M.Tech in Computer Science Engineering
For Working Professionals only (In Flexible time-shifts)
A Working Professional M.Tech in Computer Science Engineering is an advanced postgraduate programme designed for employed IT professionals and engineers seeking to enhance their technical expertise while continuing their careers. The programme covers advanced topics such as artificial intelligence, machine learning, cloud computing, cybersecurity, data science, software engineering, distributed systems, and advanced algorithms. Flexible weekend or evening classes enable professionals to balance work and higher education effectively. Through industry-oriented projects, research, and practical applications, students strengthen their technical, analytical, and leadership skills. Graduates are prepared for senior roles such as Software Architect, AI Engineer, Data Scientist, Cloud Solutions Architect, Technical Lead, and IT Consultant across leading technology organisations.
- What is M.Tech in Computer Science engineering?
- What is the qualification for M.Tech in CS Engineering?
- What career opportunities after CS Engineering?
- What is the scope of M.Tech in CS Engineering?
- Which job is best for a Computer Science engineer?
M.Tech for working professionals
Degree
Specialisation
Duration
Eligibility
Semester Fee
M.Tech
M.Tech in Computer Science Engineering
2 years
1. B.Tech./B.E. in Computer Science Engineering or equivalent.
2. Minimum 55% marks in graduation (relaxation as per norms).
42,500/-
Program Overview
Our M.Tech in Computer Science Engineering programme is designed for working professionals who want to advance their technical expertise and accelerate their careers in the IT industry. The curriculum covers artificial intelligence, machine learning, cloud computing, cybersecurity, data science, software engineering, and distributed systems. Through flexible learning, industry-oriented projects, research, and practical applications, students develop advanced technical, analytical, and leadership skills, preparing them for senior roles in software development, technology management, research, and emerging digital technologies.
Feature
Details
M.Tech
M.Tech in Computer Science Engineering
Post Graduation
2 years/Divided into 4 Semesters
1. B.Tech./B.E. in Computer Science Engineering or equivalent.
2. Minimum 55% marks in graduation (relaxation as per norms).
Curriculum
The curriculum includes Artificial Intelligence, Machine Learning, Advanced Algorithms, Cloud Computing, Cybersecurity, Data Science, Distributed Systems, Software Engineering, Research Methodology, Dissertation, and Project Work.
₹42,500 Per Semester
Ideal for B.Tech./B.E. in Computer Science Engineering or equivalent students
Career Opportunity
Graduates can work as Software Architects, AI Engineers, Data Scientists, Cloud Architects, Cybersecurity Specialists, Technical Leads, DevOps Engineers, and IT Consultants.
Flexible Timings
Our M.Tech in Computer Science Engineering is designed for working professionals with flexible weekday evening and weekend classes. The programme allows you to balance your career, personal commitments, and higher education without interrupting your work. Through experienced faculty, industry-focused projects, advanced research, and hands-on learning, you can strengthen your expertise in emerging technologies while developing the technical and leadership skills needed to excel in senior IT and engineering roles.
Job Roles
Average Annual Salary
Software Architect
₹15 LPA – ₹35 LPA
AI Engineer
₹10 LPA – ₹25 LPA
Data Scientist
₹10 LPA – ₹22 LPA
Cloud Solutions Architect
₹15 LPA – ₹35 LPA
Cybersecurity Specialist
₹8 LPA – ₹20 LPA
DevOps Engineer
₹8 LPA – ₹20 LPA
Machine Learning Engineer
₹10 LPA – ₹25 LPA
Fee Structure
- Registration One Time - Rs 2,500/-
- Course Fees (Per Semester) - Rs 42,500/-
- Guaranteed scholarship for every student.
- Scholarship upto 100% (T&C Apply)
Frequently Asked Questions
Ans: The programme typically takes 2 years to complete and is designed for working professionals with flexible weekday evening or weekend classes.
Ans: Candidates with a B.E./B.Tech in Computer Science Engineering, Information Technology, or a related engineering discipline from a recognised university are generally eligible. Some institutions may also require relevant work experience.
Ans: The curriculum includes Artificial Intelligence, Machine Learning, Advanced Algorithms, Cloud Computing, Cybersecurity, Data Science, Distributed Systems, Software Engineering, Research Methodology, Dissertation, and Project Work.
Ans: Graduates can advance into roles such as Software Architect, AI Engineer, Data Scientist, Cloud Solutions Architect, Cybersecurity Specialist, Technical Lead, DevOps Engineer, Engineering Manager, and IT Consultant.
Ans: Yes. This programme is specifically designed for working professionals, offering flexible evening and weekend classes so you can continue your job while upgrading your technical expertise and earning a recognised postgraduate degree.