Bachelor of Science in Data Science and AI draft

Program Overview

The Bachelor of Science in Data Science and AI equips graduates with cutting-edge skills in data science, artificial intelligence, and computer science. Through a blend of hands-on experience, case studies, and research projects, students develop problem-solving, self-reliance, and innovation abilities. The program offers diverse career opportunities in the technology and business sectors, including data analyst, data scientist, machine learning engineer, and AI product designer.

Program Outline

Degree Overview:

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 honors four-year course, which also allows exit points at higher cert (2 years) or ordinary degree level (3 years). Work placement and/or Erasmus opportunities are offered. Artificial Intelligence (AI) involves creating intelligent systems that can carry out tasks autonomously. 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 begin 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.

Outline:

Year One

• Communications [Mandatory]
• Introduction to Computational Thinking [Mandatory]
• IT Fundamentals [Mandatory]
• Programming [Mandatory]
• Sustainable Data Science and Artificial Intelligence [Mandatory]
• Web Development 1 [Mandatory]

Year Two

• Mathematics 1 [Mandatory]
• Programming [Mandatory]
• Data Exploration [Mandatory]
• Sustainable Data Science and Artificial Intelligence [Mandatory]
• Computer Systems [Mandatory]
• Creative Coding [Mandatory]

Year Three

• 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]

Year Four

• Algorithms & Data Structures [Mandatory]
• Analytics for Decision Making [Mandatory]
• Data-centric programming [Mandatory]
• Data Visualisation [Mandatory]
• Applied Software Engineering [Mandatory]
• Statistics [Mandatory]

Semester 1

• Knowledge-driven Artificial Intelligence [Mandatory]
• Databases 2 [Mandatory]
• Digital ethics and Legal Issues [Mandatory]
• Machine Learning [Mandatory]

Semester 2

• Business & Enterprise [Elective]
• Cyrptography & Cyber Security [Elective]
• Games Logic & Design [Elective]
• Global Classroom [Elective]
• Individual Project [Elective]
• Introduction to DevOps [Elective]
• Mobile Robotics [Elective]
• Programming for Smart Objects [Elective]
• Software Testing [Elective]
• Study Abroad 5 [Elective]
• Study Abroad 6 [Elective]
• Study Abroad 7 [Elective]
• Study Abroad 8 [Elective]
• Team Project [Elective]
• Universal Design & Assisitive Technology [Elective]
• Work Placement [Elective]

Semester 1

• Real World Artificial Intelligence [Mandatory]
• Deep Learning and Neural Networks [Mandatory]
• Final Year Project Planning [Mandatory]
• Natural Language Technologies [Mandatory]

Semester 2

• Final Year Project Implementation [Mandatory]
• Knowledge Graphs [Elective]
• Advanced Security 2 [Elective]
• Bioinformatics [Elective]
• Enterprise Sys Inf.
and Arch. [Elective]
• Environmental Analytics [Elective]
• Systems Software [Elective]
• Computer Vision [Elective]
• Audio Processing [Elective]
• Reinforcement Learning and Decision Making [Elective]

Careers:

• 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

Other:

• Students can apply to participate in a study abroad option for the second half of third year as part of your experiential learning.
• Students can opt to participate in our highly successful work placement program.
The School of Computer Science maintains close liaisons with various industry partners, including both multi-nationals as well as home-grown companies.