MSc in Financial Data Science
Equip yourself with cutting-edge data science skills to drive innovation in global financial services.
Best for:Best for graduates with a quantitative background in business, finance, engineering, physics, or mathematics seeking to specialize in data science for financial services.
Overview
The MSc in Financial Data Science at University College Dublin (UCD) prepares students to meet the growing demand for data science expertise in the financial sector. This programme integrates finance, data analytics, and technology to address challenges in fintech, blockchain, machine learning, and cloud computing. Students will develop practical skills to analyze complex financial data, leveraging emerging technologies like AI and cryptocurrencies. The curriculum is designed for graduates with quantitative backgrounds, ensuring they are industry-ready for careers in financial services. The programme emphasizes hands-on learning and real-world applications to equip students for leadership roles in data-driven finance.
What you'll do
- Develop advanced data science skills to analyze and interpret financial data using cutting-edge technologies.
- Learn to apply machine learning and AI to solve complex problems in financial services.
- Explore the integration of blockchain and cryptocurrencies in modern financial systems.
- Engage in hands-on projects that simulate real-world financial scenarios and challenges.
- Collaborate with peers and industry professionals to enhance problem-solving and teamwork skills.
- Gain expertise in cloud computing and big data analytics to support data-driven financial decision-making.
Requirements
Degree required: Undergraduate degree in Business, Finance, or any degree with a significant quantitative element (e.g., Engineering, Physics, Mathematics)
Degree offered: MSc in Financial Data Science
Language: English proficiency; IELTS 6.5 or TOEFL 90 (unless primary degree or entire third-level qualification was completed in English in an English-speaking country)
Instruction: English
- Proven quantitative analytical skills
- Basic proficiency in programming or data analysis tools (e.g., Python, R, SQL)
- Strong problem-solving and critical thinking abilities
- Open to domestic (EEA) and international (Non-EU) applicants for full-time study
- Part-time study open only to domestic (EEA) applicants
- Applicants may be required to take the GMAT or GRE at the discretion of the Programme Director
- Graduates of UCD Lochlann Quinn School of Business are exempt from submitting reference forms
Funding & terms
Programme and admissions
Admissions not verified
A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
- Not confirmed by the source
- Duration
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- Teaching language
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- Taught / research mode
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- Study mode
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- Campus
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- Prerequisites
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- Application instructions
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- Tuition
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- Funding
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How to apply
Deadline: unknown
Applicants must apply online through the UCD Graduate Applicants Portal. Submit an application form, academic transcripts, and any required reference forms. International applicants may need to provide proof of English proficiency. Part-time applicants should confirm eligibility based on residency status.
- CV or resume
- Academic transcripts
- Two completed academic reference forms (or employer references for part-time applicants)
- Proof of English proficiency (if applicable)
- GMAT or GRE scores (if required by the Programme Director)
Contact
UCD Smurfit Admissions Office· Admissions Staff
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