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.
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
This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.
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Points of entry
The following entry points are available for this course:
- Year 1
English language requirements
Applicants should have grade C or 4 in English Language GCSE or a suitable equivalent level qualification.
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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
|Northern Ireland||£9250||Year 1|