Overview
This Finance and Data Analytics MSc course from University of Stirling equips you with data analysis skills that are in short supply and can be utilised in algorithmic trading, machine learning and artificial intelligence applications.
Key facts
- 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.
- 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.
- Career opportunities:
- 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.
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Corporate Finance
- Representing and Manipulating Data
- Quantitative Methods in Finance
- Blockchain Technologies
- Machine Learning
- Applied Data Analytics Using R
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- StartingApply anytime.
You can apply up to a year in advance of your course start date and we accept applications throughout the year.
Language
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Credits
Delivered
Campus Location
- Stirling, United Kingdom
Disciplines
Finance Data Science & Big Data Machine Learning View 79 other Masters in Machine Learning in United KingdomExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General 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.
- 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.
Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents24300 GBP / year≈ 24300 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents11500 GBP / year≈ 11500 GBP / year
Living costs
Stirling
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Check for any work restrictions
Visit programme websiteIn order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Finance and Data Analytics.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility