Lovely Professional University

Lovely Professional University

Jalandhar - Delhi G.T. Road.
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4.2 Ratings
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Private|Estd. 2005|NAAC Grade A++|NIRF #48 (Engineering) 2025

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

FeatureDetails
Duration2 years
Course FeeINR 100,000 per year
EligibilitySee 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

CriteriaDetails
Standard RequirementPass 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 RequirementPass 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.
Relaxation5% relaxation for candidates from North-East states and Sikkim, Defence Personnel and their dependents, or Wards of Kashmiri Migrants.
LPUNEST Exam OptionsOnline 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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