5Oct
PostgraduateCourse summary
Want to change direction? Switch careers? Upskill? This fast-track Masters is for you. Taught in our £4.5 million Centre of Excellence for Data Science, Artificial Intelligence and Modelling (DAIM), our MSc offers a fast-track to career success in this dynamic field. As a conversion course, this MSc is suitable for students with a range of backgrounds in STEM and non-STEM subjects. With intensive teaching – your in-person lectures and workshops will normally be on one day a week 9am to 6pm – so you can balance your studies alongside other commitments, too. Don’t have programming experience? That’s okay. You’ll learn Python coding at the start of the course to make sure you’re up to speed. Unlike other universities, you’ll study the full breadth of AI – not just one specialism. You’ll cover programming, statistics, machine learning, big data, data visualisation, computer vision and the ethical and legal responsibilities of using data. You can design your own research project to suit your background and career interests. Some students may be able to with work on a research project with one of our industry partners such as Naimuri, the NHS, KCOM or Lampada Digital Solutions. You’ll develop key skills including programming, problem-solving, and data visualisation and interpretation. And graduate at the forefront of data science.
Modules
and an avoidance of recall-based timed examinations. You will be allocated a tutor to support your academic development. 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 AI Big Data and Data Mining Applied Artificial Intelligence Research and Application in AI and Data Science Artificial Intelligence and Data Science Research Project
Assessment method
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. The University is working with a range of regional partners, including Humber Outreach Partnership, Spencer Group, J.R Rix & Sons, KCOM, The Deep, Lampada Digital Solutions, Optalysys and C4DI to offer real-world business project opportunities.
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. 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 2.2 undergraduate honours degree is required, or equivalent industrial experience. As the course has a strong numerical component, applicants must have studied as part of their degree programme a course or module in mathematics (pure or applied), statistics, computing, or data analysis. Equivalent professional experience to this will be considered. 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.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Subject to confirmation
Provider information
University of Hull
Admissions Office
Cottingham Road
Hull
HU6 7RX