MSc Physics

Master of Science

Physics with Certification from IBM in AI and ML with specialisation in Astronomy & Astrophysics / Materials Science / Microelectronics

Overview

The MSc in Physics at JAIN (Deemed-to-be University), Bangalore, is a two-year postgraduate programme designed to strengthen conceptual understanding while building advanced analytical, computational, and experimental skills. The curriculum integrates core physics subjects with research methodology, laboratory practice, and computational modelling. Aligned with National Education Policy 2020 and UGC CCFPP, the programme ensures outcome-based education and prepares students for research, industry, and doctoral studies.

Students can specialise in Astronomy & Astrophysics, Materials Science, or Microelectronics, aligning their studies with emerging scientific and technological frontiers. The curriculum combines theoretical depth with hands-on laboratory training, computational simulations, and a full-semester research dissertation. Mandatory internships and project work provide real-world exposure, while guest lectures and workshops offer insights from leading national research organisations, fostering problem-solving, technical competence, and interdisciplinary thinking.

The programme also includes an industry-integrated AI & ML certification in collaboration with IBM, equipping students with skills in data analytics, machine learning, and computational modelling applied to physics problems. This integration of domain knowledge and computational tools enables graduates to analyse experimental and simulation data, model complex physical systems, and pursue advanced roles in research labs, high-end technology industries, or doctoral programmes both in India and abroad.

Certifications Offered:

Industry-integrated AI & ML Certification offered in collaboration with IBM

Eligibility

A student who has passed a 3-year undergraduate degree (level 5.5, a total of 120 credits) shall be eligible for admission to 2-year MSc programmes.

Preference will be given to candidates who have secured at least 50% marks (45% marks in case of candidates belonging to reserved category) in the qualifying examination.

However, students who have not studied requisite courses from Science discipline related to the respective programmes will have to undertake the prescribed bridge course(s).

Duration: 2 Years - 4 Semesters

No. of Credits: 88 Credits (As per UGC CCFPP Guidelines and NCrF framework)

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Program code: 044

Course code : 4404

Course Commencement : Jul 2026

enquiry.pg@jainuniversity.ac.in

Study Campus

School of Sciences
#34, 1st Cross,
J C Road
Bangalore - 560 027
P: +91 80 4343 0100

Admissions Office

JAIN Knowledge Campus
#44/4, District Fund Road
Jayanagar 9th Block Campus
Bangalore - 560 069
P : +91 73376 13222

Curriculum Structure

Quantum Theory & Applications
Mathematical Physics
Classical & Nonlinear Dynamics
Fluid Dynamics & Continuum Mechanics
Specialisation I (Any One):
- Astronomy & Astrophysics I
- Material Science I
Open Elective
Research Methodology & Scientific Writing
Research Computing & Data Analytics
Transdisciplinary Project-Centric Learning I

Advanced Statistical Physics
Electromagnetic Field Theory
Advanced Solid State Physics
Laser Physics & Photonic Applications
Quantum Computation & Information Science
Specialisation II (Any One):
- Astronomy & Astrophysics II
- Microelectronics II
- Material Science II
Project / Dissertation
Open Elective

Particle Physics & Standard Model
Advanced Spectroscopy & Experimental Physics
Theoretical & Computational Modelling in Physics
Specialisation III (Any One):
- Astronomy & Astrophysics III
- Microelectronics III
- Material Science III
Specialisation Laboratory III (As Applicable):
- Astronomy & Astrophysics SPL Lab III
- Microelectronics SPL Lab III
- Material Science SPL Lab III
Internship
Project / Dissertation
Transdisciplinary Project-Centric Learning III

Frontiers of Contemporary Research in Physical Sciences
Specialisation IV (Any One):
- Astronomy & Astrophysics IV
- Microelectronics IV
- Material Science IV
Specialisation Laboratory IV (As Applicable):
- Astronomy & Astrophysics SPL Lab IV
- Microelectronics SPL Lab IV
- Material Science SPL Lab IV
Project / Dissertation
Transdisciplinary Project-Centric Learning IV

