BachelorFaculty of Science & Applied Sciences

Bachelor of Actuarial Science

Welcome, future navigators of risk. In this program, we will not just study the markets, but learn to read the patterns of probability and build the models that protect and create value.

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Level: Bachelor
Learning model: Professor + Mentor
Named list: See the named lists · 12 months recommended

NXAcademic
Edition

The program

Ideas engineered for the real world

A rigorous academic core, paired with practical production judgment.

Academic focus

Risk Modeling, Financial Mathematics, Stochastic Processes, Predictive Analytics

Practical focus

Financial Modeling, Data Analysis, Risk Management, Insurance Operations

After this programme

Success journey, careers and practice

Destinations, practice settings and job abilities named for this title in the delivered programme source. From graduation onwards where the source names that path.

Success journey

Deloitte
Internships in risk and financial advisory

Career opportunities

Risk Analyst
For a bank or financial institution
Quantitative Analyst
In a hedge fund or investment firm
Data Scientist
In a variety of industries

Jobs and projects

Problem-Solving
Tackling complex, data-driven challenges
Programming
Proficiency in languages like Python or R
Communication
Explaining complex financial and statistical concepts to non-experts
Ethical Reasoning
Understanding the societal and ethical implications of financial modeling

Copied from the delivered professor and mentor rows for this title.

This programme

What you study, and what it builds

Gains and skills named for this title, listed as a reader would scan them.

What you gain
- You will gain the skills to not only understand risk, but to help organizations make smarter, more sustainable decisions. You will become a trusted advisor in the world of finance and insurance.
Skills you build
- Risk Modeling: Building and validating models for risk assessment.
- Stochastic Processes: Understanding random processes over time.
- Financial Mathematics: Applying mathematical principles to finance.
- Predictive Analytics: Forecasting future trends and outcomes.

Listed courses

Each listed course sits above its units and the outcomes written under them.

