Master of Technology in Computer Science - Lumbini Technological University

Master of Technology in Computer Science - Lumbini Technological University

Masters
·
2 years

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Fee (Tentative)NPR 250,000

The Master of Technology in Computer Science (MTech in CS) is a two-year postgraduate program that builds strong foundations in computer science and advanced computing techniques. Designed to blend theory with practical skills, the program prepares students for careers in software development, research, system design, and emerging tech fields. Spanning four semesters with a total of 63 credit hours, it helps graduates stay competitive in the evolving world of technology.

Salient Features

Scholarships

Scholarships are awarded to the entrance topper and the semester topper, with each scholarship applicable for one semester only.

Eligibility

Applicants must meet at least one of the following criteria to be eligible for the MTech in CS program:

  • Hold a B.Tech in Computer Science as their major

  • Hold a B.Sc. in Computer Science

  • Hold a Bachelor of Engineering in:

    • Computer Engineering

    • Communication and Electrical Engineering

    • Electronics Engineering

  • Hold an equivalent degree approved by the institution

All candidates must also pass the LTU Entrance Test for enrollment.

Fee Structure:

Fee Categories Amount
2 Years Tuition Fee NPR 230,000
Deposit Fee NPR 20,000

Curricular Structure

Semester Courses
Semester I - Design and Analysis of Algorithm
- Research Methodology
- Application Development using Python and Framework
- Advanced Operating System
- Computational Mathematics
- Seminar in Emerging Trends
Semester II - Optimization Techniques
- Statistics and Probability
- Software Project Management
- Data Warehouse and Data Mining
- Elective I
- Project Development
Semester III - Machine Learning
- Advanced Compiler Design
- Elective II
- Elective III
- Elective IV
Semester IV - Thesis

Elective Options:

Elective Options
Elective I Advanced Computer Architecture / Advanced Database Management System / Human-Computer Interaction
Elective II Distributed and Parallel Systems / Service-Oriented Architecture / Real-Time Embedded Systems
Elective III Natural Language Processing / Data Analytics / Wireless Ad Hoc Networks
Elective IV Digital Forensics / Mobile Application Development / Information Security Audit