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MSc - Master of Science
Actuarial Science Statistical Analysis
Actuaries provide assessments of financial security systems, with a focus on their complexity, their mathematics, and their mechanisms. Actuaries quantify the probability and manage the risk of future events in areas such as insurance, healthcare, pensions, investment, and banking and in non-financial areas. This course is taught by the Department of Mathematical Sciences and is intended for students with a first degree in mathematics, statistics, economics, or finance who would like to acquire knowledge in actuarial science.
Our MSc Actuarial Science course is based on the syllabus of most of the core subjects of the Institute and Faculty of Actuaries, so you’ll cover subjects as part of your course CB1 (Business Finance) depending on the optional module selected, CM2 (Financial Engineering and Loss Reserving) and CS2 (Risk Modelling and Survival Analysis). This focus on up-to-date research findings in actuarial methodologies and actuarial applications means that you gain a solid training in actuarial modelling and actuarial analysis.
As part of our Department of Mathematical Sciences you’re a member of an inclusive and approachable research community with an international reputation in many areas including semi-group theory, optimisation, probability, applied statistics, bioinformatics, and mathematical biology.
We are genuinely innovative, and student focused. Our research groups are working on a broad range of collaborative areas tackling real-world issues. Here are a few examples:
For this course (per year)
For this course (per year)
We will consider applicants with a 2:2 degree in one of the following subjects: Mathematics, Statistics, Operational research, Computer Science, Applied Mathematics, Pure Mathematics, Biostatistics, Economic Statistics, Statistics, Economics OR a 2.2 degree in any subject which includes one module in: Calculus, Maths, Engineering Maths, Advanced Maths and one module in Statistics or Probability, Maths, Engineering Maths, Advanced Maths and one additional relevant module, from Algebra, Analysis, Programming language (R, Matlab or Python), a second module in Probability or Statistics, Numerical Methods, Complex Numbers, Differential Equations, Optimisation (Linear Programming), Regression, Stochastic Process, Maths, Engineering Maths, Advanced Maths. Applicants with a degree below 2:2 or equivalent will be considered dependent on any relevant professional or voluntary experience and previous modules studied.
The University of Essex is a hub of innovation and stereotype-breaking success. It offers students a fantastic academic experience, and a fresh way of thinking about some of the key challenges faced by society today. The university delivers an impressive selection of postgraduate courses at a number of levels, including master’s programmes, doctoral degrees, research positions and short courses for continued professional development. The...more