University of Hull

Degree level: Postgraduate

Artificial Intelligence and Data Science (Taught)

Course options

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

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Course summary

Data is one of the 21st century’s most valuable commodities. Understanding how to analyse, validate and interpret it to inform decision making are key skills in just about every walk of life. Nationally, there is a widely recognised shortage of qualified Artificial Intelligence (AI) and data scientists to meet the needs of industry. 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. 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 through a series of bespoke taught modules. In the third semester, you will do an academic dissertation or an industrial placement, where you will apply your knowledge to real-world problems, using data science and AI solutions. The University has teamed up with a range of employers to offer internship opportunities to students. At the end of the course, graduates will have developed key competencies in AI and data science, including programming, data visualisation, problem-solving and data interpretation. You will 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 have access to VIPER – one of the most powerful high-performance computers in the Higher Education sector. Our Computer Science research is ranked 5th in the UK for impact.

Course details

Modules

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.

Assessment method

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.


How to apply

International applicants

If you require a Tier 4 student visa to study or if your first language is not English you will be required to provide acceptable evidence of your English language proficiency level. This course requires academic IELTS 6.5 overall, with no less than 6.0 in each skill. See other English language proficiency qualifications accepted by this University.

Entry requirements

As a conversion MSc, this programme has been specifically designed to be accessible to students with a wide variety of non-computational backgrounds. Applicants with a 2.2 Undergraduate degree in any subject that includes a numerical component, or equivalent industrial experience, are invited to apply. A personal statement outlining experience of coding and numeracy skills is required from all students, to evaluate their suitability for the course. A more detailed personal statement outlining their eligibility for the scholarship will be required for students applying for scholarship funding.


Fees and funding

Tuition fees

Republic of Ireland £11000 Whole course
EU £11000 Whole course
England £11000 Whole course
Northern Ireland £11000 Whole course
Scotland £11000 Whole course
Wales £11000 Whole course
Channel Islands £11000 Whole course
International £11000 Whole course

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Artificial Intelligence and Data Science at University of Hull - UCAS