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

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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.

Strong Foundation in Physics

Comprehensive understanding of classical mechanics, electromagnetism, optics, thermodynamics, quantum mechanics and modern physics.

Experimental Learning

Hands-on training through undergraduate physics laboratories, instrumentation and experimental techniques.

Skill Development

Development of analytical thinking, scientific communication, programming, laboratory skills and technical presentation abilities.

B.Sc. Computer Science, Physics students
CAREER PATHWAYS

Future Careers

Career Roles

Research Assistant
Scientific Officer
Scientific Assistant
Physicist
Experimental Physicist and Computational Physicist
Materials Scientist
Instrumentation Scientist
Quality Control / Quality Assurance Scientist
Technical Officer
Physics Faculty / Lecturer
Software Developer / Engineer
Data Scientist / Analyst
AI / Machine Learning Associate
Simulation / Modelling Specialist

Employment Sectors

National Research Laboratories and Scientific Institutions
Space Science and Aerospace
Defence Research and Technology
Materials Science and Nanotechnology
Semiconductor and Electronics Industries
Energy and Renewable Energy
Universities and Higher-Education Institutions
Medical Physics and Healthcare Technology
Scientific Instrumentation
Advanced Manufacturing and Materials Industries
Government and Public-Sector Research Organisations
Private R&D and Technology Companies
Educational and Academic Services
IT and Software Services
Data Science and AI Firms
FOR A COMPLETE ACADEMIC PICTURE

Programme At a Glance

An interdisciplinary B.Sc. integrating physical sciences and computational methods for research and high-tech industries.

Programme Title: BSc

Specialization: Computer Science, Physics

Duration: 3 years

Study Mode: Full time

Core Academic Focus Areas: Classical Mechanics and Mathematical Physics, Electromagnetism and Electronics, Wave Motion and Optics, Quantum and Modern Physics, Thermodynamics and Statistical Physics, Atomic, Molecular and Nuclear Physics, Semiconductor Physics and Electronic Devices

Practicals: Mechanics and Properties of Matter Practical, Optics and Wave Motion Practical, Atomic, Molecular and Nuclear Practical, Heat and Thermodynamics Practical, Classical and Quantum Mechanics Practical, Condensed Matter Physics Practical, Semiconductor Physics Practical

Focus Areas from Computer Science: Key areas include AI Essentials, Design and Analysis of Algorithms, Cyber Security Essentials, Machine Learning, and Cloud Environment, with hands-on practical learning to strengthen students’ technical and industry-ready skills.

Learning Pathway (Extra Electives and others): Guest lectures, workshops on tools and conferences

CURRICULUM MATRIX

Programme Matrix

Comprehensive semester-wise course distribution covering computer science, classical & modern physics, experimental labs, and multidisciplinary skills.

Semester I

Programming Concepts using C
Programming Concepts using C Practical
Mechanics and Properties of Matter
Mechanics and Properties of Matter Practical
Conversations: Words, Worlds and the Self
Language Elective: Kannada Saurabha I / Vijnana Koustubha / Foundational English
Web Development
Health and Wellness

Semester II

Data Structures
Data Structures Practical
Fundamentals of Electricity and Magnetism
Fundamentals of Electricity and Magnetism Practical
Multidisciplinary Course (MDC)
Language in Practice: Texts and Transformations
Language Elective: Kannada Saurabha II / Vijnana Ratna / Applied English
Python Programming
Understanding India
CHECK IF YOU QUALIFY

Eligibility Criteria

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

  • Successful completion of Higher Secondary / 10+2 or equivalent examination from a recognised board with a minimum of 40%.
  • Candidates must have studied STEM at the higher secondary level.
  • A background in Computer Science at school level is desirable but not mandatory.
  • Admission is based on institutional guidelines such as entrance tests, merit, or interviews (as applicable).

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LEARNING OBJECTIVES

Programme Specific Outcomes (PSOs)

Targeted competencies and practical mastery achieved by graduates throughout their academic journey.

PSO1: Demonstrate knowledge of principles and concepts in Computer Science and Physics.

PSO2: Apply theoretical frameworks and methods in Computer Science and Physics in industrial and societal settings.

PSO3: Exhibit proficiency in using programming languages and experiments in Physics.

PSO4: Formulate ethical and systematic research in Computer Science and Physics.

YOUR PATH TO SUCCESS

Why Choose this programme ?

Key strengths, experiential learning, and strategic career advantages offered by the 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: Combines the conceptual depth of physics with the technological power of computer science highly valued in both academia and industry.
  • Industry Relevance: Exposure to modern computing technologies such as Linux, DBMS, AI fundamentals, deep learning, and cloud computing.
  • Future-ready Skillset: Students learn programming, AI, machine learning, data mining, cloud computing, and simulation techniques used in modern scientific research.
  • Hands-on Learning: Every major course is supported with laboratory/practical components, ensuring strong experimental and coding proficiency.
  • Career Flexibility: Graduates can pursue careers in IT, data science, AI, materials research, semiconductor industries, R&D labs, space science, and more.
  • Research Orientation: Advanced courses in quantum mechanics, condensed matter physics, nanotechnology, and astrophysics provide pathways for higher studies and research.

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