Course Title: Bachelor of Science (Honours) Data Science and Artificial Intelligence
Leaving Certificate Requirements
Minimum Number of |
|
---|---|
Subjects |
Higher |
6 |
2 H5's |
Minimum Grade in |
|
Maths |
English OR Irish |
O3/H7 |
O6/H7 |
QQI/FET Requirements
QQI/FET Award Required |
Additional Requirements |
---|---|
Level 5: 1 OF THE FOLLOWING AWARDS: |
|
|
5 Distinctions which must include:
|
|
5 Distinctions which must include two of:
|
|
5 Distinctions which must include:
|
Level 6 | |
|
120 credits in total, Level 6 |
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).
The Bachelor of Science in Data Science and AI is a state of the art course that aims to provide graduates with leading-edge skills in data science and artificial intelligence (AI) technologies, as well as fundamental skills of computer science. Graduates will be equipped for employment in a wide variety of areas within both the technology sector and the wider area business sector, from start-ups, SMEs to larger corporates. This is an honours four year course, which also allows exit points at Higher Certificate (2 Years) or Ordinary Degree level (3 Years). Work placement and/or Erasmus opportunities are offered.
Data science focuses on the process of extracting, cleaning, and analyzing data to gain insights. Artificial Intelligence (AI) involves creating intelligent systems that can carry out tasks autonomously. AI is heavily data-driven, therefore that data science and artificial intelligence are heavily intertwined domains.
Fundamental computer science skills (including programming, software engineering, algorithm design, web development and IT hardware) are embedded into the first two years of the course. The data science and AI context and specialism begins in Year 1, deepening and extending through the following three years.
An option to undertake work experience during the course, combined with the use of case studies and guest lectures in domain focused modules, will aid students to develop their work readiness. The completion of the capstone research project modules will produce graduates that will be self-reliant, problem-solving, innovative and self-motivating.
Study Abroad
Students can apply to participate in a study abroad option for the second half of third year as part of your experiential learning.
Work Placement
Students can opt to participate in our highly successful work placement programme. The School of Computer Science maintains close liaisons with various industry partners, including both multi-nationals as well as home-grown companies. Alternatively, you can work with community organisations on our innovative service-learning module, whereby you take responsibility for interesting ICT projects in the community.
- Data Analyst
- Data Scientist
- AI/Data Science Researcher
- Machine Learning Engineer
- Data Architect
- Business Analyst
- Database Administrator
- Software Developer/Software Engineer
- User Interface Designer
- AI-Based Product Design
- Roles in Tech Innovation Start-ups
Semester 1
- Communications [Mandatory]
- IT Fundamentals [Mandatory]
- Programming [Mandatory]
- Web Development 1 [Mandatory]
- Sustainable Data Science and Artificial Intelligence [Mandatory]
- Introduction to Computational Thinking [Mandatory]
Semester 2
Semester 1
- Databases 1 [Mandatory]
- Web Development 2 [Mandatory]
- Analytics for Decision Making [Mandatory]
- Human Centred Design [Mandatory]
- Data-centric programming [Mandatory]
- Mathematics for Data Science [Mandatory]
Semester 2
Semester 1
- Knowledge-driven Artificial Intelligence [Mandatory]
- Databases 2 [Mandatory]
- Digital ethics and Legal Issues [Mandatory]
- Machine Learning [Mandatory]
- Programming for Big Data [Mandatory]
Semester 2
- Business & Enterprise [Elective]
- Games Logic & Design [Elective]
- Individual Project [Elective]
- Mobile Robotics [Elective]
- Team Project [Elective]
- Universal Design & Assisitive Technology [Elective]
- Work Placement [Elective]
- Programming for Smart Objects [Elective]
- Introduction to DevOps [Elective]
- Cyrptography & Cyber Security [Elective]
- Software Testing [Elective]
- Global Classroom [Elective]
- Study Abroad 5 [Elective]
- Study Abroad 6 [Elective]
- Study Abroad 7 [Elective]
- Study Abroad 8 [Elective]
Upon graduation you will be qualified to pursue postgraduate studies to MSc, MPhil and PhD levels at TU Dublin or elsewhere.