MSc Computer Engineering (Data Science & Analytics)

Tribhuwan University
2 years
Rs.
Updated December 2, 2025

University

Tribhuwan University

Duration

2 years

Fee

Rs.

Summary

  • Two-year computer-engineering master’s program specializing in data science, analytics, machine learning, and big-data technologies with strong industry collaboration.
  • Focused on advanced analytics, ML, big-data systems, distributed computing, optimization, visualization, and applied research.
  • Built on interdisciplinary strengths: computing, AI, statistics, operations research, and business intelligence.
  • Designed through collaboration between DOECE and major national IT industries.
  • Students work with high-performance computing infrastructure and real analytics cases.
  • Structured to create graduates with strong analytical, technical, and decision-support capabilities.
  • Includes project work and a final thesis to build research and applied-problem-solving competence.

Description

Year-Wise Curriculum Structure

Year I — Part I

S.N.Course TitleCredits
1Foundation of Data Science & Analytics4
2Distributed & Edge Computing4
3Machine Learning & Computational Intelligence4
4Big Data Analytics4
Total—16

Year I — Part II

S.N.Course TitleCredits
1Optimization Theory & Techniques4
2Information Visualization4
3Elective I4
4Elective II4
Total—16

Year II — Part I

S.N.Course TitleCredits
1Elective III4
2Elective IV4
3Project4
Total—12

Year II — Part II

S.N.Course TitleCredits
1Thesis16
Total—16

Features

Features

  • Specialized data-science curriculum inside computer engineering.
  • Strong integration with national tech industries.
  • Access to high-performance computing resources.
  • Core focus on ML, big data, distributed computing, optimization, visualization.
  • Four electives for deeper specialization.
  • Project in Year II for applied learning.
  • Thesis for research strength and publication potential.
  • Industry-guided exposure to analytics use-cases.

Admission Process

Admission Process

  • Bachelor’s in Computer, Electronics/Communication, Software, IT Engineering or equivalent.
  • Mandatory IOE MSc entrance (computer-based, 2 hours).
  • Section A: 45 questions, 50 marks.
  • Section B: 50 questions, 1 mark each.
  • Negative marking: 10% per wrong answer.
  • Merit-based selection as per IOE rules.

Job Prospects

Job Prospects

  • Data scientist in tech firms, banks, telecom, fintech.
  • Machine learning engineer.
  • AI engineer.
  • Data analyst and BI analyst.
  • Big data engineer.
  • Cloud and distributed-systems engineer.
  • Research engineer in analytics/AI.
  • Product analyst/decision-science analyst.
  • Data engineering specialist in national IT industries.
  • Lecturer or academic researcher.