Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: 1 year
Explore the techniques and applications of artificial intelligence (AI) and develop your practical skills through exposure to real-world problems and datasets. Learn the ethical and social impacts of AI technologies while developing your critical judgement, intellectual integrity and practical skills on client-facing projects.
This unique course provides specialist knowledge in areas such as automated reasoning, knowledge representation and machine learning. You also have the opportunity to customise your learning experience to suit your interests and career aspirations by choosing from a range of optional modules, professional work placements and projects.
High-performing graduates from this programme will be well-prepared for commencing a research career in AI.
In order to be considered for an offer for this programme you will need to meet all of the entry requirements. Your application will not be progressed if the information and evidence listed is not provided.
With your online application you will need to provide:
A copy of your degree certificate and transcripts which show you have achieved a 2:1 honours degree in a relevant subject area such as Computer Science or Computing, or an equivalent international degree. If your degree certificate or result is pending, please upload any interim transcripts or provisional certificates.
Evidence of modules which demonstrate proficiency in programming (throughout the degree), algorithms and data structures, computer theory, mathematical topics, and a relevant project. This may also be achieved by professional experience evidenced by a signed and dated employer reference.
A copy of your IELTS certificate with an overall score of 6.5 with 6.0 in all subskills, or evidence of an accepted equivalent. Please include the date of your expected test if this qualification is pending. If you have alternative acceptable evidence, such as an undergraduate degree studied in the UK, please supply this in place of an IELTS.
If you do not have a degree in a relevant area or have a 2:2 honours degree you may still apply but should provide additional evidence to support your application such as a CV and references. In these cases you may be invited to participate in an interview.
For fees and funding options, please visit website to find out more
Graduates from this programme will be ideally placed to develop careers as data scientists, artificial intelligence engineers, and data engineers.
Core Modules:
Knowledge Representation
Automated Reasoning
Principles of Machine Learning
Applications of Machine Learning: Natural Language Processing/Computer Vision
Dissertation
Optional Modules:
Penetration Testing and Malware Analysis
Machine Learning for NLP
Introduction to Computational Robotics
Distributed and Cloud Computing
Human Centric Computing
Computer and Network Forensics
Cybersecurity Operations
Cloud and Database Systems Security
Advanced Topics in NLP
Programming Paradigms
Business Continuity and Transformation
Developing Secure Systems and Applications
Operating Systems Security
Computational Linguistics
Foundations of Operational Research and Analytics
Foundations of Statistics and Data Science
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