PG Diploma Statistics and Econometrics
Postgraduate
In Colchester
Description
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Type
Postgraduate
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Location
Colchester
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Duration
9 Months
About the course
Specialised statistical methods are hugely important in dealing with particular problems of economic data
For instance, time series econometrics provides methods for analysing the dynamic processes that are often found in macroeconomics, while other techniques are required for analysing the stock market and other financial data
Econometrics can be described as the application of statistics in an economic context so this course will interest you if your first degree included some training in both statistics and economics
Postgraduate Diplomas last for six to nine months (full-time) and include the modules and assessed work of a Masters, without a dissertation
This allows you to proceed to a Masters in mathematics if your undergraduate degree was in a different subject
On our Postgraduate Diploma in Statistics and Econometrics, you study topics including:
Methods of linear regression and hypothesis testing
Bayesian statistical modelling and methods
Actuarial modelling and time series models
Applied statistics
Game theory
Our Department of Mathematical Sciences has an international reputation in many areas including semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology
You are also taught within our Department of Economics, who are rated consistently highly for student satisfaction and are top 5 in the UK for research, with over 90% of their research rated as ‘world-leading’ or ‘internationally excellent’ (REF 2014)
Facilities
Location
Start date
Start date
Reviews
Subjects
- Statistics
- Economics
- Financial
- Financial Training
- GCSE Mathematics
- Mathematics
Course programme
Postgraduate study is the chance to take your education to the next level. The combination of compulsory and optional modules means our courses help you develop extensive knowledge in your chosen discipline, whilst providing plenty of freedom to pursue your own interests. Our research-led teaching is continually evolving to address the latest challenges and breakthroughs in the field, therefore to ensure your course is as relevant and up-to-date as possible your core module structure may be subject to change.
For many of our courses you’ll have a wide range of optional modules to choose from – those listed in this example structure are, in many instances, just a selection of those available. Our Programme Specification gives more detail about the structure available to our current postgraduate students, including details of all optional modules.
Year 1
Modelling Experimental Data (optional)
Statistical Methods (optional)
Stochastic Processes (optional)
Applied Statistics (optional)
Bayesian Computational Statistics (optional)
Research Methods
Mathematics of Portfolios (optional)
Financial Derivatives (optional)
Partial Differential Equations (optional)
Econometric Methods (optional)
Economics of Financial Markets (optional)
Game Theory and Applications (optional)
Time Series Econometrics (optional)
Panel Data Methods (optional)
Teaching
Core components can be combined with optional modules, to enable you to gain either in-depth specialisation or a breadth of understanding
Learn to use LATEX to produce a document as close as possible to what professional mathematicians produce in terms of organisation, layout and type-setting
Our postgraduates are encouraged to attend conferences and seminars on a Thursday afternoon
Assessment
Courses are assessed on the results of your written examinations, together with continual assessments of your practical work and coursework
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Additional information
PG Diploma Statistics and Econometrics