Artificial Intelligence for Business - Athlone

This programme’s aim is to develop graduates with skills in artificial intelligence, with a focus on business use cases of this technology. Recognising the increasing value of artificially intelligent models to organisations, graduates of this programme will be versed in the technologies, processes, and socio-ethical considerations of artificial intelligence as applied in business contexts. In the third and final semester during the summer, students will complete a substantive project and dissertation document.

Trimester 1

Mathematics for Artificial Intelligence Credits : 5

Business Artificial Intelligence Case Studies Credits: 5

Fundamentals of Machine Learning Credits: 10

Data Engineering Credits: 10



Trimester 2

Data Mining and Business Intelligence Credits: 10

Artificial Intelligence Product Management Credits: 10

Legal, Social and Ethical Implications of AI Credits: 5

Research Methods Credits: 5



Trimester 3

Applied Research Project Credits: 30

Students are expected to have a minimum of a Merit Higher Diploma (Level 8) or 2.2 Honours Bachelor Degree (Level 8) in Computing/Business Computing, Electronics, Computer Science, Software Engineering, Data/Business Analytics, Physics, Statistics or equivalent.



Non-native English speakers are required to have an IELTS level of 6.5 or higher, or a CEFR English level of at least B2 or equivalent.

1 Year full-time.



Class Contact Hours

13 (average for first and second trimesters), 1 hour contact for third and final summer trimester

Further Study

Upon completion, graduates will be eligible to apply to a relevant Level 10 programme.



Career Opportunities

Graduates from this programme will be in a very strong position to move into an AI role in any organisation, especially considering their original qualifications and, in some cases, work experience. This programme will equip graduates with the key skills required to work in a business world where artificial intelligence is becoming ever more present. Roles that graduates could fill after completing the programme include:



Data Analyst

Data Scientist

Data/AI Sales Strategist

Sales Engineer

Product Owner

Data Engineer