Data Analytics - Professional Diploma Programme content

Meet the increasing demand for data analytics and boost your career prospects with UL’s one-year, part-time Professional Diploma in Data Analytics.

EU fees per year €5,250

Non-EU fees per year €5,250

NFQ Level NFQ Level 9 Minor

Duration One year

Attendance Part-time

Programme type Taught, Professional / Flexible

Delivery Online

Start date September

Award Professional Diploma

Key information

Complete part-time over one year
Delivered online
Intakes in both Autumn (September) and Spring (January)
Modules taught during autumn and spring or spring and autumn semesters
Approx. 12 weeks per semester
Can be used to complete 30 credits towards Master of Professional Practice (MPP) or MSc Engineering Practice
Modules with (M) beside them can be taken as independent micro-credentials

Data Analytics with R (M) (MA5021) introduces programming in R and RStudio for data analytics, covering data wrangling, visualisation, basic statistical modelling, and reproducible research practices, with an introduction to RShiny dashboards.
Introduction to Predictive Analytics (MA5011) introduces core concepts in statistics and data analytics, focusing on real-world applications in industry and equipping students with practical skills in experimental design, data analysis, and statistical programming using R.

Future Focused Professional Portfolio 2 (MN5152) fosters critical thinking, creativity, and collaboration, enabling students to navigate complexity and uncertainty in professional contexts through the development of a portfolio that demonstrates the application of futures thinking methodologies to real-world challenges.
Introduction to Critical Thinking and Problem Solving (PO6132)introduces critical thinking and its relationship to problem solving by challenging the way we think and approach problem solving, identifying and analysing problem dilemmas through a critical thinking lens, and reflecting on how individual approaches to critical thinking relate to problem solving in the workplace.

Books and journal articles needed for the course will be available online through the UL Glucksman Library.

For more information on each module, you can search the faculty, school and module code on UL’s Book of Modules

Advanced Predictive Analytics (MA5012) focuses on the development and application of linear and generalised linear models to real-world data, emphasising model fitting, selection, interpretation, and communication, with practical implementation in R.
Statistical Learning with Applications (MA5002) provides a foundation in applied statistical learning, introducing key supervised and unsupervised techniques, such as classification, clustering, and dimension reduction, with hands-on implementation in R for practical data analytics applications.

Future Focused Professional Portfolio (MN5141) supports independent, self-directed learning through the creation of a personal portfolio that showcases reflective practice, the applied use of discipline-specific knowledge, and leadership in shaping the future of one’s professional role.
Writing for the Workplace (TW6001) develops professional writing skills to effectively communicate inherently challenging content in an easy-to-digest way.
Building Core Professional Digital and GENAI Competence for the Workplace(TL6021) aims to assist professionals in developing core digital and GenAI competence that can be applied within their own work contexts.

Books and journal articles needed for the course will be available online through the UL Glucksman Library.

For more information on each module, you can search the faculty, school and module code on UL’s Book of Modules