Thinking to Pursue Master of Technology in Computer Science - Lumbini Technological University but not sure, is this the right match?
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Find Your Best-FitThe 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:
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Hold a B.Tech in Computer Science as their major
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Hold a B.Sc. in Computer Science
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Hold a Bachelor of Engineering in:
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Computer Engineering
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Communication and Electrical Engineering
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Electronics Engineering
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Hold an equivalent degree approved by the institution
All candidates must also pass the LTU Entrance Test for enrollment.
Fee Structure:
Fee Categories | Amount |
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2 Years Tuition Fee | NPR 230,000 |
Deposit Fee | NPR 20,000 |
Curricular Structure
Semester | Courses |
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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 |
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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 |