MSc in Mathematical Modelling and Machine Learning
A multidisciplinary master’s programme blending advanced mathematical techniques with machine learning for real-world problem-solving.
Best for:Best for graduates with a strong mathematical foundation seeking to specialize in machine learning and computational problem-solving for complex systems.
Overview
This MSc programme at University College Cork focuses on training students in modern numerical methods and machine learning software. It equips graduates with skills to develop and apply mathematical models and algorithms to complex systems, including networks and self-learning systems. The curriculum integrates theoretical knowledge with practical applications, preparing students for careers in data-driven research and industry. Applicants should have a strong background in mathematics, applied mathematics, or statistics, with proficiency in calculus, vectors, and matrices. The programme is designed for numerate disciplines and offers a blend of theoretical rigor and hands-on computational experience.
What you'll do
- Develop and apply advanced numerical methods and machine learning techniques to solve real-world problems.
- Engage in computational modeling and simulation for complex networks and self-learning systems.
- Conduct research projects under faculty supervision, integrating mathematical theory with practical applications.
- Collaborate on interdisciplinary projects combining mathematics, statistics, and computer science.
- Utilize software tools tailored for complex systems and data analysis.
- Present research findings and participate in academic discussions and seminars.
Requirements
Degree required: A Second Class Honours Grade I (or equivalent) in a primary honours degree (Level 8, National Framework of Qualifications) in a numerate discipline (e.g., science, engineering, mathematics, or related fields).
Language: English; proficiency meeting university-approved English language requirements (e.g., IELTS or TOEFL scores if applicable).
Instruction: English
- Familiarity with calculus, vectors, matrices, and elementary statistics at the university level.
- Strong background in mathematics, applied mathematics, or statistics.
- Proficiency in university-level mathematics as assessed by the course coordinator.
- Access to a laptop or home computer with an internet connection for coursework.
- Applicants must meet the required academic grade equivalent to Irish Level 8 qualifications.
- Applicants from Grandes Écoles Colleges must be eligible to enter the final year (M2) of their programme in a cognate discipline.
- All applicants must be approved by the director of the MSc programme.
- No specific nationality or residency restrictions, but international applicants may have additional application procedures.
Funding & terms
Programme and admissions
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- Intake
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- Prerequisites
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How to apply
Deadline: Rolling deadline; open until all places are filled (non-EU applicants: no later than 15 June). · open until filled
Applicants must submit their application through the university’s official portal. Required documents include academic transcripts, proof of English proficiency (if applicable), a statement of purpose, and a CV. International applicants should follow the non-EU application procedure outlined on the university’s website. Early application is strongly advised.
- CV
- Cover letter or statement of purpose
- Academic transcripts (BSc + MSc if applicable)
- Proof of English language proficiency (if non-native speaker)
- Letter of approval from the course coordinator (if required)
Contact
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