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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.

Course Overview

This course is a conversion course to enable graduates to take up the increasing opportunities to work as data analysts, who are in demand across multiple sectors, including Financial, Government, Manufacturing, Food, Health and Media.

The course emphasises the development of strong theoretical and applied foundations, and builds on our existing strengths in Data Science and Analytics in the School of Computer Science and the Insight Institute, and our experience in running a successful Masters in Data Analytics.

The programme has a number of core elements:

  • Immersion in fundamental database and software development techniques.
  • A solid foundation in statistical and analysis methods.
  • Expertise in data analysis, visualisation and business intelligence using leading edge tools and programming languages.
  • Capstone project to deepen and demonstrate students’ acquired skills.
  • A significant placement/internship allowing participants to gain relevant experience and also provide Industry Partners with an opportunity to assess potential recruits.

On completion of the programme, graduates will be eligible to take our highly successful MSc Data Analytics or MSc Artificial Intelligence, providing a deeper and more specialised training in advanced Data Science or Artificial Intelligence topics such as Machine Learning. Transition to these programmes is contingent on spaces and achieving a minimum of a high 2:1 in the Higher Diploma at the discretion of the programme director.

This programme is funded by the Higher Education Authority Human Capital Initiative, Pillar 1*, Graduate Conversion initiative. For applications who are in employment the HEA will fund 90% of the course fee, with the balance to be provided by the application or her/his employer. Recent graduates will also pay 10% of the cost of the course.

This course will open for applications through the Springboard website on Wednesday 16th June 2021. You can apply at the following web page: https://springboardcourses.ie/details/9475

To check whether you are eligible for HCI funding, please go to the following web page: 
 
Scroll to the section "Am I eligible for the HCI Graduate Conversion Courses 2021".

 

Applications and Selections

If you have questions regarding eligibility or how to apply for this course, please contact the course director—click on the "Find Out More" link on the left of this page.
 
A small number of places may be made available for fee-paying students who are not eligible for HCI funding. Please contact the course director if you wish discuss this, or you may apply via the "Apply Now" link on the left of this page.

Who Teaches this Course

Dr Enda Barrett

 

Requirements and Assessment

A range of assessment methods are integrated and applied through the programme. These include continuous assessment, projects, reports presentations and case studies.

Key Facts

Entry Requirements

Applicants are normally required to hold a minimum of a Level 8 honours qualification (2.2 or higher) or equivalent in a cognate discipline. Graduates with a Level 7 degree and relevant practical industry experience in the area of computing and information technology will also be considered. Graduates from non-STEM (Science, Technology, Engineering, and Mathematics) disciplines such as languages will be welcomed, but will need to demonstrate an aptitude for logical thinking and problem solving. The application process will include interviews and/or aptitude tests, given that the placement is a key element of the programme.

The programme is in line with the University Policy for Recognition of Prior Learning in that it recognises prior academic qualifications. The aim of this initiative is to provide graduates with the opportunity to acquire qualifications for employment in the data analytics field. RPL applications are also welcome and can be completed by contacting the Programme Director. 


Additional Requirements

Duration

1 year, full-time

Next start date

September 2021

A Level Grades ()

Average intake

25

QQI/FET FETAC Entry Routes

Closing Date

Please view the review dates website for information.

NFQ level

Mode of study

ECTS weighting

60

Award

CAO

Course code

1DAV1

Course Outline

The programme is delivered over a 12-month period. The first two semesters consist primarily of taught modules, which have a high continuous assessment and practical aspect. The first semester focuses on creating a strong foundation in the Computer Science and Statistical techniques, including: Databases, Internet Programming, Human Computer Interaction, Statistics for Data Science, Programming with Python.

The second semester focuses on deepening skills and applying them to real-life problems. The content includes Applied Data Analytics using the R programming language and packages, further Statistics for Data Science, Data Visualisation techniques and Business Intelligence theory and applications using widely used commercial tools.

A major aspect of the programme is the Industrial Data Analytics Project in which students work on a real-life data analytics and visualisation problem. This work will, where possible, be conducted in conjunction with the work placement company, resulting in the production of the final report and presentation of the project at the end of the work placement. The Work Placement will take place from the end of semester 2 until end August.

Why Choose This Course?

Career Opportunities

The Higher Diploma in Data Analytics responds to a strong and growing demand for graduates with skills in data analysis across all industry sectors. Every industry has seen a huge growth in the amount of data which they generate and collect, which represents a very valuable resource for companies. Demand for workers with specialist data skills like data scientists and data engineers has increased dramatically over the past five years according to recent surveys. Skills Ireland estimates a demand for Big Data/Analytics roles to the tune of up to 62,000 in Ireland by 2020. Roles that will be suitable for graduates of this programme include: 

  • Data Analysts
  • Data Visualisation Specialists
  • Data Engineers
  • Data Scientists
  • Business Analytics Specialist
  • Business Intelligence Developer

Who’s Suited to This Course

Learning Outcomes

 

Work Placement

Study Abroad

Related Student Organisations

Course Fees

Fees: EU

€6,500*

Fees: Tuition

Fees: Student levy

Fees: Non EU

€23,526 p.a. 2021/22

 

For Students Eligible for HCI  Pilar Funding: There are no tuition fees for DEASP customers or Returners but any subsequent costs such as travel, and course materials must be borne by the participant

*A 10% course fee contribution (€650) for graduate conversion courses is applicable for employed participants and recent graduates.

The formerly self-employed not in receipt of a DEASP payment must also pay 10%. This is payable directly to the provider.

For further details see https://springboardcourses.ie/faq

Find out More

Dr Josephine Griffith
T: +353 91 493 717

E: josephine.griffith@nuigalway.ie

School of Computer Science
T: +353 91 493 143 or 493 836
E: computerscience@nuigalway.ie

Downloads

  • Postgraduate Taught Prospectus 2021

    Postgraduate Taught Prospectus 2021 PDF (11.3MB)