UNDERGRADUATE PROGRAMS

Computational Physics is an interdisciplinary domain that utilizes computational methods and algorithms to solve complex problems in physics. It bridges theoretical physics and experimental physics by simulating physical systems that are analytically intractable or experimentally challenging. Techniques such as numerical analysis, Monte Carlo simulations, and molecular dynamics are commonly employed.

Studying B.Sc. Computational Physics at Amity University Punjab provides a platform to investigate the key areas which include quantum mechanics, statistical mechanics, fluid dynamics, and condensed matter physics. The field uses high-performance computing to model processes at many sizes, from subatomic particles to cosmological structures, resulting in insights that drive advances in technology, materials science, and fundamental physics study.

Course Duration

• B.Sc. (Hons) Computational Physics – 3 years
• B.Sc.+ M.Sc. (Hons) Computational Physics - Integrated – 5 years

Eligibility Criteria

• B.Sc. (Hons) Computational Physics – 3 years
  10+2 or equivalent from a recognized education board with a minimum of 60% aggregate marks in Physics, Chemistry and Mathematics
• B.Sc. + M.Sc. (Hons) Computational Physics - Integrated – 5 years
  10+2 or equivalent from a recognized education board with a minimum of 60% aggregate marks in Physics, Chemistry and Mathematics

Fees:

B.Sc. (Hons) Computational Physics: - First Year: 1,10,000

B.Sc. + M.Sc. (Hons) Computational Physics - Integrated: - First Year: 90,000

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• B.Sc. (Hons) Computational Physics – 3 years
• Data Science
• Machine learning
• AI

• B.Sc. + M.Sc. (Hons) Computational Physics - Integrated – 5 years>
• Data Science
• Machine learning
• AI

Studying Computational Physics equips students with the following learning outcomes:

• Acquire a solid foundation in core physics concepts and mathematical techniques.
• Develop proficiency in programming languages and computational tools essential for modelling and simulating physical systems.
• Gain expertise in numerical methods, algorithm development, and data analysis.
• Apply computational techniques to solve complex physical problems and conduct independent research.
• Enhance critical thinking and problem-solving skills through practical and theoretical coursework.
• Prepare for advanced studies or careers in academia, industry, and research institutions.

Studying a B.Sc. in Computational Physics offers several key advantages:

• Interdisciplinary Skills: Develops proficiency in physics, mathematics, and computer science, making graduates versatile and adaptable.
• Problem-Solving Abilities: Enhances analytical and critical thinking skills through complex problem-solving and simulations.
• Technological Proficiency: Provides hands-on experience with advanced computational tools and programming languages.
• Research Opportunities: Prepares students for cutting-edge research in diverse fields like quantum mechanics, astrophysics, and materials science.
• Higher Education: Lays a strong foundation for advanced studies in physics, computational sciences, and related disciplines.
• Innovation Potential: Fosters the ability to innovate by simulating physical phenomena that are difficult to study experimentally.
• Collaborative Experience : Encourages teamwork and collaboration in interdisciplinary projects, enhancing communication and project management skills.
• Career Readiness: Equips graduates with skills in high demand across various industries, including technology, finance, and engineering.

The faculty of the Department of Computational Physics at Amity University Punjab consists of academic professionals with specialization in diverse areas such as quantum mechanics, computational methods, condensed matter physics, and high-performance computing. They often collaborate with other departments, enhancing interdisciplinary research and education. They employ modern teaching methods, integrating computational tools and hands-on projects to enhance learning outcomes.

After obtaining a B.Sc. degree in Computational Physics, graduates can pursue various professions, including:

• Research Scientist: Conducting research in academic institutions, national laboratories, or private research organizations.
• Software Developer:: Designing and developing software applications, particularly in scientific computing, simulation, and modelling.
• Quantitative Analyst:: Using computational techniques to model and analyse financial markets, often in banking or investment firms.
• Academia: Pursuing advanced degrees (M.Sc., PhD) and becoming a university professor or lecturer.
• Consultant: Providing expertise in computational methods and simulations to solve industry-specific problems.
• IT Specialist: Managing and developing IT infrastructure, focusing on high-performance computing systems.
• Climate Scientist: Modelling and simulating climate processes, working with environmental organizations or government agencies.
• Data Scientist: Analysing and interpreting complex datasets in various industries, including finance, healthcare, and technology.
• Computational Engineer: Working in fields such as aerospace, automotive, and energy, applying computational methods to engineering problems.
• Bioinformatics Specialist: Applying computational techniques to biological and medical data, contributing to advancements in healthcare and biotechnology.

Programme Structure, Syllabi, Outline of Tests, and Course of Reading as follows

B.Sc. (Hons) Computational Physics

B.Sc.+M.Sc. (Hons) Computational Physics - Integrated