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 and can be utilised in algorithmic trading, machine learning and artificial intelligence applications.

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.

You’ll graduate from the MSc Finance and Data Analytics course with the skills to meet the modern financial industry’s demand for the use of big data to inform investment decisions. Our innovative week-long global financial boot camp run by Amplify will give you real-world experience of trading, while our guest lecturer programme gives you the chance to learn from, and network with, industry leaders.

This course opens up a range of exciting career opportunities, including:

• Fund management
• Security dealing
• Financial engineering
• Management consultancy
• Corporate finance
• Data analysis work within investment and central banks, and accountancy firms

The University of Stirling Management School has a dedicated Employability Manager and from the very beginning of the course your career is our focus.