Statistics
GradCert Statistics
Graduate Taught (level 9 nfq, credits 30)
The Graduate Certificate in Statistics is a part-time programme over two trimesters.
The programme provides the students with both foundational modules on probability and statistics, as well as a wide range of more advanced and specialised statistics modules. The foundational modules offer a formal preparation on the mathematical aspects of probability and statistics. At the same time, the students gain access to advanced statistics modules which allow them to specialise in a particular area of interest.
This programme is ideal for part-time students who are interested in gaining an advanced knowledge of a specific area of statistics, in that the programme offers a streamlined pathway into achieving this goal, within two trimesters. In addition, the programme can be used to gain access to other graduate degrees, such as the EMOS-certified MA Statistics or the MSc Statistical Data Science.
The Graduate Certificate in Statistics does not require any prior knowledge of statistics, however, a demonstrated numerical ability is essential.
Subjects taught
Stage 1 - Core
Inferential Statistics STAT20100
Introduction to Probability STAT20110
Stage 1 - Option
Bayesian Analysis STAT20180
Predictive Analytics I STAT30240
Advanced Predictive Analytics STAT30250
Statistical Machine Learning STAT30270
Actuarial Statistics I STAT40020
Design of Experiments STAT40110
Categorical Data Analysis STAT40120
Multivariate Analysis STAT40150
Survival Models STAT40250
Monte Carlo Inference STAT40400
Data Programming with R STAT40620
Stochastic Models STAT40680
Time Series Analysis - Act App STAT40700
Data Programming with R (Online) STAT40730
Multivariate Analysis (Online) STAT40740
Statistical Machine Learning (online) STAT40750
Adv Pred Analytics (online) STAT40770
Predictive Analytics I (online) STAT40790
Data Prog with Python (online) STAT40800
Monte Carlo (online) STAT40820
Bayesian Analysis (online) STAT40850
Time Series (online) STAT40860
Machine Learning & AI (online) STAT40970
Stat Network Analysis STAT41010
Official Statistics STAT41030
Entry requirements
Applicants must have a minimum of an upper second class honours degree in a numerate discipline or a cognate subject area.
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.
Application dates
How to apply?
The following entry routes are available:
Grad Cert Statistics PT (T367)
Duration
9 Months
Attend
Part Time
Deadline
Rolling*
* Courses will remain open until such time as all places have been filled, therefore early application is advised.
Duration
9 months part-time. Mode of Delivery: Blended.
Enrolment dates
Next Intake: 2024/2025 September.
Post Course Info
Careers & Employability
The Graduate Certificate in Statistics unlocks a variety of different opportunities both regarding potential study careers and regarding professional employments employment. This part-time programme provides a flexible framework to strengthen the student's skills as a statistician and data analyst. Nowadays, these skills are essential and in high demand for a variety of jobs in data science, the pharmaceutical industry, banking, finance, and risk management.
Professionals can benefit from the Graduate Certificate in Statistics since it allows them to consolidate their formal knowledge of statistics, as well as to specialise in a specific statistics area of interest.