Data Analytics

Course Summary
This one year full-time course (funded via Springboard+) will equip participants with the theoretical and practical skills to enter the world of data analytics. It will provide learners with the required skills in the areas of statistics, programming and databases that will enable them to transfer much of the domain specific knowledge/skill already gain in their primary degree(s) to the IT and Data Analytics sector.

This course is aimed at candidates with strong numeracy skills and a basic knowledge of statistics who wish to become more data savvy, no prior programming exposure is required. This one-year full-time course is funded via Springboard+ and is created for those who wish to develop the skills, expertise and knowledge to work as Data Analysts and is aligned with the needs of local data focused companies.

Who Should Apply
Graduates with strong numerate skills who wish to pursue a career in the expanding area of Data Analytics.

Professionals who wish to develop their Data Analytics and Mining skills to apply them to real problems in their current work domains.

Graduates who enjoy Mathematics and problem-solving with a focus on real-world problems.

Graduates who are interested in developing their advanced statistical and computing skillsets to master areas such as statistical inference and machine learning.

Subjects taught

Modules on this programme include:

Course Content

Semester 1
Statistics using R - 1
Spreadsheet Data Analytics
Research Methods for Data Analytics

Semester 2
Ethics and Social Responsibility in Data Analytics
Applied Database Systems
Statistics using R - 2

Semester 3
Advanced Statistics using R - 1
Real Time Data Analytics
Data Analytics Project 1

Semester 4
Data Visualisation
Advanced Statistics using R - 2
Data Analytics Project 2.

Entry requirements

ANY Honours (Level 8) Degree with 15 credits of Mathematics


Statistics OR Level 7 Degree with 15 credits of Mathematics and/or Statistics AND at least 2 years of work experience together with strong numeracy skills.

No prior programming exposure is required.

Application dates

Important notice about this course
This full-time one-year programme is currently funded via Springboard+. This programme is alos offered in part-time mode (see here) but Springboard+ funding is only available to full-time students.

How to Apply
You can apply directly for this course via the Springboard Website by clicking the button in the application weblink below:




1 year full-time.

This course is typically delivered using a blended approach. Classes normally run on Monday and Wednesday evenings 6:00pm to 9:00pm and on alternative Saturday mornings over two semesters.


Fees €550 (Springboard subsidised)

Fees & How to Apply?
Visit for more information about this course, how to apply and the start date for this course.

Enrolment dates

Contact Dundalk IT for the next course start date.

Post Course Info

The course provides the necessary preparation for a career in areas such as

Data Analyst;
Data Scientist;
Data Engineer;
Business Analytics Specialist;
Data Visualization Developer;
Analytics Manager

On the successful completion of this Higher Diploma, students who obtain Second Class Honours, or higher, will be eligible to be considered for entry to an MSc in Computing programme (taught or research). Future progression options available within DkIT will include the MSc in Data Analytics.

More details
  • Qualification letters


  • Qualifications

    Higher Diploma (Level 8 NFQ)

  • Attendance type

    Full time,Part time,Daytime,Blended

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    Course provider