Certificate in Data Analytics
The Certificate in Data Analytics is a recently developed 1-year part-time conversion programme devised in response to the highlighted need for data savvy graduates. It will provide learners with skills in the areas of statistics, programming and databases that will enable them to transfer much of the domain specific knowledge/skill already gain in their primary degree(s) to the IT and Data Analytics sector.
Important notice about this course
NOW ENROLLING FOR AUTUMN
Data Analytics is a contributor to key technologies in many areas of Business, Engineering and Computing. This programme is a first step into the area of Data Analytics, providing upskilling and reskilling opportunities. This 1-year part-time programme, consists of a technical subset of the modules being offered in year 1 of the Higher Diploma in Data Analytics. It aims to provide participants with a strong foundation in statistical techniques, spreadsheet technologies and statistical programming using R.
- Statistics using R - 1
- Spreadsheet Data Analytics
- Applied Database Systems
- Statistics using R - 2
Course runs Monday and Wednesday evenings 18:00–21:00 (subject to demand).
The course fee is €1,000. The fee is payable as follows:
- Payment 1: Application Fee = €50 (Refundable if you are not made an offer of a place on the course)
- Payment 2: Accept Offer Fee = €100 (Non-refundable)
- Payment 3 of €350 is payable by 31st October 2019
- Payment 4 of €500 is payable by 28th February 2020
ANY Honours (Level 8) Degree with 15 credits of Mathematics and/or Statistics
Level 7 Degree with 15 credits of Mathematics and/or Statistics AND at least 2 years of work experience.
This course is aimed at candidates with strong numeracy skills and a basic knowledge of statistics who wish to become more data savvy. No prior programming exposure is required.
|School||School of Informatics & Creative Arts|
|Department||Computing Science and Mathematics|
|Awarding Body||Dundalk Institute of Technology|
|Starting Date||Monday 23rd September 2019 at 6pm|
How to Apply
You can enrol online for this course via the button below: