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Actuarial Science and Data Science (Integrated Masters)

1 Study option · UndergraduateColchester Campus

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

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.

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