Electronics and Communication Engineering
The Master of Technology (Online) programme in Electronics and Communication Engineering is offered by the Division of Electrical, Electronics, and Computer Sciences. The programme is designed for early-career professionals (with 2-10 years of experience) to strengthen their fundamentals and expose them to cutting-edge topics in the fast-changing areas of communications, networks, signal processing and information sciences, and high-frequency circuits and systems. The coursework contains core courses, which provide the necessary foundation, and several elective courses, which provide exposure to the state-of-the-art and advanced material. These learnings are coupled with a semester-long capstone project that enables the student to apply the knowledge gained to a project relevant to the industry. The courses are taught online by faculty from the Department of ECE.
Program Structure [August 2026 batch onward]
Core courses (8 credits):
· Random Processes (3:1)
· Linear Algebra (3:1)
Soft core courses (12 credits):
· Digital Communications (3:1)
· Statistical Inference for Engineers and Data Scientists (3:1)
· Communication system design (3:1)
· Digital Image Processing (3:1)
. Process technology and System Engineering (3:1)
· Antennas and Circuits for Emerging Communication and Radar (3:1)
· Wireless Communications (3:1)
· Machine Learning for wireless communications (3:1)
Remaining Course Credits (16 Credits): To be taken from electives.
- Project (28 credits):
Students can complete 28 project credits in three phases after successfully completing all the core and soft core courses. Each of the above mentioned three phases should be mapped with a Semester.
Students will complete 2 project credits in the 1st phase to identify the topic and submit a written report.
The next 12 credits will be completed in the 2nd phase, which consists of a midterm evaluation.
The remaining 14 project credits will be completed in the 3rd phase, which consists of a final evaluation.
Before starting the 3rd phase project phase, students should have successfully completed all the course credits. The 3rd phase can only be completed in a regular semester (not summer term).
Program Structure [August 2023,2024 & 2025 batches]
Core courses (16 credits):
Typically taken in first two semesters.
• Random Processes (4 credits)
• Digital Communications (4 credits)
• Statistical Inference for Engineers and Data Scientists (4 credits)
• Linear Algebra (4 credits)
Sample Elective courses (at least 20 credits):
• Process technology and System Engineering(4 credits)
• Antennas and Circuits for Emerging Communication and Radar
(4 credits)
• Radio Frequency Integrated Circuits and Systems (4 credits)
• Machine Learning for wireless communication(4 credits)
• Communication Systems Design (4 credits)
Students can take elective courses from any of the 30 offered
across the three stream
Project (28 credits)
• Projects are done in-house with a company guide and an IISc
Program Structure [August 2022 batch]
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Core courses (15 credits): These are typically taken in the first and second semesters.
- Random Processes (3:1)
- Digital Communications (3:1)
- Statistical Inference for Engineers and Data Scientists (3:1)
- Linear Algebra (3:0)
- Elective courses (at least 21 credits): See sample courses above
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Project (28 credits): See instructions for project above
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Program Structure [For 2021 batch]
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Core courses (12 credits): These are typically taken in the first and second semesters. The courses will have a new course code since the credits re different from the regular M.Tech. on account of some revision in syllabus and homework/assignments/online labs.
- Random Processes (3:1)
- Digital Communications (3:1)
- Detection and Estimation (3:1)
- Elective courses (at least 24 credits): See sample courses above
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Project (28 credits): See instructions for project above
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