Course summary
How will government policy decisions affect economic growth? What impact does immigration and migration have on the labour market? How can companies accurately forecast return on investment? Understanding why we do what we do is key to the economist's role, with econometrics allowing us to analyse theoretical models and turn data into actionable information. On our BSc Economics and Econometrics, you will learn how to use statistical and mathematical models to test economic theories through the practical application of real-world data analysis. You will discover how to analyse the complex relations between economic phenomena so that you can accurately predict future trends. You can tailor your studies to your career aspirations through optional modules that allow you to specialise in areas such as economic policy analysis, international trade and behavioural economics. You can also enhance your CV by studying abroad at our campuses in China or Malaysia or with a partner institution in locations like Australia, Canada or Japan. You will graduate with all the knowledge, practical skills and confidence you need to stand out to employers as you start your career.
Modules
Your first year aims to provide you with a solid grounding in introductory economic theory, mathematics and statistics, with emphasis on the relevance of such methods to the study of economic questions of cultural, political and social importance. This is achieved through a range of modules that explore current economic issues and perspectives as well as core modules in mathematical economics and econometrics. Advancing your knowledge of micro and macroeconomics, your second year core modules also cover econometrics. You will focus on econometric theory, establishing a thorough knowledge of the matrix algebra of the general linear regression model and the statistical properties of time series data, models and forecasts. With core modules and a dissertation accounting for half of your third year of study, you will cover both theoretical and applied aspects of econometrics at an advanced level. The core aspects of your final year provide a detailed treatment of the models and techniques used in the analysis of time series and cross section data. Many of these were pioneered by 2003 Nobel Laureate and Nottingham alumnus, Sir Clive Granger. You will also have the opportunity to select additional modules from a wide range of specialist options.
How to apply
This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.
Application codes
- Course code:
- L140
- Institution code:
- N84
- Campus name:
- University Park Campus
- Campus code:
- -
Points of entry
The following entry points are available for this course:
- Year 1
Entry requirements
Qualification requirements
European Baccalaureate - 85%, including 80% in Mathematics. GCSE requirements - English grade A (numeric grade 7).
Unistats information
The student satisfaction data is from students surveyed during the Covid-19 pandemic. The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.
Fees and funding
Tuition fees
Channel Islands | £9250* | Year 1 |
EU | £20500* | Year 1 |
England | £9250* | Year 1 |
Northern Ireland | £9250* | Year 1 |
Scotland | £9250* | Year 1 |
Wales | £9250* | Year 1 |
International | £20500* | Year 1 |
*This is a provisional fee and subject to change.
Additional fee information
Provider information
University of Nottingham
University Park
Nottingham
NG7 2RD
Course contact details
Visit our course pageUndergraduate admissions
+44 (0)115 951 5559