B.Sc. program in Mathematics
The B.Sc. the program in Mathematics focuses on developing problem-solving skills and logical thinking among learners. It emphasises the application of mathematical concepts to real-life scenarios and builds a strong foundation in various branches of mathematics. Students gain proficiency in reasoning, abstract thinking, and data analysis. With experienced faculty guiding them, graduates are equipped for careers in diverse fields of teaching, research, IT, and finance.
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 of Mathematics employs a diverse array of teaching methods to enhance engagement and effectiveness. Instruction includes interactive lectures, collaborative problem-solving sessions, and the use of digital tools to facilitate conceptual understanding. Emphasis is placed on applying mathematical principles to real-world problems through active engagement in research projects, fostering the development of robust analytical and problem-solving skills.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 acquire a deep understanding of core mathematical concepts across key branches, including
algebra, calculus, geometry, and statistics.
Graduates will enhance their problem-solving abilities and logical reasoning to tackle complex problems
with critical thinking.
Graduates will apply mathematical knowledge to solve real-world problems and develop algorithms to
address complex challenges.
Graduates will demonstrate the ability to adapt mathematical techniques to emerging technologies and
evolving problem domains.
Admissions
Graduate Attributes
Advanced Analytical Skills
Effective Problem-Solving Abilities
Practical Application Skills
Critical Thinking
Effective Communication Skills
Technical Tool Proficiency
Collaborative Teamwork
Research Competence
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For Program-Related Query: 9867969050; 9892018903
For Admission-related Query:
admissions.baqf@jaihindcollege.edu.in