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Actuarial Science and Data Science (Integrated Masters)

Study level:
Undergraduate

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

Apply by
14 January

This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Application codes

Course code:
N399
Institution code:
E70
Campus name:
Colchester Campus
Campus Code:
-

Points of entry

The following entry points are available for this course:

  • Year 1
  • Year 2
  • Year 3

Entry requirements

Qualification requirements

UCAS Tariff - 120 - 128 points

Offers will be made from a minimum of the equivalent of 2 full A-levels including Mathematics or Further Mathematics.. We accept A Levels, BTECs, Access to HE Diploma, International Baccalaureate, T Levels, AAQs and most other qualifications within the UCAS Tariff. Whilst International A-levels and BTECs aren't on the tariff calculator, we assign them the same tariff points as their UK counterparts

Find out more about qualification requirements for this course.

Contextual admissions

Universities and colleges consider more than grades when assessing applications and may make offers based on a range of criteria. Learn more about contextual offers.

We are committed to ensuring that all students with the merit and potential to benefit from an Essex education are supported to do so. We make Contextual Offers, of up to two A-level grades (or equivalent) below our standard conditional offer, to applicants from underrepresented groups residing in the UK.

Learn more on the University of Essex website

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

Tuition fees

LocationFeeYear
England£9535Year 1
Northern Ireland£9535Year 1
Scotland£9535Year 1
Wales£9535Year 1
Channel Islands£9535Year 1
Republic of Ireland£9535Year 1
EU£22600Year 1
International£22600Year 1

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website.

Additional fee information

Fees displayed are for the 2026-27 academic year. Fees may increase for each academic intake and each academic year of study.

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