Bachelor in Mathematical Sciences (Actuarial Science)

• Four-year, eight-semester Tribhuvan University program combining mathematics, statistics, and computer science to prepare analytical and computational professionals, with specialization options including actuarial science.

• Builds strong foundational competence in calculus, algebra, probability, statistics, programming, algorithms, and mathematical modeling.
• Designed to meet modern industry demands in data-driven decision-making, risk modeling, quantitative finance, and computational analysis.
• Offers specialization tracks in mathematics, statistics, CS/IT, mathematics education, mathematical biology, mathematical economics, and actuarial science.
• Actuarial Science major includes financial mathematics, actuarial models, investments, accounting, economics, risk and insurance, and applied statistical methods.
• Curriculum integrates theoretical courses, practical computing, project work, and internship.

Curricular Structure in Table

Foundation (Sem 1–4)

Actuarial Science Major (Sem 5–8)

Features
• Minimum 120 credit hours across 8 semesters
• Mix of theoretical and practical coursework
• 40% internal evaluation + 60% semester exam
• Multi-exit model with broad interdisciplinary elective options
• Strong computational and analytical training aligned with global quantitative fields
• Internship and project included
• First TU program focused on producing mathematical, statistical, and computational expertise in one integrated track

Admission Process
• Passed +2 or equivalent with 100-mark Mathematics/Business Mathematics, minimum C grade in each subject or second division
• A-level candidates must have full 100-mark Mathematics with minimum D grade
• CTEVT diploma holders must have 100-mark Mathematics and minimum second division
• International graduates must submit equivalence from CDC, Sanothimi
• Merit-based selection through university process (application + evaluation)

Job Prospects
• Actuary (life, health, general, or reinsurance sectors)
• Data analyst or data scientist
• Financial analyst or investment analyst
• Risk analyst in banks, insurance, and financial institutions
• Mathematical modeler in industry or research
• IT/computing analyst
• Research scientist in applied mathematics, statistics, or computational fields
• Secondary/college-level mathematics educator