BSc Physics, Mathematics

Overview

The BSc Physics Mathematics programme is an intellectually vibrant journey through the deepest ideas that govern the universe and the abstract structures that make advanced science possible. Physics reveals the awe-inspiring laws that shape motion, light, matter, energy, heat, the atom, stars, and the cosmos. Mathematics, the purest language of logic and patterns, empowers students to model, reason, predict, and innovate with precision.

Together, they form a powerful academic combination, unlocking everything from the behaviour of subatomic particles to the geometry of curved space, from semiconductor devices to the equations that explain waves, fields, and celestial mechanics.

This programme blends rigorous theory, hands-on laboratory experience, mathematical problem-solving, computational training, and research exposure, preparing students for a future driven by scientific discovery and technological innovation.

Eligibility

Candidates who have passed Higher Secondary (10+2 / PUC) or equivalent with Physics and Mathematics as compulsory subjects, securing a minimum of 40% aggregate or equivalent CGPA, are eligible to apply.

Why Choose This Programme?

  • Two Majors, One Powerful Degree: Develop mastery in both fundamental physics and advanced mathematics—an exceptional advantage for higher studies and STEM careers.
  • A Curriculum Designed for the Future: Covers everything from classical mechanics to quantum mechanics, from abstract algebra to numerical analysis, from semiconductor devices to astrophysics.
  • Hands-On Scientific Learning: Well-equipped physics laboratories, mathematical computing labs, simulations, and project-based learning.
  • Modern Skill Integration: Training in modelling, Python/MATLAB programming, numerical computation, and data-driven scientific reasoning.
  • Gateway to Emerging Fields: Quantum technologies, space science, nanotechnology, electronics, cryptography, AI foundations, and scientific computing.
  • Career Flexibility: Pathways in research, industry, data science, education, defence, space applications, and applied mathematics.

What You Will Learn?

Students will build strong conceptual and practical expertise across:

Physics Core

  • Mechanics, properties of matter, and wave motion
  • Electricity, magnetism, and electromagnetic theory
  • Heat, thermodynamics, and statistical behaviour of systems
  • Optics and modern experimental physics
  • Solid-state physics, semiconductor devices, and nanoscience
  • Quantum mechanics, atomic/molecular physics, and nuclear science
  • Digital electronics and instrumentation

Mathematics Core

  • Calculus, real analysis, abstract algebra, and linear algebra
  • Differential equations (ODEs & PDEs), vector calculus, fluid mechanics
  • Discrete mathematics, graph theory, number theory
  • Numerical methods, advanced numerical analysis, and mathematical modelling
  • Complex analysis and applied mathematics

Practical & Computational Skills

  • Physics laboratory techniques
  • Mathematical computing and problem-solving
  • Python/MATLAB/Scilab for simulation and data analysis
  • Scientific writing, documentation, and mini-projects

Programme Matrix

Semester I Semester II Semester III Semester IV Semester V Semester VI
Mechanics and Properties of Matter Electricity and Magnetism Wave Motion and Optics Heat and Thermodynamics Classical Physics and Quantum Mechanics-I Semiconductor Physics and Digital Electronics
Mechanics and Properties of Matter Practical Electricity and Magnetism Practical Wave Motion and Optics Practical Heat and Thermodynamics Practical Classical Physics and Quantum Mechanics-I Practical Semiconductor Physics and Digital Electronics Practical
Calculus Discrete Mathematics Differential Equations Vector Calculus Condensed Matter Physics Atomic, Molecular and Nuclear Physics
 Calculus Practical Discrete Mathematics Practical Differential Equations Practicall  Vector Calculus Practical Condensed Matter Physics Practical Atomic, Molecular and Nuclear Physics Practical
         Real Analysis Linear Algebra
        Real Analysis Practical Linear Algebra Practical
        Abstract Algebra Numerical Analysis
        Abstract Algebra Practical Numerical Analysis Practical