Adichunchanagiri University · Faculty of Natural Sciences
Master of Science in Computer Science
Postgraduate · M.Sc. · 2 Years
2 Years
4 Semesters
80 Credits
₹50,000 Per Year
CBCS Pattern
Program Overview

The Master of Science in Computer Science at ASNS is a 2-year (4-semester) postgraduate programme structured on the Choice Based Credit System (CBCS). It delivers advanced theoretical foundations in algorithms, machine learning, distributed systems and database design, combined with rigorous research methodology training and a full dissertation project.

Students progress from hard-core computing fundamentals in the early semesters into specialization electives in artificial intelligence, big data, cloud computing and cyber security, culminating in an independent research dissertation undertaken over the final semester. The curriculum is delivered through lectures, laboratory work, seminars, assignments and industry-aligned project work.

Program Snapshot

  • 4-semester full-time programme (80 credits minimum)
  • Hard-core, soft-core, open elective and project components
  • Hands-on computing labs across all four semesters
  • Research methodology, seminars and dissertation project
  • Curriculum reviewed biennially by the Board of Studies
ASNS computer science laboratory
Curriculum Snapshot
Semester 1 — Foundations
Hard Core · Laboratory · Soft Core
  • Advanced Algorithms
  • Advanced Database Management Systems
  • Operating Systems
  • Programming Lab
  • Soft Core Elective
Final curriculum follows ACU Academic Council approval; topics indicative.
Semester 2 — Core Systems & ML
Hard Core · Laboratory · Soft Core
  • Machine Learning
  • Advanced Computer Networks
  • Software Architecture
  • Lab II
  • Soft Core Elective
Final curriculum follows ACU Academic Council approval; topics indicative.
Semester 3 — AI, Big Data & Cloud
Hard Core · Elective · Open Elective
  • Artificial Intelligence
  • Big Data Analytics
  • Cloud Computing
  • Elective
  • Lab III
  • Open Elective
Final curriculum follows ACU Academic Council approval; topics indicative.
Semester 4 — Advanced Topics & Dissertation
Elective · Project · Viva
  • Deep Learning / Cyber Security (Elective)
  • Advanced Topics
  • Dissertation / Project (24 weeks)
  • Viva Voce
Final curriculum follows ACU Academic Council approval; topics indicative.
CBCS & Evaluation
Credit Structure
Minimum 80 credits across 4 semesters. Normal duration 2 years; maximum duration 4 years for completion.
Marks Distribution
Theory: CIE 40 + SEE 60. Practical: CIE 20 + SEE 30. Project evaluation carries 180 marks total.
Grading System
Letter grades O, A, B, C, D, E, F. Pass requires GP ≥ 5, minimum 40% SEE, 50% CIE and 45% aggregate in each course.
Percentage Formula
CGPA-to-percentage conversion: P = (CGPA − 0.5) × 10. Both SGPA and CGPA rounded to two decimal places.
Program Highlights
Computing Lab
Modern networked computing laboratory supporting programming, systems and AI coursework.
Research Projects
Dissertation and mini-projects aligned with ASNS research groups and external R&D partners.
AI/ML Focus
Dedicated courses in machine learning, artificial intelligence, deep learning and big data analytics.
Industry Tools
Exposure to industry-standard toolchains, frameworks and open-source development environments.
Faculty Mentorship
Assigned faculty advisor and dissertation guide for every student across the programme.
Project Dissertation
24-week independent dissertation with double-examiner evaluation, oral presentation and viva voce.
Career Outcomes
PhD Researcher
Data Scientist
ML Engineer
Software Architect
Systems Researcher
Academic Faculty
IT Consultant
NET / GATE Exams
Eligibility & Fees
Eligibility
Any Science degree with Mathematics / Electronics / Computer Science / Information Science / BCA / BE / B.Tech of any branch. Minimum 40% aggregate and 45% in cognate course.
Tuition Fee
₹50,000 per year. Fees once paid are non-refundable; continuation subject to annual programme and registration fee payment.
Application Fee
₹400 one-time application fee payable at the time of submission.
Admission Mode
Admission through Merit & PGCET (Karnataka Postgraduate Common Entrance Test) or equivalent entrance approved by the Government of Karnataka.
Duration
2 Years normal duration · Maximum 4 Years for completion of the programme.
Language & Attendance
Medium of instruction is English. Minimum 75% attendance required in each course to appear for semester-end examinations.

Accelerate Your Computer Science Career

Join ASNS and gain the advanced theoretical foundations, research experience and industry-aligned skills needed to lead in computer science. Applications are open for the upcoming academic year.

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