Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: 1-2 Years
The MSc Artificial Intelligence with Data Analytics course is designed for graduates seeking to build on your existing skills to develop specific expertise in the field of artificial intelligence and data analytics.
You will normally have a first degree in related discipline (2.2 minimum) or relevant experience or equivalent qualifications. Acceptable subjects include artificial intelligence, computer forensics, computer science, computing, information technology, artificial intelligence, data science, computer forensics and digital forensics.
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
For fees and funding options, please visit website to find out more
The two year course the Advanced Practice (internship) provides an opportunity to improve employment prospects by providing real-world experience to develop new skills and a deeper understanding of the subject.
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.
You undertake a major, in-depth, individual study in an aspect of your course. Normally computing master’s projects are drawn from commercial, industrial or research-based problem areas. The project involves you in researching and investigating aspects of your area of study and then producing a major deliverable, for example software package or tool, design, web-site and research findings. You also critically evaluate your major deliverable, including obtaining third party evaluation where appropriate.
The major deliverable(s) are presented via a poster display, and also via a product demonstration or a conference-type presentation of the research and findings. The research, project process and evaluation is reported via a paper in the style of a specified academic conference or journal paper. The written report, the major deliverable and your presentation of the product are assessed.
The project management process affords supported opportunities for goal setting, reflection and critical evaluation of achievement.
At Teesside University we believe that an investment in knowledge still pays the best return. By developing your skills, expertise, experience and net...
