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. You will learn Python coding, so 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. We have teamed up with a range of employers to offer project 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, 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.
Modules
All modules are subject to availability and this list may change at any time. Programming for AI and Data Science Fundamentals of Data Science Understanding Artificial Intelligence Big Data and Data Mining Applied Artificial Intelligence Research and Application in Artificial Intelligence and Data Science Artificial Intelligence and Data Science Research Project
Assessment method
Unlike other universities, you’ll cover the full breadth of AI – not just one specialism. From programming and machine learning, to big data and ethical responsibilities. Trimester 1 Take one AI and one data science module, together with the programming module. Trimester 2 Advance your AI and data science skills with further modules. And prepare for your dissertation by exploring case studies and working on a research proposal. Trimester 3 (Dissertation) An opportunity to choose your own research project in a disciplinary area relevant to your background or career goals. Alternatively, there may also be an opportunity to undertake a project working with one of our industry partners, solving real-world problems. Our partners include Humber Outreach Partnership, Naimuri, Spencer Group, J.R Rix & Sons, KCOM, The Deep, Lampada Digital Solutions, Optalysys and C4DI.
How to apply
International applicants
If you require a 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. If your English currently does not reach the University's required standard for this programme, you may be interested in one of our English language courses. Visit your country page to find out more about our entry requirements. All applicants to supply a personal statement to display evidence of Mathematics, statistics and/or programming competencies, and their practical applications either in a professional or academic setting. This is required to evaluate the applicants suitability for the course.
Entry requirements
A minimum 2.1 undergraduate honours degree Previously studied a course or module in mathematics (pure or applied), statistics, computing, or data analysis Personal statement outlining the above, plus your eligibility for our £10,000 bursary if you’re applying for this A personal statement outlining these competencies is required from all applicants 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. In order to ensure our students have a rich learning and student experience, most of our programmes have a mix of domestic and international students. We reserve the right to close applications early to either group, if application volumes suggest that this blend cannot be achieved. In addition, existing undergraduate students at the University of Hull have a guaranteed ‘Fast Track’ route to any postgraduate programme, subject to meeting the entry criteria.
English language requirements
If you require a 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. If your English currently does not reach the University's required standard for this programme, you may be interested in one of our English language courses.
https://www.hull.ac.uk/choose-hull/study-at-hull/admissions/english-language-requirements
https://www.hull.ac.uk/choose-hull/study-at-hull/admissions/english-language-requirements
Fees and funding
Tuition fees
| Republic of Ireland | £13000 | Whole course |
| England | £13000 | Whole course |
| Northern Ireland | £13000 | Whole course |
| Scotland | £13000 | Whole course |
| Wales | £13000 | Whole course |
| Channel Islands | £13000 | Whole course |
| EU | £14000 | Whole course |
| International | £14000 | Whole course |
Additional fee information
All fees are subject to change.
Provider information
University of Hull
Admissions Office
Cottingham Road
Hull
HU6 7RX