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University of Derby

University of Derby

MSc in Economics and Finance

Full-time 1 Year

OFFER RESPONSE

7 Days

APPLICATION FEE

0 GBP

Fees Waived Off

BACKLOGS

3 backlogs accepted

POST STUDY WORK

1.5-3 Years

TUITION

17500 GBP
PER YEAR

LIVING/ PER YEAR

15000 GBP
PER YEAR

DURATION

1 Year

INTAKE


Deadline:

COURSE CURRICULUM

The MSc Economics and Finance at the University of Derby provides advanced knowledge of economics, finance, and quantitative analysis, equipping students with the analytical and technical skills required for careers in banking, investment, consultancy, government, financial services, and policy analysis. The programme combines economic theory with practical financial applications through core modules including Data Analytics, Econometrics, Global Challenges (Microeconomic Perspective), Global Challenges (Macroeconomic Perspective), International Markets, Policies and Strategies, Macroeconomics and Finance in the Global Economy, Independent Study: Research Methods, and an Independent Study: Dissertation. Throughout the course, students develop a comprehensive understanding of global financial markets, macroeconomic and microeconomic policy, international trade, financial systems, and evidence-based decision-making. A key component of the programme is the Data Analytics module, which develops specialist skills in collecting, managing, analysing, and interpreting complex economic and business datasets for policy assessment and strategic decision-making. Students learn to work with survey, administrative, and unstructured data using spreadsheets, econometric software, and statistical packages while applying quantitative and qualitative analysis techniques, data visualisation, predictive analytics, time series forecasting, machine learning, and artificial intelligence to generate meaningful insights. The module also introduces causal analysis, enabling students to evaluate relationships within data and make informed policy recommendations. Ethical and legal considerations, including data privacy, bias, responsible AI use, and governance, are integrated throughout the curriculum to ensure responsible and sustainable analytical practice. Through applied projects, research methods training, and an independent dissertation, students strengthen their research, critical thinking, and problem-solving skills while investigating a specialist topic in economics or finance. Graduates leave with the ability to analyse economic trends, evaluate financial markets, assess public policy, interpret complex datasets, and support strategic decision-making in national and international organisations. These advanced analytical, quantitative, and research skills prepare graduates for successful careers in banking, investment management, economic consultancy, financial analysis, government agencies, multinational organisations, and other sectors requiring expertise in economics, finance, and data-driven decision-making.

Mode of Study

Full-time

Job Rate

94%

Course Entry Requirements

Review the entry and language criteria.

Choose your language proficiency test

* No IELTS, no TOEFL - this united kingdom college doesn’t require an English test.

Scholarship Details

Details depend on the scholarships and study programs selected

*Based on Academic merit, students can receive scholarships ranging from 1000 to 2000, depending on their performance and program criteria.

AVG STARTING SALARY

₹47L

for MSc Data Science at University of Edinburgh

PLACEMENT RATE

91%

across top 6 programs

Top recruiting companies

Google

Meta

JP Morgan

Amazon

Microsoft

Stripe

Atlassian

Deloitte

Expected Annual Salary

£37,500 / year

£30K£45K

Total Tuition Fees (1 Year)

£17,500

Total Living Costs

£15,000

Total Investment

£32,500

Years to Payback

0.9 YEARS

We calculate your ROI by dividing your total investment by your expected salary; this shows you exactly when your career starts generating pure profit for you.

Ready to take the next step?

Our counsellors review every application before it goes to the university.

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