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.

More details
  • Qualification letters

    GradCert

  • Qualifications

    Graduate Certificate

  • Attendance type

    Part time,Blended

  • Apply to

    Course provider