Students working at computers

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

Course Title: Bachelor of Science (Honours) in Computing with Machine Learning & Artificial Intelligence

TU Code

TU862

CAO Point Range 2024

244−455

Level

Level 8

Award

Bachelor of Science (Honours)

ECTS Credits

240

Duration

4 years

Number of Places

30

Location

Tallaght

Virtual Tour

Tallaght

Fees

EU Fees

Non-EU Fees

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.

Leaving Certificate Requirements

Minimum Number of

Subjects

Higher

6

2 H5's

Minimum Grade in

Maths

English OR Irish

F2/O6/H7

O6/H7

Other Grade Requirements 

*Grade O5 in Maths is recommended but not a requirement.
QQI/FET Requirements

QQI/FET Award Required

Additional Requirements

Any full Level 5 or 6 award
Three distinctions plus a pass in:
  • B20029
  • C20139
  • C20174
  • C20175
  • N33029
  • 4N2138
  • 5N0554
  • 5N0556
  • 5N16654
  • 5N1833
  • 5N18396
  • 5N2066
  • 6N3395
OR
  • F2/O6/H7 in LC Maths

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).

Click on the link below to view an indicative timetable for this course. Timetables are subject to change and up to date timetables will be provided to students on commencement.

View Sample Timetable

 

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:

Cloud Support Associate Network Admin roles
Junior Software Developer Technical Infrastructure Support Intern
DevOps Engineer Data Admin and Analysis roles
Data Engineer IT Security Analyst intern
Software Tester IT Service Delivery Support
Enterprise Product Support Intern QA Engineer
IT Service Delivery Support Intern Service Delivery Support
UI Designer Application Support roles
Professional Services Analyst Tech Support roles
IT Managed Services Intern Service Desk roles (1st and 2nd level)
Application Developer Systems Engineer Intern
Mobile App Developer IT Analyst Intern
Centre of Expertise (CoE) Intern  

Typical Placement Companies 

FBD Insurance Equinix Total Produce
Librety Information Technology Fidelity Investments Enterprise Solutions
Bus Eireann Workday Ericsson
Mastercard Yahoo! Future finance
Nostra Alexion Sage 
SAP AWS  Ardagh Group
Open Jaw GM HEAnet
Dept of Employment Affairs & Social Protection Ocuco Enclave 
Enterprise Ireland Stryker eDot
DHL Arkphire Bishop & co. 
Enclave Hubspot Keywords Studios
Our Health Service The State Laboratory Version 1
ESW Lidl Sisk Group
Guidewire Lets Get Checked Electric Ireland
Fathom AIB Datapac
Colgate-Palmolive Dell KN Group
Open Jaw Dunnes Stores eirgrid Group 
Sonalake Dept. of Agriculture, Food and the Marine GRH
Tallaght University Hospital Takeda Hubspot
RTE Advance Systems  Firemind
Trilogy Technologies Medray Deloitte
Travel Tech  IBM  Veriphone
Book golf 365  Accutrace Media Monks
Softworks HSA BWG Food
HSE Sysney Eir
South Dublin County Council Exigent Networks Smurfit Kappa
Graphic Mint Cianwilliam Group Paradyn
Verizon connect Landmark Oath
St James Hospital UCD  The Bar of Ireland
MWC Ammeon Bank of America / Merrill Lynch
Beacon Hospital Green IT Paddy Power 
Welocalize BXP Kyckr
Accenture Evros Zutec

Semester 1

  • Advanced Database Technologies
  • Discrete Mathematics 2
  • Network Fundamentals
  • Software Quality Assurance and Testing
  • Client-Side Web Development
  • Database Technologies

Electives

  • IT Scripting & Automation
  • Software Development 3

Semester 2

  • Data Administration and Analysis
  • Management Science
  • Routing & Switching Essentials
  • Information Security
  • Project

Electives

  • IT Service Management
  • Software Development 4

Semester 1

  • Cloud Services & Distributed Computing
  • Data Analysis
  • Big Data Technologies
  • Operating Systems
  • Server-Side Web Development

Electives

  • Data Structures and Algorithms
  • Innovation & Entrepreneurship
  • Advanced Routing & Switching

Semester 2

  • Work Placement

Semester 1

  • Applied Machine Learning
  • Social Media Analysis
  • Interactive Design & Visualisation
  • Information Management
  • Project - Data Analytics

Electives

  • DevOps - Continuous Integration and Deployment
  • Security for the cloud and IoT

Semester 2

  • Applied Artificial Intelligence and Deep Learning
  • Data Analysis and Programming
  • E-Learning Elective
  • IT Governance and Quality
  • Project - Data Analytics Specialisation

Electives

  • Enterprise Performance Architecture
  • User Experience Design
  • Operations Research

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.

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School of Enterprise Computing and Digital Transformation