B.Sc. in Mathematics
Overview
At SAS, our B.Sc. Mathematics curriculum is designed under the Choice Based Credit System (CBCS), ensuring flexibility and a learner-centric approach. Students gain not only rigorous theoretical knowledge but also practical exposure through problem-solving workshops, research projects, internships, and interdisciplinary learning. This programme prepares graduates for diverse career paths in education, data analytics, finance, research, information technology, and higher studies in mathematics and allied fields.
Duration & Fees
- Duration: 3 years (6 semesters)
- Eligibility: Pass in 10+2 or equivalent examination from a recognized board (preferably mathematics stream).
- Mode: Full-time (regular)
- Programme Fee: 30,000 Rs Per Year
SAS
Scholarship
SAS provides a range of scholarships and financial aid opportunities to deserving students:
- Merit Scholarships – For students with outstanding academic records.
- Sports & Cultural Scholarships – For achievers in extracurricular activities.
- Need-based Support – Financial assistance for economically weaker students.
- Special Scholarships – For girl students, differently-abled, and minority categories (as per institutional policy).
SAS
Programme Highlights
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Comprehensive Curriculum: Covers core areas such as Algebra, Calculus, Differential Equations, Linear Algebra, Real & Complex Analysis, Probability, and Statistics.
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Applied Learning: Exposure to Operations Research, Mathematical Modelling, and Computer Programming to connect theory with real-world applications.
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Choice-Based Credit System (CBCS): Flexibility to choose elective courses across disciplines for holistic learning.
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Skill Development: Focus on logical reasoning, problem-solving, analytical thinking, and quantitative aptitude.
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Practical Exposure: Hands-on learning through projects, workshops, internships, and interdisciplinary collaborations.
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Research Orientation: Opportunities to participate in mini research projects, seminars, and mathematical problem-solving competitions.
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Career Readiness: Equips students for careers in Data Science, Finance, IT, Teaching, Research, and Competitive Examinations.
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Industry & Academic Linkages: Regular guest lectures, industry interactions, and academic mentoring for practical insights.
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Pathway for Higher Studies: Strong foundation for pursuing M.Sc. Mathematics, Statistics, Actuarial Science, Data Analytics, and professional courses.
Programme Structure (Semester-Wise)
| Year/Semester | Core Courses (Mathematics) | Ability Enhancement/Language | Skill Enhancement/Electives | Credits |
|---|---|---|---|---|
| Year 1 - Semester I | Calculus | Environmental Studies | - | 22 |
| Year 1 - Semester II | Algebra and Trigonometry, Analytical Geometry | - | Matrices | 23 |
| Year 2 - Semester III | Linear Algebra, Differential Equations | - | Integral Calculus | 26 |
| Year 2 - Semester IV | Numerical Methods, Real Analysis | - | Statistical Programming with R and Lab | 25 |
| Year 3 - Semester V | Abstract Algebra, Probability and Statistics | English for Communication | - | 22 |
| Year 3 - Semester VI | Complex Analysis, Mechanics, Project Work | - | - | 22 |
- Career Prospects
- Programme Outcomes
- Placements & Recruiters
A degree in B.Sc. Mathematics opens diverse opportunities in academics, research, and industry. Graduates develop strong analytical, logical, and quantitative skills that are highly valued across sectors.
Higher Studies & Research
- M.Sc. in Mathematics, Statistics, Data Science, or Actuarial Science
- Postgraduate studies in Computer Applications (MCA), Artificial Intelligence, and Quantitative Finance
- Research opportunities leading to M.Phil./Ph.D. in Mathematical Sciences
Professional Careers
- Data Analyst / Data Scientist in IT, finance, and consulting firms.
- Actuarial Analyst in insurance and risk management.
- Banking & Financial Services roles (Investment Analyst, Credit Risk Manager).
- Operations Research Specialist in logistics and supply chain sectors.
