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1 Year On Campus Masters Program
South East Technological UniversityThe MSc in Applied Artificial Intelligence at South East Technological University is a Level 9 master’s degree designed to give you hands-on expertise in key areas of AI — from machine learning and deep learning to deploying intelligent systems in real-world settings. It’s perfect for students looking to turn a computing background into advanced AI skills that solve real business and societal challenges and prepare them for careers in software engineering, data science, and intelligent systems development.
Curriculum Structure
Year 1 (Full-Time – 1 Year)
In the first year, you’ll dive into core technical and applied subjects that form the foundation of modern AI. You’ll start with Programming and Tools for AI, gaining fluency in essential languages and platforms used to build intelligent systems. Practical Machine Learning and Deep Learning guide you through designing, training, and validating models that drive predictive and decision-making capabilities.
The curriculum also covers AI Application Domains and Intelligent Cyber Physical Systems, where you’ll explore how AI integrates into both hardware and software contexts. The AI at the Edge module focuses on embedding AI into devices while considering societal impact. A Research Methods module equips you with skills for academic research, project planning, and structured problem-solving.
Finally, you will complete a Dissertation, a substantial project that applies your learning to a real-world problem. This allows you to demonstrate your skills in algorithm design, system implementation, and evaluation in a practical setting.
Focus Areas
Machine Learning, Deep Learning, Intelligent Systems, AI Programming and Tools, Cyber-Physical Integration, Edge AI Applications
Learning Outcomes
Apply practical AI and machine learning techniques, design and evaluate intelligent algorithms and systems, solve real-world problems using AI tools, integrate ethical and societal considerations into AI solutions
Professional Alignment (Accreditation)
The programme is awarded at Level 9 on Ireland’s National Framework of Qualifications as a Master of Science, reflecting high-quality, university-level postgraduate study. SETU’s degrees are recognised and validated within the Irish higher education system.
Reputation (Employability & Rankings)
South East Technological University, formed from established institutes of technology, offers industry-focused postgraduate programmes that prepare graduates for the growing AI job market. Its AI master’s programme equips students with practical, in-demand skills for high-demand careers, and the university is nationally recognised for student satisfaction and personalised learning.
In the MSc in Applied Artificial Intelligence at SETU, you’ll gain much more than theoretical knowledge — you’ll develop practical skills that are in high demand by employers. The programme is built around hands-on experience with modern AI tools and techniques, giving you the chance to apply what you learn in real projects and build a professional portfolio. The computing facilities at SETU’s Carlow campus provide industry-standard software and technical support, enabling you to experiment and innovate with confidence. The Department of Computing also maintains active research links with partners across Europe, keeping your learning closely connected to real-world AI developments.
Some of the key experiential learning opportunities include:
Practical AI programming and development tools: Work with advanced programming environments and libraries through modules like Programming and Tools for AI, Practical Machine Learning, and Deep Learning, allowing you to build and test intelligent systems.
Applied project work and dissertation: Complete a substantial dissertation where you take a real problem, design an AI solution, and implement and evaluate it under faculty guidance.
Collaborative lab-style learning: Make use of well-equipped computing labs and services that support hands-on practice, experimentation with datasets, and teamwork on AI projects.
Industry relevance and research connections: Benefit from projects and assignments that reflect real challenges in AI, supported by the department’s industry partnerships and research collaborations.
Supportive campus environment: Access modern library resources, study support services, and campus networks that enhance your learning and research experience.
Graduates of the MSc in Applied Artificial Intelligence at South East Technological University move into exciting careers where they can apply advanced AI skills to real-world problems. You’ll be well prepared for roles that value both technical ability and practical experience, including positions as a Machine Learning Engineer, Data Scientist, AI Consultant, or Software/AI Systems Developer. These outcomes reflect the programme’s applied focus and strong alignment with industry needs.
Career Development Centre support: SETU’s Careers Development Centre helps you prepare for employment through CV guidance, interview coaching, placement support, and employer networking events.
University–industry connections: The programme’s applied projects and dissertation work are informed by real-world industry challenges, and you’ll have opportunities to meet potential employers through university-hosted events and job fairs.
Accreditation and long-term value: The MSc is a Level 9 qualification on Ireland’s National Framework of Qualifications, providing a respected academic credential recognised in Ireland and internationally.
Graduate outcomes: With the practical curriculum and focus on current AI technologies, graduates are ready to contribute in analytics, intelligent systems development, and applied AI engineering. Specialised career paths in areas like computer vision, natural language processing, or AI architecture are also possible with professional experience.
Further Academic Progression:
After completing this MSc, students can continue their studies through research-led programmes such as a PhD in Artificial Intelligence, Computer Science, or related fields. SETU’s strong research environment and collaborations with research centres provide a foundation for academic and R&D careers, and graduates may also pursue professional development courses or certifications that further enhance their AI expertise.
Applicants need a second-class honours Level 8 degree in Computer Science (or equivalent) with sufficient programming and numerate content, and the programme team must confirm eligibility based on relevant module performance.Candidates without the standard entry requirements may be considered if they hold a Level 7 (or higher) undergraduate degree and have at least 5 years of relevant industry experience.Applicants who do not have a primary degree will only be considered with a minimum of 10 years verifiable relevant industrial experience.Shortlisted applicants who don’t meet the standard entry requirements may be invited for an interview.EU and international graduates with qualifications aligned with the Bologna framework or NARIC Level 8 equivalence.English language requirements: IELTS Academic 6, TOEFL CBT 213, TOEFL iBT 80, or TOEFL PBT 575India: Four-year professional bachelor’s degrees (e.g., B.Tech, BEng, BPharm, PharmD) or three-year degrees that meet entry requirements (e.g., BBA, BCA, BMS) with a minimum final mark/GPA of 60%, equivalent to Level 8 on the Irish National Framework.India: Cognate degrees allow entry to Master’s programmes; non-cognate degrees allow entry to Higher Diploma programmes; three-year general honours degrees (e.g., BSc, BA, BCom) do not meet entry requirements.USA: Bachelor’s degree with a minimum GPA of 60%, equivalent to Level 8 on the Irish National Framework of QualificationsChina: Bachelor’s degree (学士学位) with a minimum final mark/GPA of 60%Data ScientistMachine Learning EngineerAI ConsultantSoftware EngineerData AnalystBusiness Intelligence SpecialistMachine and Deep Learning EngineerAI Systems ArchitectComputer Vision SpecialistNatural Language Processing (NLP) EngineerAI Researcher (Master’s/PhD pathway)
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