand due to the rise in AI, big data, and digital transformation technologies.

Yes. The university has a dedicated placement cell offering training in interview skills, soft skills, and leadership development from the first year.

Yes. Practical training and internships are integral to the programme structure.

B.Tech.| CST* (with Specialisation in AI & ML/ Internet Of Things) IT. ECE