Artificial Intelligence for Business – MSc

1 Years On Campus Masters Program

Technological University of the Shannon: Midlands Midwest

Program Overview

The MSc in Artificial Intelligence for Business at Technological University of the Shannon equips you with practical skills and strategic understanding to apply AI technologies directly in real business settings. This one-year full-time master’s is perfect for graduates who want to drive innovation in data-driven roles or move into AI-focused careers across industries.

Curriculum Structure:

Trimester 1:
You’ll start by building the essential foundations for intelligent systems and their business applications. Modules like Mathematics for Artificial Intelligence strengthen your core skills in linear algebra, probability, and statistics to confidently handle data. Fundamentals of Machine Learning helps you design, train, and evaluate predictive models, while Data Engineering teaches you to manage and transform complex datasets. You’ll also analyse practical business scenarios through Business AI Case Studies, giving you both technical depth and real-world perspective.

Trimester 2:
The second trimester focuses on applying your knowledge in broader business and ethical contexts. Data Mining and Business Intelligence introduces advanced analytics techniques to extract insights from complex datasets. Artificial Intelligence Product Management prepares you to lead AI projects across teams, and Legal, Social and Ethical Implications of AI helps you understand responsible AI deployment. You’ll also complete Research Methods to prepare for your capstone project.

Trimester 3 / Applied Research Project:
In your final trimester, you’ll complete a substantial Applied Research Project and dissertation, applying technical, analytical, and communication skills to solve a real business challenge using AI. This capstone showcases your ability to work independently and bring together everything you’ve learned throughout the program.

Focus Areas: Artificial intelligence technologies, machine learning, data engineering, business analytics, product management, ethical and legal AI considerations.

Learning Outcomes: Graduates will be able to design and implement AI solutions for business problems, analyse complex datasets, manage responsible AI deployment, and communicate insights effectively to stakeholders.

Professional Alignment (Accreditation): Awarded as a Level 9 Master’s degree on the Irish National Framework of Qualifications by Technological University of the Shannon, this degree aligns with internationally recognised postgraduate standards in AI and business computing.

Reputation (Employability Rankings): TUS is a recognised technological university in Ireland, and graduates are well-positioned for careers such as Data Analyst, Data Scientist, AI Product Owner, or Data Engineer — all in high demand as businesses adopt intelligent systems.

Experiential Learning (Research, Projects, Internships etc.)

At TUS, the MSc in Artificial Intelligence for Business goes far beyond traditional lectures. You’ll gain practical skills by working directly with real data, using industry-standard tools, and applying AI techniques to genuine business challenges. From hands-on analytics tasks in dedicated computer labs to tackling live case studies and completing a major applied research project, you’ll be learning by doing at every stage. The campus also offers collaborative spaces, extensive library resources, and IT facilities that support your learning and research:

Access to a dedicated Student Computer Centre with PCs for coursework, data analysis, coding, and project work, including all necessary software tools.
Fully equipped IT labs and campus Wi-Fi for programming assignments, machine learning projects, and independent study.
Extensive support from the TUS Library, providing research resources, databases, and collaborative study areas for your dissertation and project work.
A substantial Applied Research Project in your final trimester, where you will integrate technical and analytical skills to solve real business problems using AI, developing problem-solving, planning, and communication skills.
Group projects embedded in modules such as Business AI Case Studies and Artificial Intelligence Product Management, giving you experience working collaboratively to analyse datasets and present actionable insights.

These experiences ensure that graduates leave the program not only with strong theoretical knowledge but also with practical expertise, teamwork skills, and real-world problem-solving experience.

Progression & Future Opportunities

Graduates from the MSc in Artificial Intelligence for Business are well prepared to enter the workforce with highly sought-after skills in data analysis, machine learning, and AI-driven business decision-making. Typical roles include Data Analyst, Data Scientist, AI Product Owner, or AI/Business Strategy Specialist, offering opportunities across sectors such as consulting, finance, technology, and enterprise innovation:

Careers & Employability Support: The university’s Careers and Employability Service provides one-to-one guidance, CV and interview preparation, workshops, networking opportunities, and support for professional placements to help students transition confidently into the job market.
Graduate Employment Success: TUS has a strong track record for graduate employment, with many postgraduate taught graduates securing roles within nine months of completing their studies.
Salary Prospects: Graduates often start in professional roles with salaries typically ranging from €35,000 to €39,000, with opportunities for higher earnings as you gain experience.
Industry Engagement: The programme benefits from strong university–industry connections, helping ensure the skills you develop are closely aligned with what employers need in AI and business.
Accreditation & Long-Term Value: As a Level 9 master’s on the Irish National Framework of Qualifications, this degree provides recognised postgraduate accreditation that supports career advancement and international opportunities.

Further Academic Progression:
After completing this master’s, you can continue your studies at doctoral level or pursue further specialised certifications. Graduates are eligible to apply for Level 10 research programmes, including PhD study in areas such as applied artificial intelligence, data science, or business innovation, which can open pathways into research, academia, and leadership roles.