The Higher Diploma in Data Analytics is a 1 year full time programme for graduates who already have a level 8 degree qualification in any subject with some mathematical content. Prospective students who do not have a level 8 qualification, but have the equivalent in professional experience, may be eligible under the Recognition of Prior Experiential Learning (RPEL) route. You can apply now by visiting the Springboard Courses website.
This inter-disciplinary course is a collaboration between Departments of Mathematics & Statistics, Computer Science and the National Centre for Geocomputation. It will prepare graduates with the knowledge and skills to collect, process, analyse and visualise data in order to extract useful information, explore statistical patterns, test hypotheses, and understand the implications of models.
Students will gain skills in programming, statistics and databases, followed by an advanced module on statistical machine learning, and also includes material on the social and ethical consequences of the use of data and the implications for business and government. The course has strong links with industry and includes a guest lecture series with a range of speakers from companies renowned for driving advances in data analytics in their respective industries. It also includes a work placement preparation module to prepare graduates for their future career.
For further information on course content, visit our Higher Diploma in Data Analytics programme page.
Closing date for applications is 31st August 2020, and the programme starts on 7th September 2020.
To qualify for free or significantly reduced fees for this programme under Springboard+, there are some criteria you would need to meet. Applicants will be asked to provide documents, along with the application, to verify the following:
Academic Eligibility
To meet the academic eligibility criteria for this programme, applicants should have a level 8 degree qualification in any subject with some mathematical content. Prospective students who do not have a level 8 qualification, but have the equivalent in professional experience, may be eligible under the Recognition of Prior Experiential Learning (RPEL) route. Visit the Recognising Professional Experience web page for further information. Applicants should submit their final transcript and parchment with their application, or an RPEL application form.
Applicant Category
You can apply for this programme if you are:
- Unemployed (in receipt of a DEASP payment) - eligible applicants pay no fees
- Previously self-employed - eligible applicants pay no fees if in receipt of DEASP, or 10% of the fee if not
- Returning to the workforce after some period of time; a Returner - eligible applicants pay not fees
- Employed - eligible applicants pay only 10% of the fee
- A recent graduate; can apply for this course directly after completing your undergraduate degree - eligible applicants pay only 10% of the fee
Nationality
Applicants must hold EU/EEA/Swiss nationality, or similar (refugee status, Stamp 4, etc. - Please visit the Springboard website for further information). Evidence of nationality to provide with your application can include:
- Copy of passport
- Copy of driver’s licence
- Copy of Stamp 4
Unemployed/previously self-employed applicants do not need to provide proof of nationality with their application.
Residency
Applicants must have been ordinarily resident in an EU/EEA/Swiss state for at least 3 of the 5 years preceding their entry to the programme, and be normally resident in Ireland at the time of course commencement. Evidence of residency can include things like:
- Utility bills
- Tax certificates
- Bank statements, etc.
Unemployed/previously self-employed applicants do not need to provide proof of residency with their application.
Graduates with Data Science skills are in short supply and the skill set is in high demand.
Moreover, the Data Analytics jobs market is expanding in Ireland. Data Analytics skills are needed in many activities, such as weather forecasting, scientific research, insurance calculations, stock market prediction, quality control, banking, among others. This is why jobs are available in any industry or sector that collects data, ranging from IT to Healthcare, Finance, Food science, Governmental Bodies, and Travel.
If you have any questions about this course, don't hesitate to get in touch! You can get in contact with the programme coordinator, Dr Rafael de Andrade Moral, by emailing rafael.deandrademoral@mu.ie
