
2-Term Pathway - Foundation Certificate in Science and Health - Continue to Integrated Master of Science (MSci) (Honours) - Actuarial Science and Data Science
Constable Building, University of Essex, Wivenhoe Park, Colchester, United Kingdom
305677
Last updated: 08/05/2025





About 2-Term Pathway - Foundation Certificate in Science and Health - Continue to Integrated Master of Science (MSci) (Honours) - Actuarial Science and Data Science
Program Description
For students who've finished high school but don’t meet the entry requirements for university, a Foundation Certificate can help them gain entry to an undergraduate degree. After completing this pathway option students qualify for progression to the 1st year of an undergraduate degree at the University of Essex.
A student’s course length is determined mainly by their English language level (UKVI IELTS score). Students on all course lengths take a set of common or similar modules to gain a solid base of skills for university. Students taking a course longer than 2 terms, will take additional modules designed to improve one or more of their English language level, academic skills, and basic knowledge of particular subjects.
Master of Science - Actuarial Science and Data Science
Risk is opportunity – being an actuary is a shrewd career choice. This MSci Actuarial Science and Data Science is an Integrated Masters course that will teach students 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.
The attractive blend of actuarial science and data science will equip students 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.
Students will be taught theory and methods used by professional actuaries; on 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. Students will be provided with the crucial basis of core skills in data base programming and management, in developing data processing pipelines and in organising and analysing large and massive data sets. And they’ll be introduced to and use programming language Python and R for statistical analysis and data visualisation. In the third and fourth year, analysing data and methods in group projects will be essential capstone modules for the learning outcomes of the course.
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