Data Science & Statistical Learning

Key programme benefits to future students
The programme is designed to assist individuals with a passion for data analysis to become autonomous learners who have a creative and critical approach to data analysis. We aim to provide a learning environment that will encourage students to constructively solve data problems in real-world situations, using a variety of software, and to tailor such solutions to individual data sets as they arise.

Upon graduation, students will be able to demonstrate in-depth knowledge of the key skills required to work in the rapidly expanding field of data science. These include a knowledge of data collection methods, statistical model development, and knowledge and application of machine learning techniques. Students will develop a proficiency in several data science programming languages including R and python. Through the research focused dissertation, students will learn how to keep up to speed on the latest developments in the field of data science and demonstrate their acquired knowledge through application of modelling methodologies to challenging datasets.

Subjects taught

Autumn Modules
• Statistical Inference for Data Science (Pathway A) or Scientific Computation (Pathway B)
• Fundamentals of Statistical Modelling (Pathway A) or Introduction to Data Engineering & Machine Learning (Pathway B)
• Database Systems in Practice
• Programming with R
• Text Analytics and Natural Language Processing

Spring Modules
• Statistical Learning (Pathway A) or Data Governance in Ethics (Pathway B)
• Quantitative Research Methods for Science, Engineering and Technology
• Networks and Complex Systems
• Applied Big Data and Visualisation
• Artificial Intelligence and Machine Learning

Summer Modules
• Research Project Students will specialise their dissertation studies in one of the three sub-disciplines: Mathematics and Statistics, Electronic and Computer Engineering, or Computer Science and Information Systems

Entry requirements

The minimum entry requirement is a 2:2 undergraduate degree (Level 8 - QQI) (or equivalent) in Mathematics, Statistics, Computer Science, or other relevant quantitative discipline, or equivalent qualification that is recognised by the University as meeting this requirement. The University reserves the right to shortlist and interview applicants as deemed necessary.

Qualification transcripts and certificates
A copy of your birth certificate or passport
If your qualifications have been obtained in a country where English is an official language this will suffice
If this is not available, the following additional documents must be provided:
• English translation of your qualification(s)/transcripts
• English language competency certificate

Application dates

Preparing your Application:
1. Research your programme: Each postgraduate programme at University of Limerick is unique. Explore your course content, duration, fees, and entry requirements on

2. Check Eligibility: Ensure that you meet the eligibility criteria for the course you are interested in. This usually includes your undergraduate degree award, subject specialities, English language proficiency (for non-native speakers), and any specific requirements for the course.

3. Prepare Documents: Gather all the necessary documents. This typically includes your academic transcripts, CV, personal statement, and references. If English is not your first language, you’ll also need to provide evidence of your English language proficiency.

4. Online Application: Once you are ready to apply, visit your postgraduate programme page on and use the Apply Now button to access UL’s online application system. You will need to create an account if you are a new user.

5. Complete the Application: Fill in the application form with all the required details. This will include personal information and academic history.

6. Upload Documents: Upload all the necessary documents that you prepared earlier. Make sure they are clear and legible.

7. Submit Application: Review your application thoroughly to ensure all information is correct and then submit your application. The application fee for your postgraduate application is €50. This includes an option to choose a second choice.

8. Track Your Application: After submission, you can track the status of your application through the online application system.

9. Interview: Depending on the programme, you may be invited for an interview. This could be in person or online.

10. Acceptance: If your application is successful, you will receive an offer email from the university. You will need to accept this offer to secure your place.

Applications are reviewed on a rolling basis and places offered to successful candidates. This means that it’s a good idea to apply as early as possible to increase your chances of securing a place.

Please note that these steps are a general guide and the exact process may vary depending on the specific programme and your individual circumstances. Always check the University of Limerick website or contact the postgraduate admissions department for the most accurate and up-to-date information.


1 year full-time, on-campus.

Enrolment dates


Post Course Info

Graduate careers
Data science skills are some of the most highly sought after by employers both nationally and internationally. Examples of potential fields of employment include: ICT; Financial services and management consulting; Manufacturing and pharmaceuticals; Research and development roles.

More details
  • Qualification letters


  • Qualifications

    Degree - Masters (Level 9 NFQ)

  • Attendance type

    Daytime,Full time

  • Apply to

    Course provider