Course Highlights

Structured M.Sc. Programme: Two-year, 88-credit curriculum with balanced theoretical and practical learning.
Research-Driven Specialisations: Options in Astronomy & Astrophysics, Materials Science, and Microelectronics.
Advanced Core Training: Covers quantum mechanics, electromagnetism, solid state physics, and particle physics.
Laboratory and Computational Facilities: Dedicated labs and simulation tools for experimental and computational physics.
Industry-Integrated AI & ML Certification: Practical exposure to scientific data analytics and modelling.
Mandatory Dissertation and Internship: Full-semester research project with opportunities at national labs and research centres.
Computational and Simulation Training: Python, MATLAB, and modelling tools for data-driven research.
Research and Career Preparation: Guest lectures, workshops, and exposure to observatories and industrial labs for PhD readiness and technical careers.

Career Enhancement Programs

JAIN (Deemed-to-be University) supports students with initiatives to strengthen research skills, computational expertise, and industry readiness, ensuring strong career and academic outcomes.

Research Accelerator Programme (PG Level): Structured support for research skill development.
Scientific Writing & Publication Workshops: Training in manuscripts, posters, and presentation skills.
Python, MATLAB, and Simulation Tools Training: Hands-on computational and modelling skills.
Observatory and Industrial Lab Visits: Exposure to practical applications in astronomy, materials, and microelectronics.
Guest Lectures by National Scientists: Insights from IISc, ISRO, DRDO, IIA, and CSIR laboratories.
Competitive Exam Preparation: Support for GATE, JEST, CSIR-NET, and other national-level examinations.
Conference and Poster Presentation Opportunities: Platforms to showcase research at national events.

Career Outcomes

Research Associate / Junior Scientist
Develop research methodology, laboratory and computational skills for positions in national laboratories, observatories, and R&D centres.
Observatory & Telescope Assistant
Gain expertise in astronomical instrumentation, data acquisition, and analysis for careers in astronomy and astrophysics facilities.
Semiconductor & Microelectronics Engineer
Apply knowledge of materials science and electronics for design, fabrication, and quality roles in high-tech industries.
AI–ML Analyst for Scientific Applications
Combine physics domain expertise with AI and ML skills to analyse experimental and simulation datasets in research or industrial settings.
Materials Scientist / Nanotechnology Associate
Conduct research in condensed matter, nanomaterials, and functional materials for R&D and industrial applications.
Project Associate in National Labs
Engage in multidisciplinary projects, supporting research initiatives at organisations such as DRDO, ISRO, and CSIR labs.
Computational Physicist / Technical Specialist
Develop simulation models, scientific computing applications, and data-driven solutions for academia and industry.
Higher Studies and Doctoral Research
Pursue PhD or integrated PhD programmes in Physics, Astrophysics, Materials Science, Electronics, Quantum Technologies, or Scientific Computing at premier Indian and international institutions.

FAQ's

What is the eligibility for this programme?

Applicants must hold a Bachelor’s degree at NHEQF Level 6 in Physics or a related discipline.

Are specialisations mandatory?

Yes. Students are required to choose one of the three available specialisations offered within the programme.

When is the specialisation selected?

The specialisation is selected during Semester 1 after academic counselling.

Does the programme include a dissertation?

Yes. Semester 4 is fully dedicated to a 12 credit dissertation that allows students to conduct independent research.

Can dissertation work be conducted outside the university?

Yes. Students may undertake their dissertation in recognised external research laboratories or institutions with prior departmental approval and under the guidance of an approved supervisor.

Are internships compulsory?

Yes. Students must complete a minimum two credit internship or field experience to gain practical exposure.

Does the programme prepare students for PhD studies?

Yes. The curriculum, seminars, research training, and dissertation work provide a strong foundation for doctoral studies and research careers.

Are laboratory or practical components included in the programme?

Yes. Most courses include laboratory sessions, computational work, or practical training to strengthen analytical and experimental skills.

Does the Artificial Intelligence and Machine Learning track replace core physics content?

No. The Artificial Intelligence and Machine Learning track complements core physics by integrating computational modelling, data analysis, and advanced simulation techniques.

What industries hire MSc Physics graduates?

Graduates can pursue careers in space science, semiconductor and microelectronics industries, quantum technology research, materials science laboratories, research institutions, information technology and data science sectors, renewable energy companies, instrumentation industries, education, and scientific software development.