Financial Data Science

This Master's programme is delivered at our dedicated Graduate Business School campus, UCD Michael Smurfit Graduate Business School, located in Blackrock, 4km from the main UCD Belfield Campus.



Students will learn from some of the leading academic minds in this area as well as influential visiting speakers from the world of digital finance and technology. Our course blueprint covers the gamut of data research and analysis to practical programming and software development for financial services.



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.

Stage 1 Core Modules

FIN41660 Financial Econometrics Autumn 5

FIN42020 Derivative Securities Autumn 5

FIN42030 Financial Analysis Autumn 5

FIN42040 Capital Markets & Instruments Autumn 5

FIN42050 Quant. Methods for Finance Autumn 5

FIN42330 Python for Fin. Data Science Autumn 5

FIN41360 Portfolio & Risk Mgt Spring 7.5

FIN42100 Machine Learning for Finance Spring 7.5

FIN42110 Data Science for Trading & Risk Management Spring 7.5

FIN42130 Banking& Finance inDigital Age Spring 7.5

FIN41910 Green Data Science Summer 7.5

FIN41930 Ethics in Financial Services Summer 7.5



Stage 1 Options - A)15CR:

Choose 2 x 7.5 ECTs options modules. If you would like to pursue Summer Internship (FIN42060) your Programme Manager will register you upon approval. Students will be able to register to Summer Trimester modules in March.

FIN40490 Advanced Treasury Management/Financial Engineering Summer 7.5

FIN41480 Mergers & Acquisitions Summer 7.5

FIN41950 Financial Technology Summer 7.5

FIN42060 Summer Internship Summer 15

FIN42210 Structured Finance Summer 7.5

FIN42340 Business Communications Summer 7.5

Please review the entry requirements below. The UCD Smurfit Admissions Office staff have expertise in reviewing international qualifications from around the world and will be able to assess your application's comparability to the Irish entry requirement.



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.



Note: Note that graduates of UCD Lochlann Quinn School of Business are not required to submit the reference form.



If English is not your first language, an English language qualification is required for admission to all of our programmes. The exception to this rule is if you have completed your primary degree or an entire third level qualification through English, in an English speaking country.



You may be eligible for Recognition of Prior Learning (RPL), as UCD recognises formal, informal, and/or experiential learning. RPL may be awarded to gain Admission and/or credit exemptions on a programme. Please visit the UCD Registry RPL web page for further information. Any exceptions are also listed on this webpage.

https://tinyurl.com/2ae2ffax

12 months full-time, 24 months part-time.

Delivery: On Campus

B746 Financial Data Science Master of Science Full-Time

Commencing September 2025

Graduate Taught (UCD Michael Smurfit Graduate Business School)



B747 Financial Data Science Master of Science Part-Time

Commencing September 2025

Graduate Taught (UCD Michael Smurfit Graduate Business School)

Career Opportunities

The MSc in Financial Data Science is at the cutting edge of emerging digital technologies and data analysis in Finance.



85% of our graduates from this programme were employed after 6 months across a range of industry sectors. Source: Latest Graduate Outcomes Survey, published in September 2024.



The programme provides an enviable array of career options upon graduation including:



Data science

Financial Services

Investment Management

Risk Management

Banking & Credit Risk

FinTech