Integrated degree program

B.Sc. (Hons) Actuarial Science, Computer Science & Artificial Intelligence

One degree for pricing risk, engineering systems and building the models that decide under uncertainty.

4 years

duration

147

credits to graduate

courses incl. electives & M.Sc.

SOA/CAS exams mapped

Credit split across the six pillars

Core curriculum only (138 credits); electives add 9.

Actuarial31 cr · 22%
Mathematics & Statistics28 cr · 20%
Computer Science24 cr · 17%
AI & Machine Learning26 cr · 19%
Integration & Practice14 cr · 10%
Professional & Ethics15 cr · 11%

Video courses: narrated lesson films for every course

Chaptered slides with live formulas and voice-over, worked examples, checkpoints, practice and course-specific study techniques. Years 1–3 pre-built as story seasons; the rest generated on demand. The full syllabus lists every topic with past papers and formula sheets, and the study-plan builder turns your course picks into a week-by-week timeline.

Open video courses Full syllabus Study plan builder Degree final exam

Year 1

Fall semester

17 credits

Spring semester

17 credits

Year 2

Fall semester

18 credits

Spring semester

16 credits

Year 3

Fall semester

17 credits

Spring semester

18 credits

Year 4

Fall semester

17 credits

Spring semester

18 credits

Electives

Choose three (9 credits) in Years 3–4; tracks recommend specific combinations.

B.Sc. (Hons) Actuarial Science, Computer Science & Artificial Intelligence

Credit split across the six pillars

Year 1

Fall semester

Calculus I

Linear Algebra

Programming I (Python)

Introduction to Actuarial Science & Insurance

Principles of Microeconomics

Spring semester

Calculus II & Multivariable Calculus

Probability for Risk (Exam P)

Programming II & Object-Oriented Design

Principles of Macroeconomics

Technical Writing & Communication for Quants

Year 2

Fall semester

Financial Mathematics (Exam FM)

Mathematical Statistics

Data Structures & Algorithms

Databases & SQL for Insurance Data

Financial Accounting & Corporate Finance

Spring semester

Long-Term Actuarial Mathematics I: Life Contingencies

Regression & Statistical Learning (Exam SRM)

Software Engineering & DevOps

Stochastic Processes

R & Python for Actuaries

Year 3

Fall semester

Short-Term Actuarial Mathematics: Loss Models

Ratemaking & Credibility

Machine Learning

Bayesian Statistics & Decision Theory

Numerical Methods & Scientific Computing

Spring semester

Loss Reserving & Stochastic Reserving

Long-Term Actuarial Mathematics II & Pensions

Deep Learning

Time Series & Forecasting

Distributed Systems, Cloud & Data Engineering

Professionalism, Ethics & Actuarial Standards

Year 4

Fall semester

Predictive Analytics for Insurance (Exam PA)

Enterprise Risk Management, Risk Measures & Capital

NLP & Large Language Models for Insurance

Decision Under Uncertainty & Reinforcement Learning

Capstone I: Data-Driven Pricing & Reserving

Research Methods & Actuarial Research Seminar

Spring semester

Explainable AI, Fairness & Model Governance in Insurance

MLOps, Agents & Automation of Actuarial Workflows

Health Insurance, Reinsurance & Catastrophe Modelling

Capstone II: InsurTech Product Studio

Internship / Co-op Practicum

Capstone Case Study: The Full Actuarial Engagement

Electives

Cybersecurity, Privacy & Data Protection

Causal Inference for Pricing & Claims

Generative Models & Synthetic Insurance Data

Financial Engineering & Derivatives

P&C Financial Reporting, Regulation & Solvency

High-Performance & GPU Computing for Simulation

Data Science Lab for Actuaries (Exam PA / ATPA studio)

Deep Learning for Time Series, Mortality & Claims Forecasting

Reinforcement Learning for Dynamic Pricing, Hedging & Claims Triage