Master of Science in Financial Technology
A cutting-edge programme blending finance, technology, regulation, and data science to prepare graduates for careers in FinTech.
Best for:Best for professionals or graduates with a background in science, technology, computing, business, or finance seeking to specialise in the intersection of financial services and cutting-edge technology.
Overview
The Master of Science in Financial Technology at Dublin Business School is designed to equip students with advanced skills in finance, technology, regulation, and data science—key areas driving transformation in the financial services industry. This programme addresses the rapid evolution of skills required by employers, offering a mix of core modules in quantitative financial modelling, FinTech regulation, cybersecurity, distributed ledgers, data analytics, and machine learning. Students complete nine required modules and choose a capstone project, dissertation, or industry placement to apply their knowledge. The curriculum emphasizes critical thinking, research, and practical application, ensuring graduates are job-ready for roles in FinTech and related fields.
What you'll do
- Complete nine core modules covering quantitative financial modelling, FinTech regulation, cybersecurity, distributed ledgers, data analytics, and machine learning.
- Choose and complete a capstone project, dissertation, or industry placement to apply theoretical knowledge in real-world settings.
- Develop advanced critical thinking, research, writing, and analytical skills through coursework and independent study.
- Engage in collaborative learning through hybrid teaching methods, combining in-class and online sessions.
- Apply learned concepts to solve practical challenges in financial technology and data-driven decision-making.
Requirements
Degree required: A Level 8 honours degree (equivalent to a bachelor’s degree) with a minimum 2.2 GPA in a cognate discipline (science, technology, computing, business, finance, or related field), OR a Level 8 honours degree with a 2.2 GPA in a non-cognate discipline with at least 1-2 years of professional industry experience.
Degree offered: Master of Science (MSc)
Language: English proficiency at B2+ level (Common European Framework of Reference for Languages) for non-native speakers; undergraduate degree not taught in English may require additional proof of English proficiency.
Instruction: English
- Proficiency in quantitative analysis and financial modelling
- Basic understanding of technology and data science principles
- Strong analytical and problem-solving skills
- Ability to work collaboratively in hybrid learning environments
- Non-EU applicants residing outside Ireland/EU must apply directly to the International Admissions Office at Dublin Business School.
- Case-by-case evaluation for experiential learning; interviews may be required for applicants with significant industry experience but no formal degree in a cognate field.
Funding & terms
Programme and admissions
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How to apply
Applicants must complete the application form available on the Dublin Business School website. Non-EU applicants residing outside Ireland/EU should apply directly to the International Admissions Office. Written evidence of prior experiential learning may be required for case-by-case evaluation.
- Application form
- Written evidence of prior experiential learning (if applicable)
- Proof of English proficiency (if applicable)
- Transcripts and degree certificates
Contact
International Admissions Office· Admissions Contact
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