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Data Analytics

Course Description
This two year part-time course 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 gained 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 course 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.

Entry requirements

Minimum Entry Requirements
ANY Honours (Level 8) Degree with 15 credits of Mathematics and/or Statistics
Level 7 Degree with 15 credits of Mathematics and/or Statistics AND at least 2 years of work experience.
No prior programming exposure is required.


2 Years

Course Delivery
Two evenings per week and every other Saturday on campus, using a blended learning format that combines face to face classes with online delivery.

Number of credits


Careers or further progression

Career Opportunities
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.

Upon the successful completion of this Higher Diploma, students who obtain Second Class Honours, or higher, will be eligible to be considered for entry to the MSc in Data Analytics.

Further enquiries

Dr Kevin McDaid
School of Informatics & Creative Arts,
T: +353(0)429370200
Ext 2739

Subjects taught

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.

Application date

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

Course fee

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 and start dates

Contact Dundalk IT for the next course start date.

Remember to mention gradireland when contacting institutions!