Higher Diploma in Science - Computing (Data Analytics) -12 Months (Higher Diploma in Science - Computing (Data Analytics) -12 Months)

Galway-Mayo Institute of Technology (H.DiplDataAnalytics12)
Key Programme Details

Major Award

NFQ Level

Level 8 About NFQ

Delivery Method



Full Time

ECTS Credits



School of Science and Computing

General Information

Peter Butler




086858053691 from 09:00 to 17:00 , Monday to Frida


Graduate and Professional Development
Galway Mayo Institute of Technology
Dublin Road
Galway City


Course coordinator

Important Dates
Application Deadline


Start Date


End Date


About this Course

The Higher Diploma in Science in Computing (Data Analytics) is a conversion course for graduates of level 8 programmes in disciplines other than computing. The aim of the course is to provide students with a broad knowledge of computing, with a specialisation in data analytics, and the development of hands-on programming skills in PYTHON (in particular). This will enable students to apply data analysis techniques to the topics in their original degree, while also providing a foundation on which they can develop their skills in the more traditional areas of computing. 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. Level 8 graduates from disciplines such as business and finance are particularly suited to this course, as are those from life and physical sciences. The programme consists of one/ two years of computing education allied to a six months internship in an IT Company.

This is the 12 month version of the course which unemployed applicants must do to qualify for Back To Education Allowance.

For full details on the course, including programme documentation, go to www.gmit.ie/computer-science-and-applied-physics/higher-diploma-science-computing-software-development-ict

Entry Requirements

A NFQ Level 8 Major Award (i.e. honours degree or equivalent) under the National Framework of Qualifications, in any discipline. See also RPL Information.

Applications are processed in the sequence in which they are received and offers made in the sequence in which all of the required documents have been uploaded confirming that applicant has met the entry requirements. The application deadline is moved only when there are remaining places not yet filled, so please do not delay in applying if you wish to do the course.

Long Description

On completion of this programme the learner will be able to:
1. Design and construct a well-informed data analytics workflow to solve a data-intensive computational problem.
2. Recognise, understand and appreciate advanced techniques in computational data analytics.
3. Discuss, plan and implement fundamental techniques in computing, including programming.
4. Identify, analyse and plan strategies for solving general computational problems.
5. Describe the limitations of current techniques and technologies in computing and data analytics.
6. Apply quality concepts to computer programming and data analytics workflows.
7. Locate and evaluate documentation and information through online research.
8. Work effectively as an autonomous individual in solving problems using a computer.
9. Manage a computer-based project throughout all stages of its lifecycle.
10. Plan and track the development of software.
11. Apply best practice in the fields of computing and data analytics.
12. Explain how academic and industrial research leads to new computing solutions, knowledge, technologies and techniques.

Data Representation and Querying. 5 Credits:
Computer Architecture & Technology Convergence. 5 :
Computational Thinking with Algorithm. 5 Credits:
Machine Learning and Statistics. 5 Credits:
Web Applications Development. 5 Credits:
Advanced Databases. 5 Credits:
Work placement (unemployed). 15 Credits:
Programming & Scripting. 10 Credits:
Programming for Data Analysis. 10 credits:
Multiparadigm Programming. 5 credits:
Fundamentals of Data Analysis. 5 credits:

For full details on the modules, go to www.gmit.ie/computer-science-and-applied-physics/higher-diploma-science-computing-software-development-ict

Timetable Info

Fully Online course

Delivery Location

Not applicable as fully online

Delivery Notes


Admissions Contact Details
Contact Person

Peter Butler


Graduate Studies and Professional Development
Galway Mayo Institute of Technology
Dublin Road
Galway City


0858053691 from 09:00 to 17:00 , Monday to Frida



RPL Information

Recognised Prior Learning will be considered for applicants holding a Level 7 degree plus 3 years working experience.

Application Procedures

NOTE: The course is now closed for applications. GMIT has applied for it to be funded again in 2021.. If the application is successful the course will reopen for application on www.springboardcourses.ie in May/ June.