Eligibility Requirements for Dublin MSc in Financial Data Science

65/100

Bachelor's GPA Requirement

Relevant degree degree

UG Requirement

5

Maximum Backlogs Accepted

Dublin MSc in Financial Data Science Rankings

Dublin MSc in Financial Data Science Program Description

The Financial Data Science programme from University College Dublin 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

Program URL:https://www.university-college-dublin.com/msc-financial-data-science/?microsite=true

Dublin MSc in Financial Data Science Program Curriculum

Courses include:

  • Quantitative Methods for Finance
  • Capital Markets & Instruments
  • Derivative Securities
  • Financial Analysis
  • Financial Econometrics
  • Financial Theory

Core Courses

Courses include:

  • Quantitative Methods for Finance
  • Capital Markets & Instruments
  • Derivative Securities
  • Financial Analysis
  • Financial Econometrics
  • Financial Theory
  • Finance
  • Accounting
  • Data Science & Big Data

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