Program Overview
Apart from traditional life and non-life insurance products, new challenges related to systemic risk, cyber security and climate change will strongly affect the future of the actuarial profession. Insurance companies will need actuaries to analyse a large amount of information, stemming from medical to property data, to better develop new products and to make more accurate projections of future risks. This Master will combine modern methods of mathematics and data science, knowledge in economics and finance, and contemporary skills in insurance practice, to meet the competitive standards of the actuarial profession. Department of Mathematics
Key Program Features
- Official certification as Actuary The Master in Actuarial Sciences guarantees the minimum knowledge
- skills
- and competencies necessary for the practice of this profession
- in accordance with the European Actuarial Association (AAE) core syllabus. Multidisciplinary approach The Master is jointly supported by the Department of Mathematics
- Department of Finance
- Department of Economics and Management. A strong data science component The strong data science component in the master is very timely a
Career Opportunities
Study and career opportunities Graduates from the Master in Actuarial Sciences have a unique profile at the intersection of mathematics and economics/finance to hold positions in insurance and financial industry. In addition, their profile offers a greater guarantee of adaptation to future developments in these fields given their strong background in data science. More info Study programme brochure Learning outcomes At the end of the Master in Actuarial Sciences, graduates are able to: Demonstrate a broad understanding of the corresponding economic theory and regulations. Demonstrate a broad understanding of the actuarial practice. Utilize critical thinking to solve specific actuarial problems arising e.g. in insurance companies, with particular focus on Luxembourg. Apply relevant mathematical and statistical concepts in the context of advanced actuarial practices including managing unforeseeable situations. Apply actuarial research planning and methodology. Communicate complex actuarial information effectively to both specialist and non-specialist audiences. Demonstrate the ability to work autonomously and collaboratively in multidisciplinary teams. Act with professionalism, demonstrating open-mindedness, initiative, responsibility, and, when appropriate, risk management and leadership skills. Monitor and adapt to technological developments in the evolving IT landscape relevant to actuarial science. Engage in continuous personal and professional development through lifelong and self-directed learning. Study perspectives Graduates from the Master in Actuarial Sciences can continue with a PhD in Mathematics or related field. Doctoral Programme in Mathematics and Applications Job perspectives Graduates have job opportunities. Discover more Financing possibilities Discover your future home Any questions? Contact us Share thisshare share email
Program Curriculum
Master in Actuarial Sciences programme The first year lays foundations in several disciplines. During the second year of the master, the students have to complete an internship (of up to one semester) in the insurance or financial sector to learn the practice of the profession. Admissions Academic Contents Semester 1 Semester 1 Semester 2 Semester 3 Semester 4 Principles of actuarial Modelling Life Insurance Data Science for Actuaries Fixed Income Analysis Financial Principles Bayesian Statistics Scientific Python Statistical Modelling Life and non-life insurance applications Corporate Finance Risk Modelling Non-life Insurance Accounting and Taxation Derivatives Microeconomics & Macroeconomics Financial Systems Risk Management Reinsurance Modern Portfolio Theory Continuous-time stochastic analysis and interest rate models Insurance Law Pensions and Other Benefits Communicating and presenting actuarial work Master thesis or Internship Share thisshare share email
Admission Requirements
How to apply to the Master in Actuarial Sciences? To apply for a programme at the University of Luxembourg, candidates must comply with the general eligibility criteria for the chosen programme type and be selected by the study programme based on the quality of their application. Please note that there are 15 places available. The programme at a glance – 120 ECTS Duration: 2 years / 4 sem Teaching languages: EN Admissions: EU: 1 Feb 2026 – 15 Jul 2026 Non-EU: 1 Feb 2026 – 24 Mar 2026 Fees: 400€/ sem. (semester 1,2,3,4) Format: Full-time programme (Part-time student status allowed) Specific information for this programme Requirements Applicants must have a bachelor’s degree in Mathematics, Physics, Engineering or Economics/Finance. Applicants must demonstrate an adequate scientific background in the relevant mathematical topics, in particular in probability and mathematical statistics. Refresher courses, including a one-week bootcamp in Economics and a one-week bootcamp in Mathematics, will be offered at the beginning of the first year to fill any gaps in mathematical education. These courses will be offered together with the master programme in Data Science to effectively use the teaching capacities. English: B2 If the Bachelor’s was taught through English, a document from the previous University/Institution attesting completion of the programme is needed. Language certificates currently accepted Prepare a detailed CV. To increase your chances of being selected, it is important to follow the instructions below when writing your CV: Clearly indicate the university (or universities) from which you graduated Clearly indicate the title of your degree Clearly indicate the rank/division/distinction with which you obtained your degree(s) If you are not a graduate in mathematics, list the mathematics courses you took during your studies and the grades you obtained. For each of these courses, clearly indicate the grades obtained and recall the grading system. Selection proce
Tuition & Financial Information
Tuition Fee
400€/semester
About University of Luxembourg
University of Luxembourg
Esch-sur-Alzette, Luxembourg
The University of Luxembourg is a public research university in Esch-sur-Alzette and Luxembourg City, Luxembourg. It was founded in 2003 and is the only public university in Luxembourg.
University Profile- Application Deadline EU: 1 Feb 2026 – 15 Jul 2026 Non-EU: 1 Feb 2026 – 24 Mar 2026 Fees: 400€/ sem. (semester 1,2,3,4) Fo
- Start Date September
- Language English
- Duration 2 years
- Credits 120
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