Fergusson College B.Sc Applied Mathematics FAQs
Ques. What is the eligibility for B.Sc Applied Mathematics at Fergusson College?
Ans. Candidates who have passed Class 12 (10+2) in the Science stream, with Mathematics, are eligible for B.Sc Applied Mathematics at Fergusson College. Admission is merit-based on Class 12 aggregate marks with no entrance examination, and reservation applies as per Maharashtra government norms.
Ques. What is the total fee for B.Sc Applied Mathematics at Fergusson College?
Ans. The total fee for the 3-year B.Sc Applied Mathematics at Fergusson College is INR 2,51,001 (around INR 83,667 per year) as reported for 2025-26. Laboratory, examination, and other charges are payable separately, and Maharashtra state, MahaDBT, and minority scholarships are available for eligible candidates.
Ques. What subjects are covered in B.Sc Applied Mathematics at Fergusson College?
Ans. The 3-year B.Sc Applied Mathematics at Fergusson College covers real and complex analysis, linear algebra, differential equations, numerical methods, probability and statistics, operations research, and computational and applied mathematics across six semesters under the autonomous SPPU curriculum, with programming, modelling, and project work.
Ques. What careers are available after B.Sc Applied Mathematics from Fergusson College?
Ans. B.Sc Applied Mathematics graduates from Fergusson College work as data and quantitative analysts, software and modelling associates, statisticians, and risk analysts in analytics, IT, BFSI, and research, and prepare for M.Sc, MCA, and actuarial study. The degree builds strong logical and computational skills valued across data-driven roles.
Ques. Is B.Sc Applied Mathematics at Fergusson College a good choice in Pune?
Ans. Yes. Fergusson College, established in 1885 and run by the Deccan Education Society, is an autonomous college affiliated to Savitribai Phule Pune University with a strong mathematics department and a historic central-Pune campus. Its B.Sc Applied Mathematics is a self-financed programme that blends rigorous theory with computation, modelling, and projects, preparing graduates for analytics, research, and quantitative careers.








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