Entry requirements

An honours degree 2:2 or above (or international equivalent) in any discipline.

Months of entry

January, March, May, July, September, November

Course content

This course aims to respond to the ongoing demand for data professionals and prepare you to drive innovation and tackle complex challenges across various sectors.

The course includes:

live coding sessions
hands-on experience with modern data management and analysis tools
problem-based learning
research-informed teaching from research staff within the Centre for Computational Science and Mathematical Modelling
free one-on-one tutoring and resources in mathematics and statistics, ensuring a strong foundation in these essential areas.

Why you should study this course

Develop vital data science skills, including database management, ethical considerations, programming in high-level languages, machine learning and tackling big data challenges.
Explore algorithmic bias and promoting data ethics, which are critical components of the curriculum.
Strengthen your abilities in question formulation, argument construction, report writing, presentation skills and creative problem-solving.
Integrate technology-dependent practical skills with future-proof knowledge and understanding of specialist methods and algorithms in learning.
Benefit from our hands-on teaching and learning approach.
Gain practical experience and boost your CV with an additional professional placement. See the modules for more details.

Accreditation and professional recognition

The module The Data Science Professional meets the criteria set by the Chartered Management Institute (CMI) for the CMI Level 7 Certificate in Strategic Management and Leadership Practice. Students who successfully pass this module will be eligible to gain the award as an additional qualification at no additional cost.

Please use the official Coventry University website as your main source of information as our courses are subject to change throughout the year.