MSc Artificial Intelligence and Data Science

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Organisation
University of Hull
Start - End
12 Sep
Study Options
Full Time
Fee
GBP 11000 - 11000
Fee International
GBP 11000 - 11000

Data is one of the 21st century’s most valuable commodities but there is a shortage of qualified AI and data scientists in the UK.

This course is will equip you with the skills and professional insight you need to launch a career in this fast-growing sector. The programme is aimed at STEM (science, technology, engineering and mathematics) and non-STEM graduates, who want to develop their digital skills. It’s also suitable for people who are looking to upskill and improve their career prospects.

Experience in programming is not required – and you may be eligible for a bursary, worth £10,000.

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You’ll cover topics such as, programming, statistics, machine learning, big data, data visualisation, computer vision and the ethical and legal responsibilities of using data. Learning is delivered online and on campus. In the third semester, you’ll do an academic dissertation or an industrial placement, where you’ll apply your knowledge to real-world problems.

You’ll develop key competencies in programming, data visualisation, problem-solving and data interpretation. You’ll be able to apply AI and data science techniques to real-world problems; critically evaluate AI and data science methodologies; plan, design and carry out empirical research; and interpret, present and communicate the outcomes of data science and AI solutions.

The course combines expertise from Departments across the Faculty of Science and Engineering, including Computer Science and Physics and Mathematics. You’ll also have access to our VIPER high-performance computer.

What you'll study

Key areas of study for the programme will include concepts and methodologies related to AI, data science and data analytics.

The programme will begin with an intensive module in programming skills, where you will learn to code from scratch, to ensure everyone is prepared to undertake the data science and AI modules that follow.

· Core programming skills and techniques, including designing and coding applications, and the important principles of code design and development.

· Data science tools and techniques, including the principles of data science, data analysis, visualisation and interpretation, and the use of “big data”.

· Artificial intelligence tools and techniques, including problem-solving, knowledge representation, machine learning, computer vision, human-computer interactions and (mis) information diffusion.

· Ethical computing and data science, exploring the ethical, legal, social and professional frameworks in which data scientists must operate, in business and society.

· The application of AI and data science in research and industry

You will take one AI and one data science module in trimester 1, together with the programming module.

In trimester 2, further AI and data science modules will allow you to develop your skills and knowledge and prepare for your dissertation by exploring case studies and developing a research proposal.

The dissertation project will be based either with one of our industry partners, solving real-world data science or artificial intelligence problems, or in a disciplinary area relevant to your background and/or career goals.

How you’ll learn

Delivery of the core content will take place online. Face-to-face sessions, if possible, will focus on problem-solving, group work and the application of core knowledge, and allow the use of the University’s computer science facilities, including our high-performance computer cluster, Viper.

You will be encouraged to bring your professional and learning experiences to your degree, and to work with students of differing experiences to maximise the benefits of the programme.

There will be online support to help with the transition to postgraduate study, incorporating topics such as returning to study, expectations, the language of postgraduate study, and time management.

Learning, teaching and assessment will be characterised by diverse assessment types and an avoidance of recall-based timed examinations. You will be allocated a tutor to support your academic development.

Future prospects

The integration of our business partners in the design and delivery of the programme will place a key focus on employability for graduates of the programme. Employability, and the evidencing of developing digital skills, will be embedded throughout the programme, with additional support from the Careers, Entrepreneurship and Study Abroad service at the University. The course will prepare you to work as a data scientist in a wide range of industries, or progress to further study in a broad range of disciplines.

Scholarships

The University has 15 bursaries, worth £10,000 each, to support widening participation students undertaking full-time study in 2020/21.

The scholarships will be prioritised for women, black and disabled students and are being funded by the Office for Students (OfS), Department for Digital, Culture, Media and Sport (DCMS), Department for Business, Energy and Industrial Strategy (BEIS) and the Office for Artificial Intelligence (OAI).


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