Economics with Data Science - BSc (Hons)

This is an archived course for 2021 entry
2023 courses

Data science in economics teaches programming, artificial intelligence and machine learning. Develop the skills to analyse economic problems, apply theory to real-world economic situations, and exploit big data to guide your economic decisions in any sector, whether it’s finance, government, entertainment or industry. Apply your skills to tackle some of today’s economic problems with big data.


As a Kent Economics student, you develop the skills to analyse and discuss crucial areas such as poverty and economic growth, developing economies, environmental protection, and financial and monetary crises. You also consider the dilemmas facing households, firms and governments, such as the provision of education, roles of labour markets and regulation of markets. You are challenged to contribute and defend your own theories and solutions.

Along with all Economics students, you take the common core modules described below, and in addition you take specific modules in data science covering areas such as: object-oriented programming, programming for artificial intelligence, big data and other analytical techniques, machine learning for econometrics, and modelling and computation.

Our School of Economics is ranked highly among UK universities for student satisfaction. Our economists are internationally recognised for their research and are also exciting and innovative teachers who place a particular emphasis on making economics relevant to the real world.

The School provides outstanding academic support. Each student has a dedicated academic adviser and we also run a peer mentoring scheme where experienced final-year students offer advice and support to new students. We are an international community with academic staff and students from many countries so you develop a global perspective on your subject.

Our degree programme

In your first year, you learn how economists think and become familiar with the tools they use for analysing real economic problems. You will also study specific modules in programming and have the option to choose a module in professional economics, strategy and games or the economic development of Europe.

In your second and final years, you study macroeconomics, microeconomics and quantitative economics, together with specific modules on computation, machine learning and big data. Plus you would undertake either a dissertation or an extended essay on a topic of your choice.

We also have a wide range of optional modules at Stage 3 covering areas such as mathematical economics, international finance, industrial, monetary and financial economics.

Year in industry

You have the option to take this programme with a year in industry. For more details, see Economics with Data Science with a Year in Industry.

In previous years students have worked at:

  • Bank of England
  • Government Economic Service (GES)
  • Deloitte
  • Ernst & Young
  • PwC
  • Organisation for Economic Co-operation and Development (OECD).

You don’t have to make a decision about the year in industry before you enrol at Kent but certain conditions apply.

Year in Computing/Year in Journalism

The Year in Computing and the Year in Journalism are both free-standing, self-contained years and can be taken after stage 2 or 3 (that is, between your second and final year, or after your final year). You can take a Year in Computing or a Year in Journalism if you are a current undergraduate student at the University of Kent, studying a non-computing or non-journalism degree programme respectively.

You can only apply for a Year in Computing or a Year in Journalism once you are a student at Kent.

Extra activities

You may wish to join the following student-run societies:

  • the Economics Society, which organises lecturers and conferences, as well as social events
  • Kent Investment Society, which focuses on the financial markets. It is made up of analysts, head analysts and committee members, who each cover a particular financial market. In previous years, the Society has organised an annual virtual trading competition.

The School of Economics also hosts events that you are welcome to attend. These include:

  • public lectures and seminars
  • employability workshops
  • networking events.

Professional network

Many of our staff advise UK, European and international organisations. These include:

  • HM Treasury
  • Department for Environment, Food and Rural Affairs (Defra)
  • Bank of England
  • European Commission
  • European Central Bank
  • Organisation for Economic Co-operation and Development (OECD)
  • European Central Bank (ECB)

These links mean we can bring real-life examples and scenarios into our teaching, ensuring it is up to date and relevant.

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Entry requirements

Please also see our general entry requirements.

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    A level

    ABB-BBB from three full A levels including A level Mathematics grade B and excluding General Studies and Critical Thinking.

    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.

  • medal-empty Access to HE Diploma

    The University will not necessarily make conditional offers to all Access candidates but will continue to assess them on an individual basis. 

    If we make you an offer, you will need to obtain/pass the overall Access to Higher Education Diploma and may also be required to obtain a proportion of the total level 3 credits and/or credits in particular subjects at merit grade or above.

  • medal-empty BTEC Nationals

    The University will consider applicants holding BTEC National Diploma and National Extended Diploma qualifications (QCF; NQF; OCR) on a case-by-case basis.

  • medal-empty International Baccalaureate

    34 points overall or 15 points at HL, including Mathematics SL or HL at 5.

  • medal-empty International Foundation Programme

    Pass all components of the University of Kent International Foundation Programme with a 60% overall average.

