The Higher Diploma in Statistics course is designed for graduates whose degrees have substantial mathematical content, and who want to develop their expertise in the application of statistical methods and broaden their career opportunities. The course may also be taken as a foundation for entry into the MSc Degree in Statistics. The course may be taken over one year (full time) or two years (part-time).
There is a continuing demand by employers for numerate graduates. There are many new opportunities in commerce, government, industry, medicine and research for graduates who have added to their first degree with the training in quantitative and computing skills provided by the Higher Diploma in Statistics.
The Higher Diploma in Statistics consists of coursework divided into nine core modules. These modules are a blend of theoretical and applied statistics.
Why Choose This Course
This course provides you with a thorough theoretical grounding in statistics as well as a giving you practical experience of analysing real data.
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 under Recognition of Prior Learning (RPL) 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.
English Language Requirements
Applicants that are non-native speakers of the English language must meet the university approved English language requirements.
For applicants with qualifications completed outside of Ireland:
Applicants must meet the required entry academic grade, equivalent to Irish requirements.
For full details of the non-EU application procedure please visit our how to apply pages for international students. In UCC, we use the term programme and course interchangeably to describe what a person has registered to study in UCC and its constituent colleges, schools, and departments.
For more information please contact the International Office.
Five modules (30 credits) are examined exclusively by continuous assessment. The remaining four modules (30 credits) are examined by both continuous assessment (worth 20% of the module mark) and end-of-year written examinations (worth 80% of the module mark).
The continuous assessments can be written home-work, computer practical assignments, in-class tests, written data analysis reports or computer practical examinations.
Modules (60 credits)
Probability and Mathematical Statistics (10 credits)
Statistical Theory (10 credits)
Introduction to Regression Analysis (5 credits)
Data Analysis I (5 credits)
Generalised Linear Models (5 credits)
Time Series (5 credits)
Survival Analysis (5 credits)
Current Topics in Statistics I (5 credits)
Statistical Consulting (10 credits)
The applied modules also equip you with advanced practical software-oriented skills in popular statistical software packages such as R, SAS and SPSS.
Students taking the part-time option take 25 credits in year 1 and the remaining 35 credits in year 2.
Further details on the modules listed above can be found in our book of modules. Any modules listed above are indicative of the current set of modules for this course but are subject to change from year to year.
You can find the full academic content for the current year of any given course in our University Calendar.
1 year Full-time; 2 years Part-time.
Additional Teaching Mode Information
The part-time option will be taught during weekday working hours over 2 years
Post Course Info
Skills and Careers Information
The course offers you the opportunity for further study at master's degree level or employment in areas such as medical research, the pharmaceutical industry, government departments/agencies, sales and marketing research, finance and banking, the insurance industry and software development and support.