Part Time option suitable for:

Domestic(EEA) applicants: Yes
International (Non EEA) applicants currently residing outside of the EEA Region. Yes

This programme is aimed at students who wish to develop a career or further studies in data analytics and related disciplines. We encourage our students to have a passion for analysing large data sets, and to be autonomous learners who have a creative and critical approach to data analytics. We aim to provide a learning environment that will encourage students to constructively solve data problems in real-world situations, using a variety of software, and to tailor such solutions to individual data sets as they arise.

Online learning is a key feature of the programme, and we provide online videos and discussion boards, always backed-up by individual feedback from lecturers and tutors. At the most advanced levels of the programme, students are encouraged and expected to use and apply cutting-edge techniques from the latest research in their work. As a result of this approach to learning, the modules are assessed using a variety of tools including online assessment, individual project work to examine software-based skills, and written examinations to test mathematical ability.

• Ability to present technical material at a level appropriate for the audience
• Approach problems in an analytical, precise and rigorous way
• Demonstrate in-depth knowledge of the key skills required by a practicing data analyst, including data collection methods, statistical method development, knowledge and application of machine learning techniques.
• Demonstrate strong proficiency in computational methods, including computer programming and scientific visualization
• Model real-world problems in a statistical framework
• Use the language of logic to reason correctly and make deductions

View All Modules Here

The Online MSc in Data Analytics covers 18 5-credit modules, two per semester over 9 semesters or 3 years, of which the Online Professional Diploma in Data Analytics covers the first 4. This first year is designed to introduce you to statistical and mathematical concepts in Data Analytics and Statistical Machine Learning, and to get you started on programming with data. The second year is split between understanding the theory behind statistical and mathematical models for data via predictive analytics, and dealing with data sets at scale using Python and multivariate techniques. The final year covers some advanced methods Monte Carlo, Bayesian analysis, time series data, and complex stochastic models. 

Module Sequence 

MSc Data Analytics (F084) Part Time
EU/NONEU    fee per credit - € 134.8

***Fees are subject to change

Tuition fee information is available on the UCD Fees website. 

Students must have obtained an NFQ Level 8 undergraduate degree in a numerate subject to standard 2:1. Those with a lesser qualification award and/or no numerate subject degree, but with equivalent experience in industry, or relevant professional qualifications, will also be considered on a case-by-case basis. All applications are considered individually. The Applications Committee will have to assess all the modules taken during an applicant’s degree and individual results to check suitability. A rough guide to the mathematics we expect you to know on entry is available here: Self Assessment Quiz

An alternative entry route to the MSc is to enroll in the 20 credit Professional Diploma in Data Analytics and gain a grade point average of 3.08 or higher in the modules that make up this progamme (the Professional Diploma is made up of the first 2 semesters / first 4 modules, of the MSc programme).

• Professional Diploma Data Analytics PT

F057 - Professional Diploma Data Analytics (This Professional Diploma is identical in semesters one and two to the MSc, at which point the Professional Diploma ends and the MSc continues for a further 7 semesters/terms)

F140 - Mathematics for Data Analytics and Statistics  (Foundation programme to equip those without the necessary mathematical background with these skills)

The following entry routes are available: