MSc in Artificial Intelligence

Build a career that’s future-proofed. Advance your knowledge of artificial intelligence and master its application to businesses across different fields and sectors.

via University of Hull

Program Fee: £8.250

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MSc in Artificial Intelligence

Course 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

Course details

Mode:	100% online (with optional events)
Length:	two years (part-time)
Fees:	£8.250
Start dates:	January, May and September
Next welcome week:	20 May 2024
Next start date:	27 May 2024
Application deadline:	May 2024 (date TBC)

How you're assessed

All assessment is based on coursework and submitted online.

Your performance will be evaluated through a range of methods, including:

Ongoing tutor and peer feedback
Practical work, such as programming activities and code reviews
Written work, such as essays and individual reports

These will be opportunities for you to identify appropriate AI approaches to real-world problems, run AI analytics, and explore the use and communication of the outcomes of AI applications in real-world contexts.

You’ll also be encouraged to regularly reflect on your own performance, to further your ability to critically evaluate and direct your development.

What are the 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)

Course modules

Artificial Intelligence Foundations (30 credits)

An introduction to the fundamental concepts in Artificial Intelligence, and their real-time applications. Build fundamental skills in AI-relevant programming concepts along with a critical awareness of important principles in software design and development. You’ll learn how to create applications in Python.

Machine Learning & Deep Learning (30 credits)

Today, leading global organisations use Machine Learning (ML) and deep neural network systems in a variety of products and applications. This module can help you to delve deeper into the three key areas of AI: problem-solving, knowledge representation and ML and their industry-level applications.

Ethical, Regulatory and Social Aspects for Fair AI (30 credits)

Learn how to develop a research proposal to address real-world questions and challenges. Further your knowledge of the ethical, legal, social, and professional frameworks you’ll need to both uphold and operate within.

Applied Artificial Intelligence (30 credits)

Gain an advanced understanding of the application of AI – particularly within the context of business. You’ll explore the use of different technologies for business management, business model thinking and innovation, business process design, and adapting to change. Discover more about the link between AI and communication, including (mis) information diffusion and human-computer interactions.

Research / Consultancy Project (60 credits)

Challenge yourself with applying the expertise you have developed during your studies to take on a dissertation, research project, or consultancy project. Your final project can tackle any issue in an area of the field that you’d like to specialise in – or even an actual need in your current workplace.

For example, you could choose to create an AI solution for your company that addresses a unique challenge it faces. You’ll take on the project under the supervision of a member of our academic team and also have the freedom to use your solution to make new strides in your place of work.

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MSc in Artificial Intelligence

Course Overview

Course details

How you're assessed

What are the entry requirements?

Course modules

Personal Information

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