B.Sc. program in Physics
The B.Sc. program in Physics at Jai Hind College offers a comprehensive education in fundamental physics that includes a detailed study of theoretical physics, from classical to quantum theories, and practical experience in experimental physics. Established in 1949, the department combines theory with hands-on learning to prepare students for advanced studies or careers in science. Students engage in practical experiments, research projects, and interactive classes. This approach helps them develop problem-solving skills and a deep grasp of physics, readying them for diverse opportunities in research, industry, or further education.
Key Information
60 seat capacity
Globally – aligned curriculum
100% aligned with 7 core papers of Actuarial Science; 50% with another three
98% aligned with CFA syllabus
99% aligned with FRM syllabus
Training in Professional Certifications
Internships
Qualified Actuaries as mentors
Pedagogy
The department utilises a range of interactive teaching methods to enhance student learning. These methods include practical laboratory sessions, specialised workshops, and active participation in research activities. Students are encouraged to engage in discussions, debates, and hands-on projects to deepen their understanding and apply theoretical concepts. The curriculum is regularly updated to reflect current advancements in the field, ensuring that the content remains relevant and provides a comprehensive learning experience.Curriculum
| Semester I | Semester II | ||
|---|---|---|---|
| Course Title | Course Type | Course Title | Course Type |
| Fundamentals of Finance | Major | Essentials of Quantitative Finance | Major |
| Economic Principles and Market Dynamics | Minor | Inference and Credibility Analysis | Major |
| Principles of Corporate Finance and Governance | Minor | Macroeconomic Analysis | Minor |
| Fundamentals of Statistics and Probability | OE | Corporate Financial Insight | Minor |
| Mathematical Foundations for Quantitative Analysis | OE | Business Management | OE |
| Introduction to Basic Excel | VSC | Advanced Excel with VBA | VSC |
| Introduction to R Programming and Python | SEC | Statistical Computing with R | SEC |
| Digital Literacy | VEC | Business Communication | AEC |
| General Communication | AEC | Ethics & Professionalism | VEC |
| Indian Knowledge System | IKS | Co-Curricular Course | CC |
| Semester III | Semester IV | ||
|---|---|---|---|
| Course Title | Course Type | Course Title | Course Type |
| Asset-Liability Management and Valuation | Major | Derivatives and Financial Instruments | Major |
| Introduction to Risk Management and Uncertainty | Major | Advanced Risk Management Techniques | Major |
| Behavioral Finance and Investment Decision-Making | Minor | Investment Banking and Capital Markets | Minor |
| Portfolio Management and Wealth Optimization | Minor | Strategic Portfolio Management | Minor |
| Financial Regulation and Compliance | OE | Financial Engineering in Excel | SEC |
| Financial Modeling with Excel | VSC | Model Documentation and Reporting Standards | OE |
| Communication Skills - I | MIL | Machine Learning for Financial Applications | RP |
| Co-Curricular Course | CC | Communication Skills - II | MIL |
| Project Work | OJT/FP/Internship | Community Engagement | CEP |
Specialisation in Actuarial Science
| Semester V | Semester VI | ||
|---|---|---|---|
| Course Title | Course Type | Course Title | Course Type |
| Life Contingencies and Actuarial Mathematics | Major | Advanced Life Contingencies | Major |
| Advanced Statistical Modeling for Insurance | Major | Stochastic Processes in Actuarial Science | Major |
| Statistical Methods for Actuarial Science | Major | Survival Analysis and Mortality Modeling | Major |
| Actuarial Risk Management and Solvency | Elective | Financial Analysis for Actuarial Practice | Elective |
| Advanced Ethics and Governance in Finance and Insurance | Minor | Excel Applications in Actuarial Science | Minor |
| Excel Applications in Actuarial Science | VSC | R Programming for Actuarial Data Analysis | VSC |
| Internship | OJT/Internship | Project Work | Internship |
Specialisation in Quantitative Finance
| Semester V | Semester VI | ||
|---|---|---|---|
| Course Title | Course Type | Course Title | Course Type |
| Mergers, Acquisitions, and Corporate Restructuring | Major | Financial Engineering and Derivatives Strategies | Major |
| Portfolio Optimization and Risk Management | Major | Global Financial Markets and Currency Risk | Major |
| Time Series Analysis for Financial Markets | Major | Behavioral Finance and Wealth Management | Major |
| Quantitative Risk Management for Finance | Elective | Financial Statement Analysis for Investment | Elective |
| Advanced Ethics and Governance in Finance and Insurance | Minor | Advanced Programming for Financial Data Analysis | Minor |
| Alternative Investments and Hedge Fund Strategies | VSC | Python & SQL | VSC |
| Internship | OJT/Internship | Project Work | Internship |
Programme Objectives
Graduates will develop a strong foundation in both fundamental and applied physics.
Graduates will gain hands-on experience through laboratory work, workshops, and research projects,
enhancing their practical skills.
Graduates will develop essential soft skills, including critical thinking, problem-solving, and effective
communication.
Graduates will be well-prepared for advanced studies or careers in diverse fields such as research, industry
and technology.
Admissions
Graduate Attributes
Strong Theoretical Knowledge
Experimental Proficiency
Analytical Thinking Skills
Problem-Solving Abilities
Critical Evaluation Skills
Research Proficiency
Adaptability and Innovation
Effective Communication Skills