International students should visit our International Student website for further specific information. International fee-paying students who require a Student visa cannot study part-time due to visa restrictions.

English Language Requirements

Please see our English language entry requirements web page.

If you need to improve your English language standard as a condition of your offer, you can attend one of our pre-sessional courses in English for Academic Purposes before starting your degree programme. You attend these courses before starting your degree programme.

Course structure

Duration: 3 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.

Stage 1

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)

CO320 – Introduction to Object-Orientated Programming (15 credits)

CO359 – Programming for Artificial Intelligence (Python programming) (15 credits) This is a new module - information available soon

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.

Stage 2

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)

Stage 3

Compulsory modules currently include

EC542 - Econometrics I: An Introduction to Modern Econometrics using Stata (15 credits)

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)

EC562 - Financial Economics: Financial Markets and Instruments (15 credits)

EC563 - Financial Economics and Asset Pricing (15 credits)

EC531 - Policy Analysis (15 credits)

EC631 - Applied Environmental Economics (15 credits)


The 2021/22 annual tuition fees for this programme are:

  • Home full-time £9,250
  • EU full-time £12,600
  • International full-time £16,800

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.* 

Your fee status

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.

Additional costs

General additional costs

Find out more about accommodation and living costs, plus general additional costs that you may pay when studying at Kent.


We have a range of subject-specific awards and scholarships for academic, sporting and musical achievement.

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University funding

Kent offers generous financial support schemes to assist eligible undergraduate students during their studies. See our funding page for more details. 

Government funding

You may be eligible for government finance to help pay for the costs of studying. See the Government's student finance website.


General scholarships

Scholarships are available for excellence in academic performance, sport and music and are awarded on merit. For further information on the range of awards available and to make an application see our scholarships website.

The Kent Scholarship for Academic Excellence

At Kent we recognise, encourage and reward excellence. We have created the Kent Scholarship for Academic Excellence. 

The scholarship will be awarded to any applicant who achieves a minimum of A*AA over three A levels, or the equivalent qualifications (including BTEC and IB) as specified on our scholarships pages.

Teaching and assessment


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.

Contact hours

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.

Programme aims

The programme aims to:

  • provide a flexible and progressive curriculum that is suitable for students who have or have not studied Economics and Data Science before.
  • provide a stimulating education in the principles of Economics and Data Science and their application, in which high quality teaching motivates students to achieve their full potential.
  • stimulate students intellectually through the study of economics and to lead them to appreciate its application to a range of problems and its relevance in a variety of contexts.
  • provide a firm foundation of knowledge about the workings of economic systems and to foster an understanding of alternative approaches to the analysis of economic phenomena.
  • equip students with technical skills and knowledge appropriate for graduates in economics and data science. 
  • provide students with the ability to abstract and to develop simplifying frameworks for studying the real world.
  • develop in students the ability for rigorous reasoning and a logical approach to solving real world problems using economics and data science techniques.
  • develop in students the ability to apply economic and data science knowledge, analytical tools and skills in a range of theoretical, applied and policy problems.
  • develop students understanding of econometric theory and data science, and carry out applied econometric and data science investigations using appropriate software.
  • provide a range of options to enable students to study selected areas of economics and data science in depth, the teaching of which is informed by the research and scholarship of academic staff.
  • provide students with the knowledge and skill base from which they can proceed to further studies in economics and data science, related areas or in multidisciplinary areas that involve economics and data science.
  • develop in all students, through the study of economics and data science, a range of skills that will be of value in employment and self-employment.
  • develop skills and knowledge of relevant economics and data science software

Learning outcomes

Knowledge and understanding

You gain a knowledge and understanding of:

  • The main concepts, principles, theories, models and methods of modern economic, econometric, and data science analysis and their application in different areas of Economics.
  • The history and development of economic ideas and the differing methods of analysis that have been and are used by economists.
  • The analytical skills that allow students to formulate and consider a range of economic, econometric, and data science problems and issues.
  • The econometric, mathematical, statistical and computing methods used in Economics, Econometrics and Data Science.
  • Economic data, economic, econometrics and data science methods used to analyse such data.
  • Economic analysis of policy.
  • Critical Discussion of specific problems, issues and policies in a range of areas in Economics, Econometrics, and Data Science.
  • Key concepts affecting decision-making.
  • An economic topic chosen by the student and submitted as a supervised dissertation or extended essay in final year.
  • Information technology skills relevant for Economics, Econometrics, and Data Science.
  • Software, including programming languages and tools, packages, practice, structuring of economic data and information.
  • The role of logical mathematic argument and deductive reasoning used in applying economic modelling, econometrics, and data science techniques.

