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Financial Analytics, MSc

Swansea University

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Swansea University

Course options

2 options available

  • Qualification

    MSc - Master of Science

  • Location

    Bay Campus

  • Study mode

    Full time

  • Start date

    01-SEP-25

  • Duration

    1 year

Course summary

COURSE OVERVIEW

Develop the technical skills to examine and uncover patterns in data and address critical business challenges impacting the finance industry today.

The MSc Financial Analytics at Swansea University is a specialised, technical-driven and practically oriented programme. It is designed for those wanting to accelerate into a dynamic career in the finance and investments industry, in roles such as Data Specialist, Consultant or Portfolio Manager, as well for as those wanting to undertake further research in finance through a PhD. Though applicants should have an undergraduate degree or equivalent in a quantitative field, no computer science or programming is required.

You will explore key topics, including big data in finance, programming for financial applications, econometrics, financial risk forecasting and advanced data analytics. You will also develop the skills to utilise big data and data analytics, programming languages (e.g. Python, R), and visualisation tools so you can apply appropriate financial analytics models and effectively inform investment decisions.

Experience our research-led approach to teaching and benefit from the cutting edge work being undertaken by our Hawkes Centre for Empirical Finance research centre, which undertakes pioneering research in advancing the understanding, development and application of tools and techniques relevant to the analysis of financial and macroeconomics data.

This advanced programme is ideal for students with an economics, science, maths, accounting or finance background wishing to further their studies, as well as working professionals looking to consolidate their knowledge or upskill in their field.

FINANCIAL ANALYTICS EMPLOYMENT OPPORTUNITIES

We have an excellent track record of placing our graduates with major multinational companies.

Your MSc Financial Analytics programme will prove to employers you have the technical skills to succeed in today鈥檚 financial world and that you are a strategic thinker with expertise in data analytics.

Your next step could be in any of these roles:

Finance Analyst
Fund Manager
Data Specialist
Portfolio Manager
Consultant

Our career support services include:

Employability workshops, employers鈥� talks, bespoke events and careers fairs
Individual advice and guidance from professionally qualified Careers Advisers
Help with finding jobs, internships, work placements and volunteering opportunities
Access to information resources on a wide range of career management topics
Funding to support student internship opportunities and Student Society/Club events.

We also provide help and advice for Swansea University Alumni up to two years after you graduate.

Tuition fees

Students living in Hong Kong
(International fees)

拢 21,000per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

Swansea University

Swansea University

Swansea University

  • University League Table

    37th

  • Campus address

    Swansea University, Singleton Park, Swansea, Swansea, SA2 8PP, Wales

VIEW PROFILE
Swansea offers an outstanding study experience across two beachside campuses, with a community of 4,800+ undergraduates and postgraduates from 100+ countries.
Swansea's dedicated international recruitment, admissions and student support teams will help to guide you from application to arrival and beyond.
Ranked 37th in the UK (Complete University 大象传媒 2025), Swansea University offers an exceptional education combined with an unforgettable student experience.

Subject rankings

  • Subject ranking

    Computer Science

    33rd out of 117 4

  • Entry standards

    / Max 227
    134 59%

    49th

  • Graduate prospects

    / Max 100
    88.0 88%

    33rd

    10

  • Student satisfaction

    / Max 4
    3.03 76%

    51st

    11

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