B.Sc in Mathematics (Research)
Science (B.Sc)
Shortlisted by 0+ Students
Location: Noida
Duration: 4 YEAR
Regular / Offline
Average Fees: ₹ 10.50 Lakhs
Highlights The B.Sc. Mathematics (Research) degree program is distinct in that it incorporates both practical work and research, also allowing students to complete a thesis with the guidance of an advisor. This provides students with the opportunity to gain hands-on experience and develop practical skills in addition to theoretical knowledge. Empowerment through rigorous learning and research in fundamental areas of mathematics and emerging technologies is at the core of the undergraduate programme. The program duration for our B.Sc. (Research) program is 6 to 12 semesters.
B.Sc in Mathematics (Research)
The B.Sc. Mathematics (Research) degree program is distinct in that it incorporates both practical work and research, also allowing students to complete a thesis with the guidance of an advisor. This provides students with the opportunity to gain hands-on experience and develop practical skills in addition to theoretical knowledge. Empowerment through rigorous learning and research in fundamental areas of mathematics and emerging technologies is at the core of the undergraduate programme. The program duration for our B.Sc. (Research) program is 6 to 12 semesters
Program Structure
Students may be allowed by the Department Undergraduate Committee to alter the sequence of core courses to ease goals such as obtaining a Minor from another department or completing prerequisites for a summer program or internship. Similarly, each student will have individually guided choice in timing CCC, UWE, and Mathematics elective courses.
While completing the (Major) B.Sc. (Research) in Mathematics, students can also acquire a Minor in another discipline.
Specializations
Mathematical Finance
Mathematical Finance is a modern study area where advanced mathematical methods are used to create and add immense value in a practical environment. Typically, banks, insurance companies, and institutional investors rely on mathematical models to drive their investment and risk management strategies. The study of Mathematical Finance provides ample opportunities for continuation into research. Alternatively, it can be essential in finding employment in many areas of the financial industry.
Applied Algebra
Modern algebra emphasizes studying relationships and symmetry, and has brought greater clarity to all parts of mathematics and its applications. The specialization in Applied Algebra offers the opportunity to study several topics in algebra that are especially popular today, with applications as diverse as playing a scratched CD, protecting online transactions, designing statistical experiments, and representing molecular structures.
The Department strives to explore new and emerging transdisciplinary knowledge domains relevant to societal benefits and sustainable development goals such as Human-Nature interaction and Artificial Intelligence. Some frontier areas in which the faculty has reputed publications include Complex Systems Modeling, Statistical Learning, Minimal Surfaces, and Mathematical Finance. The Department's engagement with these emerging learning paradigms promotes novel dimensions to our research focus that transcends to the Doctoral program, which has these as thrust areas, in addition to modern regions of Functional Analysis, Algebra, Optimization, and Geometry.
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