City scape

Computer Science - Data Analytics

Your Course
Almost everything we do results in data being created and stored somewhere. Individuals, communities, businesses and governments face major challenges in harnessing all this data to create knowledge that will underpin a healthier, safer, more productive world. There is a global shortage of talent and expertise in data analytics and data science. This MSc and Diploma programme will provide graduates of computing or related degrees with the deep technical knowledge and analytical skills to succeed in this growth area. Applicants may apply for the following programme options: one-year MSc fulltime (1CSD1); one-year diploma (1DCS2); two-year MSc part-time (1CSD2).

Course Content
The MSc option is an 90-ECTS course with three main elements: foundational modules (20 ECTS), advanced modules (40 ECTS), and a substantial capstone project (30 ECTS). Students taking the two-year, part-time option will undertake a larger capstone project (40 ECTS) and take 10 ECTS less in taught modules. The one-year, part-time Diploma in Computer Science (Data Analytics) is a 30- ECTS programme. Diploma students will be eligible to progress to the second year of the part-time MSc if they achieve a minimum of a 2.1 in the diploma year.

Foundational topics include: Statistics and Probability; Information Retrieval; Machine Learning and Data Mining; Programming for Data Analytics; Large Scale Data Analytics; Natural Language Processing; Digital Signal Processing. Advanced topics include: Advanced Topics in Machine Learning and Information Retrieval and Natural Language Processing; Functional Programming; Web and Network Science; Linked-Data Analytics; System Modelling and Simulation; Embedded Image Processing; Data Visualisation; Caste Studies in Data Analytics. From Semester 2 onwards students work on individual project and submit them in August.

3 Good Reasons To Study This Course

1. Closely aligned to the research and teaching expertise of the Discipline of Information Technology and the Insight Centre for Data Analytics at NUI Galway.

2. Graduates from this course have demonstrated excellent employment prospects.

3. CNN lists jobs in the data analytics area in its "Top 10 best new jobs in America".

Entry requirements

Minimum Entry Requirements
The minimum requirement for entry to the full-time and parttime programme is normally a 2.1 degree in a Level 8 science or engineering degree that includes sufficient training in the fundamentals of computing. Additionally, part-time applicants should have 3+ years of industry experience and availability to attend lectures in NUI Galway. On an exceptional basis, candidates who do not meet these requirements but are deemed by the programme director to have reached an equivalent standard may also be


1 year, full-time (MSc); 2 years, part-time (MSc); 1 year, part-time (PDip).

Careers or further progression

Career Opportunities
Graduates will be excellently qualified to pursue new career opportunities in industry, to establish new ventures, or to do PhDlevel research.

Further enquiries

Dr Conor Hayes
T: +353 91 493 143

Application date

1CSD1, full-time; 1CSD2, part-time; 1DCS2, 1 year part-time Diploma.

When To Apply: This is an in-demand course. Candidates are encouraged to apply as early as possible. Offers will be issued on a continuous basis. The course will close as soon as all places are filled.

Remember to mention gradireland when contacting institutions!