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- MSc Finance and Data Analytics
Course options
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Qualification
MSc - Master of Science
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Location
University of Stirling
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Study mode
Full time
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Start date
22-SEP-25
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Duration
12 months
Course summary
Overview
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.
Course objectives
Over the course of your studies on this Masters course you'll:
- 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.
Modules
Tuition fees
- Hong Kong
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£ 22,900per year
Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.
University information
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University League Table
53rd
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Campus address
University of Stirling, University of Stirling, Stirling, Stirling, Stirling, FK9 4LA, United Kingdom
Subject rankings
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Subject ranking
37th out of 103 5
59th out of 117 5
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Entry standards
/ Max 227175 77%8th
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Graduate prospects
/ Max 10071.0 71%35th
25 -
Student satisfaction
/ Max 43.08 77%65th
13 -
Entry standards
/ Max 227151 67%32nd
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Graduate prospects
/ Max 10077.0 77%74th
5 -
Student satisfaction
/ Max 42.84 71%100th
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