Planit


Finance and Data Analytics

University of Stirling

Venues

Stirling Campus

Content

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 can exit after stage 1 with PgCert Finance and Data Analytics.

You can exit after stage 2 with PgDip Finance and Data Analytics.

Entry Requirements

A minimum of a second class Honours degree or equivalent. Those without these formal qualifications but with significant appropriate/relevant work/life experience are encouraged to apply.

If you don’t currently meet the academic requirements for this course, INTO University of Stirling offers a variety of preparation programmes that can earn you the qualifications and skills you need for direct entry.

Start Date

September

Qualification

Postgraduate Master's

Award

MSc

Study Method

Full time

Course Length

12 months

Department

Stirling Management School

SCQF Level

11

Website

www.stir.ac.uk