Actuarial Science and Data Science (Integrated Masters)

Course summary
Our MSci Actuarial Science and Data Science is an Integrated Masters course that will teach you the art of turning risk into opportunity with the understanding of visualising data in actuarial applications and beyond. Such a skillset is crucial for the growing market for experts in data science with the collection and analysis of data being crucial to understanding how to improve, create and guide products and services across the globe.
Our MSci Actuarial Science and Data Science course covers the syllabus of many core subjects of the Institute and Faculty of Actuaries. Depending on your choice of optional modules, and upon sufficient attainment, this can lead to exemptions from the professional exams CS1, CS2, CM1, CM2, CB1 and CB2. Our attractive blend of actuarial science and data science will equip you with an understanding of real-world financial issues, efficient use of experimental design to provide fast and less expensive solutions, and computing skills essential for entering the actuarial and data science profession.
You'll be taught theory and methods used by professional actuaries, learning how to apply mathematical and statistical skills to minimise financial risk when the stakes are high in areas such as commerce, government, insurance and finance. You'll be provided with the crucial basis of core skills in database programming and management, in developing data processing pipelines and in organising and analysing large and massive data sets. And you'll be introduced to and use programming languages Python and R for statistical analysis and data visualisation. In your third and fourth year, analysing data and methods in group projects will be essential capstone modules for the learning outcomes of the course.
Topics include:
-
contingencies, risk management and survival analysis
-
computer science and programming
-
statistics and operations research
-
artificial intelligence, databases and information retrieval
-
ethical issues around the use and processing of data
-
specialist skills in the areas of big data, data analytics and data science
Our Integrated Masters will give you the opportunity to fast-track your degree and complete your final year in nine months, compared with a regular Masters which usually takes twelve months. Combining your undergraduate and postgraduate study in one degree gives you a strong theoretical background as well as specialist expertise through independent research. This combination makes graduates from our course attractive candidates for many employers.
How to apply
Application codes
- Course code:
- N399
- Institution code:
- E70
Chat to student ambassadors
Discover what it's like to study Actuarial Science and Data Science (Integrated Masters) at University of Essex: insights on the course, making friends, personal statement tips, uni prep, and recommended books, podcasts, and videos.
Historical entry grades data BETA
This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.
Not enough data available
We are unable to show previous accepted grades for this course. This could be because the course is new, it's a postgraduate course, there isn't enough historical data, or the provider has opted out of sharing their entry grades data for this course - learn more.
Fees and funding
Choose a specific option to see funding information.
Course optionsUniversity of Essex
Wivenhoe Park
Colchester
CO4 3SQ
Course contact details
Undergraduate Admissions Office
Email:admit@essex.ac.uk
Phone:01206 873666
Fax: 01206 872808
