Computer Science - Intelligent Systems (M.Sc./P.Grad.Dip)

Overview

Course Overview

The M.Sc. in Computer Science – Intelligent Systems programme focuses on smart, interactive web applications and systems, which are becoming an integral part of our daily lives at home, in the workplace, and in social interaction. Designing and building these systems requires expertise in artificial intelligence, human language understanding and generation, web systems and applications, data analytics and knowledge engineering. This strand is closely linked to the school’s research groups involved in the ADAPT national research centre for Digital Content Technology.

Is This Course For Me?

This course is designed for graduates from a computing or closely related undergraduate background. Candidates with a good undergraduate Honours degree in disciplines such as engineering, mathematics, or statistics are also encouraged to apply, if they have acquired good programming skills. Candidates will be required to provide evidence of their computing skills and experience.

Career Opportunities

Employment opportunities exist in a range of areas such as internet-based services, financial services, mobile communication companies. Students will also benefit from the comprehensive research scope, networks, and wealth of research achievements in both the School and the ADAPT Centre. Graduates will be suited to careers in web technology companies such as Google, Facebook, Twitter, Amazon, LinkedIn, Microsoft, IBM, PayPal, Symantec, eBay and SAP, Business-Intelligence led organisations, Consultancy companies, Innovative start-ups building intelligent applications, and IT teams within large service organisations.

Course Structure

The full M.Sc. programme, comprising 90 ECTS credits, takes one full calendar year to complete and leads to the qualification of M.Sc. in Computer Science – Intelligent Systems, a Level 9 award under the Irish National Framework for Qualifications (NFQ).

Between September and April, students attend two 12-week teaching semesters, each followed by an assessment period, where they take a range of taught modules. Then, from April to August, students work full-time on their individual research dissertations.

Students may exit with an award of Postgraduate Diploma (P.Grad.Dip.) in Computer Science – Intelligent Systems (NFQ Level 9) upon successful completion of 60 ECTS of taught modules, not including the Research Dissertation.

Course Content

The following core modules are taken by all students on the course: Machine Learning; Artificial Intelligence; Information Retrieval & Web Search; Knowledge & Data Engineering; Adaptive Applications; Text Analytics; Advanced Software Engineering; and Research Methods and Innovation.

Students also take a number of individually chosen elective modules from a pool of options.

Finally, all students complete a substantial Research Dissertation which comprises a third of the entire course.

Please note that the course is updated on an annual basis and some minor changes occur from year to year.