Statistics & Data Analysis

Why was this course developed?
The Certificate in Statistics and Data Analysis was developed following a Scientific Skills Survey which was conducted by the Wales Ireland Network for Scientific Skills (WINSS) team to address the scientific skills gaps within industries based in Dublin, Meath, Kildare, Waterford, Kilkenny, Wexford, Wicklow, Carlow, South Tipperary, Cork and Kerry. The survey was sent to more than 100 companies in the pharmaceutical/biotechnology, medical device and food sectors. Transferable skills such as project management, data handling and analysis, statistics and IT skills are in high demand based on the response from 70% of the companies surveyed. Of the transferable skills listed, the skills most commonly required by the companies (84%) required training in the area of data handling and analysis. Recognising this demand, the Certificate in Statistics and Data Analysis was devised to provide advanced level training and address this skills deficit.

This programme aims to develop the learner's competence in the application of modern techniques of data analysis in the context of analytical method development. The learner will be enabled to apply statistical analysis processes to data sets and interpret the results in order to quantify data quality and compare data sets. These data sets will deal with real world applications from the pharmaceutical, biopharmaceutical and food industries. The learner will also develop competence in a range of process control tools and minimisation strategies. Dedicated statistical software packages will be used for the delivery of this programme, features of which will enable the student to perform a comprehensive analysis and assessment of data quality. Continuous improvement and data-driven decisions will also be emphasised throughout the course of the module.

What are the learning outcomes?
On successful completion of this module, a student will be able to:
1.Critically analyse analytical data using appropriate descriptive statistics tests.
2.Critically assess data sets based on applied inter-comparison significance tests.
3.Critically analyse analytical data using statistical software packages.
4.Synthesise and integrate process capability indices as a statistical measure of process capability.
5.Justify the usefulness of Shewhart control charts, CUSUM charts and other control charts to control a process.
6.Critically evaluate sampling plans and statistical analysis of quality in product batches.

Entry requirements

The Certificate in Statistics and Data Analysis programme is aimed at those already working in the pharmaceutical, biopharmaceutical and food industries. This programme is also suitable for students intending to/already undertaking postgraduate research study.

Statistics and Data Analysis Entry Requirements
•Applicants for entry to this Certificate course should hold a bachelor's degree at honours level minimum 2.2 (Level 8) in an appropriate subject area or equivalent qualification.

•In addition, in order to fully appreciate the industrial impact of the content of this programme, it has been deemed necessary to have a minimum of two years relevant industrial experience.

•Applicants whose first language is not English must submit evidence of competency in English, please see WIT's English Language Requirements for details.


4 months part-time.

How is this course delivered?
•The Certificate in Statistics and Data Analysis programme is taught using a block approach on a part-time basis to facilitate students in full-time employment.
•Since this course is also offered as one module of the two year MSc in Analytical Science with Quality Management programme, the Certificate in Statistics and Data Analysis is only offered once every two years. The course will next run in May 2019, subject to sufficient student numbers.
•Over the duration of the programme, students will be required to attend WIT for 8 days. The delivery dates for 2019 are as follows:

◦Thursday and Friday 2 & 3 May
◦Thursday and Friday 16 & 17 May
◦Thursday and Friday 30 & 31 May
◦Thursday and Friday 13 & 14 June

•This programme will be delivered through a blend of lectures, tutorial sessions and IT practicals, as well as independent study. Lectures will be used to introduce the concepts behind a range of data handling and analysis tools, and a variety of statistical tests. This material will be significantly expanded upon and developed through problem-solving, an approach that will be adopted during tutorial sessions. IT practicals will also be used to demonstrate how data analysis tools and dedicated statistical software packages can be used to evaluate relationships in scientific data.

•Continuous assessment will be carried out throughout the course of the programme.

Number of credits


Careers or further progression

This course places a strong emphasis on the professional development of the graduate and is aimed at students already working in an industrial environment. Such a qualification will enable and facilitate career progression for graduates in the region.

Further study opportunities
This programme can be taken as a stand-alone Certificate worth 10 credits at level 9, or if the student wishes, they can use these credits towards the 60 credit Postgraduate Diploma in Analytical Science with Quality Management (WD 519) or the 90 credit MSc in Analytical Science with Quality Management (WD 520).

Further enquiries

Course Leader
Dr. Kathleen Grennan
BSc PhD - Lecturer
Tel: 51302047


Campus: Cork Road

Course fee


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