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Postgraduate Program • 2025-26

M.Phil CS

Master of Philosophy in Computer Science

The Master of Philosophy in Computer Science (M.Phil CS) program at KSG College of Arts and Science is a specialized postgraduate program combining advanced theoretical knowledge with practical research exposure and industry-relevant skills.

  • Duration

    2 Years

  • Affiliation

    Bharathiar University

  • Intake

    30 Seats Available

About the Program

The Master of Philosophy in Computer Science (M.Phil CS) program at KSG College of Arts and Science is a specialized postgraduate program combining advanced theoretical knowledge with practical research exposure and industry-relevant skills.

Through guided research, seminars, laboratory work, and dissertation projects, students develop the expertise needed for leadership roles in academia, industry, and government sectors.

Advanced Scope & Outlook

Develop specialized expertise and research capabilities in M.Phil CS.

Advanced Knowledge & Research

Build in-depth knowledge and analytical skills in M.Phil CS through rigorous coursework, research methodologies, and hands-on practical experience.

Advanced Theory

Master specialized core subjects with deep theoretical foundations.

Research Skills

Develop research methodology, data analysis, and academic writing competencies.

Practical Training

Gain hands-on experience through labs, projects, and real-world case studies.

Industry Exposure

Connect with industry professionals through seminars, workshops, and internship opportunities.

Eligibility Criteria

  • Relevant undergraduate degree from a recognized university.

  • Aggregate percentage matching Bharathiar University selection norms.

  • Background in relevant stream/subjects preferred.

Course Structure

Total Duration
2 Years (Full-Time)
Intake Capacity
30 Seats Available
Bharathiar University • CBCS 2025-26

Subjects & Lab Practicals

Semester-wise curriculum under the Choice Based Credit System (CBCS) as prescribed by Bharathiar University for 2025-26.

4

Theory Papers

0

Lab / Practicals

1

Elective Papers

60

Total Credits

Research Methodology and IPR

Core5 Credits

Advanced Data Structures and Algorithms

Core5 Credits

Advanced Computer Networks

Core5 Credits

Machine Learning and Data Science

Elective4 Credits

Review of Literature and Research Analysis

Core5 Credits

Dissertation Work

Project / Dissertation16 Credits

Viva Voce

Project / Dissertation4 Credits
Your Future

Career Paths

M.Phil CS graduates are highly sought after across multiple professional settings globally.

Higher Research (Ph.D.)
University Lecturer
Industry Professional
Government Sector
Consultancy

Advance Your Career with M.Phil CS

Elevate your expertise with advanced specialization. Limited seats available for the upcoming session.