cmr.edu.in B.Tech. Computer Engg (Specialisation in AIML & IoT) | Programmes at CMR University

B.Tech. Computer Engg (Specialisation in AIML & IoT)

Programme Structure

Not available

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
  • Analogue System Design
  • Digital System Design
  • Network Analysis
  • P2 – Python
  • Common Core
SEMESTER IV
  • Mathematics
  • Principles of Communication
  • Embedded Controller
  • VLSI
  • P3 – Python / C++ / Java
  • Common Core
SEMESTER V
  • Analogue and Digital Signal Processing
  • Embedded System and ARM Processor
  • Control Systems
  • Open Elective
  • Professional Elective I
  • Interdisciplinary Elective I
  • Common Core
SEMESTER VI
  • Computer Communication Networks
  • Advanced Communication
  • Professional Elective II
  • Open Elective II
  • Interdisciplinary Elective II
  • Common Core
SEMESTER VII
  • LTE and 5G Communication
  • Digital Image Processing
  • IoT and Applications
  • Professional Elective III
  • Professional Elective IV
  • Interdisciplinary Elective III
  • Common Core
SEMESTER VIII
  • Project Work
  • Industrial Internship

Professional Electives

Elective I

  • Real-Time Embedded Systems and Linux
  • Sensors and Robotics
  • Automotive Electronics
  • Digital VLSI Design
  • ASIC
  • Nano Electronics
  • Optical Communication
  • Wireless Sensor Networks & IoT
  • Satellite Communication
  • Microwave and Antenna
  • Advanced C++ (P4)
  • Advanced Java (P4)
  • Object-Oriented Analysis & Design
  • Scripting Languages

Elective II

  • RTOS
  • CAN Protocol and Controller
  • Wearable Electronics
  • Low Power VLSI
  • CMOS Analogue Design
  • System on Chip (SoC)
  • Spread Spectrum Communication
  • RADAR
  • Mobile Communication
  • C# and .NET
  • J2EE Technologies
  • Unix Programming
  • Mobile App Development

Electives III & IV

  • Biomedical Electronics
  • Virtual Instrumentation
  • Advanced Control Systems
  • CMOS RF Design
  • Mixed Signal Design
  • VLSI Testing
  • Multimedia Communication
  • MIMO Communication
  • Vehicular Communication
  • Full Stack (P5)
  • JavaScript
  • Web App Development
  • Network Programming

Open Elective I

  • Measuring Instruments
  • Introduction to Digital Image Processing
  • Basics of Digital Communication

Open Elective II

  • Cellular Communication
  • Basics of Satellite Communication
  • Basics of Embedded Systems

Programme Assessment

  • Choice-Based Credit System (CBCS): Students can choose courses and earn credits based on performance.
  • Grades and GPA: SGPA is calculated each semester; CGPA reflects cumulative academic performance.
  • Prescribed Curriculum: Includes required courses, labs, and degree requirements; integrates MOOCs (SWAYAM, etc.).
  • Auditing Courses: Option to audit non-graded courses for additional exposure and placement advantage.
  • Evaluation System: Continuous Internal Evaluation (CIE) and Semester End Examination (SEE), each with 50% weightage.
  • Assessment Methods: Includes assignments, quizzes, seminars, group work, practicals, presentations, case studies, etc.
  • Semester End Examination: Conducted for all registered courses unless entirely assessed via CIE.
  • Makeup Examinations: Available for students who fail SEE in one or more courses.

Programme Outcome

  • Engineering Knowledge: Apply knowledge of Mathematics, Science, and Engineering to solve complex problems.
  • Design/Development of Solutions: Create appropriate solutions with consideration of health, safety, and sustainability.
  • Research & Investigation: Use analytical and experimental methods to draw valid conclusions.
  • Modern Tools: Use engineering tools and technology for simulation, prediction, and modelling.
  • Engineer & Society: Recognise societal and ethical responsibilities in professional practice.
  • Environment & Sustainability: Understand the environmental impact of engineering solutions.
  • Ethics: Adhere to ethical standards and professional responsibilities.
  • Teamwork: Function effectively in teams and multidisciplinary settings.
  • Communication: Convey technical information clearly through reports, presentations, and discussions.
  • Project Management & Finance: Apply engineering and management skills in project settings.
  • Lifelong Learning: Embrace lifelong learning in a rapidly evolving  technological world.

Career Opportunities

  • 01
    Software Developer
  • 02
    Database Administrator
  • 03
    Web Developer
  • 04
    Computer Programmer
  • 05
    Network Administrator
  • 06
    System Analyst

FAQs

4 years

Written test and interview

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

Yes, it covers a wide range including Algorithms, DBMS, Mobile Apps, AI, Big Data, Cryptography, Cloud Computing, and more.

Yes, with hands-on learning and industry alignment, graduates are well-prepared for careers or further education.

  • Algorithms & Programming
  • Software Engineering
  • Database Technologies

Software Developer, Database Administrator, Network Administrator, System Analyst, etc.

Fully equipped labs for Data Structures, Python, Java, AI/ML, DBMS, Data Science, and audio-visual classrooms.

Download and submit the form online or offline. Shortlisted candidates will be invited for an interview.

Yes. With growth in automation and AI, the demand for computing specialists is rapidly increasing.

Yes. CMR University has a dedicated placement cell and modules for soft skill and leadership development.

Yes, practical training and internships are integral to the curriculum.

ACCP AY(2025-26)