12 months
Duration
21345 GBP/year
9850 GBP/year
Unknown
Tuition fee
Anytime
Unknown
Apply date
Unknown
Start date

About

Meet the growing demand for finance professionals with big data skills by studying University of Stirling's innovative Masters in Finance and Data Analytics.

Visit the official programme website for more information

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 Finance and Data Analytics  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.

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.

After you graduate

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.

Programme Structure

Courses include:

  • Corporate Finance
  • Representing and Manipulating Data
  • Quantitative Methods in Finance
  • Blockchain Technologies
  • Machine Learning
  • Applied Data Analytics Using R

Key information

Duration

  • Full-time
    • 12 months

Start dates & application deadlines

More details

International applicants requiring a student visa are advised to apply at least eight weeks in advance of the start date.

Credits

180 alternative credits

Delivered

On Campus

Academic requirements

GPA admission requirements GPA
Lower Second Class

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.

Tuition Fee

To alway see correct tuition fees
  • International

    21345 GBP/year
    Tuition Fee
    Based on the tuition of 21345 GBP for the full programme during 12 months.
  • National

    9850 GBP/year
    Tuition Fee
    Based on the tuition of 9850 GBP for the full programme during 12 months.

Living costs for Stirling

660 - 1140 GBP /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Finance and Data Analytics
-
University of Stirling

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