Manchester Metropolitan University

Manchester Metropolitan University

Data Analytics

This course is suitable for numerate graduates across many disciplines. Non-computing graduates are eligible. Driven by market demands, this course examines movement and interpretation of data with a focus on the business context, enabling you to obtain actionable business insight and solve business problems using analytics. Working with a variety of complex, structured and unstructured data in the business environment, and using appropriate statistical and computational skills and technologies, you will focus on the movement, analysis and interpretation of data and how derived advanced information can inform business strategy. You will be able to articulate insights confidently when presenting reports and visualisations. Business intelligence plays a key role in the strategic planning process and overall success of an organisation. You will learn how to use commercial statistical software to analyse and interpret real-life business data. Features and benefits of the course: - The School has an extensive range of equipment in our own specialist laboratories which is supported by a dedicated team of technical staff. - Research in the School was rated 'internationally excellent' with some rated 'world-leading' in the 2014 Research Excellence Framework (REF). - Our online virtual learning platform Moodle, provides access to lectures, course materials and assessment information. - The School of Computing, Mathematics and Digital Technology is a member of the Oracle Academy. - We are an academic partner of the Institute of Information Security Professionals (IISP). This partner status recognises our expertise in the field of information and cyber security. - We are also an Academy of the Computer Technology Industry Association (CompTIA) and deliver their partner programme which provides a pathway for students towards a rewarding, high-growth IT career.

Entry requirements

You will normally have at least a second-class UK Honours degree (or international equivalent) in a STEM (Science, Technology, Engineering, Mathematics) or numerate subject area. Exceptionally, a good sub-degree STEM qualification and very substantial work experience in a closely-related area is acceptable.

Qualifications

Qualification Study mode Start month Fee Course duration
MSc Full-time September 2017 - 1 Years
MSc Part-time September 2017 GBP 4,350 per Year 1 (Channel Islands) 3 Years
MSc Part-time September 2017 GBP 4,350 per Year 1 (International) 3 Years
MSc Part-time September 2017 GBP 2,520 per Year 1 (Home/EU) 3 Years
MSc Full-time September 2018 - 1 Years

Campus details

Campus name Town Postcode Region Main campus Campus Partner
Main Site M15 6BH North West

Get in touch

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Key information

Contact: 
Course Enquiries
Telephone number: 
01612476969