Economics and Econometrics at University of Nottingham - UCAS

Course summary

On our BSc Economics and Econometrics, you’ll explore the cutting-edge statistical and mathematical models to test economic theories and analyse real-world data. You'll gain the skills to make accurate predictions about future trends and unlock valuable insights that can drive business decisions. Tailor your studies to your career interests. Choose optional modules that allow you to specialise in areas such as advanced micro econometrics and time series analysis. You’ll study at the Granger Centre for Time Series Econometrics, named in honour of Professor Sir Clive Granger who was awarded the Nobel Prize in Economic Sciences. Sir Clive had a profound influence in the field of time series analysis over almost half a century, becoming one of the most prominent econometricians in the world. Explore exciting career prospects in investment banking, actuarial science, mergers and acquisitions, stock and bond trading. Graduate with the skills essential for success in the modern economy. Our graduates are highly sought after in a variety of sectors. These include finance, international banking, government, consulting and non-profit organisations. Be a part of shaping our global future. Our successful alumni work at top organisations such as Accenture, Bloomberg, Deloitte, J.P. Morgan, Merrill Lynch, U.K. Treasury and the World Bank. 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. 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 multivariate linear regression model and the statistical properties of time series data, models and forecasts. 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. You will also have the opportunity to select additional modules from a wide range of specialist options.


How to apply

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% GCSE requirements - Mathematics grade A (numeric grade 7), unless taking it at A level. LIBF Diploma in Financial Studies grade A,must be combined with A-Levels. Must be combined with A-Level grades A*A, preferably including Mathematics. GCSE requirements - Mathematics grade A (numeric grade 7), unless taking it at A level. We welcome applications from students without A level mathematics. Offers to students without A level mathematics are delayed until the point we have received all applications to our programmes. In the past, all students without A level mathematics (who are predicted to make our entry tariff) have received an offer.


Student Outcomes

Operated by the Office for Students
50%
Employment after 15 months (Most common jobs)
75%
Go onto work and study

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

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Economics and Econometrics at University of Nottingham - UCAS