About B.Sc (Research) Program
UG Advising portalAbout this site
UG Advising portalThis website is the centralized undergraduate advising portal for Mathematics at Shiv Nadar University. It helps route your queries to the correct faculty member so we can respond quickly and consistently. Use the navigation tabs above to find information on minor and specialization policies, exams and grades, documentation and course administration, undergraduate thesis guidance and other academic matters. When you are ready to ask a question, submit a query with your programme details and deadlines using the form.
Please browse the sections below to learn more about our programme, the department and where our students go after graduation.
About the Department
School of Natural SciencesThe Department of Mathematics, established in 2011, is one of the founding departments at the Shiv Nadar Institution of Eminence. Our faculty are active researchers in diverse areas including functional analysis, optimization, algebra, complex systems, artificial intelligence, mathematical finance, probability and statistics. This research is integrated into the B.Sc. programme through undergraduate thesis projects, leading to higher degrees, placements and internships. Our mission emphasises rigorous learning in fundamental mathematics and emerging technologies, bridging pure and applied mathematics, and providing training in computing skills. Students from a variety of backgrounds benefit from interdisciplinary courses that connect mathematics with data science and other fields.
Our Alumni
Paths after graduationOur graduates continue to pursue advanced studies at top universities worldwide and build careers in industry. Recent alumni have joined institutions such as ETH Zurich, University of Münster, University of Alabama, RPTU Kaiserslautern-Landau, Imperial College London and more.
We celebrate the diverse pathways of our alumni—many pursue higher degrees or research positions, while others apply their mathematical training in finance, technology, data science and other industries.