NITK Campus Executive student
M.Tech Without Leaving Your Job

Online M.Tech in
Signal Processing and Artificial Intelligence

Weekend learning + live online sessions
Hands-on labs, capstone & NITK faculty mentorship
Designed for Working Engineers
Start DateJune 2026
Learning Format Online
Duration:2 Years

Program Highlights

A Credential That Carries Weight

Earn a degree from NITK Surathkal, an Institute of National Importance, trusted by employers and universities across India and globally.

Master In-Demand AI Skills

Master Signal Processing and AI—Deep Learning, Computer Vision, Speech AI, Signal Analytics—powering systems in healthcare, automotive, and 5G.

Learn from Expert Faculty & Industry Leaders

Learn directly from senior NITK faculty and experienced engineers from top R&D organizations working on real-world AI and engineering systems.

Build a Job-Ready Portfolio

Complete a real engineering project across two semesters with faculty and industry mentors, graduating with work to showcase to employers.

Designed for Working Engineers

Flexible weekend live classes, guided self-learning, and hands-on labs—earn a prestigious NITK degree while keeping your career on track.

Step Into Tech Leadership

Develop deep technical expertise, real-world project experience, and an NITK credential preparing you for senior engineering and tech leadership roles.

See how we have made an impact

Laurel Left

Awards & Recognitions

Laurel Right
ISO 9002 Certification

ISO 9002 Certification

Ranked 2nd by CSR-GHRDC

Ranked 2nd by CSR-GHRDC under the category 'Colleges of Super Excellence'

IEEE Best Student Chapter

IEEE Best Student Chapter Award - Bangalore Section

Bhartiya Vidya Bhavan National Award

Bhartiya Vidya Bhavan National Award for Best Overall Performance

Top Ranked by NIRF

Top Ranked institutions in India as per NIRF ranking

Awards Background Pattern

View Our Curriculum

m.tech in signal processing and artificial intelligence (spai)

Semester I

12 Credits

What you'll learn:

Credits
  • Linear AlgebraEC601V
    4
  • Probability and StatisticsEC602V
    4
  • Machine LearningEC603V
    4

Semester II

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12 Credits

Semester III

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13 Credits

Semester IV

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13 Credits

Unlock all curriculum,timelines & details

Academic Delivery & Assessments

Synchronous, asynchronous and assessment structure of the program.

Synchronous

  • Semester of 16 weeks (12 weeks of classes + 1 week buffer + 3 weeks of exams)
  • 4 hours synchronous sessions per credit (Eg: 3 credits course = 12 hours of synchronous sessions)
  • Synchronous Sessions mostly on weekends

Asynchronous

  • Recorded Videos
  • Self Learning Material (modular for effective academic delivery)
  • Additional Resources (Pre-read material for every session, post-read material for reinforced learning)

Assessments

—Ungraded

Self Assessments

Self Assessments (ungraded) after every week

40%

Continuous Assessments

  • 3 assessments (MCQs with varied BTL; 30%)
  • Academic Participation (LMS Activity; 10%)
60%

End Semester Examination

Mix of MCQs and Descriptive (Application oriented)

Admission Process of enrolling into the program:

1

Submit Online Application

Fill out the online application form with your academic, professional, and contact details.

2

Your profile is evaluated based on the following eligibility criteria:

B.Tech or B.E. equivalent in EEE, ECE or equivalent allied subject with 60% or CGPA of 6.0 or equivalent (For SC/ST/PwD: 55% or CGPA of 5.5 or equivalent)

Candidates should be employed at the time of admission

Career-break applicants with prior work experience considered on a case-by-case basis (fresh graduates not eligible)

3

Direct Admission

Candidates meeting the above eligibility criteria receive direct admission to the program.

4

Confirm Enrollment

Complete your seat confirmation, document verification & payment to join the cohort

Start Enrollment Process

Fee Structure:

Quality education made accessible to learners everywhere.

₹3,25,000

Total Fees
Pay Semesterly₹81,250
Pay Yearly₹1,62,500
Pay One-Time₹3,25,000
Registration Fee₹2,000

Meet The Faculty

Dr. Kumar G N

Dr. Kumar G N

Registrar (In Charge)

Prof. Annappa

Prof. Annappa

Dean (Academic Programs)

Dr. Udaya Kumar Dalimba

Dr. Udaya Kumar Dalimba

Associate Dean (Post Graduate)

Prof. Sathyabhama A

Prof. Sathyabhama A

Associate Dean (Under Graduate)

NITK Campus

Complete Walkthrough & Team Building Events

Campus Immersion

Experience the NITK campus with optional immersion programs

Frequently Asked Questions

OR

Talk to our admissions counsellor

Working engineers, R&D professionals, tech leads, and PSU/government technical officers looking for a Tier-1 M.Tech in Signal Processing and Artificial Intelligence (SPAI) without a career break.
The program combines core Signal Processing and Artificial Intelligence, including machine learning, deep learning, computer vision, optimization and applied projects, with electives that let you specialise further.
The program is 2 years, organized into 4 semesters, allowing you to balance learning with your professional commitments.
Yes, the program is delivered online including live classes, labs, examinations and project submissions, providing global accessibility.
Yes, participants receive certificates after successful completion of specific milestones, enhancing their profile progressively.
B.Tech or B.E. equivalent in EEE, ECE or equivalent allied subject with 60% or CGPA of 6.0 or equivalent (For SC/ST/PwD: 55% or CGPA of 5.5 or equivalent). Candidates should be employed at the time of admission. In certain cases, applicants with prior work experience who are on a career break may be considered on a case-by-case basis (fresh graduates are not eligible).
Yes, the program includes Project I, II and III spread across semesters II–IV, culminating in a substantial capstone applied to real-world engineering problems.
The total program fee is ₹3,25,000 for domestic candidates and $5,400 for international candidates. Flexible payment options are available — pay yearly (₹1,62,500 / $2,700) or per semester (₹81,250 / $1,350).
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