Software Design with Artificial Intelligence
As computers become smarter Artificial Intelligence (AI) is making strides in simulating human thinking. Creating computer systems that automatically improve with experience has many applications including robotic control, data mining, autonomous navigation, and bioinformatics.
This programme targets learner expertise and skills development within this rapidly developing and increasingly strategically important area. The vast accumulation of data and the inability for humankind to process this data unaided has led to an explosion in AI based solutions tailored to process, analyse, classify, and appraise this data.
When you study this programme you will develop the techniques and skills require to make sense of data, to realise patterns and to gain semantic understanding of the data. Data modelling, data presentation and data storage solutions are persistent throughout each module of the course
Key features of this course
• Excellent employment track record
• Level 9 Masters Programme (90 ECTS)
• 12-week work placement
• Research dissertation option available
• The programme will be online to facilitate learners that are already employed
• The course is developed in partnership with the Midlands Regional Skills manager and relevant companies.
• Learners will have the opportunity to apply their new skills on real world “Company Driven projects”.
• Blended and flexible mode of delivery with a personal and supportive approach to teaching and learning
• The programme addresses to significant level the four key areas specified by government; digital skills, transversal skills, management and leadership skills and the workplace of the future.
This is a Springboard+ Funded Programme.
This programme will be fully funded for eligible unemployed applicants.
Eligible employed applicants will be 90% funded. They will have to pay 10% directly to TUS. The 10% payable is €690.
As computers become smarter Artificial Intelligence (AI) is making strides in simulating human thinking. Creating computer systems that automatically improve with experience has many applications including robotic control, data mining, autonomous navigation, and bioinformatics.
This programme provides a detailed knowledge of machine learning and statistical pattern recognition. Students will learn about both supervised and unsupervised learning as well as learning theory, reinforcement learning and control.When you study this programme you will develop the techniques and skills require to make sense of data, to realise patterns and to gain semantic understanding of the data. Data modelling, data presentation and data storage solutions are persistent throughout each module of the course.
Online
• Programming for Machine Learning
• Data Mining and Machine Learning
• Advanced Machine Learning and Neural Networks
• Data Visualisation and Storage
• Object Oriented Programming 1 & 2
• Agile Design and Testing
• Continuous Build and Delivery
• Industry Project
• Work Placement or Dissertation
Honours (Grade 2.2) degree in an appropriate engineering, computing or cognate discipline, or an equivalent qualification.
Online – Induction for the September 2023 programme takes place (online via Zoom) on Saturday 16th September from 9.30am to 1.00pm. Classes commence week beginning Monday 18th September 2023.
This is a Springboard+ Funded Programme.
This programme will be fully funded for eligible unemployed applicants.
Eligible employed applicants will be 90% funded. They will have to pay 10% directly to TUS. The 10% payable is €690.
One Year
NFQ Level 9
(90 Credits)
For those who wish to further their studies, graduates of this programme will be eligible to pursue research opportunities at TUS Athlone Campus at PhD level.
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Our flexible courses will suit your needs
We understand that every student has unique needs and schedules. That’s why we offer a wide range of flexible courses to suit your individual needs. Whether you’re a working professional looking to upskill or a full-time student balancing coursework and extracurricular activities, our courses are designed to fit into your busy lifestyle. With options for online, in-person, and hybrid learning, you can choose the format that works best for you.
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