| Course Name |
Artificial Intelligence |
| Course Provider |
University of Limerick |
| Course Code |
103307 (Assigned by Qualifax. Not an official code) |
| Course Type |
Postgraduate |
| Qualifications |
| Award Name | NFQ Classification | Awarding Body | NFQ Level |
| Degree - Masters (Level 9 NFQ)
More info...
|
Major |
University of Limerick |
Level 9 NFQ |
|
| Apply To |
Course provider |
| Attendance Options |
Part time, Online or Distance |
| Location (Districts) |
Limerick City |
| Qualification Letters |
MSc |
| Application Date |
Expand+How to apply:
1. Choose your programme.
2. Check closing date for the programme.
3. Apply online at www.ul.ie
4. Have your supporting documentation ready to upload.
5. Pay the application fee (€35 online / €40 bank draft or cheque).
6. Subm...
Hide-How to apply:
1. Choose your programme.
2. Check closing date for the programme.
3. Apply online at www.ul.ie
4. Have your supporting documentation ready to upload.
5. Pay the application fee (€35 online / €40 bank draft or cheque).
6. Submit your application.
What to include in your application:
Scanned original copies of your Award Certificates/Full Transcripts for examinations mentioned on your application form
For Irish/EU applicants– Award certificate with overall award or Final Transcript
Non- EU applicants - Award certificate with overall award and Final Transcript
Graduates of UL need only provide us with their UL Student ID number.
If your qualifications have been obtained in a country where English is an official language this will suffice
If this is not available, the following additional documents must be provided:
• English translation of your qualification(s)/transcripts
AND
• English language competency certificate
A copy of passport for verification of full legal name.
Applicants in Categories 2 to 4 will need to upload a CV* and if applicable other relevant documentation to support their application, such professional certificates, supporting statements, etc.
Applicants in Category 4 will need to complete the RPL (Recognition of Prior Learning) form and submit it with their application.
*Please Note: Preferred CV format to have Educational detail before Employment detail
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| Application Weblink |
Web Page - Click Here |
| Duration |
2 years part-time online. |
| Link to Course Fee |
Web Page - Click Here |
| Financial Support |
Key Fact:
This programme is the national programme in Artificial Intelligence supported by Technology Ireland the ICT representative body. ICT Ireland Skillnet, gives a fee subsidy to eligible participants. |
| Entry Requirements |
Expand+Category 1: The principal entry requirement is a Level 8 honours degree, at minimum second class honours (NFQ or other internationally recognised equivalent), in a relevant engineering, computing, mathematics, science or technology discipline.
Ca...
Hide-Category 1: The principal entry requirement is a Level 8 honours degree, at minimum second class honours (NFQ or other internationally recognised equivalent), in a relevant engineering, computing, mathematics, science or technology discipline.
Category 2: Applicants who possess a Level 8 Honours degree in other disciplines, which have a significant mathematics and computing element, will also be considered.
Category 3: Applicants who possess a Level 8 honours degree at minimum second class honours in a non-numerate discipline and have a minimum of three years experiential learning in an appropriate computing discipline may also be considered. A decision on the suitability and relevance of their experiential learning will be made by the University of Limerick.
Category 4: Applicants who do not meet any of the minimum educational requirements but have:
at least seven years work experience in a relevant computing or engineering environment
and/or
are in a senior or supervisory role in a company engaged in activities relevant to the subject matter of the programme;
may be considered under the University of Limerick policy that allows for the Recognition of Prior Learning (both formal and informal/experiential learning), non-accredited personal and professional education; industry-accredited certifications; and work-based training.
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| Course Summary |
An exciting two-year part-time programme to give current and potential AI engineers the skills, theory and recognition they need to develop in their role. Candidates can gain a full MSc degree in this specialist area through a mixed learning process with an emphasis on practical application in the workplace. The programme is aimed at existing information technology professionals and those migrating from associated disciplines with the necessary computing and mathematics competencies. |
| Course Content |
Participants must complete the preparatory Certificate in Artificial Intelligence to the equivalent of a 2nd class honours level to be eligible for entry to the Masters, regardless of their prior qualifications or experience. Successful completion of the preparatory Course will lead to the award of a Certificate in Artificial Intelligence by UL (Special Purpose Award, Level 8, 12 ECT credits). |
| Subjects Taught |
Expand+Programme Content
Year 1
Autumn Semester
• Introduction to Scientific Computing for AI
• Introduction to Deep Learning and Frameworks
Spring Semester
• Artificial Intelligence and Machine Learning
• Data Analytics
Summer Semester
...
Hide-Programme Content
Year 1
Autumn Semester
• Introduction to Scientific Computing for AI
• Introduction to Deep Learning and Frameworks
Spring Semester
• Artificial Intelligence and Machine Learning
• Data Analytics
Summer Semester
• Advanced Topics Seminars and Project Specification
• Risk, Ethics, Governance and Artificial Intelligence
Students will have the option of selecting a Modern Machine Learning or a Natural Learning Processing stream for Year 2.
Year 2 - Modern Machine Learning stream
Autumn Semester
• Machine Vision
• Machine Learning Applications
Spring Semester
• Deep Learning
• Artificial Intelligence and Data Science Ecosystems: Theory And
Practice
Summer Semester
• Project and Dissertation - AI
Year 2 - Natural Language Processing stream
Autumn Semester
• Natural Language Processing: An Introduction
• Information Retrieval
Spring Semester
• Advanced Natural Language Processing
• Natural Language Understanding
Summer Semester
• Project and Dissertation - AI
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| Further Enquiries |
Course Director
Dr. Pepijn Van de Ven
Tel: +353 (0) 61 202925
Email: pepijn.vandeven@ul.ie |
| Course Web Page |
Web Page - Click Here |
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