CPD Diploma in Data Analysis for Professionals (September 2020)

TU Dublin (DT8998)
Key Programme Details
Award

CPD Diploma in Data Analysis for Professionals

NFQ Level

Level 8 About NFQ

Delivery Method

Blended

Mode

Part Time

ECTS Credits

45

Department

School of Mathematical Sciences

General Information
Contact

Fiona Murray

Email

fiona.murray@TUDublin.ie

Phone

please contact via email

Address

TU Dublin City Campus

Role

Programme Coordinator

Important Dates
Application Deadline

09/09/2020

Start Date

21/09/2020

End Date

28/05/2021

About this Course

The TU Dublin, City Campus, CPD Diploma in Data Analysis for Professionals is a 45 ECTS credits, Level 8 diploma that runs over two 15 week semesters. It is part-time and is delivered in the evenings. The start date is September 2020 and the course runs until May 2021.

The programme has been designed for individuals from a diverse range of backgrounds, for example, business, accounting and finance, science or engineering. It provides the knowledge, skill-set and technical ability required to cross and upskill learners in the analysis and understanding of information and data. This will equip participants for roles as data and business analysts across a variety of sectors.

Objectives

Develop practical data analysis skills embedded in statistical theory.
Learn the R/RStudio software package.
Learn how to interpret the results of statistical analysis.
Strengthen analytical capabilities.
Work as part of a team on a data set provided by industry.
Learn data wrangling techniques.
Learn how to extract information from a data set.

Entry Requirements

The minimum entry requirements are a Level 7 qualification in science, engineering or computing backgrounds or a Level 8 qualification in business or accounting and finance.

Long Description

The TU Dublin, City Campus, CPD Diploma in Data Analysis for Professionals is a 45 ECTS credits, Level 8 diploma that runs over two 15 week semesters. It is part-time and is delivered in the evenings. The start date is September 2020 and the course runs until May 2021.

The programme has been designed for individuals from a diverse range of backgrounds, for example, business, accounting and finance, science or engineering. It provides the knowledge,skill-set and technical ability required to cross and upskill learners in the analysis and understanding of information and data. This will equip participants for roles as data and business analysts across a variety of sectors.

The programme develops practical data analysis skills that are embedded in statistical theory with an emphasis on theory through practice. Participants learn how to interpret the results of an analysis, what conclusions may be drawn and how to formulate the data narrative. It cultivates participant's 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 software packages, such as R/RStudio, underpin the programme.

A key component of the programme is a 15 week business case study project. Students, working in groups of up to five, will practice what they have learned with an industry-provided problem and related data set. Students present the results of their work and findings through a presentation, an executive summary and a detailed project report. Emphasis will be placed on the effective communication of the data narrative and data analysis findings.

Learners acquire the knowledge and skills necessary to be a highly-skilled organisational enabler who can identify and instigate opportunities for key improvements and efficiencies in their business area through the provision of sound business intelligence.

Timetable Info

Two evenings a week:
Evening One: 6.30 pm to 8.30pm
Evening Two: 6.30 pm to 9.30pm

Delivery Location

Online /TU Dublin City Campus

Delivery Notes

Semester 1: Primarily remote delivery with limited face-to-face interaction as permitted by health advice and any easing of restrictions.

Semester 2: Blended learning in keeping with public health situation.

RPL Information

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.

Application Procedures

Please upload a single zip file with: CV; a copy of transcripts of Level 7 or Level 8 award; a copy of passport; proof of employment/Social Welfare benefit/Returner/Self-Employed