Computing - Data Science - Sligo
Data Science is a multi-disciplinary field that attempts to extract knowledge from structured and unstructured data. It combines techniques from mathematics, statistics, information theory, computer science and artificial intelligence with applications in a wide variety of fields.
| Award Name | Minor Certificate (Level 9 NFQ) |
|---|---|
| NFQ Classification | Minor |
| Awarding Body | Atlantic Technological University |
| NFQ Level | Level 9 NFQ |
| Award Name | NFQ Classification | Awarding Body | NFQ Level |
|---|---|---|---|
| Minor Certificate (Level 9 NFQ) | Minor | Atlantic Technological University | Level 9 NFQ |
Duration
1.5 years part-time, online delivery.
Study Hours
Students are expected to attend 2-3 lectures each week which can range from 1-3 hours. It is recommended that students should try to allow for 5-6 hours per week per 5 credit module to their studies.
On-Campus Attendance: No attendance required.
Entry Requirements
Applicants should hold a Level 8 Honours Degree 2:2 or above. While it is expected that most applicants will have an honours degree in Computer Science or related discipline, due to the multidisciplinary nature of Data Science an Honours Degree in Engineering, Business and Science will be sufficient. However, some programming knowledge (Ideally Python or C/C++ or R) and mathematics knowledge are prerequisites to the course.
Recognition of Prior Learning: Yes.
Careers / Further progression
Progression Pathways
Many of our Masters programmes are structured in a way that includes recognised entry and exit awards. This means that you can apply for part of Masters first and learn at your own pace or if you are unable to complete the full programme, you can still gain a recognised qualification. Our entry and exit awards typically include Postgraduate Certificate award and a Postgraduate Diploma award.
Further information
Start Date: January 2026.
Total Fees: €3000
Flexible learning courses are popular, and they fill on a first come, first served basis. There are two major intake periods throughout the academic year, September and January.
For January start courses, applications typically open in October, and for September start courses, applications typically open in February. Closing dates for applications are listed on the individual course webpage.
Data Science is a multi-disciplinary field that attempts to extract knowledge from structured and unstructured data. It combines techniques from mathematics, statistics, information theory, computer science and artificial intelligence with applications in a wide variety of fields. This programme combines 7 taught modules with a strong research project, where students are given the opportunity to implement their learning within a real-life context.
Who should apply?
A qualification in Data Science skills can lead to an exciting career in an array of industries including IT, financial services, retail, and manufacturing. These roles are not confined to IT based positions but can lead to roles in business intelligence, analysts, or data warehouse consultants.
Postgraduate Certificate:
Applied Statistics and Probability
Introductory Programming for Data Science
Applied Linear Algebra
Data Analytics and Visualisation
Machine Learning
Research Methods for Data Science
Programming for Big Data
This programme is assessed through a blend of continuous assessment and final exams. At Masters level, students also undertake a Research Project.
Admissions: admissions.sligo@atu.ie
Student Advisor:
Niamh Doddy: Niamh.Doddy@atu.ie