Applicants for this programme will normally be expected to possess a minimum of a second class honours degree in Computer science, Mathematics or other relevant discipline.
Each application will be considered on its merits and the final decision will be made by the course director.
Months of entry
This Master’s course aims to respond to the demand for data scientists with the skills to develop innovative computational intelligence applications, capable of analysing large amounts of complex data to inform businesses decisions and market strategies.
Multidisciplinary content covers machine learning, neural networks, big data analysis, information retrieval, fuzzy systems and evolutionary computation. You will have opportunities to undertake practical projects, applying your learning to real-life problems in business, finance, security, industry control, engineering, natural language processing, information retrieval and bioinformatics.
Coventry University offers chances to learn alongside active researchers in areas such as pervasive computing, distributed computing and application, as well as innovative applications for interactive virtual worlds.
Work placement option
This master's programme provides you with the additional option to apply for a 'work placement' opportunity during your first semester with us. The 'work placement' is designed to further develop your skills, knowledge and professional experience with the aim of maximising your employability prospects. Please note that the optional placement modules incur an additional tuition fee of £4,000. Find out more about the work placement pathway.
Information for international students
This course requires IELTS of 6.5 overall, with no component lower than 5.5. Alternatively, students may be admitted with IELTS 6.0 subject to successfully completing a compulsory five week Pre-sessional English course.
Fees and funding
Qualification, course duration and attendance options
- full time12 months
- Campus-based learningis available for this qualification
Course contact details
- Faculty of Engineering, Environment and Computing
- +44 (0) 24 7765 8888