
Online M.Tech in
Signal Processing &
Artificial Intelligence
A 2-year online M.Tech degree from NITK Surathkal — an Institute of National Importance — built for working engineers. Live weekend classes, zero career break.
- M.Tech Degree from NITK Surathkal
- Live Weekend Classes by NITK Faculty
- Industry Experts from Leading R&D Organizations
- 3 Mentored Projects for a Job-Ready Portfolio
- Interim Certificates at Key Milestones
- Optional Campus Immersion at NITK
Duration
2 Years
Mode
Online
Total Fees
₹3,25,000
Starts on
Sep 1, 2026
Skills you will master

About NIT Surathkal
Established in 1960, the National Institute of Technology Karnataka (NITK) at Surathkal is an Institute of National Importance and one of India's most elite engineering institutions, ranked #12 in NIRF Engineering (2024).
Set on a picturesque beachside campus along the Arabian Sea, NITK is renowned for its research excellence and world-class faculty. Its online programs bring the same rigor to working professionals — with live classes, labs, exams, and projects delivered fully online.
Program Curriculum
4 semesters of 16 weeks each — 12 instructional weeks plus buffer and exams, with live sessions mostly on weekends.
Build the mathematical and machine-learning foundations that every signal processing and AI system rests on.
Who should join
this program?
Designed for professionals who are currently employed — so you can earn a prestigious M.Tech degree without pausing your career.
Working Engineers
Engineers in electronics, communication, or software roles who want to move into AI-driven signal processing work.
R&D Professionals
Researchers in labs and product R&D teams building next-generation intelligent systems.
Tech Leads
Technical leaders who need formal depth in deep learning, computer vision, and speech AI to guide their teams.
Govt. / PSU Technical Officers
Technical officers in government and public-sector organizations preparing for senior engineering roles.
Learn from NITK Surathkal Faculty
Senior professors from NITK's Electronics & Communication Engineering department, joined by industry professionals from leading R&D organizations.

Dr. Amareshwar Kavuri
Assistant Professor
Medical Image Processing and Analysis

Dr. Aparna P
Associate Professor
Signal Compression, Multimedia Processing, Architectures for Signal Processing

Dr. Bini A
Faculty
Signal Processing, Image Processing, Computer Vision

Dr. Deepu Vijayasenan
Professor
Speech Signal Processing, Medical Image Processing

Dr. A V Narasimhadhan
Associate Professor
Medical Imaging, Digital Signal Processing, Computer Vision

Dr. Raghavendra Bobbi
Associate Professor
Signal & Image Processing, Time Series Analysis, Machine Learning, Pattern Recognition, Biomedical Signal Processing

Dr. Shyam Lal
Associate Professor
Machine Learning, Medical & Satellite Image Processing

Prof. Sumam David
Professor
Multimedia Signal Processing, Signal Compression, Biomedical Signal Processing, VLSI Architectures
Eligibility Criteria
- B.Tech / B.E. in Electrical Engineering, Electronics & Communication, or allied fields.
- Minimum 60% marks or 6.0 CGPA (55% / 5.5 CGPA for SC/ST/PwD candidates).
- Must be currently employed at the time of admission.
- Applicants on a career break with prior work experience are considered case-by-case.
- Fresh graduates without work experience are not eligible.
Process of enrollment
Submit the online application
Share your academic, professional, and contact information.
Profile evaluation
Your profile is evaluated against the program's eligibility criteria.
Direct admission offer
Qualifying candidates receive direct admission — no entrance exam.
Confirm your enrollment
Seat confirmation, document verification, and fee payment.
Total Program Fee
₹3,25,000
+ ₹2,000 one-time registration fee · $5,400 for international candidates