MSc in Data Science & Analytics
A joint programme in computer science and statistics offering hands-on training in cutting-edge data science principles and applications.
Best for:Best for graduates with a strong quantitative background in computer science, mathematics, engineering, or related disciplines who are eager to develop expertise in data science and analytics.
Overview
The MSc in Data Science & Analytics at University College Cork is a collaborative programme between the School of Computer Science and Information Technology and the Department of Statistics. It provides rigorous training in the core principles of data science, equipping students with the skills to extract insights from complex datasets. The curriculum blends computational techniques, statistical modelling, and domain-specific applications, preparing graduates for careers in industry, research, or further academic study. This programme is ideal for numerate graduates seeking to specialise in data-driven decision-making and analytical problem-solving. Applicants come from diverse backgrounds, including computer science, mathematics, engineering, and related fields, ensuring a multidisciplinary learning environment.
What you'll do
- Develop advanced skills in data collection, processing, and analysis using cutting-edge tools and techniques.
- Apply statistical and computational methods to solve real-world problems in diverse domains such as engineering, finance, and biosciences.
- Work on group projects and case studies to gain hands-on experience in data science applications.
- Engage in independent research or thesis work under faculty supervision to explore a specific area of interest within data science.
- Collaborate with peers from different academic backgrounds to foster interdisciplinary learning and problem-solving.
- Utilize data visualization tools to communicate insights effectively to stakeholders.
Requirements
Degree required: Second Class Honours Grade I in a primary honours degree (NFQ Level 8) in computer science, mathematical sciences, or a numerate discipline (e.g., engineering, finance, physics, biosciences, or economics). Alternatively, an undergraduate degree (NFQ Level 8) with at least 5 years of verifiable relevant industrial experience or 10 years of experience if no degree is held.
Language: English; proficiency demonstrated through an approved English language test (e.g., IELTS, TOEFL) for non-native speakers
Instruction: English
- Strong quantitative and analytical skills
- Proficiency in programming (e.g., Python, R, or similar)
- Familiarity with statistical software and tools
- Ability to work with large datasets and apply data mining techniques
- Problem-solving and critical thinking skills
- Applicants must meet the standard entry requirements or qualify under Recognition of Prior Learning (RPL) with relevant industrial experience.
- Candidates from Grandes Écoles Colleges with eligibility to enter the final year (M2) of a cognate programme may also apply.
- International applicants must meet equivalent academic grade requirements and provide valid English proficiency certification.
- Non-EU applicants must apply by 15 June or until all places are filled.
Funding & terms
Programme and admissions
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How to apply
Deadline: Open until all places are filled (Non-EU applicants: no later than 15 June) · open until filled
Applicants must first check the entry requirements and ensure they meet the academic grade equivalent to Irish standards. Non-native English speakers must provide a valid English proficiency certificate. Then, they should start the application process by clicking the ‘Apply Now’ button on the university’s application portal. All required documents, including academic transcripts and proof of English proficiency, must be submitted at the time of application.
- Academic transcripts and degree certificates
- Proof of English language proficiency (if applicable)
- Curriculum Vitae (CV)
- Statement of purpose or research proposal (if required)
- Letters of recommendation (if required)
- Proof of relevant industrial experience (if applicable)
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.