This course is ideal if you would like to pursue a career in which the application of econometric methods plays a major role – such as market research, evidence-based planning and policy advice, or financial modelling and forecasting – or if you would like to enter a PhD programme. It focuses on the application potential of a broad range of econometric techniques and the effective communication of empirical results, rather than the statistical theory upon which econometric methods depend.
Workshops will enable you to put the techniques you have learned into practice.
You can either use your professional circumstances as research material for your dissertation in collaboration with your employer, or you can use the dissertation to demonstrate your professional development to future employers.
The taught modules aim to prepare you for the job market. Alongside your academic studies, you will gain skills in problem-solving and organisation; data collation, review and synopsis; communication (oral, written and electronic); time management; computing; and co-operation and teamwork.
You will have the opportunity to attend a range of workshops, conferences and presentations by guest speakers.
What will you study?
You will study core econometric concepts and methods alongside modules that focus on different application contexts, such as time-series analysis, microeconometrics, financial econometrics, macroeconometric modelling and business forecasting. You will also develop your computing and communication skills. You will then write a dissertation to show evidence of your knowledge, skills and abilities to undertake complex, self-managed tasks with tight deadlines.
Please note that this is an indicative list of modules and is not intended as a definitive list.
- Econometrics - Econometrics Dissertation - Macroeconomic Modelling and Forecasting - Topics in Applied Econometrics - Time-Series and Financial Forecasting Methods
All modules are core.
To include: essays, small research reports, practical exercises, formal examinations, and final dissertation.
What this course offers you
If you choose to study this course, here are some of the things you can expect from the course and how it will benefit you.
This course is designed for those who wish to pursue a career or further study in which the application of statistical methods, particularly econometric methods, plays a large role. Examples of the application focus could include: market research; evidenced-based planning and policy advice; or financial modelling and forecasting.
Econometrics is distinguished from statistical analysis more generally by its use of economic concepts and theories as a basis for empirical investigation. The approach taken in this course is to emphasise: the application potential of a broad range of econometric techniques; and effective communication of empirical results, rather than the statistical theory upon which econometric methods depend.
Teaching staff are research-active, which keeps your learning cutting-edge. The taught modules aim to prepare you for the job market. Alongside your academic studies, you gain skills in: problem solving and organisation; data collation, review and synopsis; communication (oral, written and electronic); time management; computing; and co-operation and teamwork. We offer a part-time option to help you fit your studies around other commitments.
English language requirements
All non-UK applicants must meet our English language requirement, which is Academic IELTS of 6.5 overall, with no element below 5.5. Make sure you read our full guidance about English language requirements, which includes details of other qualifications we consider.
Applicants who do not meet the English language requirements could be eligible to join our pre-sessional English language course.
Applicants from a recognised majority English speaking countries (MESCs) do not need to meet these requirements.
We expect students to have a second class degree or above, or equivalent, in economics or another area where quantitative methods or economics have been studied to an appropriate standard. Students with extensive relevant professional experience will also be considered.
Recipient: Kingston University
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