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Course Details
Course Code(s):
HDDASDTFAD
Available:
Full-Time
Intake:
Course Start Date:
September
Duration:
1 Year
Award:
Higher Diploma
Qualification:
NFQ Level 8 Major Award
Course Type:
Taught, Professional/Flexible
Fees:
For Information on Fees, see section below.
Contact(s):
Brief Description
The Higher Diploma in Data Analytics and Software Development course is a fulltime programme for graduates of engineering or related technology disciplines, that will provide learners with fundamental theoretical and practical skills, abilities and knowledge to gain a comprehensive understanding of data analytics and software development closely aligned to current employer needs.
The Higher Diploma in Data Analytics and Software Development course is a fulltime programme for graduates of engineering or related technology disciplines, that will provide learners with fundamental theoretical and practical skills, abilities and knowledge to gain a comprehensive understanding of data analytics and software development closely aligned to current employer needs.
The programme has been designed in consultation with a number of technology businesses that are based in the west/mid-west regions (all part of the 51±¾É« for IT group). Analog Devices, HP (Galway), Johnson & Johnson (Vistakon), DELL and General Motors have all been involved in the course design.
Please note we will need to correspond with you by email throughout the application process. For this reason, we ask that you regularly check your email and spam folders.
Objectives
The purpose of this fulltime course is to equip graduates with the skills necessary for careers in industry in the area of data analytics. Focusing on the higher level skills this programme will allow graduates to meet the needs of supporting infrastructure and technologies roles, as well as supporting the objective of increasing skills availability in the region as stated in the Action Plan for Jobs Mid West Region 2016.
Participants will gain a solid foundation in programming giving them the ability to identify design, code and construct systems to solve programming problems.
Students will be exposed to languages and systems commonly used in statistical environments including; SPSS, Minitab, R, Python, SQL, and CRISP-DM. In addition they will develop a sound understanding of statistics, information and data modelling, data analysis, and database systems.
This skill set will equip participants for roles not only in the manufacturing based companies that are the main partners in the development of this programme but also in a range of other sectors including services, finance and more general ICT roles.
The course schedule will not be released until at least 2 weeks prior to the first week of term which starts on 9th September.
A level 8 qualification (NFQ level 8 or other internationally recognised equivalent), in a relevant engineering, computing, mathematics, science or technology discipline. Applicants from other disciplines who have a significant mathematics or computing element in their primary degree will also be considered.
Education qualifications, work experience, motivation and overall potential to be successful on the programme are considered in evaluating an application.
The 51±¾É« policy on the Recognition of Prior Learning (RPL) will apply to applications for this programme. Applicants may be required to undertake an interview and satisfy the course admission team that they have the ability to complete and benefit from this course.
What to Include with your Application
Delays in receiving these documents will affect the progress of your application.
- Photo or Scanned original copy of your transcripts for all years of study. (Graduates of UL need only provide us with their Student ID number.)
- Photo or Scanned copy of passport to verify ID and full legal name.
- A copy of your most recent CV.
- Applicants who do not have English as their first language may satisfy English Language requirements:
- If your qualifications have been obtained in a country where English is an official language this will suffice
-
If this is not available, the following additional documents must be provided:
• English translation of your qualification(s)/transcripts
AND
• English language competency certificateFor more information Click Here
See when English Proficiency Exams can be taken here in UL:
Language Centre | 51±¾É« (ul.ie)
To be eligible for Springboard+ funding applicants must be resident in the state.
Please note you may be required to verify your Nationality and Residency status.
For Returners and Employed/Self-Employed applicants, the following rules apply :
- must be ordinarily resident in an EU/EEA/Swiss state for at least three of the five years preceding their entry to the programme.
** Note: The period of residency for holders of Stamp 4 or Stamp 4 EU FAM is calculated from the date of receipt of the Stamp 4.
Any period of residency in the state before this date will not be taken into consideration ( ie you must hold Stamp 4 for three of the five years preceding)
The programme is fully funded for jobseekers and returners. 90% funding is available to full time workers under the Springboard+ 2019 criteria. See springboardcourses.ie website for eligibility details.
Graduate and Professional Studies
+353 (0)61 234377
51±¾É«, 51±¾É«, Ireland