B.Sc. Computer Science, Physics - Kristu Jayanti University

Department of Physical Sciences / B.Sc. Computer Science, Physics

About the Programme

The B.Sc. (Physics with Computer Science) programme is an interdisciplinary degree that integrates the principles of physical sciences with the computational skills essential for modern scientific and technological innovation. The curriculum provides a balanced foundation in classical and modern physics alongside core computer science competencies such as programming, data structures, operating systems, database management, artificial intelligence, and machine learning.

Students gain analytical thinking, problem-solving ability, experimental skills, and hands-on experience using modern computational tools to model physical systems, analyse data, and develop software solutions. The programme prepares graduates for research, industry, and emerging technology domains where physics and computing converge. The B.Sc. is a three-year degree programme. However, as per the provisions of the new National Education Policy (NEP 2020), a student may continue into the fourth year and earn a B.Sc. Honours degree.

Physics + Computing

Interdisciplinary degree integrating classical and modern physics with programming, AI/ML, databases and software development.

Hands-On Learning

Laboratory and practical components for experimental physics and coding proficiency, plus computational modelling of physical systems.

NEP-Aligned Pathway

Three-year B.Sc. degree with the option to continue into the fourth year and earn a B.Sc. Honours degree under NEP 2020.

B.Sc. Computer Science, Physics students
ACADEMIC PATHWAYS

Future Carriers

Graduates pursue careers in IT, data science, AI, materials research, semiconductors, R&D labs, space science and higher studies.

Career Roles

Software Developer / Engineer
Data Scientist / Analyst
AI / Machine Learning Associate
Research Associate (Physics / Computing)
Semiconductor / Materials Industry Roles
R&D Laboratory Scientist
Space Science / Astrophysics Pathway
Simulation / Modelling Specialist
Academic / Higher Studies
Technical Analyst in Industry

Employment Sectors

IT and Software Services
Data Science and AI Firms
Semiconductor and Electronics Industry
Materials Research and Nanotechnology
R&D Laboratories
Space Science and Astrophysics Organisations
Scientific Computing and Simulation
Government Research Institutions
Higher Studies and Academia
Start-ups in Deep Tech
FOR A COMPLETE ACADEMIC PICTURE

Programme At a Glance

An interdisciplinary B.Sc. where physics and computer science converge for research, industry and emerging technology careers.

Programme: Bachelor of Science (Dual Major)

Specialisation: Computer Science & Physics

Duration: 3 Years (Optional 4th Year – B.Sc. Honours under NEP 2020)

Mode: Full-Time Undergraduate Programme

Academic Focus: Classical & modern physics; programming, AI/ML, databases, OS; computational modelling of physical systems

Pathway: IT, data science, AI, materials, semiconductors, R&D, space science and research

Fee Structure Apply Now
CHECK IF YOU QUALIFY

Eligibility Criteria

Review the mandatory academic qualifications and minimum score criteria required for admission.

Candidates who have completed Higher Secondary/10+2 or equivalent with a minimum of 40% and must have studied STEM at the higher-secondary level; Computer Science at school level is desirable but not mandatory.

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CENTRE OF EXCELLENCE

Programme Outcomes

Outcome-based learning where physics and computing converge for research, industry and emerging technology domains.

Classical & Modern Physics

Mechanics, oscillations, waves, thermodynamics, electricity & magnetism; quantum mechanics, condensed matter, semiconductors, atomic/molecular physics and astrophysics.

Experimental Skills

Laboratory experiments to measure, analyse and interpret physical parameters using modern instruments.

Programming & Systems

Programming in C, Java and Python; data structures, operating systems, database management and software engineering.

AI, ML & Cloud

AI fundamentals, machine learning, deep learning and cloud computing for modern scientific and industrial applications.

Computational Physics

Mathematical and numerical methods; programming for data acquisition, modelling, simulation and visualisation of physical systems.

Research & Technology Link

Understanding of semiconductors, devices, digital electronics, imaging and materials; research-based project integrating both domains.

YOUR PATH TO SUCCESS

Why to Choose This Programme?

Scientific and technological innovation increasingly sits at the intersection of physical understanding and computational power. Graduates who can model physical systems, analyse data and build software solutions are well placed for research and industry roles.

The B.Sc. Computer Science & Physics programme at Kristu Jayanti balances classical and modern physics with programming, systems, AI/ML and computational modelling—supported by labs, projects and pathways into higher studies and emerging technology domains.

Choosing this programme enables students to:

  • Interdisciplinary advantage: conceptual depth of physics with the technological power of computer science—valued in academia and industry.
  • Industry relevance through Linux, DBMS, AI fundamentals, deep learning and cloud computing.
  • Future-ready skillset: programming, AI, machine learning, data mining, cloud computing and simulation techniques.
  • Hands-on learning with laboratory and practical components for experimental and coding proficiency.
  • Career flexibility across IT, data science, AI, materials research, semiconductors, R&D labs and space science.
  • Research orientation via advanced courses in quantum mechanics, condensed matter, nanotechnology and astrophysics.

With dual depth in physics and computer science, graduates are prepared for careers where physical sciences and computing converge.