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MSc PG Dip Actuarial Science with Data Analytics

  • DeadlineStudy Details:

    MSc/PGDip 9 months-1 year full-time

Course Description

Problem solver. Business analyst. Risk assessor. An actuary wears many hats, but that’s what makes a career in the field so rewarding. With a qualification in actuarial science and data analysis, you’ll have the skills to make your mark in a range of industries.

This programme is for you if you want to kick-start your actuarial career and gain the skills to apply data analytics to solve real business problems. 

Whether you have yet to start the actuarial professional exams, or you have already passed some of the Core Principles subjects you will be able to choose a route that maximises your potential exemptions from the IFoA exams. In some cases you will be able to finish with all the exams needed to become a fully-qualified actuary as an Associate member of the IFoA (Qualification as an Associate requires two years' work experience qualifying for PPD, successfully completing the online Professional Skills Course, and successfully completing the online CB3 course and assessment.)

Entry Requirements

At least a 2:1 in a relevant subject (Mathematics, Statistics, Sciences, Economics). We will consider graduates from other subjects on an individual basis - students will need to demonstrate their ability in mathematics is at an appropriate level if do not have at least a B at A-level.

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Fees

For fees and funding options, please visit website to find out more.

Programme Funding

There are a number of possible sources of funding: loans and grants, bursaries and scholarships.

Student Destinations

You will be well-placed to work in the worlds of insurance, pensions, healthcare, banking, business management and risk assessment. You will be equipped with mathematical and statistical knowledge and problem-solving skills to help businesses and institutions evaluate the long-term financial implications of the decisions they make.

We aim to develop graduates who:

  • are comfortable with data and manipulating it
  • have great team working skills
  • can communicate persuasively in speech and writing
  • know why they are in an organisation and what they can contribute

Module Details

MSc

Core module

  • Fundamentals of Data Science

Option modules

Choose three option modules from:

  • Actuarial Modelling 1 (CM1)
  • Markov Processes (CS2)
  • Statistical Distributions and Inference (CS1)
  • Financial Engineering for Actuaries (CM2)
  • Financial Risk Management (CB2)
  • Actuarial Professional Skills and Employability
  • Operational Research
  • Fundamentals of GIS*

* must be chosen if wishing to select Geospatial Data Analytics from the list below

Plus four option modules from:

  • Business Finance (CB1)
  • Actuarial Modelling 2 (CM1)
  • Survival Models (CS2)
  • Statistical Data Analysis (CS1)
  • Liability Modelling (CM2)
  • Financial Risk Management (CB2)
  • Generalised Linear Models
  • Introduction to Functional Data Analysis
  • Data Mining and Neural Networks
  • Actuarial Practice Workshop**
  • Geospatial Data Analytics*

* must have chosen Fundamentals of GIS from the earlier list

** Actuarial Practice Workshop is a prerequisite for Actuarial Practice

Summer modules

Core modules

  • Actuarial Communications Project (CP2 and CP3)

Option modules

Choose one option module from:

  • Business Economics (CB2)
  • Actuarial Practice (CP1)**
  • Readings about Green Economics

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