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Master of Science - MSci
Colchester Campus
Full Time
OCT-26
4 Years
Select a course option
Master of Science - MSci
Colchester Campus
Full Time
OCT-26
4 Years
Master of Science - MSci
Colchester Campus
Full Time
OCT
4 Years
Master of Science - MSci
University of Essex
Full Time
OCT-26
4 Years
Master of Science - MSci
University of Essex
Full Time
OCT
4 Years
Select a an exam type
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
Students living in
Domestic
£9,535 per year
Students from Domestic
This is the fee you pay if you live within Domestic. Please note, this fee has been confirmed.
£9,535 per year
Students from England
This is the fee you pay if you live within England. Please note, this fee has been confirmed.
£9,535 per year
Students from Scotland
This is the fee you pay if you live within Scotland. Please note, this fee has been confirmed.
£9,535 per year
Students from Wales
This is the fee you pay if you live within Wales. Please note, this fee has been confirmed.
£9,535 per year
Students from Northern Ireland
This is the fee you pay if you live within Northern Ireland. Please note, this fee has been confirmed.
£9,535 per year
Students from Channel Islands
This is the fee you pay if you live within Channel Islands. Please note, this fee has been confirmed.
£22,600 per year
Students from EU
This is the fee you pay if you live within the European Union. Please note, this fee has been confirmed.
£22,600 per year
Students from International
This is the fee you pay if you are an International student. Please note, this fee has been confirmed.