Bayes Business School, City St George's, University of London
MSc in Actuarial Science with Business Analytics
London, United Kingdom
MSc
DURATION
12 months
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
Sep 2027
TUITION FEES
GBP 26,500 *
STUDY FORMAT
On-Campus
* for international students | UK/Home students: GBP 16,800
Key Summary
About: The MSc in Actuarial Science with Business Analytics at Bayes Business School combines actuarial training with business analytics and data science. Designed for numerically strong graduates, it builds programming skills in R and Python and teaches advanced analytics, modeling, and problem-solving for insurance, pensions, risk management and financial services. Bayes holds AACSB, AMBA, and EQUIS accreditation.
Career Outcomes: The MSc prepares you for actuarial roles in insurance, pensions, risk management, financial modeling and consultancies, for actuarial data science and analytics roles across financial services, consulting and technology. Graduates work as Pricing Analyst, Reserving Analyst and Actuarial Analyst at firms.
This MSc is designed for numerically strong graduates who want to pursue a career as an actuary while gaining cutting-edge skills in business analytics and data science. You’ll thrive here if you are ambitious, quantitative, and eager to apply advanced analytics techniques to solve real-world problems in insurance. You’ll also develop programming skills in R and Python, applying creativity and problem-solving to enhance actuarial modelling. Typical career ambitions include qualifying as an actuary, specialising in actuarial data science, or applying business analytics across financial services, consulting, technology, and other analytics sectors.
Pre-Study Modules
- Introduction to R Programming
- Introduction to Python Programming
Both programming modules are designed to provide a fundamental understanding of R and Python. You are encouraged to undertake these modules so that you can get the most out of your degree. Completing these two modules will also help you with the computer-based elements of the CM and CS subjects.
Term 1
Compulsory Modules
- Analytics Methods for Business (non-exemption module)
- Financial Mathematics (CM1(1))
Elective Modules
- Probability and Mathematical Statistics (CS1)
- Finance and Financial Reporting (CB1)
- Business Economics (CB2)
Term 2
Compulsory Modules
- Machine Learning (non-exemption module)
- Contingencies (CM1(2))
Elective Modules
- Financial Economics (CM2)
- Insurance Risk Modelling (CS2)
Students with a prior exemption from CM1 may also be exempted from Bayes CM1(1) and CM1(2), subject to the provision of evidence of the prior exemption. However, they will be required to replace these with other term 1 and 2 modules.
Term 3
To complete the MSc in Actuarial Science with Business Analytics, you have several options in your third term:
- Five electives plus Career Management Skills and Research Methods
- Three electives and a General Research Project
- Modelling Practice (CP2), Professional Communication (CP3), Career Management Skills and Research Methods and two elective modules.
For each option, at least two electives should be chosen from:
- Applied Machine Learning
- Applied Natural Language Processing
- Advanced Predictive Analytics
The following are also required:
- Modelling Practice (CP2)
- Professional Communication (CP3)
- General Research Project
- Career Management and Research Skills
- Bayes Business School is among the global elite of business schools that hold the gold standard of 'triple crown' accreditation from AACSB, AMBA and EQUIS
- 5th in the UK for business and management research. A total of 92 per cent of our research was rated as world-leading (4*) or internationally excellent (3*) (The Research Excellence Framework 2021)
- 2nd best in London, 6th in the UK, 34th in Europe (Financial Times European Business School ranking 2025)
- 5th in the UK for Finance Research, 8th in the UK for Management (ShanghaiRanking's Global Ranking of Academic Subjects 2024)
- 1st in Europe for Actuarial Science research (UNL Business School Actuarial Science Rankings 2024)
By the end of this course, you will be able to:
- Apply mathematical, probabilistic, and modelling techniques to solve real actuarial and business problems.
- Develop advanced expertise in life contingencies, insurance risk modelling, finance and investment.
- Acquire a powerful blend of core actuarial foundations and frontline analytics skills.
- Gain hands-on competence in R and Python and data tools.
- Develop mastery of modern analytics methods including machine learning, predictive analytics, natural language processing, and business analytics methods.
- Build the knowledge and exemptions needed to progress towards qualification as a fellow actuary.
The MSc Actuarial Science with Business Analytics equips you with the skills and connections for a rewarding career in actuarial roles within insurance, pensions, risk management, financial modelling, and consultancies, with graduates working both in the UK and internationally.
Graduates have secured roles including Pricing Analyst, Reserving Analyst, Graduate Associate, Trainee Actuarial Consultant, ESG Analyst, and Actuarial Analyst at employers such as KPMG, AIG, AON, Samsung Life Insurance, Pacific Life Re, Vitality, and Canada Life.
You will also have access to alumni panels, industry and office visits, careers fairs, industry overviews, guest speakers, company presentations, and workshops throughout the year.
Further opportunities to network and learn alongside like-minded peers are available through business clubs such as Business Analytics and AIR-Q.