MSc Finance and Data Analytics
University of Stirling
Key Information
Campus location
Stirling, United Kingdom
Languages
English
Study format
On-Campus
Duration
12 Months
Pace
Full time
Tuition fees
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Application deadline
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Earliest start date
Sep 2024
Introduction
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 and S&P Capital IQ.
Top reasons to study with us
#1 96% of our graduates were in employment or further study 15 months after graduation (Graduate Outcomes 2020/21, HESA)
#2 Access professional databases such as Bloomberg and S&P Capital IQ
#3 Get real-world experience with Amplify Trading Boot Camp and the Student Managed Investment Fund
Curriculum
Course objectives
Over the course of your studies on this Masters course you will:
- gain deep understanding of finance theories;
- acquire skills in programming languages;
- develop knowledge and skills in analysing data to inform investment decisions;
- enhance your critical and analytical skills.
Professional accreditation
The course offers students the opportunity to cover the prerequisite material of the Financial Data Professional (FDP) programme from the FDP Institute, using the DataCamp route. It thus helps you progress towards obtaining the FDP credential.