Computer Science - Artificial Intelligence for Managers

University of Galway


Course Name Computer Science - Artificial Intelligence for Managers
Course Provider University of Galway
Course Code 112607 (Assigned by Qualifax. Not an official code)
Course Type Postgraduate
Award NameNFQ ClassificationAwarding BodyNFQ Level
Postgraduate Certificate National University of Ireland None
Apply To Course provider
Attendance Options Part time
Location (Districts) Galway City
Qualification Letters PgCert
Application Date WHEN TO APPLY: Please contact Dr Patrick Mannion and/or ITAG Skillnet for application information.
Application Weblink Web Page - Click Here
Duration 1 year, part-time.
Course Fee Fees are €4,950, subsidised by ITAG Skillnet.
Link to Course Fee Web Page - Click Here
Financial Support Grants
Comprehensive information is available online at Grant applications can also be made online at

Tax Relief
Full- and part-time students may be entitled to tax relief on tuition fees. Applications for tax relief on course fees paid must be made using an application form available from the Revenue Commissioners. See The maximum amount of tax relief on tuition fees is €7,000 per annum.
Entry Requirements Minimum Entry Requirements
Strong Level-8 undergraduate degree, not necessarily in computer science. (Work experience may be considered as an alternative.) Must be working in industry in Ireland at an appropriate level (management or transitioning to management).
Number of Places 20
Course Summary The course is fully online, over two semesters. We use asynchronous delivery to suit business leaders’ schedules, through videos, readings, exercises, discussion boards, group work, and more, with optional synchronous video sessions. We emphasise continuous assessment. Students will deliver multiple assessment items over the year, with limited use of exams. Students will customise projects to opportunities in their own companies.
1. Online, part-time, small-class experience, tailored to business leaders

2. NUI Galway School of Computer Science has a long track record of research excellence, teaching excellence, and industry collaboration, all in the area of artificial intelligence.

3. Students will study AI fundamentals and use cases, data analysis and visualisation, strategy and transformation, ethics and law for AI, and the future of AI.
Careers or Further Progression Career Opportunities
The field of artificial intelligence (AI) continues to grow very quickly, as techniques which have been proposed over decades are finally being shown to work. Milestones and grand challenges are being achieved. There is no prospect of AI growth slowing in the coming decades. Business leaders need to know how to strategise, envision projects, and hire and manage teams, without needing to become programmers.
Further Enquiries CONTACT
Dr Patrick Mannion
Course Web Page Web Page - Click Here
International Students Web Page - Click Here