Computer science and Information technologies courses

About Data Analytics And Software Development - Higher Diploma in University of Limerick

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 Limerick 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 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.

Academic qualification equivalents

• A four-year or three-year honours degree in a relevant discipline from a recognised university. First-division results are required with a minimum overall grade of 60%*.
• Particular programmes may require an interview and/or work experience.  

         *The programmes listed below have specific entry requirements. Please read carefully if you are interested in applying to one of these       programmes.

Masters of Mechanical Engineering/Aeronautical Engineering

• Students are required to hold a four-year or a three-year honours degree in a relevant discipline from a recognised university with a minimum average score of 70% or above and no backlogs.
• Students for both courses must also submit a written paper outlining the details of their Final Year Project as part of the application. 

MSc. Nursing

• A four-year or three-year honours degree in a relevant discipline from a first-level university. First-division results are required with a minimum overall grade of 65%.

English language requirements (one of the below):

• IELTS: Minimum score of 6.5* with no less than 6.0 in any component.

  *Please note some programmes have a higher IELTS requirement.

  **Please note, we can only accept Academic IELTS. General IELTS will not be accepted. 

• TOEFL : 580 (paper based) or 90 (internet based)
• PTE: a minimum score of 61 (with no section score below 59)

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