Master of Science in Data Science
Master of Science in Data Science
NFQ Level 9
- Details available on the Admissions-Postgraduate pages
1 Year Full-time/ 1 Year part-time (for further details, please contact the Faculty of LifeLong Learning)
Postgraduate Diploma in Science in Data Science (Level 9 - 60 credits)
- Entry Requirements
- Further Study & Careers
- PAC Codes & Fees
- How to apply
The MSc in Data Science NFQ Level 9 programme provides students with a comprehensive knowledge base and skillset to fulfil and succeed in a variety of roles within data science driven organisations.
The programme is designed to meet current industry needs and provides students with a thorough theoretical and practical grounding in the analysis and utilisation of large data sets, together with experience in conducting data science development projects, thereby preparing graduates for positions of responsibility in the Big Data and IT industries.
As well as studying a range of core taught modules, learners will undertake a significant research and/or programming project to further enhance their skillset from the creation of a project proposal to the delivery and deployment of a significant data science project.
This innovative programme will build on participants’ professional and personal skills in areas such as presentation, communication and soft skills as well as data science development, integration and critical thinking around the design, implementation and deployment of data science solutions and systems in industry.
What will I be able to do when I finish this programme?
The aim of this programme is to provide learners with an understanding and ability to critically evaluate and utilise data analytics and the associated processes, systems, algorithms, technologies and insights garnered, ethically, in appropriate contexts. The programme also focuses on current research in the field and enables participants to review and critically assess this research.
What subjects will I study?
- Programming for Data Scientists
- Data and Data Storage Technology
- Statistics for Data Science
- Research Methods
- Infrastructure for Big Data
- Data Analytics and Algorithms
- Data Visualisation and Insight
Applicants must have obtained a second class honours level 8 primary degree (or equivalent) in computer science or mathematical sciences or hold a degree with a strong numerate content (e.g. engineering, finance, physics, biosciences or economics).
Applicants who do not meet the above standard entry requirements will also be considered if they have an undergraduate degree (at Level 7 or Level 8) and a minimum of 5 years verifiable relevant industrial experience. Applicants who do not have a primary degree will only be considered with a minimum of 10 years verifiable relevant industrial experience.
All Non-EU applicants should refer to the international section of the IT Carlow website for more information in relation to entry requirements.
Successful graduates from this programme may progress to undertake specific data science research programmes at level 9 or level 10 within the GameCORE research centre at Institute of Technology Carlow. A number of the development team for this programme are also attached to GameCORE and are engaged in data focused research and research supervision.
Graduates will have progression opportunities to other NFQ level 9 and Level 10 programmes. Students who successfully complete the necessary 60 credits of the programme will be eligible for the Postgraduate Diploma in Science (Level 9) should they opt to leave the programme (Embedded Exit Award).
Potential employment opportunities
Data science is the interdisciplinary field of study of processes and systems to extract knowledge or insights from data in a variety of formats, either structured or unstructured, which is a continuing evolution of traditional data analysis fields such as statistics, data mining, and predictive analytics.
Data scientists who have successfully completed this programme are equipped to work in ICT, finance, business, insurance, marketing and retail, pharmaceutical, biotechnology, telecommunication, media, sports and other sectors. The programme delivers rounded graduates for technical development and/or data science management positions in the previously mentioned sectors.
Programme Codes & Fees
|Programme Code||Programme Title||Campus Location||Schedule||Fees||Closing date for applications|
|CWS07||Master of Science in Data Science||Carlow||Full-time||€7,000||Details available on the Admissions-Postgraduate pages|
|CWS09||Postgraduate Diploma in Science in Data Science||Carlow||Full-time||€6,000|
|CWL33||Master of Science in Data Science||Carlow||Part-time||€7,000|
How to apply
- Research & choose your programme from our wide range of postgraduate offerings on our website or in our prospectus.
- Check all of the relevant programme information including entry requirements, programme code and closing dates, taking time to read the Application Instructions.
- Get started on your postgraduate journey at IT Carlow!
For admissions queries from Irish or European applicants, please email: firstname.lastname@example.org.
All Non-EU international applicants should refer to the International section of the website for further details or email: email@example.com.
Full-time applicants may contact:
Dr Greg Doyle
BSc, MSc, PhD
Programme Director & Lecturer in Computing
P: 059 917 5500
Head of Department - Computing and Networking
P: 059 917 5500
Part-time applicants may contact:
Head of Faculty, Lifelong Learning
P: 059 917 5280
International (Non-EU) applicants may contact: