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| COURSE DETAILS | ||
|---|---|---|
| Course Name | MSc in Artificial Intelligence | |
| Duration: | 1 Year | |
| NFQ Level: | Level 9 | |
| Brochure: | ||
This course aims to produce high-quality, technically competent, innovative graduates that will become leading practitioners in the field of artificial intelligence. The MSc in AI contains modules covering fundamental and specialised AI topics, as well as topics related to operationalisation and application of AI to solve real-world problems.
All students will gain a deeper understanding of the complete development lifecycle of AI software applications, from requirements elicitation and analysis, implementation, decision making, evaluation, and documentation.
The course will be delivered using academic research, industry defined practical problems, and case studies. This approach will naturally provide a deeper knowledge of AI and create skills required in industry such as critical thinking, problem-solving, creative thinking, communication, teamwork, and research skills.
Upon completion of this course, graduates will be able to:
Elective modules are subject to availability and a minimum number of students required to run a module
The course will be assessed with a blend of project work and exams. This varies between modules but typically assessment is 50% continuous assessment and 50% exam.
For more information on the modules taught on this course view our module descriptors.
The Master of Science in Artificial Intelligence is awarded by QQI at level 9 on the National Framework of Qualifications. Students who successfully complete this course may progress to a major award at level 10 on the NFQ. Students may also elect to exit early with the Postgraduate Diploma in Science in Artificial Intelligence level 9 on the NFQ.
Potential recruiters include corporate companies and research labs who are the providers of AI-enabled solutions of today's real-world problems such as Microsoft, Huawei, LinkedIn and Citi Bank.
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.
Non-English speaking applicants must demonstrate fluency in the English language as demonstrated by IELTS academic score of at least 6.0 or equivalent.
For international students, please visit NCI's Your Country section to view the specific entry requirements for your region.
Students need to be available 09.00 - 18.00 Mon - Fri (class days and times vary).
Please note that in some instances exams may take place in the daytime, evening, and/or at weekends.
On-campus face-to-face classes.
See the MSc in Artificial Intelligence course brochure for an explanation of the learning methods.
This course runs over 1 year; 3 semesters with an internship/research practicum.
€7,000 total fee
(EU/Ireland applicants, fees revised annually)
You can spread the cost of this course with a direct debit plan.
We offer a range of scholarships and discounts for both NCI and non-NCI graduates. Current NCI students and alumni can avail of a 25% discount on this course by applying for our Master's Edge Scholarship.
View our full list of scholarships.
The course fee for international students is €17,000
Fees will be revised annually.
For more information on international fees, please visit International Fees & Funding and International Scholarships. Learn more about studying at NCI as an international student.