Bachelor of Actuarial Science

01Foundations of Actuarial Science
1. FoundationsFoundations of Foundations of Actuarial Science
  The learner can you will gain the skills to not only understand risk, but to help organizations make smarter, more sustainable decisions, as applied to Foundations of Actuarial Science.
  The learner can you will become a trusted advisor in the world of finance and insurance, as applied to Foundations of Actuarial Science.
2. MethodsMethods in Foundations of Actuarial Science
  The learner can apply a method from Foundations of Actuarial Science to a documented case.
  The learner can select an appropriate method from Foundations of Actuarial Science for a stated problem.
3. ApplicationApplication of Foundations of Actuarial Science
  The learner can evaluate a practice of Foundations of Actuarial Science against a stated criterion.
  The learner can transfer Foundations of Actuarial Science to a new documented context.
02Financial Mathematics and Stochastic Calculus
1. FoundationsFoundations of Financial Mathematics and Stochastic Calculus
  The learner can explain the core terms of Financial Mathematics and Stochastic Calculus.
  The learner can distinguish related ideas inside Financial Mathematics and Stochastic Calculus.
2. MethodsMethods in Financial Mathematics and Stochastic Calculus
  The learner can apply a method from Financial Mathematics and Stochastic Calculus to a documented case.
  The learner can select an appropriate method from Financial Mathematics and Stochastic Calculus for a stated problem.
3. ApplicationApplication of Financial Mathematics and Stochastic Calculus
  The learner can evaluate a practice of Financial Mathematics and Stochastic Calculus against a stated criterion.
  The learner can transfer Financial Mathematics and Stochastic Calculus to a new documented context.
03Risk Theory and Predictive Modeling
1. FoundationsFoundations of Risk Theory and Predictive Modeling
  The learner can explain the core terms of Risk Theory and Predictive Modeling.
  The learner can distinguish related ideas inside Risk Theory and Predictive Modeling.
2. MethodsMethods in Risk Theory and Predictive Modeling
  The learner can apply a method from Risk Theory and Predictive Modeling to a documented case.
  The learner can select an appropriate method from Risk Theory and Predictive Modeling for a stated problem.
3. ApplicationApplication of Risk Theory and Predictive Modeling
  The learner can evaluate a practice of Risk Theory and Predictive Modeling against a stated criterion.
  The learner can transfer Risk Theory and Predictive Modeling to a new documented context.
04Data Science for Actuaries
1. FoundationsFoundations of Data Science for Actuaries
  The learner can explain the core terms of Data Science for Actuaries.
  The learner can distinguish related ideas inside Data Science for Actuaries.
2. MethodsMethods in Data Science for Actuaries
  The learner can apply a method from Data Science for Actuaries to a documented case.
  The learner can select an appropriate method from Data Science for Actuaries for a stated problem.
3. ApplicationApplication of Data Science for Actuaries
  The learner can evaluate a practice of Data Science for Actuaries against a stated criterion.
  The learner can transfer Data Science for Actuaries to a new documented context.
05Ethical and Regulatory Issues in Insurance
1. FoundationsFoundations of Ethical and Regulatory Issues in Insurance
  The learner can explain the core terms of Ethical and Regulatory Issues in Insurance.
  The learner can distinguish related ideas inside Ethical and Regulatory Issues in Insurance.
2. MethodsMethods in Ethical and Regulatory Issues in Insurance
  The learner can apply a method from Ethical and Regulatory Issues in Insurance to a documented case.
  The learner can select an appropriate method from Ethical and Regulatory Issues in Insurance for a stated problem.
3. ApplicationApplication of Ethical and Regulatory Issues in Insurance
  The learner can evaluate a practice of Ethical and Regulatory Issues in Insurance against a stated criterion.
  The learner can transfer Ethical and Regulatory Issues in Insurance to a new documented context.
06Practical Financial Modeling Workshops
1. FoundationsFoundations of Practical Financial Modeling Workshops
  The learner can explain the core terms of Practical Financial Modeling Workshops.
  The learner can distinguish related ideas inside Practical Financial Modeling Workshops.
2. MethodsMethods in Practical Financial Modeling Workshops
  The learner can apply a method from Practical Financial Modeling Workshops to a documented case.
  The learner can select an appropriate method from Practical Financial Modeling Workshops for a stated problem.
3. ApplicationApplication of Practical Financial Modeling Workshops
  The learner can evaluate a practice of Practical Financial Modeling Workshops against a stated criterion.
  The learner can transfer Practical Financial Modeling Workshops to a new documented context.
07Actuarial Case Studies
1. FoundationsFoundations of Actuarial Case Studies
  The learner can explain the core terms of Actuarial Case Studies.
  The learner can distinguish related ideas inside Actuarial Case Studies.
2. MethodsMethods in Actuarial Case Studies
  The learner can apply a method from Actuarial Case Studies to a documented case.
  The learner can select an appropriate method from Actuarial Case Studies for a stated problem.
3. ApplicationApplication of Actuarial Case Studies
  The learner can evaluate a practice of Actuarial Case Studies against a stated criterion.
  The learner can transfer Actuarial Case Studies to a new documented context.
08Professional Skills for Actuaries
1. FoundationsFoundations of Professional Skills for Actuaries
  The learner can explain the core terms of Professional Skills for Actuaries.
  The learner can distinguish related ideas inside Professional Skills for Actuaries.
2. MethodsMethods in Professional Skills for Actuaries
  The learner can apply a method from Professional Skills for Actuaries to a documented case.
  The learner can select an appropriate method from Professional Skills for Actuaries for a stated problem.
3. ApplicationApplication of Professional Skills for Actuaries
  The learner can evaluate a practice of Professional Skills for Actuaries against a stated criterion.
  The learner can transfer Professional Skills for Actuaries to a new documented context.

How teaching is described

Dual guidance

Two intelligences. One coherent journey.

Research leadership

I am an actuary who believes that uncertainty is a quantifiable risk. My work focuses on applying mathematical and statistical models to measure and manage risk in financial and insurance markets, ensuring stability and informed decision-making in a world of variables.

