Overview
This postgraduate programme in Economics and Data Science at the University of Kent is meticulously crafted to enhance your understanding of both economic principles and data analysis techniques. The curriculum blends core macroeconomic and microeconomic theories with advanced econometric methods, ensuring that graduates are well-equipped to tackle complex, contemporary economic challenges. The course is structured to be completed over two years, with the first year taking place at the University of Kent in Canterbury and the second year at Aix Marseille University in France, culminating in a dual award.
Why Economics and Data Science at the University of Kent?The University of Kent is renowned for its strong research culture and international reputation, particularly in applied microeconomics and quantitative macroeconomic theory. The programme benefits from excellent facilities, including the Templeman Library, and provides students with access to state-of-the-art research resources. The university's partnerships with leading institutions enhance the learning experience, offering students unique insights into real-world applications of their studies.
Tuition Fee BreakdownThe tuition fees for the Economics and Data Science (M.Sc.) programme are structured as follows:
- UK Students: £10,000 per year
- International Students: £20,700 per year
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe programme includes a variety of modules that allow students to specialise in areas of interest. Key modules may include:
- Advanced Econometric Methods
- Financial Economics
- Machine Learning
- Programming for Big Data
- Duration and Transition Models
These modules are designed to enhance students' analytical skills and prepare them for the growing demand for expertise in economic and financial data analysis.
Careers with Economics and Data ScienceGraduates from this programme have secured positions in various sectors, including international organisations, the financial industry, and governmental agencies. Notable employers include BNP Paribas, AXA, FactSet, and PwC. The skills acquired through this course enable alumni to pursue careers as economists, data analysts, and financial consultants, among other roles.
Programme Structure
Courses include:
- Microeconomics
- Econometric Methods
- International Economics
- International Finance
- Macroeconomics
- Financial Economics
- Research Skills for Economics Dissertation
- Sustainable Economic Growth and Environmental Valuation
- Economics Dissertation
- Money and Credit
- Development Economics
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , National
-
No fixed deadline for applications from home students, but we recommend to apply as soon as possible; no later than three months before your start date.
Language
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Credits
Delivered
Campus Location
- Canterbury, United Kingdom
Disciplines
Economics Data Science & Big Data View 416 other Masters in Data Science & Big Data in United KingdomWhat students do after studying
Academic requirements
English requirements
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- 98 accuracy using real exam data
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Other requirements
General requirements
- A first or second class honours degree from the UK or an equivalent internationally recognised qualification in economics or a combined degree in economics and another subject. Applicants must also have a good level of quantitative skills (eg a pre-university school qualification in mathematics).
Tuition Fees
-
International Applies to you
Applies to youNon-residents20700 GBP / year≈ 20700 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents10000 GBP / year≈ 10000 GBP / year
Living costs
Canterbury
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Economics and Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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