Course Title: Bachelor of Science (Honours) Data Science and Artificial Intelligence
Leaving Certificate Requirements
|
Minimum Number of |
|
|---|---|
|
Subjects |
Higher |
|
6 |
2H5's |
|
Minimum Grade in |
|
|
Maths |
Eng OR Irish |
|
O3/H7 |
O6/H7 |
QQI/FET Requirements
|
Level 5 One of the following: |
|
| CITXX (Information Technology) | 5 Distinctions which must include: • C20013 Computer Systems • C20012 Computer programming |
| 5M0536 / Computer Systems and Networks 5M17814 |
5 Distinctions which must include two of: • 5N0548 or 5N17783 Computer H/W • 5N0556 Maths for STEM • 5N0554 Computational methods • 5N18396 Maths for IT • LCE Maths at O4/H7 Plus at least three Distinctions from the following: • 5N2927/5N17802 Programming and Design principles • 5N2434/5N17805 Visualisation • 5N2929/5N17788 Networking • 5N0544/5N17784 Distributed Systems • 5N0583/5N17786 ICT security • 5N0580/5N17787 Mobile technologies • 5N2928/5N17789 Operating Systems |
| 5M0529/Software Development 5M17817 |
5 Distinctions which must include: • 5N0541 or 5N17785 Fundamentals of OO programming And one from: • 5N0556 Maths for STEM • 5N0554 Computational methods • 5N18396 Maths for IT • LCE Maths at O4/H7 Plus at least three Distinctions from the following: • 5N0783 Database methods • 5N1651 Games Design • 5N1910 Web authoring • 5N0580/5N17787 - Mobile tech • 5N2928/5N17789 - op systems • 5N2927/5N17802 - programming & Design • 5N2769/5N17804 S/W testing • 5N2772/5N17803 S/W architecture |
| Level 6 | |
|
6M0691, certificate awarded |
120 credits in total, Level 6 |
Course Description
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 cert (2 years) or ordinary degree level (3 years). Work placement and/or Erasmus opportunties 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
- Programming
- Communications
- IT fundamentals
- Maths 1
- Web Development 1
- Sustainable Data Science and AI
- Data Exploration
- Computer Systems
- Introduction to Computational Thinking
- Creative Coding
- Programming for Data Science
- Databases
- Web Development 2
- Human Centred Design
- Maths for Data Science
- Analytics for Decision Making
- Software Engineering
- Algorithms and Data Structures
- Data Visualisation
- Statistics
Semester 1 (Core):
- Programming for Big Data
- CMPU3010 Databases 2
- Digital ethics and Legal Issues
- Machine Learning
- Knowledge driven AI
Semester 2 provides pathways for elective modules , internship or study abroad.
Core Modules:
- Deep learning
- Natural Language technologies
- Application domains
- Final Year Project
Plus selection of major and minor options:
- Computer Vision
- Knowledge Graphs
- Audio processing
- Reinforcement Learning
- Advanced Security 2
- Environmental Analytics
- Enterprise App Dev
- Enterprise Sys and Arch
- Systems Software
- Geographical Information Systems
- BioInformatics 1
Upon graduation you will be qualified to pursue postgraduate studies to MSc, MPhil and PhD levels at TU Dublin or elsewhere.