| Program start date | Application deadline |
| 2024-09-16 | - |
| 2025-01-20 | - |
Program Overview
The MSc in Artificial Intelligence program equips graduates with a comprehensive understanding of AI concepts and their application in real-world problem-solving. Through a blend of academic research, industry-defined problems, and case studies, the program develops critical thinking, problem-solving, and communication skills essential for success in the AI industry. Graduates are prepared for careers as AI engineers, machine learning engineers, data scientists, and other roles in the rapidly expanding AI field.
Program Outline
Degree Overview:
Overview:
The MSc in Artificial Intelligence program aims to produce highly competent and innovative graduates equipped to become leaders in the AI industry. The program provides a deep understanding of fundamental and specialized AI topics, as well as their application in solving real-world problems. Graduates will gain expertise in the complete AI software development lifecycle, including requirements gathering, implementation, evaluation, and documentation.
Objectives:
- Provide a comprehensive understanding of foundational AI concepts, including Machine Learning, Optimization Techniques, and AI tools and technologies.
- Equip students with the ability to design, implement, and evaluate AI systems that address real-world challenges, adhering to industry practices and standards.
- Develop students' skills in selecting, applying, and evaluating advanced AI techniques to enhance decision-making processes.
- Foster students' ability to effectively communicate and present technical AI solutions.
- Promote critical thinking, problem-solving, research, and ethical considerations in AI development and deployment.
- Prepare graduates to conduct independent research in the field of Artificial Intelligence.
Program Description:
The MSc in Artificial Intelligence curriculum combines academic research, industry-defined practical problems, and case studies to provide a comprehensive learning experience. This approach fosters a deep understanding of AI principles while developing essential industry-relevant skills such as critical thinking, problem-solving, creative thinking, communication, teamwork, and research abilities.
Outline:
Program Content:
- Core Modules:
- Foundations of Artificial Intelligence
- Programming for Artificial Intelligence
- Data Analytics for Artificial Intelligence
- Data Governance and Ethics
- Engineering and Evaluating Artificial Intelligence Systems
- Intelligent Agents and Process Automation
- Artificial Intelligence Driven Decision Making
- Machine Learning
- Emergent Artificial Intelligence Technologies and Sustainability
- Research Elective:
- Practicum
- Internship
- Elective Modules:
- Subject to availability and a minimum number of students required to run the module.
Assessment:
The MSc in Artificial Intelligence program employs a blended assessment approach, typically consisting of:
- Continuous assessment: 50%
- Exam: 50% The specific assessment methods and criteria may vary between modules. For further details, students are encouraged to consult the module descriptors.
Teaching:
The MSc in Artificial Intelligence program is delivered through on-campus face-to-face classes. The program utilizes various learning methods, including:
- Lectures and seminars
- Practical tutorials
- Group projects
- Case study analysis
- Research activities The program is led by experienced faculty with expertise in the field of Artificial Intelligence. The faculty are committed to providing students with a supportive and engaging learning environment that encourages critical thinking, innovation, and research excellence.
Careers:
The MSc in Artificial Intelligence program prepares graduates for a wide range of career opportunities in the rapidly expanding AI industry, including:
- Artificial Intelligence Engineer
- Machine Learning Engineer
- Data Scientist
- AI Researcher
- Software Developer
- Business Analyst
- Management Consultant Graduates of the program will possess the knowledge and skills to drive innovation and solve complex problems across various sectors such as healthcare, finance, manufacturing, and technology.
Tuition Fees and Payment Information:
- Course Fee: €6,800 total fee (EU/Ireland applicants, fees revised annually)
- International Students' Fees:
- The course fee for international students for September 2024 is €15,000.
- From the January 2025 intake onwards, the course fee for international students will be €17,000.
- Fees will be revised annually.
National College of Ireland
Overview:
National College of Ireland (NCI) is an award-winning college located in Dublin. It offers a wide range of undergraduate and postgraduate programs in various fields, including business, computing, psychology, and education. NCI is known for its commitment to quality and innovation, and it is a HEA-funded institution.
Services Offered:
NCI provides a comprehensive range of services to its students, including:
Support Services:
Academic advising, career counseling, disability support, and student well-being services.Library:
Access to a well-stocked library with online resources and study spaces.Careers:
Career development resources, job postings, and career fairs.International Students:
Dedicated support for international students, including visa assistance and cultural integration programs.Student Accommodation:
Information and assistance with finding suitable accommodation options.Sports & Recreation:
Access to a gym, café, recreation room, and various sports clubs and societies.Childcare:
Information and support for students with childcare needs.Student Life and Campus Experience:
NCI offers a vibrant and engaging campus experience with opportunities for students to:
Connect with peers:
Join clubs and societies, participate in social events, and build a strong network.Develop skills:
Engage in extracurricular activities, volunteer opportunities, and leadership programs.Explore Dublin:
Enjoy the city's rich culture, vibrant nightlife, and diverse attractions.Key Reasons to Study There:
Award-winning institution:
NCI is recognized for its high-quality education and innovative teaching methods.Industry-relevant programs:
The curriculum is designed to meet the needs of the modern workforce, with a focus on practical skills and real-world experience.Experienced faculty:
NCI boasts a team of experienced and dedicated faculty members who are experts in their fields.Strong alumni network:
Graduates have access to a supportive network of alumni who can provide guidance and mentorship.Location in Dublin:
NCI is located in the heart of Dublin, offering students access to a thriving city with numerous career opportunities.Academic Programs:
NCI offers a wide range of academic programs, including:
School of Business:
MBA programs, undergraduate and postgraduate business degrees, and specialized business courses.School of Computing:
Undergraduate and postgraduate degrees in computer science, software engineering, and data analytics.Cloud Competency Centre:
Specialized programs in cloud computing, cybersecurity, and data management.Psychology Department:
Undergraduate and postgraduate degrees in psychology, as well as research opportunities.Centre for Education and Lifelong Learning:
Teacher education programs, postgraduate degrees in education, and professional development courses.Other:
NCI also offers:
Springboard+ Programs:
Free online courses in technology, funded by the Irish government.Apprenticeships:
Opportunities to gain practical skills and work experience through apprenticeships.Research:
Active research programs in various fields, including business, computing, and education.Services to Business:
Facilities for business meetings, conferences, and events.Early Learning Initiative:
Programs and services to support early childhood development and family well-being.Entry Requirements:
A minimum of a level 8 primary degree in Computing or a cognate area with a 2.2 award or higher or equivalent on the National Qualifications Framework. Cognate area means a STEM (Science, Technology, Engineering, and Mathematics) degree that also taught programming/application development related modules. An assessment and/ or interview may be conducted to ascertain suitability if necessary. The College operates a Recognition of Prior Experiential Learning (RPEL) scheme meaning applicants who do not meet the normal academic requirements may be considered based on relevant work and other experience. This may be assessed using a portfolio of learning, demonstration of work produced, and an interview. The programming ability of the applicant will also be assessed.
Language Proficiency Requirements:
Non-English speaking applicants must demonstrate fluency in the English language as demonstrated by IELTS academic score of at least 6.0 or equivalent.
