BSc (Hons) AI and Data Science

During this course, you will learn how to manage, explore, analyse, understand and visualise image, text, or numerical data and apply these skills to challenges in areas such as autonomous vehicles, financial decision making, health diagnosis, or robotics. 

As well as technical skills such as software development and machine learning, you will also develop the creative thinking skills required for a career developing novel solutions to the key societal and environmental challenges affecting the world today.

You'll benefit from a course  which is directly informed through both academic research and industrial interaction and feedback. Regular events are also organised with  previous students and industrial experts to broaden your awareness of career opportunities and develop other skills such as entrepreneurship and teamwork.

If you are interested in a career developing societally beneficial data science and artificial intelligence solutions to real-world problems like climate change, financial services, or sustainable development, the BSc (Hons) AI and Data Science course will equip you with the knowledge and skills required.

The ability to draw insight and make decisions from data is critical to healthcare providers, government organisations, social media companies, the financial and education sectors, and the entertainment industry.

Graduate opportunities
The course's curriculum will enable you to pursue careers in a variety of AI and data science roles including:

• Data Scientist
• Machine Learning Engineer
• Machine Learning Scientist
• Applications Architect
• Data Architect
• Infrastructure Architect
• Data Engineer
• Data Analyst
• Software Developer
• Cloud Engineer

Year 1

• Fundamentals of Computer Systems
• Fundamentals of Software Engineering
• Programming 0
• Fundamentals of Networking and Cloud Computing
• Maths for Computing
• Database Development
• Practical Computing

Year 2

• Programming 1
• Object Oriented Analysis and Design
• Human Computer Interaction
• Programming 2
• Web Application Development 1
• Software Processes and Practice

Year 3

• Introduction to Data Science
• DevOps
• Group Project
• Data Visualisation
• Research Skills and Professional Issues
• Programming 3

Year 4

• Advanced Data Science
• Big Data and IoT
• Cloud Platform Development
• Machine Learning
• Honours Project