Masters and Postgraduate Diploma courses
We offer each of our courses as either a Masters (MSc) or a Postgraduate Diploma.
- A Masters course lasts for one year and consists of both taught modules and a dissertation.
- Postgraduate diplomas last from six to nine months. They include the modules and assessed work of a Masters, without a dissertation. Our Diplomas enable you to study
mathematics at a postgraduate level if your undergraduate degree was in a different (but related) field.
We also offer a Graduate Diploma Mathematics which gives you training in basic
mathematics techniques if your first degree contained only a modest amount of mathematics.
All of our Postgraduate Diplomas and most of our Masters courses are full-time. Some of our Masters courses are also offered on a part-time basis.
Our course is based on the syllabus of the majority of the Core Technical subjects of the Institute and Faculty of Actuaries, so
you’ll cover Core Technical subjects as part of your course (CT2 or CT3, depending on the optional module selected, CT4, CT5, CT6, and CT8).
This focus on up-to-date research findings in actuarial methodologies and actuarial applications means that you gain solid training in
actuarial modelling and actuarial analysis. This course is intended for students with a first degree in mathematics, statistics, economics
or finance who would like to acquire knowledge in actuarial science.
Data Science is a growing and important field of study with a fast growing number of jobs and opportunities within the private and
public sector. The theory and methodology of Data Science can be described as the intersection of computer science, statistics and
operations research. The application of theory and methods to real world problems and applications is at the core of Data Science,
which aims especially to use and to exploit Big Data.
A balance of solid theory and practical application, this course builds your knowledge in relevant areas of computer science, statistics,
data analysis and probability.
Discrete Mathematics and its Applications
This course covers many aspects of discrete mathematics and their potential use in practice. The importance of this area was emphasised in the recent International
Review of Mathematics in the UK but our course also provides you with options in optimisation, machine learning/data mining and statistics. Key employment skills you
gain include analytic reasoning, problem solving, techniques of discrete mathematics and an understanding of application areas of these techniques, algorithm design
and implementation, and data analysis.
Mathematics and Finance
This course allows those with a background in mathematics to study finance. Since finance routinely involves modelling and evaluating risk, asset pricing and price
forecasting, mathematics has become an indispensable tool for this study. In recent years, it has been one of the areas where high-calibre mathematicians have been in
great demand. With the advent of powerful, and yet economically accessible computing, individuals now have access to financial markets and online trading has become a
common activity but many have realised that a certain amount of mathematics is necessary to be successful in such fields.
A balance of solid statistical theory and practical application, this course builds your knowledge in all areas of statistics,
data analysis and probability. You also have the opportunity to specialise, taking optional modules in survey methodology,
operations research, applied mathematics, computer science and more. The course culminates in an individual research project,
applying the knowledge you have gained to make a valuable addition to your portfolio.
Statistics and Econometrics
Econometrics can be described as the application of statistics in an economic context. Specialised statistical methods are required to deal with the particular
problems of economic data and these are reflected in our modules for this course, many of which are given by staff from our Department of
Economics. For instance, Time Series Econometrics provides you with methods for analysing the dynamic processes that are often found in macroeconomics, while
Empirical Methods of Economics and Finance introduces you to techniques for analysing stock market and other financial data.
Statistics and Operational Research
This course enables you to specialise in various aspects of optimisation (both continuous and discrete) and in the advanced study in statistics (including
experimental design and linear models). We offer optional modules in machine learning, heuristic computation and time series econometrics. Your exposure to current
active research areas, such as decomposition algorithms on our module, Combinatorial Optimisation, prepares you for further study at doctoral level. Graduates of
this course now hold key positions in government, business and academia.