Course summary
This course aims to teach you how to perform data collection, transformation, and organisation in order to draw conclusions, make predictions and drive informed and smart business decision making. During this course you will have the chance to:
- Develop quantitative and data mining skills to solve business problems as well as data visualisation skills using appropriate software and programming language.
- Learn to generate value from Big Data, which cannot be analysed using traditional techniques.
- Apply theory to practical situations through case studies and projects from industry.
Assessment method
This course will be assessed using a variety of methods which will vary depending upon the module. Assessment methods include the Postgraduate Business Project, reports, presentations, formal examinations and practical coursework. The Coventry University Group assessment strategy ensures that our courses are fairly assessed and allows us to monitor student progression towards the achieving the intended learning outcomes. Assessments may include exams, individual assignments or group work elements.
Entry requirements
A second class honours (minimum 2:2 or higher) in either; business, finance, economics, management science, logistics, engineering, computing or mathematics. Applicants from other degrees may be considered on a case-by-case basis provided they can show strong quantitative ability. Applications from candidates who can demonstrate considerable experience at an appropriate professional level but who do not have formal academic entry qualifications may also be admitted on an individual basis
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
Provider information
Coventry University
Priory Street
Coventry
CV1 5FB