Master of Science in Data Science

The MSc in Data Science NFQ Level 9 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.

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.

You need to complete credit hours to successfully obtain this degree. Please check detail of study units at https://www.itcarlow.ie/study/postgraduate-rd/postgraduate-programmes-taught/computing-data-science/master-of-science-data-sci.htm

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.

You can join one of the following careers:

• Data Scientist
• Data Science Developer
• Data Science Consultant
• Data Analyst

University Scholarships