The Higher Diploma in Statistics may be taken full-time over 9 months or part-time for 18 months over two academic years from the date of first registration for the programme. The coursework primarily consists of modules from the undergraduate honours programme in Statistics. No student may choose a module they have previously studied in another programme.

Applicants for this programme should normally have obtained at least Second Class Honours in a primary degree which included a substantial component of Mathematics or mathematically-based material.

Applications will also be considered from:

(i) BA or BSc (General) graduates who have graduated with commendation and have Mathematics as a degree subject;
(ii) BA or BSc Graduates with Third Class Honours in an appropriate area;
(iii) Other graduates whose degree programme included a substantial component of Mathematics or mathematically-based material, and who have at least two years' experience in the application of Statistical methods.

This programme is not open to graduates who have taken honours Statistics as a degree subject.

Students take 60 credits as follows:

Full-Time
ST2053 Introduction to Regression Analysis (5 credits)
ST2054 Probability and Mathematical Statistics (10 credits)
ST3054 Survival Analysis (5 credits)
ST3055 Generalised Linear Models (5 credits)
ST3061 Statistical Theory of Estimation (5 credits)
ST3062 Statistical Theory of Hypothesis Testing (5 credits)
ST3300 Data Analysis I (5 credits)
ST4050 Statistical Consulting (10 credits)
ST4064 Time Series (5 credits)
ST4090 Current Topics in Statistics I (5 credits)

Module Semester Information may be found here. Module Descriptions may be found here.

Examinations
Full details and regulations governing Examinations for each programme will be contained in the Marks and Standards 2018 Book and for each module in the Book of Modules 2017/2018.

Part-Time
Year 1
ST2053 Introduction to Regression Analysis (5 credits)
ST2054 Probability and Mathematical Statistics (10 credits)
ST3055 Generalised Linear Models (5 credits)
ST3300 Data Analysis I (5 credits)

Module Semester Information may be found here. Module descriptions may be found here.
Examinations
Full details and regulations governing Examinations for each programme will be contained in the Marks and Standards 2018 Book and for each module in the Book of Modules 2017/2018.

Year 2
ST3054 Survival Analysis (5 credits)
ST3061 Statistical Theory of Estimation (5 credits)
ST3062 Statistical Theory of Hypothesis Testing (5 credits)
ST4050 Statistical Consulting (10 credits)
ST4064 Time Series (5 credits)
ST4090 Current Topics in Statistics I (5 credits)

Module Semester Information may be found here. Module descriptions may be found here.

Examinations
Full details and regulations governing Examinations for each programme will be contained in the Marks and Standards 2018 Book and for each module in the Book of Modules 2017/2018.

Note: In any given academic year, at the discretion of the Head of the Department of Statistics, any of the modules ST3061, ST3062, ST3054, ST3055, ST4064, ST3300, ST4050 , ST4090 may be replaced by any of the following modules: ST3053, ST3074, ST4068, ST4401, ST4402, ST5901. Also, subject to the approval of the School, the specific distribution of courses in the programme may be altered to fit the needs of students who have achieved (e.g. as occasional students) a sufficient standard in some of the course elements.

Programme Learning Outcomes for Higher Diploma in Statistics (NFQ Level 8, Major Award)
On successful completion of this programme, students should be able to:

• Describe and apply probability theory and commonly used probability models;
• Describe and apply the fundamental theories of statistical inference;
• Formulate statistical models to address research hypotheses;
• Apply statistical software to implement statistical models and methodologies;
• Assess the assumptions underlying statistical models and methodologies;
• Interpret the results of statistical analysis to address research hypotheses and inform decision-making;
• Prepare reports and presentations of statistical analyses.