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M.Sc. On Campus

Financial Data Science

UCD Michael Smurfit Graduate Business School

12 months
Duration
Unknown
Tuition fee
Anytime
Unknown
Apply date
Unknown
Start date

About

Fintech (the merging of finance, data and technology) is transforming financial services. New and emerging technologies such as big data analytics, blockchain, machine learning and AI, cloud computing and cryptocurrencies are transforming how business is conducted. The Financial Data Science programme is offered by UCD Michael Smurfit Graduate Business School.

Overview

This exciting Financial Data Science programme from UCD Michael Smurfit Graduate Business School will equip students for a career addressing global business needs for data science expertise particularly in the financial services industry.

The MSc in Financial Data Science is suitable for graduates of engineering, computer science, mathematics, and business (with quantitative modules), with a talent for and interest in applying data science to problems particular to the realm of financial services.

What are the benefits?

  • UCD College of Business has a significant number of academics who are leaders in the area of financial data science and digital technology and financial services.
  • Immerse yourself in how financial markets operate and the ongoing FinTech revolution in this space.
  • The programme features the theory and practice of cutting-edge quantitative analysis, optimisation, data science and machine learning on real financial data sets.
  • Graduates will attain skills and understanding in software programming, databases and applications of machine learning in finance.
  • Options include a FinTech start-up incubator program in the Summer Trimester in partnership with Nova UCD, (which offers guidance and support in bringing start-up ideas to market).

Career Opportunities

Graduates of the MSc in Financial Data Science will find career opportunities in the following areas:
  • Data science
  • Financial Services
  • Investment Management
  • Risk Management
  • Banking & Credit Risk
  • FinTech

Programme Structure

Courses included:

  • Quantitative Methods for Finance
  • Capital Markets
  • Derivative Securities
  • Financial Analysis
  • Financial EconometricsFinancial Theory
  • Banking & Finance in the Digital Age
  • Programming for Financial Data Science
  • Financial Data Science
  • Machine Learning for Finance

Key information

Duration

  • Full-time
    • 12 months
  • Part-time
    • 24 months

Start dates & application deadlines

More details

Applications are assessed on a rolling basis and courses will close once they are filled.

Delivered

On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

Other requirements

General requirements

  • Graduates with an undergraduate degree in Business, Finance or any degree with a significant quantitative element (such as engineering, physics or mathematics) are eligible to apply to this programme. 
  • Applicants may be asked to undertake the GMAT or GRE at the Programme Director’s discretion.
  • Two completed academic reference forms from referees who can assess applicant's maturity, motivation and intellectual ability. Part-time students can provide employer references.

Tuition Fee

Living costs for Dublin

1100 - 1800 EUR /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.

Fresh content

Updated in the last 6 months

Check the official programme website for potential updates.

Our partners

Financial Data Science
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UCD Michael Smurfit Graduate Business School

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