1 Year On Campus Masters Program
The Master of Science in Artificial Intelligence at Dublin Business School is a hands-on postgraduate programme that equips you with both the theoretical understanding and practical skills needed to excel in AI-driven industries. It’s ideal for graduates with a background in computing, engineering, mathematics, or related fields, as well as professionals looking to move into AI, offering practical experience in machine learning, natural language processing, and intelligent systems.
Curriculum Structure
Semester 1
In the first semester, you’ll build a solid foundation in programming and core AI principles. You’ll develop coding and data analysis skills through Programming for Data Analysis, explore how intelligent systems operate in Graph and AI, and learn to identify patterns in data with Machine Learning and Pattern Recognition. Research Methods introduces you to academic inquiry and sets the stage for more advanced study.
Semester 2
The second semester dives deeper into specialized AI techniques and applications. You’ll learn how recommendation engines function in Recommender Systems, understand neural networks in Deep Learning, and explore decision-making algorithms in Reinforcement Learning. Natural Language Processing helps you understand how machines interpret human language, while Applied Research Methods further develops your research skills in preparation for your final project.
Semester 3: Applied Research Project / Dissertation
The final semester focuses on your Applied Research Project or Dissertation, giving you the opportunity to apply everything you’ve learned to a real-world AI challenge. This capstone project allows you to showcase your technical expertise, creativity, and research abilities, providing a strong portfolio piece for potential employers.
Focus areas:
Artificial intelligence core techniques, machine learning and pattern recognition, deep learning, recommender systems, reinforcement learning, natural language processing, and research practice.
Learning outcomes:
Graduates will be able to design and implement intelligent systems, apply AI tools to solve complex problems, conduct independent research, and communicate technical solutions clearly to a range of audiences.
Professional alignment (accreditation):
The programme is awarded by Dublin Business School and accredited by Quality & Qualifications Ireland (QQI) at Level 9 on the Irish National Framework of Qualifications.
Reputation (employability):
While specific QS or Guardian rankings for this programme are not published, Dublin Business School is recognised for postgraduate education in Ireland. The curriculum is designed to meet industry demand and prepares graduates for roles such as AI Engineer, Data Analyst, or AI Manager.
At DBS, the MSc in Artificial Intelligence isn’t just about lectures and theory — you’ll spend plenty of time applying your skills in real-world scenarios through hands-on projects, teamwork, and practical exercises. The programme combines classroom learning with interactive computer lab sessions, giving you daily experience with coding, AI development, and advanced analytical tools that are highly valued by employers. You’ll also take part in group assignments and individual technical demonstrations, which help develop collaboration and problem-solving skills. The highlight of your experiential journey is the Applied Research Project or dissertation, where you design, implement, and present a complete AI solution of your own:
Practical computer lab sessions where you apply programming and machine learning techniques to real datasets, guided by experienced faculty.
Continuous project-based assessments, including group and individual projects, portfolios, and technical demonstrations that build a professional portfolio as you learn.
The capstone Applied Research Project or dissertation module, where you independently research and implement an AI-focused solution, such as developing a machine learning model or building a domain-specific AI system, under academic supervision.
Access to modern learning facilities across DBS’s Dublin city centre campus, including up-to-date IT labs, collaborative study spaces, and the library for research support.
Collaboration with peers on multidisciplinary tasks that develop teamwork, communication, and project management skills essential for careers in technology.
Graduates of the MSc in Artificial Intelligence from Dublin Business School leave well-equipped to step into a rapidly growing world of intelligent systems and data-driven roles. Typical career paths include positions such as AI Engineer, Data Analyst, AI Manager, and AI Policy Maker. The programme develops both your technical expertise and professional skills, ensuring you are ready to meet the demands of employers across sectors where AI is transforming how decisions are made and services are delivered:
Career Services Support: DBS’s Career Services Team works closely with students to develop employability skills, offering guidance on CV writing, interview preparation, job search strategies, and personalised career planning to help you make a smooth transition into your first professional role.
Employability Focus: The course builds key professional capabilities, including communication, teamwork, and problem-solving, alongside your technical training, giving you an edge in a competitive job market.
Industry Relevance: The programme content and career support are designed to align with current industry needs, preparing you for roles in both multinational companies and SMEs.
Accreditation Value: This MSc is accredited by QQI at Level 9 on the Irish National Framework of Qualifications, a recognised standard that adds long-term value to your qualifications.
Graduate Outcomes: You’ll graduate with in-demand skills in AI and data fields, advanced analytical thinking, technical AI proficiency, and the ability to contribute effectively to multidisciplinary teams.
Further Academic Progression:
After completing this MSc, you could continue with research-focused postgraduate studies such as a PhD in Artificial Intelligence, Machine Learning, or Data Science. You might also pursue specialised professional certifications in areas like advanced machine learning, neural networks, or AI ethics and governance. This master’s provides a strong platform for academic research or highly technical professional roles, including positions as a research scientist or university lecturer in computing and AI.



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