Courses in

Computer Science and Applied Physics

Higher Diploma in Science in Computing (Data Analytics) - ICT SKILLS/SPRINGBOARD+

Closed for Applications. Contact us at the end of May regarding September 2020.

Discipline: Computer Science and Applied Physics

Location: Galway - Dublin Road

NFQ Level: 8

Programme Duration: Two years

Mode of Study: Online delivery

Entry Requirements: Level 8 Honours Degree (or equivalent if earned outside the EU - see

Places: 50


A 10% contribution (750 Euros) is required from Employed applicants. Free to Unemployed applicants.

Why Study?

  • You are a Level 8 Graduate from a non-computing background who wishes to enter into a career in computing.
  • The aim of the course is to provide you with a broad knowledge of computing, with a specialisation in data analytics.
  • This will enable you to apply data analysis techniques to the topics in your original degree.
  • It will also provide you with a foundation on which you can develop your skills in the more traditional areas of computing.
  • This course is Fully Online.

The course covers such skills as automating manual spreadsheet-oriented data analysis processes, converting large data sets into actionable information, and creating web-based dashboards for visualising data.


Programme Modules

The subjects undertaken are as follows:

  • Data Representation and Querying [5 credits at Level 8]  In this module students will investigate and operate the protocols, standards and architectures used in representing and querying the data that exists across the internet.
  • Programming and Scripting [10 credits at Level 8]   An in-depth introduction to computer programming and scripting.
  • Fundamentals of Data Analysis [5 credits at Level 8]  In this module, students learn about the basics of data analysis and its underlying mathematical concepts.
  • Computer Architecture and Technology Convergence [5 credits at Level 8]  This module covers the basic principle of traditional computer design and highlights current trends in mobile and pervasive computing architectures.
  • Computational Thinking with Algorithms [5 credits at Level 8]  This module provides detail of algorithm design and the computational problem solving process using programming libraries and application programming interfaces (APIs).
  • Programming for Data Analysis [10 credits at Level 8]  In this module, students develop their programming skills towards the effective use of data analysis libraries and software.
  • Object Oriented Software Development [5 credits at Level 8]  This module provides an introduction to programming (using an Object-Oriented approach) and assumes little or no previous experience in programming.
  • Machine Learning and Statistics [5 credits at Level 8]  A practical look at the most popular algorithms used in machine learning and the analysis of stochastic processes.
  • Web Applications Development [5 credits at Level 8]  This module is focused on the development of practical skills in the area of web applications.          
  • Advanced Databases [5 credits at Level 8]  This module presents the theory and practice relating to advanced database applications in areas such as Enterprise Data Management, and in the management and storage of non-relational data.
  • Work Placement/ Project [5 credits at Level 8]  Work placement is undertaken only by Unemployed applicants, otherwise a Project is undertaken. Such candidates will be assigned a dedicated academic supervisor for the duration of the project.

Career Opportunities

Data Analytics / Data Science is a growing area of employment, with significant future growth also anticipated.

This is well established in various national skills bulletins (e.g. Expert Group on Future Skills Needs).

Follow-on Studies: 

A sufficient result on this course would qualify students to undertake Level 9 (Master) programmes.

Essential Information: 


To apply go to


To complete your application process you must email the following:

  • A scanned copy of your EU Passport, or a scanned copy of your non-EU Passport with a copy of your Stamp 4 visa.
  • A copy of your Curriculum Vitae.
  • A copy of your Level 8 Degree/ Major Award or highest other qualification. Translated if not in English.
  • One of the following:
  1. A scanned copy of a recent payslip if employed showing your PPSN, OR
  2. A scanned copy of a recent payment slip if in receipt of Jobseekers Allowance/ benefit, OR
  3. A copy of a recent Bank Statement showing receipt of a different, eligible, Department of Employment Affairs & Social Protection, OR
  4. A letter from your Accountant confirming that are Self-employed, OR
  5. An Affidavit signed by you and the appropriate third-party confirming that you are a Homemaker.

When sending jpgs they must be attachments to your email, -not jpgs within emails. Documents sent as ZIP files cannot be accepted - please send as individual documents.



Online. It is anticipated that a number of optional on-campus workshops at GMIT Galway campus may take place each term.

Students (employed or unemployed) can complete the course over 12 months (full-time) or 18 to 24 Months (part-time). The definition of full-time or part-time refers to the number of credits undertaken in one academic year, not to attendance as in either mode the course is fully online.


Part-time Mode: (January 2020 – May 2021): (18 months, can be extended to 24 months)

  • Semester 1 (Jan 2020 - May 2020):  [20 credits]
  • Semester 2 (Sep -2020  Dec 2020):  [20 credits]
  • Semester 3 (Jan 2020- May 2021):   [20 credits]


Full-time Mode: (January 2020 – May 2021): (12 months)

  • Semester 1 (Jan 2020 - May 2020):  [30 credits]
  • Semester 2 (Sep -2020  Dec 2020): [30 credits]


Eligibility criteria:

RPL applications will be considered from those holding a Level 7 who have significant work experience which would match the learning outcomes of a Level 8.


The Springboard+ Programme is operated by the Higher Education Authority on behalf of the Department of Education and Skills and is co-funded by the Irish Government and the European Union under the Euroepan Structural and Investment Funds Programme 2014-2020.

Contact Us

Peter Butler
Graduate and Professional Development
Dublin Road

Tel: +353 (0)91 742328


Springboard+ is co-funded by the Government of Ireland and the European Social Fund as part of the ESF programme for employability, inclusion and learning 2014-2020