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# Statistics

This course is available through the following application route(s)

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.

- Approach problems in an analytical, precise and rigorous way

- Demonstrate strong proficiency in the mathematical aspects of probability and statistics

- Model real-world decision-making problems using a formal statistical framework

- Demonstrate in-depth knowledge and strong proficiency in an advanced statistics topic or area

- Use the language of logic to reason correctly and make deductions

Module Type Module   Trimester Credits
Stage 1 Core Modules
STAT20110 Introduction to Probability Autumn  5
Stage 1 Core Modules
STAT20100 Inferential Statistics Spring  5
Stage 1 Options - A) Min 0 of:
Students must choose 20 credits worth of modules to be taken over two trimesters.
STAT20230 Modern Regression Analysis Autumn  5
Stage 1 Options - A) Min 0 of:
Students must choose 20 credits worth of modules to be taken over two trimesters.
STAT30340 Data Programming with R Autumn  5
Stage 1 Options - A) Min 0 of:
Students must choose 20 credits worth of modules to be taken over two trimesters.
STAT40020 Actuarial Statistics I Autumn  5
Stage 1 Options - A) Min 0 of:
Students must choose 20 credits worth of modules to be taken over two trimesters.
STAT40250 Survival Models Autumn  5
Stage 1 Options - A) Min 0 of:
Students must choose 20 credits worth of modules to be taken over two trimesters.
STAT40400 Monte Carlo Inference Autumn  5
Stage 1 Options - A) Min 0 of:
Students must choose 20 credits worth of modules to be taken over two trimesters.
STAT40680 Stochastic Models Autumn  5
Stage 1 Options - A) Min 0 of:
Students must choose 20 credits worth of modules to be taken over two trimesters.
STAT40700 Time Series Analysis - Act App Autumn  5
Stage 1 Options - A) Min 0 of:
Students must choose 20 credits worth of modules to be taken over two trimesters.
STAT40730 Data Programming with R (Online) Autumn  5
Stage 1 Options - A) Min 0 of:
Students must choose 20 credits worth of modules to be taken over two trimesters.
STAT40790 Predictive Analytics I (online Autumn  5
Stage 1 Options - A) Min 0 of:
Students must choose 20 credits worth of modules to be taken over two trimesters.
STAT40800 Data Prog with Python (online) Autumn  5
Stage 1 Options - A) Min 0 of:
Students must choose 20 credits worth of modules to be taken over two trimesters.
STAT40820 Monte Carlo (online) Autumn  5
Stage 1 Options - A) Min 0 of:
Students must choose 20 credits worth of modules to be taken over two trimesters.
STAT40860 Time Series (online) Autumn  5
Stage 1 Options - A) Min 0 of:
Students must choose 20 credits worth of modules to be taken over two trimesters.
STAT41020 Survey Sampling Autumn  5
Stage 1 Options - A) Min 0 of:
Students must choose 20 credits worth of modules to be taken over two trimesters.
STAT41030 Official Statistics Autumn  15
Stage 1 Options - A) Min 0 of:
Students must choose 20 credits worth of modules to be taken over two trimesters.
STAT20180 Introduction to Bayesian Analysis Spring  5
Stage 1 Options - A) Min 0 of:
Students must choose 20 credits worth of modules to be taken over two trimesters.
STAT30250 Advanced Predictive Analytics Spring  5
Stage 1 Options - A) Min 0 of:
Students must choose 20 credits worth of modules to be taken over two trimesters.
STAT30270 Statistical Machine Learning Spring  5
Stage 1 Options - A) Min 0 of:
Students must choose 20 credits worth of modules to be taken over two trimesters.
STAT40080 Nonparametric Statistics Spring  5
Stage 1 Options - A) Min 0 of:
Students must choose 20 credits worth of modules to be taken over two trimesters.
STAT40150 Multivariate Analysis Spring  5
Stage 1 Options - A) Min 0 of:
Students must choose 20 credits worth of modules to be taken over two trimesters.
STAT40740 Multivariate Analysis (Online) Spring  5
Stage 1 Options - A) Min 0 of:
Students must choose 20 credits worth of modules to be taken over two trimesters.
STAT40750 Statistical Machine Learning (online) Spring  5
Stage 1 Options - A) Min 0 of:
Students must choose 20 credits worth of modules to be taken over two trimesters.
STAT40770 Adv Pred Analytics (online) Spring  5
Stage 1 Options - A) Min 0 of:
Students must choose 20 credits worth of modules to be taken over two trimesters.
STAT40850 Bayesian Analysis (online) Spring  5
Stage 1 Options - A) Min 0 of:
Students must choose 20 credits worth of modules to be taken over two trimesters.
STAT40970 Machine Learning & AI (online) Spring  5
Stage 1 Options - A) Min 0 of:
Students must choose 20 credits worth of modules to be taken over two trimesters.
STAT41010 Stat Network Analysis Spring  5
EU          fee per year - € 3220
nonEU    fee per year - € 9700

***Fees are subject to change

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

Part Time option suitable for:

Domestic(EEA) applicants: Yes
International (Non EEA) applicants currently residing outside of the EEA Region. No

The Graduate Certificate in Statistics is aimed at students who have an undergraduate degree in a discipline related to Statistics and with numerate skills. Compulsory modules are intended to ensure that all students have a formal preparation on probability and statistics, while optional modules include a wide range of advanced statistical methods and applications. The compulsory modules are delivered face-to-face, whereas the option modules include both face-to-face and fully-online modules.

General application route(s) to Statistics:

ROWCLASS Apply to   Application Type
showAudience-audienceEU showAudience-audienceInt T367
Statistics