Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: 1-2 Years
Artificial intelligence (AI) enables a digital computer or computer-controlled robot to learn, reason, discover meaning and perform tasks commonly associated with intelligent beings. AI applications include gaming, medical diagnosis, computer search engines, and voice or handwriting recognition.
Normally a first degree (2.2 minimum), relevant experience or equivalent qualifications. Any first degree subject excluding BSc (Hons) Artificial Intelligence, BSc (Hons) Computer Science, and BSc (Hons) Data Science.
Entry from some first degree disciplines including BSc (Hons) Computing and BSc (Hons) Information Technology depends on course content. You are required to provide a full transcript of studies to enable our admissions team to determine your eligibility.
In addition, international students will require IELTS 6.0 or equivalent.
For general information please see our overview of entry requirements
International applicants can find out what qualifications they need by visiting Your Country
Artificial Intelligence Ethics and Applications
You gain a deep insight into the business applications of artificial intelligence (AI) and data science (DA). You explore a range of AI and DS applications such as chatbots, virtual assistants, medical diagnosis, biometric recognition, personalisation, fraud detection and autonomous machines, and analyse both the risks and opportunities of applying AI and DS techniques in these areas.
Artificial Intelligence Foundations
You gain the foundational knowledge to study a wide range of AI applications and solutions, and are introduced to logic-based knowledge representation, reasoning, problem solving and algorithms, planning and AI applications.
Big Data and Business Intelligence
You develop your ability to design and implement database, big data and analytics applications to meet business needs. A case study is used to follow the system development lifecycle. You develop a plausible application from inception to implementation for a real-world scenario.
You investigate the issues and technologies associated with implementing and supporting large scale databases and the services that are needed to maintain and access a repository of data. Investigations are undertaken in a number of areas including big data, data warehouses, integrating legacy data, data management and approaches that support the modelling and visualisation of data for a range of use views.
At Teesside University we believe that an investment in knowledge still pays the best return. By developing your skills, expertise, experience and net...
Sat 20 Jun 2026