Master of Science in Software Design with Artificial Intelligence

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Data modelling, data presentation and data storage solutions are persistent throughout each module of the course..

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Master of Science in Software Design with Artificial Intelligence

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Aim of Programme

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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.

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.
The Master of Science in Software Design with Artificial Intelligence is a high level programme with 90 ECTS. It is intended for IT professionals who wish to gain specific skills in Software Design with Artificial Intelliegence.

This programme has 12 contact hours per week and at least 12 hours of self-directed learning are necessary per week and it incorporates a work placement or industry focused dissertation so that students can directly apply theory to practice.

 

Online / Blended

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Programme Content

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Programme Content

  • • 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

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Minimum Entry Requirements

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Minimum Entry Requirements

Honours (Grade 2.2) degree in an appropriate engineering, computing or cognate discipline, or an equivalent qualification.

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FAQ

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Frequently Asked Questions

Do you have a question?

You may find the information you need in our FAQ section.

If not, don’t hesitate to get in touch, we’re always happy to help.

Call 090 648 3050

Click HERE to send us a message.

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Induction

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Induction

Induction for the 2022/2023 academic year takes place (online via Zoom) on Saturday 10th September from 930am to 1pm. In advance, you will be required to review Pre Induction reading material, available to you on www.aitflexiblelearning.ie.

During Induction, you will be given the opportunity to:

  • Meet your programme lecturers, programme co-ordinator and students
  • Overview of the programme handbook, programme’s modules, assessments and delivery timetable
  • Introduction to TUS operating systems including MS Office, Zoom, Moodle etc
  • Outline of the learning supports available to you during the programme

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Details

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Details

Duration

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1 Year 

Two evening per week online, plus some Saturdays.

Commencing             

Online – Week commencing 12th September

Programme Fee

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

For full details of eligibility criteria and to apply go to www.springboardcourses.ie

Enquiries

Dr Enda Fallon – [email protected]

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