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Actuarial Science and Data Science (four-year integrated masters), MSci (Hons)

University of Essex, United Kingdom

 
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Ranking in UK

23rd
overall
THE
Computer Science
23rd
Guardian
Mathematics
25th
ARWU
Finance
25th

Costs

Course fees S$35.1K / year
Entertainment, books
food & rent
S$17.1K / year
Beer S$6
MacDonalds S$14
Cinema S$21
Coffee S$6
Total S$52.3K / year

Entry requirements

A Level BBB
Diploma 3.0
International Baccalaureate 33

Scholarships

Essex Global Talent Scholarship
50% for tuition
21 - 50 available
Essex International Baccalaureate Excellence Scholarship
£2000 for tuition
Unlimited quantity
Essex South East Asia Scholarship
£3000 for tuition
Unlimited quantity
Essex Performance Sports scholarships and bursaries
Up to £100 for tuition
Limited quantity
British Chevening Scholarships
100% for tuition and living expenses
Limited quantity

Information

Course
Code
N399
Upcoming
Intakes
Oct 2025
Course
Website (External)
Pathway
Programmes
See pathways
University
Information
WHATSAPP
+65 9650 3225
HOTLINE
+65 6333 1300

Duration

4 years
Graduate
2029
About the course

Our MSci in Actuarial Science and Data Science is an integrated master's program designed to transform risk into opportunity through expertise in data visualization and its applications in actuarial fields and beyond. This course addresses the rising demand for data science professionals by emphasizing the collection, analysis, and interpretation of data to enhance products and services globally. It combines actuarial science with data science to develop skills in real-world financial challenges, efficient experimental design for cost-effective solutions, and essential computing tools for careers in these sectors.Students will learn actuarial theories and methods, applying mathematical and statistical techniques to mitigate financial risks in areas like commerce, government, insurance, and finance. Core competencies include database programming, data processing pipelines, and analysis of large datasets using Python and R for statistical analysis and visualization. In the third and fourth years, group projects serve as key capstone modules. Topics covered encompass contingencies and risk management, computer science, statistics, artificial intelligence, ethical data issues, and advanced skills in big data analytics. This integrated program allows for a fast-tracked final year in nine months, providing a robust theoretical foundation and research expertise that make graduates highly desirable to employers.

A local representative of University of Essex in Singapore is available online to assist you with enquiries about this course.