Overview

The programme introduces you to Python AI libraries and coding techniques, as a basis for learning how to communicate ideas and data visualisations to non-specialist audiences. It covers advanced technologies such as Machine Learning/Deep Learning and prepares you for the ethical, regulatory and social aspects of the fair use of AI.

The programme also focuses on applied AI with case studies on the use of AI in the industry including health, legal, sustainability, climate change, automobile and local government. 

Your time with us will help you gain a wide range of competencies needed to progress in the field of AI with confidence and clarity. As one of our students, you’ll learn how to: 

  • Identify, apply, and implement a range of AI tools, algorithms, and techniques for creative problem-solving 
  • Clearly convey ideas and the application of AI to non-specialist audiences, as well as how to present the outcomes of AI solutions 
  • Critically reflect upon and address the legal, social, ethical, cultural, and professional implications of using AI 
  • Use knowledge of applied Machine Learning/ Deep Learning techniques, business analytics, and associated business strategies based on AI to design solutions for a range of applied fields 
  • Utilise various research methods to study AI, and further your understanding of business models and management to contextualise your output 
  • Critically reflect on the significance and impact of AI within the workplace 
  • Explore the horizon of AI and its real-world applications in fields such as healthcare, marketing, and the government/public sector 
  • Artificial Intelligence Foundations (30 credits)
  • Machine Learning & Deep Learning (30 credits)
  • Ethical, Regulatory and Social Aspects for Fair AI (30 credits)
  • Applied Artificial Intelligence (30 credits)
  • Research / Consultancy Project (60 credits)

Entry Requirements

  • Either an Honours (or higher) degree at 2:2 or above or international equivalent in a STEM discipline (such as computer science, physics, mathematics) or closely related subjects. Applicants must have studied, as part of their first degree, a module in mathematics (pure or applied), statistics, computing, or data analysis or equivalent professional experience (including training in coding).
  • Or, applicants without relevant degree qualifications will be considered based on relevant professional experience or training, which must include competence in computer programming. This can be evidenced, for example, through a recognised course or module at level 3 or above, an industrial certificate, or a summary of programming projects undertaken.
  • An IELTS 6.0 score (with a minimum of 5.5 in each skill) if your first language isn't English (or other English language proficiency qualifications accepted by the University of Hull)

Fee

£8,950

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  • University University of Hull
  • Category School of Computing
  • Intake January, May and September
  • Duration two years (part-time)
  • Level Postgraduate
  • Fees £8,950
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