University of Kent

Degree level: Undergraduate

Economics with Data Science

Course options

Make sure you check on the university, college or conservatoire website for any updates about course changes as a result of COVID-19.

Course summary

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. Choose to study Economics with Data Science at Kent because: · you’ll satisfy your curiosity at a top 20 subject in The Guardian University Guide 2022 · you’ll study in a supportive learning community, ranked 5th for student satisfaction in The Complete University Guide 2022 · you can increase your career prospects through a year in industry or year abroad to gain real-world experience. Recent graduates have gone on to work at Deloitte, PwC and Goldman Sachs. · you’ll learn from inspiring lecturers who advise UK, European and international organisations · you’ll gain ongoing support through our employability team, regular workshops and alumni talks, as well as our dedicated academic adviser and peer mentoring scheme. · you’ll study in our new Kennedy building, home to our economics community, with excellent facilities, ideal for teaching analytic tools.

Course details

Modules

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).


How to apply

Application codes

Course code:
L1G1
Institution code:
K24
Campus name:
Main Site
Campus code:
-

Points of entry

The following entry points are available for this course:

  • Year 1

Entry requirements

Qualification requirements


English language requirements

Applicants should have grade C or 4 in English Language GCSE or a suitable equivalent level qualification.

Please visit our website for further information:

https://www.kent.ac.uk/courses/undergraduate/how-to-apply/english-language-requirements.html


Unistats information

Operated by the Office for Students
82%
Student satisfaction
76%
Employment after 15 months (Most common jobs)
93%
Go onto work and study

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

No fee information has been provided for this course

Additional fee information

All fees for 2023/24 are to be confirmed. Please see the programme page at www.kent.ac.uk for further information on fees and funding options.
Economics with Data Science at University of Kent - UCAS