Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: 1 year FT, 2 years PT
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.
Plus, you’ll be based in our £4.5 million Data Science, Artificial Intelligence and Modelling (DAIM) building, which houses the largest computational teaching space on campus.
Using these brand new facilities, 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, which can be a project linked to industry, 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 who may be able 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.
As a conversion MSc, this programme has been specifically designed to be accessible to students with a wide variety of non-computational backgrounds.
A minimum 2.1 undergraduate honours degree is required. As the course has a strong numerical component, applicants must have studied a course or module in mathematics (pure or applied), statistics, computing, or data analysis as part of their degree programme.
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.
For fees please see our website.
The University has a large number of further scholarships, worth £10,000 each, to support widening participation students in the full-time study of the MSc Artificial Intelligence and Data Science.
Applications for these bursaries will open to prospective new students who have applied to join the course in September 2023 and will be launched once we have received information from the UK Government.
They are being funded by the Department for Science, Innovation and Technology (DSIT) and Office for Artificial Intelligence (OAI) and have been awarded to the University of Hull by the Office for Students (OfS).
Please visit our website for eligibility details and further information
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.
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
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