KU Leuven

Overview

The Master of Science (MSc) in Actuarial and Financial Engineering at KU Leuven is a comprehensive two-year program designed to equip students with advanced expertise in actuarial engineering, financial mathematics, and quantitative risk management. Delivered in English, the program emphasizes practical applications, allowing students to build and validate risk models used across various sectors including insurance, banking, pensions, and consulting, all while working with real datasets.

What you'll study

The MSc program is structured around a core curriculum, elective courses, and a master's thesis, totaling 120 ECTS. The curriculum is organized into several thematic areas:

• Core Curriculum (approximately 70–72 ECTS)
  • Actuarial Engineering: Life, Health, and Pensions (18 ECTS)
    • Life Insurance Mathematics
    • Actuarial Mathematics for Pensions
    • Advanced Life Insurance Mathematics
  • Actuarial Engineering: Data Science Methods (12 ECTS)
    • Loss Models
    • Data Science for Non-Life Insurance
  • Risk Engineering (18 ECTS)
    • Risk Management in Financial Institutions
    • Statistical Tools for Quantitative Risk Management
    • Foundations of Quantitative Risk Measurement
  • Financial Engineering (12 ECTS)
    • Fundamentals of Financial Mathematics
    • Financial Engineering
  • Regulation and Solvency (10–12 ECTS)
    • Solvency of Financial Institutions
    • Elective options (e.g., European Financial Regulation, European Insurance Law)
• Applied Learning Component (6 ECTS)
  • Internship and/or applied project work aligned with the program’s modeling and risk focus
• Master’s Thesis (24 ECTS)

  Students will undertake a thesis project that applies advanced quantitative and modeling skills to a relevant topic in actuarial science, financial engineering, or risk management. This involves problem formulation, data/model analysis, and the creation of a written scientific or professional report.

• Electives (remaining credits)
  • Courses that allow for specialization in various thematic areas
  • Electives may be chosen to support specific career paths such as insurance risk, financial risk, regulation, or data-driven modeling

Entry requirements

Admission to the program is contingent upon the applicant's prior academic qualifications. For the most accurate and detailed information regarding entry requirements, including necessary degree profiles, grading thresholds, and documentation, prospective students should refer to the official KU Leuven program webpage.

Academic background

• A bachelor’s degree in a quantitative discipline such as mathematics, statistics, actuarial science, engineering, economics, or a closely related field.
• Strong foundational knowledge in mathematics and statistics, covering subjects such as calculus, linear algebra, probability, and statistics.

Career prospects

Graduates of this program can pursue a wide range of career opportunities in areas such as risk modeling and analytics, pricing strategies, solvency reporting, asset and liability management, and quantitative risk management. The strong analytical and quantitative skills developed during the program position alumni for success in various finance and insurance sectors.