Full time
1 year
16-SEP-24
MSc - Master of Science
Data Science Artificial Intelligence (Ai)
Taught
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.
For this course (per year)
£13,000
For this course (per year)
£18,000
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.
The University of Hull is one of the most innovative and influential institutions located in the north of England. Gaining university status in 1954, it is categorised as a ‘younger civic university’ and has nearly 70 years of educational heritage to draw upon, guiding its 15,000 students through an impressive curriculum of higher education designed to address the demands of industry and the needs of future generations. The University of Hull...more
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