M.TechComputer Science & EngineeringFor Working Professionals
- Duration
- 2 Years
- Mode
- Weekend / Blended
- Entry
- Direct entry (B.Tech / M.Sc / MCA)
- Awarded by
- HRIT University
For engineers ready to specialise
Built for working B.Tech / M.Sc / MCA graduates who want a postgraduate specialisation without stepping away from their role — the schedule, the electives and the dissertation all assume you're already on the job.
Working developers
Engineers who want the master's credential to back the systems they already build.
AI / ML practitioners
Professionals moving deeper into machine learning, deep learning and AI systems.
Data professionals
Analysts and engineers advancing into data science, big data and analytics roles.
Aspiring academics
Graduates heading towards teaching, research and dissertation-led work.
A master's that counts
An M.Tech from HRIT University — the postgraduate credential for senior technical roles.
Keep earning
Stay in your role and apply each module at work. No break, no lost income.
Dissertation-led
A dissertation across semesters 3 & 4, grounded in your own technical domain.
Three specialisations
Computer Science & Engineering, AI & ML or Data Science, with deep departmental electives.
Choose your specialisation
Three postgraduate specialisations with research methodology, departmental electives and a dissertation across the final semesters.
Computer Science & Engineering
Foundation of computer science, advanced algorithms, computer vision and data warehousing & data mining, with departmental electives.
Artificial Intelligence & ML
Advanced data structures (Python), statistical foundations, artificial neural networks, AI tools for systems engineering and deep learning.
Data Science
Big data engineering & analytics, machine learning, cyber security foundations, data visualisation and analytics for social media.
Study without leaving your job
The whole format is engineered around a full-time job. You attend when you're free, catch up when you're not, and never have to choose between your degree and your paycheck.
Weekend & evening classes
Live sessions scheduled around the working week, so weekdays stay yours.
Blended learning
Online theory through the week, focused on-campus and lab sessions when it matters.
Recorded & self-paced
Miss a live class? Catch the recording and learn at your own pace.
Mentor support
Faculty mentors and a peer cohort of fellow professionals keep you on track.
Your degree is the entry point
Admission is by direct entry for B.E. / B.Tech / M.Sc (relevant field) or MCA holders — you choose the specialisation that matches your background.
You hold
B.E. / B.Tech (relevant field)
Engineering graduates progress directly into the programme.
You hold
M.Sc (relevant field)
Postgraduate science graduates in a relevant field.
You hold
MCA
Master of Computer Applications graduates.
Minimum marks
60% · 50% for SC / ST / PwD
Work experience
Min. 1 year relevant technical experience
Employment
Currently employed (industry / MSME / company / govt)
From enquiry to enrolment
- 1
Apply
Submit the online form with your qualification details.
- 2
Eligibility & credit mapping
We map your qualifications and work experience to the right entry point.
- 3
Counselling
A counsellor walks you through the schedule, fees and mode of study.
- 4
Enroll & begin
Confirm your seat and start with the next weekend cohort.
Turn the master's into the next role
An M.Tech is the postgraduate credential that unlocks senior, specialist and R&D roles. Here's where graduates of the programme typically head next.
100%
Placement assistance
500+
Recruiting partners
15,000+
Alumni network
Already employed? The M.Tech is most powerful as a step up — moving you from writing features into designing systems, research and leading teams.
Roles you can grow into
- Senior Software Engineer
- AI / Machine Learning Engineer
- Data Scientist
- Computer Vision Engineer
- Research & Development Engineer
- Software / Solutions Architect
- Big Data Engineer
- Academic / Research Associate
Frequently asked questions
Three: Computer Science & Engineering, Artificial Intelligence & Machine Learning, and Data Science. Each carries departmental electives, with a dissertation in semesters 3 and 4.