Intellectual skills

You gain the following intellectual skills:

  • Ability to abstract the essential features of a complex system.
  • Ability to think about what are the important variables and fixed parameters in solving a problem.
  • Ability to analysis complex issues using deductive and inductive reasoning.
  • Ability to organise and use information to analyse complex issues, test hypotheses, and apply core concepts and principles relevant to computing, statistics and econometrics.
  • Ability to review critically alternative explanations and analyses of a problem.
  • Ability to manage a supervised final year dissertation or extended essay on an economic topic chosen by the student.
  • Ability to demonstrate skills in calculation and manipulation of mathematical and statistical material written within the programme and ability to solve problems formulated within it.
  • Ability in computer skills and usage of relevant programming languages relevant.

Subject-specific skills

You gain the following subject-specific skills:

  • Analytical skills in economics, econometrics, machine learning, and economic modelling.
  • Ability to apply economic principles and analysis to a range of issues, problems and policies.
  • Ability to abstract the essential features of an economic issue, problem or system.
  • Knowledge of the principal sources of Economic data and information and ability to use and present this information.
  • Be able to carry out economic, econometric, and machine learning analysis of economic data.
  • Knowledge and ability to make and provide advice on how to make economic decisions.
  • Ability to synthesise and compare critically different economic analyses of an economic issue.
  • Ability to research the literature on an economic issue.
  • Ability to apply economic skills to investigate a supervised final year project on an economic topic chosen by the student.
  • Ability to use key aspects of econometrics, machine learning and economic modelling in analysing real world problems using small and large data set.
  • Knowledge and ability to demonstrate understanding of fundamental concepts and algorithmic thinking including recursive, distributed and parallel possibilities, and their role in machine learning algorithms and economic modelling.
  • Ability to use computational facilities and demonstrate skills in codification and storage of data as well as in pre-processing raw data for analysis.

Transferable skills

You gain the following transferable skills:

  • Effective communication of analysis and ideas both orally, aurally and in written form
  • Ability to assemble, analyse, use and present data.
  • Understanding and ability to use economic, econometric, mathematical and quantitative methods to analyse issues and problems.
  • Ability to analyse and make decisions, using economic concepts, e.g. opportunity cost and strategic behaviour.
  • Development of Information Technology skills through using statistical, econometric, and programming packages.
  • Independence in initiating and executing work.
  • Ability to think critically about proposed analyses and solutions to a problem or issue.
  • Become responsible for managing own learning and academic performance.
  • Manage a supervised final year dissertation or extended essay on an economic topic chosen by the student.
  • Computational skills including coding and programme development.

Independent rankings

Economics at Kent scored 89% overall in The Complete University Guide 2021.

Over 93% of final-year Economics students were satisfied with the quality of their course in The Guardian University Guide 2021.

Computer Science at Kent scored 90% overall in The Complete University Guide 2021.

For graduate prospects, Computer Science at Kent scored 92% in The Complete University Guide 2021.


Graduate destinations

Our Economics graduates have developed careers in accountancy, banking and finance, journalism, management consultancy and business. Recent graduates have gone on to work for:

  • Deloitte
  • Government Economic Service
  • HMRC
  • Citibank
  • KPMG
  • PwC
  • Bank of America
  • Schroders
  • Goldman Sachs
  • Barclays.

Help finding a job

The School of Economics supports and advises you in deciding what to do after your Economics degree. We offer:

  • one-to-one advice from a member of our employability team
  • employability workshops
  • talks from alumni and outside employers.

The University also has a friendly Careers and Employability Service which can give you advice on how to:

  • apply for jobs
  • write a good CV
  • perform well in interviews.

Work experience

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.

Career-enhancing skills

Alongside a thorough understanding of economic issues, you develop key transferable skills that will appeal to employers. These include the ability to:

  • think critically
  • communicate your ideas and opinions succinctly
  • work independently
  • use your initiative and be proactive
  • work as part of a team and independently
  • manage your time and plan effectively
  • problem solve.

You can also gain extra skills by signing up for one of our Kent Extra activities, such as learning a language or volunteering.

Apply for Economics with Data Science - BSc (Hons)

We are no longer accepting applications for the 2021/22 academic year. Please visit the 2022 entry course pages.

Contact us


United Kingdom/EU enquiries

Enquire online for full-time study

T: +44 (0)1227 768896


International student enquiries

Enquire online

T: +44 (0)1227 823254


School website

School of Economics

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