Keystone logo
National University of Ireland Galway College of Science and Engineering M.Sc. Computer Science – Data Analytics
National University of Ireland Galway College of Science and Engineering

National University of Ireland Galway College of Science and Engineering

M.Sc. Computer Science – Data Analytics

Master degree

Full time

On-Campus

Key Summary

    About : The M.Sc. Computer Science – Data Analytics program focuses on providing students with the skills needed to analyze and interpret complex data. It covers essential topics like machine learning, data mining, and statistical analysis. This postgraduate degree typically spans one year for full-time students.
    Career Outcomes : Graduates can pursue varied career paths in data science, business analytics, and machine learning. Potential job roles include data analyst, data scientist, and business intelligence analyst, offering opportunities in sectors such as technology, finance, and healthcare.

Almost everything we do results in data being created and stored somewhere. Individuals, communities, business and governments face major challenges in harnessing all this data to create knowledge that will underpin a healthier, safer, more productive world. There is an acute global shortage of talent and expertise in Data Analytics and Data Science. Due to the strong demand for these graduates and the leading edge quality of this particular programme, annual demand for places on the programme is extremely competitive.

This is an advanced MSc programme that is delivered full-time over one year, and provides graduates of Computer Science and closely related areas with in-depth knowledge and skills in the emerging growth area of Data Analytics and Data Science. The MSc in Data Analytics is delivered by a team of highly respected academics based in NUI Galway that are considered international experts in their respective fields. Some of the topic areas include large-scale data analytics, advanced data-mining and machine learning, deep learning, information retrieval, natural language processing, data visualisation, web mining, linked-data analytics, simulation and modelling, and digital image processing.