IELTs 6.5 with minimum of 5.5 in each component
You will need an undergraduate degree equivalent to a UK undergraduate honours degree (2.2 or above) in one of the following fields: economics, business, management, finance or another social science-related subject (containing quantitative methods at level 1 as a minimum), or a quantitatively-based subject such as science, engineering or maths.
All applicants will be required to demonstrate a commitment to the subject they wish to study and should demonstrate how their chosen programme of study will benefit them in their future career.
One academic reference.
Our MSc Economics degree has been designed to give you an in-depth understanding of economic concepts, principles and techniques by focusing on the application of economics to contemporary real-world issues.
You will be encouraged to think like an economist through the application of economic ideas and methods drawn from a range of alternative perspectives. The emphasis of this degree is on the application of versatile tools, techniques and methods of thought which are distinctively associated with professional economists.
You will have the opportunity to work hands-on with economic tools and techniques, including the use of our state-of the-art Business Lab - a real-time trading environment. You will learn how to access economic phenomena, using theory and evidence to draw insights into the underlying causes and importantly their impact on people, businesses and the wider society.
In your third semester, you’ll choose an experiential project. With the opportunity to use your skills in a real-world setting, you can choose from completing a consultancy experience project, an internship experience project, a business research project or a global experience project.
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Modules
Semester One
Behavioural Applications in Economics and Finance (20 credits)
Using Quantitative Data in Economic Analysis (20 credits)
Contemporary Issues in Economics (20 credits)
Semester Two
International Trade and Investment (20 credits)
Economic Evaluation Techniques (20 credits)
Economic Analysis of Global Issues (20 credits)
Semester Three
Consultancy Experience Project (40 credits)
Internship Experience Project (40 credits)
Business Research Project (40 credits)
Ongoing Learning
Transformational Leadership Development (10 credits)
Research Methods for Economists (10 credits)
Placement Diploma in Industrial Experience (2 year course only)
At Nottingham Business School, we’re focused on your employability from the start of your postgraduate degree. We provide you with a learning experience that integrates theory and practice.
Graduates from this course have gone onto roles within the public, private and third sector, undertaking positions such as:
Consultant
Economic Researcher
Investor Relations Manager
Banking Supervisor
Financial Analyst
Employability Team
We have a dedicated Employability Team who not only help you during your time with us but also following graduation, they’ll continue to support you by providing a number of services that will help kick-start your career.
Our Employability Team offer a wide range of support from one-to-one appointments with our specially trained consultants, to arranging recruitment fairs and skill building workshops.
Services they provide include:
Finding placements, internships and part-time work
Helping you to pursue self-employment
Advice on taking gap years and time out
Information and help on getting into volunteering
Providing advice on further study.
As a student you will have access to our virtual learning environment, where you will be able to get in touch with our Employability team for CV support, application, interview and job hunting advice, career ideas and employer videos.
You can visit the Employability Team on your local campus every day during term time. They are also open outside of term time too, except on University closure days. So drop in, say hello, and get help with quick enquiries or book an appointment with a careers consultant from your school.
Insurance – Single: 300 GBP per year
