MSc in Data Science and Analytics
A 12-month conversion programme equipping graduates with advanced data analysis, modelling, and visualisation skills for real-world applications.
Best for:Best for graduates with a strong mathematical background seeking to specialise in data science and analytics for industry or research applications.
Overview
The MSc in Data Science and Analytics at Maynooth University is a one-year conversion programme designed for graduates with a strong mathematical background. It provides specialised training in data collection, processing, analysis, and visualisation to extract meaningful insights and evaluate predictive models. The programme is ideal for those seeking to transition into data-driven careers or advance their expertise in quantitative fields. Students engage in hands-on projects and theoretical coursework to develop both technical and analytical skills. The curriculum emphasises applied mathematics, statistics, and computational techniques to prepare graduates for industry and research roles.
What you'll do
- Develop skills in collecting, processing, and analysing large datasets to extract meaningful insights.
- Learn advanced techniques in data visualisation to communicate findings effectively.
- Apply statistical and mathematical models to evaluate and predict patterns in data.
- Engage in hands-on projects to develop expertise in machine learning and data-driven decision-making.
- Study theoretical and practical aspects of data science to prepare for industry or research roles.
- Collaborate on group projects to solve real-world data challenges and develop teamwork skills.
Requirements
Degree required: A minimum of a 4-year bachelor's degree (NFQ Level 8) or equivalent, with a second-class honours, grade 1 (2:1) and a score of 65% or higher, including strong numeric content with three or four math modules.
Degree offered: MSc in Data Science and Analytics
Language: English proficiency (not explicitly stated but implied for academic programme).
Instruction: English
- Proven proficiency in three or four math modules including Applied Mathematics, Linear Algebra, Probability, and Integral/Differential Calculus.
- Minimum 60% in subjects such as Fourier Transforms, Graph Theory, Discrete Mathematics, and Numerical Methods.
- Strong quantitative and analytical skills.
- Ability to work with complex datasets and mathematical models.
- Applicants must hold a minimum of a 4-year bachelor's degree (NFQ Level 8) or equivalent.
- Minimum second-class honours, grade 1 (2:1) with a score of 65% or higher.
- Strong numeric content with specific math module requirements.
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
- Not confirmed by the source
- Teaching language
- Not confirmed by the source
- Taught / research mode
- Not confirmed by the source
- Study mode
- Not confirmed by the source
- Campus
- Not confirmed by the source
- Prerequisites
- Not confirmed by the source
- Application instructions
- Not confirmed by the source
- Tuition
- Not confirmed by the source
- Funding
- Not confirmed by the source
How to apply
Deadline: 2026-06-30
Applicants must apply through the official Maynooth University postgraduate application portal. The process involves submitting academic transcripts, proof of English proficiency (if applicable), a personal statement, and any additional documents specified by the programme. Applications are reviewed on a competitive basis.
- CV or resume
- Academic transcripts (Bachelor's degree)
- Proof of English proficiency (if not from an English-speaking country)
- Personal statement or statement of purpose
- Proof of meeting the minimum math module requirements
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.