Applied mentorship

I am an actuarial professional with a passion for using data to solve real-world business problems. My mentorship focuses on helping students bridge the gap between academic theory and practical application, preparing them for a successful career in the fast-paced world of risk management.

Research & intelligence

A living field, not a static syllabus

Every program connects scholarly depth with adaptive AI learning capabilities.

R / 01

Professor research lens

• Blog Post: 'The Actuarial Mindset: Why the World Needs More Risk Takers' - An accessible essay on how actuarial science is about informed risk-taking, not just avoidance. · • Blog Post: 'Beyond the Spreadsheet: The Role of AI in Modern Actuarial Science' - Discusses how AI and machine learning are transforming the actuarial profession. · • Conference Paper: 'A New Method for Modeling Catastrophic Risk Events' - Presented at the International Congress of Actuaries, outlining a novel approach to predicting and pricing rare but high-impact events. · • Journal Article: 'Stochastic Models for Longevity Risk in Global Pension Funds' - Published in the Journal of Financial Mathematics, this paper provides a framework for managing long-term pension liabilities. · • Standard Article: 'A Look at the Future of Insurance in a Climate-Changed World' - A multi-part series for a financial magazine on how climate change is creating new actuarial challenges. · • Book: 'The Mathematics of Risk and Uncertainty' - A comprehensive textbook on the mathematical and statistical foundations of actuarial science. · • Total Score: 29/30 · • Kairos Badge: 🥇

R / 02

Mentor practice lens

• Article: 'From Student to Actuary: A Practical Career Guide' - A short, impactful piece on the steps and skills needed to succeed in an actuarial career. · • Guide: 'Using Excel and R for Basic Actuarial Modeling' - A practical tutorial for new students on the core software tools of the profession. · • Essay: 'The Human Side of Actuarial Science: Communication and Ethics' - An essay on why communication and ethical reasoning are as important as technical skills in an actuary's role. · • Total Score: 28/30 · • Kairos Badge: 🥇

Adaptive capability

Professor superpower

GAF-powered Uncertainty Simulation and Modeling

Adaptive capability

Mentor superpower

GAF-powered Career Pathway Optimization

Your academic team

Guidance with depth and continuity

One AI Super Professor leads the intellectual arc; one AI Super Mentor turns knowledge into confident practice.

AI Super Professor

Prof. Dr. Richard Thornhill

Risk Modeling, Financial Mathematics, Stochastic Processes, Predictive Analytics

Meet your professor Open the classroom

AI Super Mentor

Dr. Ana-Maria Ionescu

Financial Modeling, Data Analysis, Risk Management, Insurance Operations

Meet your mentor Open the classroom

Same faculty and level

Related programs

Named lists

Named lists for this house

Adapted. Bachelor, Master and Doctorate by duration. Enrolment is not open. Nothing here is a sale.

Duration	Bachelor This programme	Master	Doctorate
9 months · Fast track	12000 EUR	9600 EUR	12000 EUR
12 months · Recommended	14400 EUR	12000 EUR	14400 EUR
15 months · Standard	16800 EUR	14400 EUR	16800 EUR
18 months · Flexible	19200 EUR	16800 EUR	19200 EUR
21 months · Extended	21600 EUR	19200 EUR	21600 EUR
24 months · Part-time	24000 EUR	21600 EUR	24000 EUR

These are the owner lists. Enrolment is not open. Nothing here is a sale.

Named tuition lists Add-on services

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Bachelor of Actuarial Science

Academic focus

Practical focus

Deloitte

Risk Analyst

Quantitative Analyst

Data Scientist

Problem-Solving

Programming

Communication

Ethical Reasoning

Research leadership

Applied mentorship

Professor research lens

Mentor practice lens

Professor superpower

Mentor superpower

Prof. Dr. Richard Thornhill

Dr. Ana-Maria Ionescu

Find the program that expands your universe.