- Statistician / Research Associate in academic and corporate R&D units
Education & Public Sector
- Teaching and academic careers in schools, colleges, and universities
- Opportunities in government services and competitive exams (UPSC, SSC, Banking, Defence Services, etc.)
- Roles in national research organisations (ISRO, DRDO, CSIR, etc.)
Emerging Opportunities
- Careers in Machine Learning, AI, Cryptography, and Big Data Analytics
- Business consulting and market research roles requiring quantitative expertise
On successful completion of the programme, graduates will be able to:
- Strong Foundation in Mathematics – Demonstrate comprehensive knowledge of core mathematical concepts, including algebra, calculus, analysis, statistics, and applied mathematics.
- Analytical & Logical Thinking – Apply logical reasoning and quantitative skills to solve complex theoretical and real-world problems.
- Problem-Solving & Modelling Skills – Develop mathematical models and use computational tools to analyse scientific and industrial challenges.
- Research Orientation – Engage in independent learning and research, demonstrating the ability to investigate, interpret, and present mathematical findings effectively.
- Technology Integration – Use software tools and programming languages (e.g., Python, R, MATLAB) for data analysis, simulations, and problem-solving.
- Communication & Teamwork – Effectively communicate mathematical ideas and work collaboratively in interdisciplinary teams.
- Ethics & Social Responsibility – Apply mathematical knowledge responsibly in societal, industrial, and academic contexts with ethical awareness.
- Career & Lifelong Learning Readiness – Pursue higher studies, competitive exams, or professional careers in data science, finance, research, education, and technology-driven fields.
The B.Sc. Mathematics programme at SAS equips students with strong quantitative, analytical, and problem-solving skills, making them highly employable in diverse industries. Placement opportunities are facilitated through campus recruitment drives, industry tie-ups, and internships.
Placement Opportunities
- IT & Software: Data Analyst, Business Intelligence Associate, Software Tester, Algorithm Developer
- Banking & Finance: Credit Risk Analyst, Investment Analyst, Actuarial Assistant, Equity Research Analyst
- Education & Research: School/College Educator, Research Assistant, Statistician, Content Developer
- Government & Public Sector: UPSC, SSC, Banking, Railways, Defense Services, Research Organizations (ISRO, DRDO, CSIR, etc.)
- Emerging Domains: Data Science, Artificial Intelligence, Machine Learning, Cryptography, Big Data Analytics
Potential Recruiters
- IT & Analytics: TCS, Infosys, Wipro, HCL, Cognizant, Accenture, Capgemini
- Finance & Consulting: Deloitte, KPMG, EY, PwC, HDFC Bank, ICICI Bank
- Research & Education: Indian Statistical Institute (ISI), National Sample Survey Office (NSSO), Educational Technology Firms, EdTech Startups
- Emerging Tech Firms: Startups in AI, Data Science, FinTech, and Business Analytics
Entry-Level (Fresh Graduates)
- Teaching / Tutoring: ₹2.5 – ₹4 LPA
- Data Analyst / Business Analyst: ₹3 – ₹5 LPA
- Banking & Finance (Clerical/Analyst roles): ₹3 – ₹4.5 LPA
Mid-Level (with 3–5 years experience / higher studies)
- Data Scientist / Statistician: ₹6 – ₹10 LPA
- Actuarial Analyst: ₹6 – ₹8 LPA
- Operations Research / Risk Analyst: ₹5 – ₹8 LPA
Advanced Careers (with M.Sc., Ph.D., or Certifications)
- University Faculty / Research Scientist: ₹8 – ₹12 LPA+
- Senior Data Scientist / Quantitative Analyst: ₹10 – ₹18 LPA
