Part Time option suitable for:

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

Part Time option suitable for:

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

The MA contains two streams – Mathematics or Applied and Computational Mathematics. Both streams offer an attractive alternative to the more standard 24-month pathway of the Higher Diploma followed by the MSc in Mathematical Sciences. On successful completion of the programme you will have the knowledge, experience and confidence to pursue a PhD in mathematics, or a related discipline, have attained an advanced and modern mathematical and computational training, developed excellent presentation skills and acquired a much soughtafter qualification that can be applied to a wide variety of careers in the quantitative, financial, and IT sectors.

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 trimester over 9 trimesters 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 

Full module descriptors

MSc Data Analytics (F084) Part Time
EU/NONEU    fee per credit - € 140.2

***Fees are subject to change

Fees are paid per credit. Further information is available on the UCD Fees website. 

• This programme is intended for applicants with a degree in a numerate subject. An upper second class honours or international equivalent is required. Those without this requirement, but with equivalent experience in industry, will also be considered on a case by-case basis, or can apply for the Professional Certificate in Mathematics for Data Analytics and Statistics which leads directly into the Data Analytics programme.
• Applicants whose first language is not English must also demonstrate English language proficiency of IELTS 6.5 (no band less than 6.0 in each element), or equivalent

School of Mathematics and Statistics Application Process FAQ

These are the minimum entry requirements – additional criteria may be requested for some programmes 

Staff Profile
Professor Gary McGuire,
UCD School of Mathematical Sciences

Gary McGuire is the director of the Claude Shannon Institute for Coding Cryptography and Discrete Mathematics, which is part of the Security and Trust cluster of CASL. “I have taught Elliptic Curve Cryptography, which takes students from the mathematical theory of elliptic curves to its real-world applications in cryptography. I am the director of the Claude Shannon Institute, where we have a team doing cutting-edge research in cryptography and coding theory.”

• Professional Diploma Data Analytics PT

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

F140 - Mathematics for Data Analytics and Statistics  (This programme covers Linear Algebra and Calculus which will equip students without the necessary mathematical background to complete our later postgraduate programmes in data analytics and statistics)

The following entry routes are available: