Develop the skills you need to tackle today’s economic problems with big data. Apply theory to real-world economic situations and exploit big data to guide your economic decisions in finance, government, entertainment, or industry. Data science in economics teaches programming, artificial intelligence, and machine learning.
Our economists place a particular emphasis on making economics relevant to the real world. Consider the dilemmas facing households, firms, and governments, and develop the skills to analyse and discuss crucial areas such as poverty and economic growth, developing economies, environmental protection, and financial and monetary crises.
Shape your degree outside the classroom with our thriving student led societies. Kent Invest focusses on financial markets holding an annual trading competition. The Economics Society explores issues of the moment through the lens of the discipline, culminating in an annual networking conference.
Learn how economists think and become familiar with the tools they use for analysing real economic problems. Study modules in macroeconomics, microeconomics together with specific modules on computation, machine learning and big data. You are challenged to contribute and defend your own theories and solutions.
Tailor your degree with our wide range of optional modules to support your career ambitions.
Year in Industry students have previously worked at: Bank of England; Government Economic Service (GES); Deloitte; Ernst & Young; PwC; and Organisation for Economic Co-operation and Development (OECD).
The University will consider applications from students offering a wide range of qualifications. All applications are assessed on an individual basis but some of our typical requirements are listed below. Students offering qualifications not listed are welcome to contact our Admissions Team for further advice. Please also see our general entry requirements.
BBC from three full A levels including Mathematics. Applicants who have not studied A level Mathematics but hold GCSE Mathematics at grade 6 or higher will be considered on a case-by-case basis.
The University welcomes applications from Access to Higher Education Diploma candidates for consideration. A typical offer may require you to obtain a proportion of Level 3 credits in relevant subjects at merit grade or above.
The University will consider applicants holding BTEC National Diploma and National Extended Diploma qualifications (QCF; NQF; OCR) on a case-by-case basis.
30 points overall or 15 points at HL, including HL Mathematics or Maths: Analytics and Approaches at 5.
Pass all components of the University of Kent International Foundation Programme with a 60% overall average.
The University will consider applicants holding T level qualifications in subjects closely aligned to the course.
If you are an international student, visit our International Student website for further information about entry requirements for your country, including details of the International Foundation Programmes. Please note that international fee-paying students who require a Student visa cannot undertake a part-time programme due to visa restrictions.
Please note that meeting the typical offer/minimum requirement does not guarantee that you will receive an offer.
Please see our English language entry requirements web page.
Please note that if you do not meet our English language requirements, we offer a number of 'pre-sessional' courses in English for Academic Purposes. You attend these courses before starting your degree programme.
Duration: 4 years full-time
The following modules are indicative of those offered on this programme. This listing is based on the current curriculum and may change year to year in response to new curriculum developments and innovation. On most programmes, you study a combination of compulsory and optional modules. You may also be able to take ‘elective’ modules from other programmes so you can customise your programme and explore other subjects that interest you.
You take all compulsory modules and then either Mode A or Mode B from the list of optional modules depending on your existing level in Mathematics.
Compulsory modules currently include
EC304 - Principles of Economics (30 credits)
EC309 - Statistics for Economics (15 credits)
EC314 - Data Analysis for Economists (15 credits)
CO359 – Programming for Artificial Intelligence (Python programming) (15 credits) This is a new module - information available soon
Compulsory modules currently include
EC500 - Microeconomics (30 credits)
EC502 - Macroeconomics (30 credits)
EC580 - Introduction to Econometrics (15 credits)
EC581 - Introduction to Time-Series Econometrics (15 credits)
ECXXX - Modelling and Computation for Economists (15 credits) This is a new module - information available soon
MA5956 – Big Data and Other Analytical Techniques (15 credits)
Optional modules may include
EC305 - Mathematics for Economics Mode A (15 credits)
EC306 - Mathematics for Economics Mode B (15 credits)
You have the opportunity to select elective modules in this stage.
