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The Department of Computational Physics focuses on applying advanced computational techniques to solve complex physical problems. It combines physics theories, mathematical models, and computer science to simulate physical systems and analyse data. Research areas include quantum mechanics, condensed matter physics, astrophysics, and materials science. The department equips students with skills in programming, algorithm development, and numerical analysis, preparing them for careers in academia, industry, and research institutions. Collaborations with other scientific disciplines enhance interdisciplinary innovation and discovery.

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 M.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

  • M.Sc. (Hons) - Computational Physics – 2 years

Eligibility Criteria

  • M.Sc. (Hons) - Computational Physics – 2 years
    B.Sc. with minimum 60% aggregate marks in Physics/ Mathematics

Fees:

M.Sc. (Hons) - Computational Physics: - First Year:1,00,000

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  • M.Sc. (Hons) - Computational Physics – 2 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 an M.Sc. in Computational Physics offers several key advantages:

  • Research Opportunities: Offers access to cutting-edge research projects, often leading to publications in reputable journals.
  • Specialization: Allows for specialization in areas such as quantum mechanics, astrophysics, condensed matter physics, or computational fluid dynamics.
  • Interdisciplinary Integration: Encourages collaboration with other scientific disciplines, fostering innovation and broadening research perspectives.
  • Enhanced Skills: Further develops programming, numerical analysis, and data interpretation skills, making graduates highly competitive in the job market.
  • Advanced Knowledge: Provides deep understanding of complex physical phenomena and advanced computational techniques.
  • Innovation and Problem-Solving: Equips students with the ability to tackle complex, real-world problems through innovative computational solutions.
  • High Demand: Prepares graduates for roles in high-demand fields such as data science, finance, engineering, and technology.
  • Career Advancement: Opens higher-level career opportunities in academia, industry, and research institutions.

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.

M.Sc. in Computational Physics enhances career prospects in various fields. Graduates can pursue different roles such as:

  • Research Scientist: Leading advanced research projects in academic institutions, national laboratories, or private research organizations.
  • Data Scientist/ Analyst: Analysing complex datasets in sectors like finance, healthcare, technology, and environmental science.
  • Software Engineer: Developing specialized software for simulations, modelling, and data analysis in scientific and industrial applications.
  • Quantitative Analyst: Using computational models to analyse financial markets and manage risks in banking, investment firms, and insurance companies.
  • Computational Physicist: Working in industries like aerospace, energy, and materials science, applying computational techniques to solve engineering and physics problems.
  • Consultant: Providing expert advice on computational methods and simulations to various industries, including technology, pharmaceuticals, and engineering.
  • High-Performance Computing Specialist: Managing and developing high-performance computing systems for research institutions and tech companies.
  • Bioinformatics Specialist: Applying computational techniques to biological data, contributing to advancements in genomics, drug discovery, and personalized medicine.
  • Climate Modeler: Simulating and analysing climate processes for government agencies, environmental organizations, and research institutions.

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

M.Sc. (Hons) - Computational Physics