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Data Analytics

This online course will help you analyse and understand the large data sets that are regularly being created via the huge growth in freely available online information.

There is a huge ongoing growth in demand for graduates with these valuable skills in a wide range of industries, and currently a shortage of qualified graduates.

Students will be given videos, online demonstrations, and interactive games to enhance their learning, with regular feedback and interaction via course tutors through the UCD website

More detailed information about the programme is available on the programme website.

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 Data Mining, 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.

Entry requirements

Students must have obtained a first degree in a numerate subject to standard 2:1. Those without this requirement but with equivalent experience in industry 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).


Duration: 3 Years
Attendance: Part Time

Number of credits


Careers or further progression

Data Analysts are in strong demand from industry; those who are successful in completing the course are highly employable in fields as diverse as pharmaceuticals, finance and insurance, as well as cloud computing. Prospective employers include any company that requires detailed, robust analysis of data sets.

Some examples include:
• ICT companies (e.g., Google, eBay, Facebook, Amazon, Paddy Power)
• The pharmaceutical industry (e.g., Janssen, Merck, GSK)
• The financial services industry (e.g., Bank of Ireland, AXA, EY, Accenture, Deloitte)

Further enquiries

Contact Name: Simon Williams
Contact Number: +353 1 716 2580

Subjects taught

COMP41490 Java Technologies
COMP41600 Professional Java Programming Part 1
COMP41620 Professional Java Programming Part II
STAT30280 Adv Data Analytics (online)
STAT40720 Introduction to Data Analytics (Online)
STAT40730 Data Programming with R (Online)
STAT40740 Multivariate Analysis (Online)
STAT40750 Data Mining (Online)
STAT40770 Adv Pred Analytics (online)
STAT40780 Data Prog with C (online)
STAT40790 Predictive Analytics I (online
STAT40800 Data Prog with Python (online)
STAT40810 Stochastic Models (online)
STAT40820 Monte Carlo (online)
STAT40830 Adv Data Prog with R (online)
STAT40840 Data Prog with SAS (online)
STAT40850 Bayesian Analysis (online)
STAT40860 Time Series (online)


MSc Data Analytics
Graduate Taught (level 9 nfq, credits 90)

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

Application date

Deadline: Rolling*
* Courses will remain open until such time as all places have been filled, therefore early application is advised.

Enrolment and start dates

Next Intake: 2018/2019 September

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