National Institute of Technology Karnataka, Surathkal

M.Tech in Signal Processing & AI

M.Tech without leaving your job. Work-integrated and online, with live sessions, labs and NITK faculty mentorship.

  • 2-year online M.Tech degree from NITK Surathkal
  • Live online sessions, scheduled mainly on weekends
  • Virtual labs and digital-twin simulations
  • Hands-on labs, a two-semester major project and faculty mentorship
  • Interim NSDC co-branded certificates after Semesters 1 and 2
2 years
4 semesters · 50 credits
Online
Live sessions, recorded content, proctored exams
31 Oct 2026
Batch 2026 starts · admissions open
The NIT Surathkal campus

Curriculum

Four semesters, one major project.

Each semester runs 18 weeks, mainly on weekends. Faculty-led, 4 hours per credit.

  1. Semester I 12 credits

    Foundations

    Linear Algebra, Probability and Statistics, and Machine Learning, 4 credits each. The mathematical and machine-learning grounding every signal processing and AI system rests on.

  2. Semester II 12 credits

    Core courses

    Signal Processing, Computer Vision and Optimization, 4 credits each. Filters and transforms, image analysis and camera geometry, convex and stochastic optimisation.

  3. Semester III 13 credits

    Major Project I and two electives

    Major Project I, 5 credits: define the problem, review the literature and build the foundation of your dissertation under faculty supervision. Two electives, 4 credits each.

  4. Semester IV 13 credits

    Major Project II and two electives

    Major Project II, 5 credits: publish findings, develop prototypes or solve complex system-level problems under expert supervision. Two electives, 4 credits each.

Download the detailed syllabus →

Who it is for

For professionals who are currently employed.

  • Engineering and core technology

    DSP, embedded systems, electronics and semiconductor professionals. Telecom, wireless, RF and 5G engineers.

  • Vision, robotics and automation

    Computer vision, imaging, robotics and automation engineers building intelligent products.

  • AI, data and software

    AI, data and analytics professionals seeking stronger engineering depth, and those working with sensor and system-level data.

  • Government, PSU and R&D

    PSU and government technical officers, defence and aerospace engineers, R&D professionals and technical leads.

Graduates move into specialist roles across AI, DSP, telecom, automotive, healthcare, defence and R&D, at an indicative ₹16 to 35 LPA depending on role, experience and location.

Indicative figures from public salary sources, 2025 to 26.

Faculty

Learn from NITK Surathkal faculty.

Professors from NITK's Electronics and Communication Engineering department, with direct access for guidance on projects, career paths and leadership development.

  • Dr. Amareshwar Kavuri Assistant Professor Dr. Amareshwar Kavuri Medical image processing and analysis
  • Dr. Aparna P Associate Professor Dr. Aparna P Signal compression, multimedia processing
  • Dr. Bini A Assistant Professor Dr. Bini A Signal and image processing, computer vision
  • Dr. Deepu Vijayasenan Professor Dr. Deepu Vijayasenan Speech and medical image processing
  • Dr. A V Narasimhadhan Associate Professor Dr. A V Narasimhadhan Medical imaging, DSP, computer vision
  • Dr. Raghavendra Bobbi Associate Professor Dr. Raghavendra Bobbi Signal and image processing, time series, ML

Eligibility criteria

Who can apply

  • B.E. or B.Tech in EEE, ECE, Instrumentation, CS, IT, Data Science or an allied subject.
  • At least 60% marks or CGPA 6.5. SC, ST and PwD applicants: minimum 55% marks or CGPA 6.0.
  • Must be currently employed at the time of admission.
  • A ₹2,000 one-time registration fee, non-refundable, begins your profile review.
  • Fresh graduates without work experience are not eligible.

Process of enrolment

Four steps to enrolment

  1. Submit the online application Share your academic, professional and contact details.
  2. Profile evaluation Pay the ₹2,000 registration fee to begin your profile review and admission process.
  3. Admission offer Qualifying candidates receive an offer with the complete curriculum, fee structure, learning format and credential pathway.
  4. Confirm your enrolment Seat confirmation, document verification and fee payment, or set up EMI from ₹12,500 a month.

What you get

A degree, and two days on campus.

  • Degree

    A full M.Tech from NIT Surathkal

    Two interim certificates from NITK along the way, co-branded with NSDC: Foundational Skills for IT after Semester 1, Advanced Professional Certificate after Semester 2.

  • Campus immersion, optional

    Two days on the NITK campus

    A campus walkthrough and team-building with your cohort and the faculty who teach you.

FAQs

Questions, answered.

Who is this online M.Tech best suited for?

Working professionals in engineering, AI, data, software, government, PSU and R&D roles who want to apply AI to real systems without leaving their job.

What does the program cover?

Four semesters and 50 credits: foundations in linear algebra, probability and machine learning, core courses in signal processing, computer vision and optimisation, then two semesters of electives alongside a major project.

Is this program 100% online?

Live sessions, recorded content and virtual labs are online. Semester exams are proctored, and a two-day campus immersion at NITK is optional.

Are there any interim certificates?

Yes. NITK awards two interim certificates co-branded with NSDC: Foundational Skills for IT after Semester 1 and an Advanced Professional Certificate after Semester 2.

M.Tech without leaving your job.