01/09/2017

11/09/2017

The CPD Diploma in Data Analysis for Professionals is a Level 8 diploma with a total award of 45 ECTS credits and will run over two 15 week semesters. It is part time and will be delivered in the evenings. The start date is September 2017.

The programme has been designed to cater for individuals from a diverse range of background for example business, accounting and finance, science, computing or engineering.

The programme aims to equip participants with the statistical and mathematical knowledge required to extract critical information from data sets. This will be achieved through the use of software packages such as Microsoft Excel and R. It also aims to enhance participants problem solving skills by strengthening their analytical capabilities.

A Level 7 qualification in science, engineering or computing backgrounds or a Level 8 qualification in business or accounting and finance.

Applicants who do not meet the above entry requirements will also be considered where they have demonstrated sufficient additional learning or circumstances that demonstrate their ability to succeed on the programme. In particular, analytic and numerate ability either through the discipline of their previous qualification or through their work or life experience will be considered.

Applicants with a background in numerate disciplines such as accounting and finance, science, computing or engineering and who are interested in learning statistical data analysis skills for the first time or building on their existing skills set would be well suited to this course.

The programme will develop the participants core skills associated with the principles of statistical modelling and analysis including how to interpret the results of the analysis, what conclusions can be drawn and how to formulate the data narrative. It will also enhance their problem solving and decision making skills by building and strengthening their analytical capabilities. A blend of theory and practise with a strong emphasis on the use of modern software packages, such as R will underpin the programme.

A core component of the programme is a 10 week business case study project, where students working in groups of three to five will practice what they have learned with an industry provided problem and related data set. Emphasis will be placed on the effective communication of the data analysis results across a diverse audience, essential for generating organisational buy-in.

The need for data analysis and statistical expertise within the public and private sectors has never been greater, brought about in part by the increase in the amount of data collected and analysed by organisations and also by the expectation on industry for excellence in the area of metrics and intelligence-based decision making. Statistics and data analysis is fundamental to identify customer, consumer and population trends, to model and predict likely future behaviour and to extract important quantitative information.

The programme is highly practical and grounded in the specific needs of organisations with respect to data analysis and problem formulation and solution. The blend of theory and practise with a strong emphasis on the use of modern software packages, such as R and the opportunity to work on a real industry problem will encourage participants to develop an innovative and creative approach to their work thus developing their capability to be independent and adaptive thinkers in the face of complex and dynamic problems and data sets.

Graduates of this programme are highly practical and grounded in the specific needs of organisations with respect to data analysis and problem formulation and solution. The programme produces innovative and creative graduates who are independent and adaptive thinkers in the face of complex and dynamic problems. Graduates from this programme will be industry ready and familiar with the techniques, modern software and approaches that are used in practice.

6.30pm (aprox) two evenings per week.
DIT Kevin Street, Dublin 8.

DIT Kevin Street, Dublin 8.

Assessment
The modules are assessed by a combination of continuous assessment undertaken during the semester and written examinations. Some modules involve practical tasks and are based solely on continuous assessment.

The Business Case Study Project module is assessed through a combination of a group summary report, a presentation and an individual project report.

Examinations for Semester I modules take place in January and examinations for Semester II modules take place immediately following the end of teaching in May. Reassessment takes place in August. Students are required to attend the Institute and be available for examinations.

Admissions

Admissions Office
Dublin Institute of Technology
143-149 Lower Rathmines Road
Dublin 6

+353 1 4023303

admissions@dit.ie

Apply on-line with scan of Transcript of Qualifications and CV