Available: Part- Time
Duration: 1 Year
Award: Professional Diploma
Qualification: NFQ Level 9 Major Award
Faculty: Science and Engineering
Course Type: Professional/Flexible
Fees: For Information on Fees, see section below.
Application Deadline: Tuesday, August 2, 2022
The Professional Diploma in Intelligent Systems teaches students how to apply intelligent system approaches and techniques that helps business develop technical solutions to the competitive challenges that it faces on a daily basis in a Digital world.
A particular focus for this Diploma will be in explaining the role that Artificial Intelligence, Machine Learning and Simulation Modelling can play in solving complex, multifactorial problems within Digital Enterprises.
The Diploma consists of specialist modules in
- Introduction to Scientific Computing in Artificial Intelligence
- Introduction to Deep Leaning and Analysis Frameworks
- Automated System Design
- Simulation Modelling in Supply Chains.
- Digital Futures Project Portfolio Planning.
The programme will be delivered fully online. Students will experience a supportive and dynamic learning environment in which there will be an emphasis on peer learning, team learning, critical reflection and feedback. Through the virtual learning environment students will have an opportunity to engage with a range of learning methods and problems. Between session students will be supported by faculty and staff online.
On successful completion of this programme, the graduate will be able to:
- Identify, and develop the skills necessary to design and implement Intelligent Systems within a complex and evolving work environment within Industry.
- Use intelligent system approaches and techniques to develop business/technical solutions to the competitive challenges within industry and with a particular focus on the role of simulation modelling within digital enterprises.
- Reflect on and identify the contribution of individual disciplines and the disciplinary perspectives of other team members in addressing complex, transdisciplinary problems within an industrial context.
- Reflect on individual roles within an interdisciplinary process and workplace and determine their ability to influence organisational performance outcomes
Applicants are normally expected to hold a primary honours degree in a cognate (related) discipline, (minimum H2.2), or equivalent and have at least 5 years of relevant industrial experience.
The course admission team may interview applicants at their discretion as part of the admission process.
Alternative Entry Route:
Candidates who do not meet the minimum entry criteria may be considered in accordance with the University's policy on the Recognition of Prior Learning. These candidates will be required to submit a portfolio to demonstrate their technical and/or management experience.
Alternative Entry Route applicants will be required to undertake an interview and satisfy the course admission team that they have the experience, motivation and ability to complete and benefit from this course.
What to Include with your Application
Delays in receiving these documents will affect the progress of your application.
- Photo or Scanned original copy of your transcripts for all years of study. (Graduates of UL need only provide us with their Student ID number.)
- Photo or Scanned copy of passport to verify ID and full legal name.
- A copy of your most recent CV.
- Applicants who do not have English as their first language may satisfy English Language requirements:
- 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
• English language competency certificate
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