Computing - Data Analytics - ICT Skills - Conversion Course - Galway

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.

Entry requirements

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

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.

Subjects taught

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.


2 years online

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]


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

Enrolment dates

Applications now open for January 2020 start.

Post Course Info

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).

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

More details
  • Qualifications

    Higher Diploma (Level 8 NFQ)

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