- Specialist Roles in AI, Cryptography, and Finance: ₹12 – ₹20 LPA+
FAQs
Programme Brochure
| Division | School Name | Department Name | Programme Name |
|---|---|---|---|
| Faculty of Science and Innovation | School of Arts and Science | Department of Mathematics | Bachelor of Science (B.Sc.) Mathematics |
Course Basket Overviews
| Course Type | Description |
|---|---|
| Programme Core (PC) | Courses providing strong foundations in Algebra, Calculus, Differential Equations, Real and Complex Analysis, Linear Algebra, Probability, Statistics, and Numerical Methods, ensuring depth and breadth in Mathematics |
| Programme Electives (PE) | Open electives that allow students to specialize in Applied Mathematics, Operations Research, Mathematical Modelling, Data Science, Actuarial Science, or Computer Programming |
| University Core (UC) | Courses reflecting SAS values: Ethics, Sustainability, Indian Knowledge System, Yoga, Peace Studies, Leadership, Life Skills, fostering holistic growth |
| University Electives (UE) | Multidisciplinary courses across faculties enabling cross-domain learning, such as Economics, Computer Science, Artificial Intelligence, and Management |
Programme Structure (Semester-Wise with Credits)
First Year
| Semester I | Course Type | Credits |
|---|---|---|
| Tamil I/Hindi I | UG | 3 |
| English I | UG | 3 |
| Calculus | UG | 5 |
| General Physics I | UG | 5 |
| Environmental Studies | UG | 4 |
| Introduction to Indian Knowledge Systems | UG | 1 |
| Teamwork and Collaboration | UG | 1 |
| Total Credits: 22 | ||
| Semester II | Course Type | Credits |
|---|---|---|
| Tamil II/Hindi II | UG | 3 |
| English II | UG | 3 |
| Algebra and Trigonometry | UG | 5 |
| Analytical Geometry | UG | 5 |
| Matrices | UG | 3 |
| Arts and Handcraft | UG | 1 |
| Organic Farming | UG | 1 |
| Design Thinking Course | UG | 1 |
| New Literacy Program | UG | 1 |
| Total Credits: 23 | ||
Second Year
| Semester III | Course Type | Credits |
|---|---|---|
| Tamil III/Hindi III | UG | 3 |
| English III | UG | 3 |
| Linear Algebra | UG | 5 |
| Differential Equations | UG | 5 |
| C Programming for Mathematics and Lab | UG | 5 |
| Integral Calculus | UG | 3 |
| Innovation and Entrepreneurship Course | UG | 2 |
| Total Credits: 26 | ||
| Semester IV | Course Type | Credits |
|---|---|---|
| Tamil IV/Hindi IV | UG | 3 |
| English IV | UG | 3 |
| Numerical Methods | UG | 5 |
| Real Analysis | UG | 5 |
| Discrete Mathematics | UG | 5 |
| Statistical Programming with R and Lab | UG | 3 |
| Indian Knowledge System in Town Planning and Governance | UG | 1 |
| Total Credits: 25 | ||
Third Year
| Semester V | Course Type | Credits |
|---|---|---|
| Abstract Algebra | UG | 5 |
| Probability and Statistics | UG | 5 |
| English for Communication | UG | 4 |
| Sustainable Development Goals | UG | 1 |
| Disaster Management Course | UG | 1 |
| Constitution of India | UG | 1 |
| Research Methodology | UG | 2 |
| Internship Course | UG | 3 |
| Total Credits: 22 | ||
| Semester VI | Course Type | Credits |
|---|---|---|
| Complex Analysis | UG | 6 |
| Mechanics | UG | 5 |
| Project Work | UG | 5 |
| Operations Research | UG | 5 |
| Media Management | UG | 1 |
| Total Credits: 22 | ||
Total Programme Credits
- B.Sc. Mathematics (3 Years) – ~140 Credits
Note: The programme structure of B.Sc. Mathematics is subject to periodic revisions in line with the decisions of the Academic Council, emerging trends in mathematical sciences, industry requirements, and accreditation standards. Any updates or changes will be communicated to students well in advance to ensure smooth academic progression.
