Humanities, Liberal Arts
North America, United States of America (USA)
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About program
Artificial intelligence technologies are being increasingly adopted across a broad range of industries, creating demand for talented graduates who can help realise the transformative potential of AI. With a fundamental interest in AI, machine vision and computer sciences, you will have the desire to apply this knowledge to solve real world engineering problems.
Taught through a unique combination of theoretical and practical-based sessions you will cover subjects in logic and reasoning, data analytics, deep learning, agent architectures, alongside the broader systems engineering and ethical considerations required for implementation in real-world systems.
Program details​
Degree type
Master
Specialization
Artificial Intelligence& Robotics& Machine learning, Engineering & Technology
Study type
Full time, Part time
Delivery mode
On-Campus
Program duration
1 years | Full time
3 years | Part time
Tuition fees
 /year (Full time)
 /year (Part time)
Intakes
October
Study language
English
Program structure
Modules
Keeping our courses up-to-date and current requires constant innovation and change. The modules we offer reflect the needs of business and industry and the research interests of our staff and, as a result, may change or be withdrawn due to research developments, legislation changes or for a variety of other reasons. Changes may also be designed to improve the student learning experience or to respond to feedback from students, external examiners, accreditation bodies and industrial advisory panels.
To give you a taster, we have listed the compulsory and elective (where applicable) modules which are currently affiliated with this course. All modules are indicative only, and may be subject to change for your year of entry.
Compulsory modules
All the modules in the following list need to be taken as part of this course.
– Statistical Learning Methods
– Systems Engineering
– Intelligent Cyber Physical Systems
– Search and Optimisation
– Logic and Automated Reasoning
– Data Analytics and Visualisation
– Deep Learning
– Ethical, Regulatory and Social Aspects of AI
English requirements
Only one is required
TOEFL-IBT
92/120
IELTS
6.5/9
PTE (Pearson)
65/90
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Tuition fees
 /year (Full time)
 /year (Part time)
Program duration
1 years | Full time
3 years | Part time
Delivery mode
On-Campus
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