Computing with Machine Learning & Artificial IntelligenceRíomhaireacht le Meaisínfhoghlaim & Intleacht Shaorga

Leaving Certificate Requirements

QQI/FET Requirements

In addition to the QQI minimum entry requirements, QQI quotas and QQI points apply. The max QQI points awarded is 390. Further details at www.tudublin.ie/qqi

Mature Applicants

Applications from mature students (23+) are welcome. Further details at www.tudublin.ie/mature

English Language Requirements

If English is not your first language you will need to provide evidence of your English language proficiency as detailed on our website. Applicants for this course should have a minimum IELTS (Academic Version) English Proficiency of 6.0 overall (or equivalent).

Machine Learning & Artificial Intelligence are cornerstones of the next wave in ICT. IDA Ireland is pursuing an AI Island strategy set to attract the brightest and best AI players to work in Ireland.

There is a skills gap in Ireland and internationally for Data Scientists with Computing and Business Intelligence skills. This four-year degree course, designed in consultation with major IT Companies such as Amazon AWS, Microsoft, SAP & IBM develops a unique mix of Computing, Business Intelligence and Data Science skills to address this gap. New computing power allows use to gain insight from large scale datasets which can be mined for information using Machine Learning and Artificial Intelligence Techniques.

If you are curious about the world, like analysing information and discovering new trends then this may be the course for you. Especially, if you have a rational approach to solving problems, like basing opinions on information, understanding the limits of information and drawing real conclusions from data. In the modern world where almost everything can be a source of data and data storage is cheap there is a shortage of graduates with the skills and modern toolsets to extract, combine and transform this data into useful information. It’s not just about statistical knowledge it is also about tying together diverse sources of data as well visualising and presenting this data to communicate clearly.

All our computing courses use a common Year 1 where you develop essential skills and get to understand your particular strengths. The advantage of this is that you may choose your specialization again at the end of Year 1, stick with your original choice or move to a specialization in Software Development/IT Management/Cloud Computing. In this course you will use and learn: Machine Learning, AI & Deep Learning, Statistics & Data Analysis, Big Data Analysis & Programming, Software Development, Web Programming & Scripting Business Intelligence, Advanced Database Structure and Knowledge, Social Media Analysis & Visualisation, Data Mining and Intelligent Agents for Knowledge Discovery.

Study Abroad Opportunities

Students have the option of spending semester 6 abroad in one of our partner colleges/companies in Germany, Austria, France, Belgium, Spain and Mexico.

Work Placement

A six-month long internship in Year 3 is part of the course and is a real advantage giving you industry experience and contacts.  With around one hundred students placed annually, the list of placement companies is extensive and includes major companies such as Amazon AWS, SAP, fidelity & Bank of America as well as Tallaght University Hospital, Dept. of Agriculture, Evros and many others.

Graduate Job Titles:

• Data Scientist
• Intelligent Agent Developer
• Machine Learning Engineer
• Data Analyst
• Social Media Analyst
• Developer
• AI Consultant
• Support Engineer

Graduate Employers:

• SAP
• Version1
• Bank of America Merrill Lynch
• IBM
• Microsoft
• Accenture
• Bearing Point
• Amazon AWS

Students on this course will participate in a 6-8 month work placement in the third year of the course. The process is summarised as follows:

In September, the company contacts the placement coordinator with a job description. In the subsequent weeks, CVs of student candidates are sent to the company and from this, suitable candidates are selected for interview. A job offer will be made to the successful candidate through the placement coordinator. In December, the company liaises with student to finalise the contract. Students will commence their placement from mid‐January. The placement coordinator visits the student in May/June. The student returns to college in September.

Time of placement: From mid‐January to end of August (3rd Year Semester 6)
Placement duration: 6‐8 months
Placement roles of interest: Software Development/Software Test/Web Development/Service Desk/Applications Support/Technical Support/Cloud/Infrastructure/Networking/IT Security/Data Analysis
College Contact: Sean.McHugh@TUDublin.ie 

Typical Placement Roles:

Typical Placement Companies 

Advanced Entry applications are accepted to this course. For further information on how to make an Advanced Entry application, please visit our CAO Hub. A full list of courses open for Advanced Entry are listed on the CAO website.

To qualify for Advanced Entry applicants must be currently studying, completing, or have successfully completed, studies at Level 6, 7 or 8 in a Higher Education Institution (HEI) or an equivalent, in a related area. You must demonstrate by providing transcripts of results that you have achieved the learning outcomes for each stage you wish to advance past, for example:

• To enter Year 2 via Advanced Entry, you must demonstrate that you have met the learning outcomes for Year 1.
• For entry to Year 3, you must demonstrate that you have met the learning outcomes for Years 1 and 2.
• For entry to Year 4, you must demonstrate that you have met the learning outcomes for Years 1, 2, and 3.

If English is not your first language you will need to provide evidence of your English language proficiency as detailed on our website.

On graduation, you may continue to postgraduate study at TU Dublin or elsewhere.