MSc Finance and Data Analytics

Our MSc Finance and Data Analytics course provides all the necessary tools for a successful career in the financial industry. You’ll learn how to use programming languages (e.g. Python, R) to analyse data and get a deep understanding of core financial theory and investment practices.
 

The first semester of the program is devoted to developing core financial and data analytics skills. In the second semester, you can choose from a wide selection of modules that will allow you to further strengthen your skills in data analytics and investments. During the summer, you’ll write a dissertation on a finance-related topic of your choice, applying the skills you’ve learned during the year.
 

Modules
The module information below provides an example of the types of course module you may study. The details listed are for the current academic year (September 2021). Modules and start dates are regularly reviewed and may be subject to change in future years.
 

Year 1, Autumn semester

Compulsory module

• Flying Start Leadership Programme (MANPFSL)    0 credits
   

Compulsory module

• Corporate Finance (INVP001)    20 credits
   

Compulsory module

• Representing and Manipulating Data (ITNPBD2)    20 credits
   

Compulsory module

• Quantitative Methods in Finance (BFIP013)    20 credits

Compulsory module

• Blockchain Technologies (ITNPFT1)    10 credits
   

Year 1, Spring semester

Compulsory module

• Machine Learning (ITNPBD6)    20 credits
   

Compulsory module

• Applied Data Analytics Using R (ECNP003)    20 credits
   

Option module
 

Select 30 credits from Finance & Data Analysis options list

• Empirical Methods in Finance and Accounting (ACCP009)    10 credits
• Behavioural Finance (FINP006)    10 credits
• Financial Risk Assessment (FINP007)    10 credits
• Investment Regulation and Ethics (INVP005)    10 credits
   

Year 1, Summer semester

Dissertation
 

Select 40 credits from Dissertation list

• Dissertation (FINP099)    40 credits

Academic 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.
 

Other routes of entry
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.
 

English language requirements
 

If English is not your first language you must have one of the following qualifications as evidence of your English language skills:

• IELTS Academic or UKVI 6.0 with a minimum of 5.5 in each sub-skill 
• Cambridge C1 Advanced (CAE) 169 overall with a minimum of 162 in each sub-skill
• Cambridge C2 Proficiency (CPE) 180 overall with a minimum of 162 in each sub-skill
• Pearson Test of English (Academic) 60 overall with a minimum of 59 in each sub-skill
• IBT TOEFL 78 overall with a minimum of 17 in listening, 18 in reading, 20 in speaking and 17 in writing
• IBT TOEFL Special Home Edition Test 78 overall with a minimum of 17 in listening, 18 in reading, 20 in speaking and 17 in writing
• Trinity ISE II Pass overall with a Pass in each sub-skill, ISE III Pass overall and in all sub-skills, ISE IV Pass overall and in all sub-skills
• Aptis (4 skills) CEFR B2 overall and B2 in all sub-skills
• Duolingo 95 overall with a minimum of 90 in all sub-skills
• LanguageCert International ESOL B2 Communicator - High Pass overall with minimum 25 in each sub-skill

Overseas (non-EU) students

2022/23 - £21,345
2023/24 - £21,845
 

Course fees

Fees shown are for a full-time, one-year Masters course.

• If you need to extend your period of study, you may be liable for additional fees.
• If you are studying part time, the total course fee will be split over the years that you study. The total fee will remain the same and will be held at the rate set in your year of entry.
   

Cost of living
If you’re domiciled in the UK, you can typically apply to your relevant funding body for help with living costs. This usually takes the form of student loans, grants or bursaries, and the amount awarded depends upon your personal circumstances and household income.
 

European Union and overseas students won’t normally be able to claim living support through SAAS or other UK public funding bodies. You should contact the relevant authority in your country to find out if you’re eligible to receive support.

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.