Master of Technology in Information Technology - Lumbini Technological University

Master of Technology in Information Technology - Lumbini Technological University

Masters
·
2 years

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Fee (Tentative)NPR 250,000

Institutions offering M.Tech in IT

Currently, 1 institutions offer Master of Technology in Information Technology - Lumbini Technological University (M.Tech in IT) under Lumbini Technological University in Nepal with 1 of them offering in Banke district.

The Master of Technology in Information Technology (MTech in IT) is a two-year postgraduate program aimed at producing skilled IT professionals capable of addressing real-world challenges through innovation and practical solutions. Spanning four semesters and totaling 63 credit hours, the program offers a balanced blend of theoretical understanding and hands-on learning, preparing graduates to excel in academic, professional, and research-oriented careers.

 

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 IT 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 a Bachelor's degree in:
    • Information Technology
    • Computer Application
    • ICT Education
    • Information Systems
  • Hold a Bachelor's degree in any academic discipline and have successfully completed a postgraduate program in Computer Application or IT.

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

Download:

Entrance Syllabus of M.Tech in IT.pdf

Entrance Model Questions for Mtech in CS and IT. pdf

Fee Structure:

Fee CategoriesAmount
2 Years Tuition FeeNPR 230,000
Deposit FeeNPR 20,000

Curricular Structure

 

SemesterCourses
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
- Mobile Application Development
- Elective II
- Elective III
- Elective IV
Semester IV- Thesis

Elective Options:

ElectiveOptions
Elective ICloud Computing / Knowledge Management / e-Governance
Elective IIWeb Programming / DevOps for Web Development
Elective IIIData Analytics / Human-Computer Interaction / Information Security Audit
Elective IVLinux Administration / Virtualization Techniques and Applications / GIS and Remote Sensing