Expand+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 ...

Hide-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

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

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

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.
...

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

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.

Who should apply?
Part Time option suitable for:
Domestic(EEA) applicants: Yes
International (Non EEA) applicants currently residing outside of the EEA Region. Yes

Expand+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

Ability to present technical materi...

Hide-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

Ability to present technical material at a level appropriate for any audience

Proficiency in several data science programming languages including R, python, SAS, and C

The ability to create scientific visualisations to explore, summarise, and interpret complex datasets

Approach problems in an analytical, precise and rigorous way

Model a broad variety of real-world problems in a statistical framework

Expand+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...

Hide-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.

Stage 1 - Option
Inference for Data Analytics (online)STAT30280
Introduction to Data Analytics (Online)STAT40720
Data Programming with R (Online)STAT40730
Multivariate Analysis (Online)STAT40740
Statistical Machine Learning (online)STAT40750
Adv Pred Analytics (online)STAT40770
Data Prog with C (online)STAT40780
Predictive Analytics I (onlineSTAT40790
Data Prog with Python (online)STAT40800
Stochastic Models (online)STAT40810
Monte Carlo (online)STAT40820
Adv Data Prog with R (online)STAT40830
Data Prog with SAS (online)STAT40840
Bayesian Analysis (online)STAT40850
Time Series (online)STAT40860
Adv Bayesian Analysis (online)STAT40950
Stat Network Analysis (online)STAT40960
Machine Learning & AI (online)STAT40970

Expand+Careers & Employability
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...

Hide-Careers & Employability
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)