At JKLU, innovation and technology come together to help create new models of a more sustainable future.
The M.Tech in Computer Science and Engineering (CSE) at JK Lakshmipat University is designed to offer a deep and focused understanding of advanced computing concepts, tools, and technologies. The curriculum covers core areas such as advanced data structures and algorithms, operating systems, software engineering, database systems, and high-performance computing.
Students also engage with contemporary topics like artificial intelligence, machine learning, big data analytics, computer vision, cybersecurity, blockchain, cloud computing, IoT, and DevOps. Emphasis is placed on research, project-based learning, and hands-on labs, ensuring students build strong problem-solving and implementation skills aligned with real-world demands. Students who complete 42 credits of coursework and a summer internship (4 credits) at the end of the first year have the option to exit with a Postgraduate Diploma in Computer Science and Engineering, as per the National Education Policy (NEP) guidelines.
| Course Title | Credits |
|---|---|
| Mathematical Foundation of Computer Science-I | 4 |
| Data Structures and Algorithms for Problem Solving | 4 |
| Critical Thinking for Problem Solving and Decisions | 2 |
| Data Visualization and Analysis | 4 |
| Discipline Specific Elective - I | 4 |
| Open Elective - I | 3 |
| Total | 21 |
| Course Title | Credits |
|---|---|
| Mathematical Foundation of Computer Science - II | 4 |
| Advanced Algorithms | 4 |
| Research Methodology | 2 |
| Discipline Specific Elective-II/Project | 4 |
| Discipline Specific Elective-III | 4 |
| Open Elective – II | 3 |
| Total | 21 |
| Course Title | Credits |
|---|---|
| Discipline Specific Elective – IV | 4 |
| Dissertation | 12 |
| Total | 16 |
| Course Title | Credits |
|---|---|
| Industrial Project-I / Entrepreneurial Project-I | 8 |
| Industrial Project-II / Entrepreneurial Project-II | 8 |
| Total | 16 |
The programme structure includes a combination of core courses, advanced disciplinary electives, and open electives, some of which may be offered through curated MOOCs/NPTEL platforms to allow flexible and personalised learning pathways.
The M.Tech in Computer Science and Engineering at JK Lakshmipat University prepares students for high-impact roles across the technology and research landscape. With expertise in areas like AI, machine learning, data science, cloud computing, cybersecurity, and blockchain, graduates are well-suited for roles such as machine learning engineer, data scientist, cloud architect, cybersecurity analyst, DevOps engineer, and software developer in R&D settings.

The programme also builds a strong foundation for those pursuing doctoral studies or careers in academic and industrial research. With a balance of deep technical knowledge, practical experience, and exposure to emerging technologies, students are equipped to lead innovation and solve complex challenges across industries including IT, finance, healthcare, and digital services.
Our admissions team is ready to assist you at every step of the application process and answer any questions you may have.
Connect with our admissions team to get your questions answered and explore what JKLU has to offer.