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Financial Data Analytics MSc

University of Sussex

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Course options

  • Qualification

    MSc - Master of Science

  • Location

    University of Sussex

  • Study mode

    Full time

  • Start date

    08-SEP-25

  • Duration

    1 Year

Course summary

The financial industry is in a period of change. Information is available in more detail than ever before. This creates a need for quantitative analysts with a profound understanding of financial principles, along with data science and mathematics skills.

This MSc introduces you to the dynamic world of quantitative finance, the revolutionary ideas of data analytics and the rigorous elegance of mathematics. During your studies, you鈥檒l:

gain the practical skills to solve real-world problems

feel at home in the communities of quantitative analysts, mathematicians and computer scientists

learn about the leading principles of quantitative finance, the foundations of data science and machine learning, and methods of computer programming.

When you graduate, you鈥檒l be proficient in analytic thinking and systematic reasoning. You鈥檒l have excellent research skills and will be able to communicate complex ideas. With your knowledge and expertise, you鈥檒l be well prepared for jobs in a wide range of professions.

CAREERS

As a graduate, you鈥檒l have the mathematics, data analytics and finance skills to successfully compete in a wide range of related professions. These could include:

accountancy
consultancy
data science
financial services
information technology and computer programming
insurance
pension funding.

Tuition fees

Students living in Hong Kong
(International fees)

拢 22,575per year

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

University information

University of Sussex

  • University League Table

    47th

  • Campus address

    University of Sussex, Sussex House, Falmer, Brighton, Brighton, BN1 9RH, United Kingdom

Subject rankings

  • Subject ranking

    34th out of 117 7

  • Entry standards

    / Max 227
    135 60%

    45th

  • Graduate prospects

    / Max 100
    87.0 87%

    38th

    14
  • Student satisfaction

    / Max 4
    3.11 78%

    26th

    1

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