Compulsory modules currently include
EC543 - Econometrics 2: Topics in Time Series (15 credits)
ECXXX – Machine Learning for Economists (15 credits) This is a new module - information available soon
Optional modules may include
EC541 - Economics Dissertation (30 credits)
EC565 - Extended Economics Essay (15 credits)
EC569 - Economic Growth (15 credits)
EC570 - Microeconomics of Development (15 credits)
EC538 - Economic Controversies (15 credits)
EC540 - Development Economics (15 credits)
EC534 - The Economics of Money and Banking (15 credits)
EC585 - Mathematical Economics (15 credits)
EC603 - Financial Crises (15 credits)
EC583 - Political Economy (15 credits)
EC582 - The Economics of Human Capital (15 credits)
EC544 - Economic Integration in the EU (15 credits)
EC545 - Economics of the Labour Market (15 credits)
EC546 - Games for Economics and Business (15 credits)
EC547 - Industrial Economics (15 credits)
EC548 - International Finance (15 credits)
EC549 - International Trade (15 credits)
EC550 - Monetary Economics (15 credits)
EC553 - Public Economics (15 credits)
EC563 - Financial Economics and Asset Pricing (15 credits)
EC531 - Policy Analysis (15 credits)
EC631 - Applied Environmental Economics (15 credits)
The 2023/24 annual tuition fees for this course are:
For details of when and how to pay fees and charges, please see our Student Finance Guide.
For students continuing on this programme, fees will increase year on year by no more than RPI + 3% in each academic year of study except where regulated.*
The University will assess your fee status as part of the application process. If you are uncertain about your fee status you may wish to seek advice from UKCISA before applying.
All modules are taught by a combination of lectures and small group sessions. These small groups can include workshops, seminars, computer terminal classes, problem-based classes, peer teaching, student presentations, debates, role play, experiments, group work, students own guided work, 1-2-1 supervision, VLE based learning activities and research projects.
In addition, all staff are accessible for student consultations for two hours a week outside direct teaching time.
On average, you have a total of 12-14 hours of lecture, seminar and other formal contact time per week.
The School of Economics is committed to making sure that you leave Kent with much more than just a degree in Economics. We put great emphasis on the development of transferable skills, including numeracy, analytical problem solving, data analysis, and written and oral communication, as well as subject-specific skills for further study at postgraduate level.
Some modules are assessed by continuous assessment of coursework throughout the year and an end-of-year exam in the final term. A number of modules at each stage are assessed solely through coursework.
For a student studying full time, each academic year of the programme will comprise 1200 learning hours which include both direct contact hours and private study hours. The precise breakdown of hours will be subject dependent and will vary according to modules. Please refer to the individual module details under Course Structure.
Methods of assessment will vary according to subject specialism and individual modules. Please refer to the individual module details under Course Structure.
The programme aims to:
You gain a knowledge and understanding of:
You gain the following intellectual skills:
You gain the following subject-specific skills:
You gain the following transferable skills:
Economics at Kent was ranked 22nd for student satisfaction in The Complete University Guide 2023.
Our Economics graduates have developed careers in accountancy, banking and finance, journalism, management consultancy and business. Recent graduates have gone on to work for:
The School of Economics supports and advises you in deciding what to do after your Economics degree. We offer:
The University also has a friendly Careers and Employability Service which can give you advice on how to:
Internships, either for a week or two or for the whole summer, can be a valuable addition to your studies. We provide guidance and assistance on where to look and how to apply.
Alongside a thorough understanding of economic issues, you develop key transferable skills that will appeal to employers. These include the ability to:
You can also gain extra skills by signing up for one of our Kent Extra activities, such as learning a language or volunteering.
If you are from the UK or Ireland, you must apply for this course through UCAS. If you are not from the UK or Ireland, you can apply through UCAS or directly on our website if you have never used UCAS and you do not intend to use UCAS in the future.
Discover Uni is designed to support prospective students in deciding whether, where and what to study. The site replaces Unistats from September 2019.
Discover Uni is jointly owned by the Office for Students, the Department for the Economy Northern Ireland, the Higher Education Funding Council for Wales and the Scottish Funding Council.
Find out more about the Unistats dataset on the Higher Education Statistics Agency website.