

M.Tech. CSE (Research) [1+1 with international credit transfer option]
The M.Tech. (Computer Science and Engineering) (by Research) program at Lovely Professional University is a specialized course designed for students aiming to delve deeper into the field of computer science with a focus on research and innovation. The program, spanning two years, provides a unique international credit transfer option, allowing students to experience global exposure by completing part of their studies at an international university.
The curriculum emphasizes cutting-edge technologies, advanced algorithms, and innovative applications, preparing students for roles in academia, research, and high-end industry positions. This program is ideal for those passionate about exploring emerging areas such as artificial intelligence, machine learning, data science, and cybersecurity.
M.Tech. (CSE) Course Details
| Feature | Details |
|---|---|
| Duration | 2 years |
| Course Fee | INR 100,000 per year |
| Eligibility | See detailed eligibility criteria below |
| Program Highlights | - Research-focused curriculum- International credit transfer option- Advanced exposure to technologies- Opportunities for global collaboration |
Eligibility for M.Tech. (CSE) Program at LPU
| Criteria | Details |
|---|---|
| Standard Requirement | Pass with 55% aggregate marks in B.Tech. (Computer Science and Engineering/IT/ECE/EEE) or MCA/M.Sc. (IT/CS) or equivalent, subject to qualifying LPUNEST or GATE. |
| Alternate Requirement | Pass with 80% aggregate marks in B.Tech. (Computer Science and Engineering/IT/ECE/EEE) or MCA/M.Sc. (IT/CS) or equivalent, subject to qualifying exam. |
| Relaxation | 5% relaxation for candidates from North-East states and Sikkim, Defence Personnel and their dependents, or Wards of Kashmiri Migrants. |
| LPUNEST Exam Options | Online remotely proctored exam (recommended) or test centre-based options. |
M.Tech. (CSE) Outline
This program covers a broad range of subjects designed to provide both theoretical knowledge and practical skills. The key areas of study include:
- Advanced Algorithms and Data Structures: In-depth study of complex algorithms and their applications.
- Machine Learning and Artificial Intelligence: Core concepts and practical applications in AI.
- Cybersecurity: Techniques for securing systems and networks.
- Cloud Computing and IoT: Understanding scalable systems and internet-connected devices.
- Research Methodologies: Training in conducting rigorous academic research.
- Dissertation and Research Projects: Hands-on experience in designing, developing, and presenting research-based projects.
The international credit transfer option provides students the opportunity to collaborate with global experts and gain exposure to international academic standards.
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