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University of Stirling: Finance and Data Analytics
| Institution | University of Stirling View institution profile |
|---|---|
| Department | Accounting and Finance |
| Web | www.stir.ac.uk |
| graduate.admissions@stir.ac.uk | |
| Telephone | 01786 466655 |
| Study type | Taught |
MSc
Summary
Data analytics is transforming the finance industry. Modern finance needs professionals who can analyse financial data to improve business performance. As a result, financial data analysis is one of the fastest-growing professions in the finance industry (CFI).
Our Masters in Finance and Data Analytics will prepare you for this growing job market.
You’ll study data analysis, machine learning and artificial intelligence (AI) applications. You'll also learn about financial theory and investment practices.
Practical experience in data analysis and finance Our award-winning global financial trading AmplifyMe Boot Camp lets you trade in real-time. Develop practical skills in investment portfolio management through the Student Managed Investment Fund. Access professional financial databases including Bloomberg, Capital IQ and Morningstar Direct. Learn about international financial markets using real-time data. Learn to use programming languages such as Python and R to analyse data and understand finance. Participate in networking and guest lectures. Previous guest lectures have included financial experts from: CFA Society of the UK Walter Scott Global Investment Management Aberdeen Asset Management UBS Lego SVM Asset Management Electronic Research Interchange We are AACSB accredited The University of Stirling is accredited by the Association to Advance Collegiate Schools of Business (AACSB). AACSB International is the world's largest global standard-setting body for business education. Only 6% of the world’s leading business schools achieve this accreditation. This recognises our excellence in business education and societal impact.
| Level | SCQF Level 11 |
|---|---|
| Entry requirements | A minimum of a second class honours degree or equivalent. Applicants without these formal qualifications but with significant appropriate/relevant work/life experience are encouraged to apply. |
| Location | Main Site Grange Road Stirling FK9 4LA |
Summary
As the modern financial industry increasingly turns to big data to inform investment decisions, there is a growing demand for professionals with a specialisation in data analytics. This course equips you with data analysis skills that are in short supply, including algorithmic trading, use of machine learning, and artificial intelligence.
As you study, you’ll develop core skills in finance, investments and data analytics – all of which can be applied in a final dissertation on a finance-related topic of your choice. You’ll also be taught how to use programming languages (e.g. Python, R) to analyse data and get a thorough understanding of core financial theory and investment practices. In addition, you'll have the opportunity to use professional financial databases, such as Bloomberg, Eikon and S&P Capital IQ.
Other features of the course include the Amplify Trading Boot Camp, where you can get first-hand experience of real-world trading, and the Student Managed Investment Fund, which provides experience of managing actual funds through targeted investments. All these features help to enhance employability, give you practical skills, and play a part in a world-leading student experience.
Our MSc Finance and Data Analytics course provides all the necessary tools for a successful career in the financial industry. You’ll learn how to use programming languages (e.g. Python, R) to analyse data and get a deep understanding of core financial theory and investment practices.
The first semester of the program is devoted to developing core financial and data analytics skills. In the second semester, you can choose from a wide selection of modules that will allow you to further strengthen your skills in data analytics and investments. During the summer, you’ll write a dissertation on a finance-related topic of your choice, applying the skills you’ve learned during the year.
| Level | SCQF Level 11 |
|---|---|
| Entry requirements | A minimum of a second class honours degree or equivalent. Applicants without these formal qualifications but with significant appropriate/relevant work/life experience are encouraged to apply. |
| Location | Main Site Grange Road Stirling FK9 4LA |
The University of Stirling is an international university committed to helping students Be the Difference in the world. Based in the heart of Scotland, Stirling is a place where ability – not background – is valued, and teaching, employability and facilities are all rated five-star (QS Stars University Ratings 2024).
That’s just part of the reason Stirling was shortlisted for University of the Year in the Times Higher Education (THE) Awards 2024, rated top 30 in the UK for postgraduate teaching (Postgraduate Taught Experience Survey 2024) and number one in the UK for campus environment (The International Student Barometer …
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