PostGraduate Course

MSc

Financial Data Science

University College Dublin - UCD
University College Dublin - UCD
Course Code
B746 B747
Zone
Attendance
Part time

Course Summary

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. This MSc in Financial Data Science will equip students for a career addressing global business needs for data science expertise particularly in the financial services industry.

College Link

University College Dublin - UCD
College Link > B746 B747 - Financial Data Science

Colleges often have information about the course on their own website, along with other useful information relating to the college. (Note: Not always available)

Career Sectors

This course prepares you for working in the Career Sectors below. Follow the links to get a fuller understanding of the sectors you are preparing for.

Entry Requirements

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.
https://www.smurfitschool.ie/admissions/internationalapplicants/englishlanguagerequirements/

Some students might have to get a student visa in order to come and study in Ireland. Please check the Irish Naturalisation and Immigration Services website to see if you require a visa. Non-EU students who are not residents of Ireland can apply for part-time courses that are 100% online, and in this case, a visa is not required.
https://www.irishimmigration.ie/

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://www.ucd.ie/registry/prospectivestudents/admissions/rpl/

Application Details

Apply online

Who Should Apply?
Full Time option suitable for:
Domestic(EEA) applicants: Yes
International (Non EU) applicants: Yes

Part Time option suitable for:
Domestic(EEA) applicants: Yes
International (Non EEA) applicants: No

B746 Financial Data Science Master of Science Full-Time
Commencing September 2026
Graduate Taught (UCD Michael Smurfit Graduate Business School)

B747 Financial Data Science Master of Science Part-Time
Commencing September 2026
Graduate Taught (UCD Michael Smurfit Graduate Business School)

Fees

Fees Full-Time EU:
€19,500 (academic year 2024/2025)

Full-Time Non-EU:
€27,450 (academic year 2024/2025)

Fees Part-Time EU:
€9,980 per year* (academic year 2024/2025)

Part-Time Non-EU:
€13,720 per year* (academic year 2024/2025)

Important Note: Tuition fees and other charges are subject to change each year. *Part-Time students may be subject to fee increases in Year 2.

UCD Alumni can now enjoy a 5% tuition reduction when they are accepted to a programme at UCD Smurfit School. T's and C's apply.

The Student

Career Interests

This course is typically suited for people with the following Career Interests. If these interests do not describe you, this course may prepare you for work you may not find satisfying.

Enterprising

Enterprising people like situations that involve using resources for personal or corporate economic gain. Such people may have an opportunistic frame of mind, and are drawn to commerce, trade and making deals. Some pursue sales and marketing occupations. Many will eventually end up owning their own business, or in management roles in larger organisations. They tend to be very goal-oriented and work best when focused on a target. Some have an entrepreneurial inclination.


Investigative

The Investigative person will usually find a particular area of science to be of interest. They are inclined toward intellectual and analytical activities and enjoy observation and theory. They may prefer thought to action, and enjoy the challenge of solving problems with sophiscticated technology. These types prefer mentally stimulating environments and often pay close attention to developments in their chosen field.


Career Progression

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

100% 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 2025.

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

Data science
Financial Services
Investment Management
Risk Management
Banking & Credit Risk
FinTech

Duration

B746 12 months full-time,
B747 24 months part-time.
Delivery: On Campus
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