MSc Data Intelligence with Placement year

at Canterbury Christ Church University

Modules:
 

• Principles of Data Intelligence  Programming 
• Data in Action
• GIS and Spatial Analysis
• AI for Data Intelligence
• Big Data Database Development

You should be a digital and numerical literate graduate with a degree (2:2 or higher) in:
 

• STEM degree subjects or near STEM subjects (examples of near STEM subjects include: Economics, Informatics, Accountancy)
• Non-STEM degree subjects: if your degree is not related to STEM, you will also need an A level in maths.

The cost of studying at Canterbury Christ Church University varies largely depending on the type of university and the degree chosen. More often than not, humanities, arts, and education courses are less expensive than degrees in medical, engineering, or management. Furthermore, students who choose to study at the postgraduate level typically pay higher tuition fees, which again vary depending on the programme chosen.

Most universities provide scholarships or financial aid to students in order to help them offset their tuition costs. Students should be aware that additional course fees and incidental expenses may not be included in tuition. On average, international students can expect to pay £15,500 annually, to study in Canterbury Christ Church University.

Career opportunities include:
 

• Charities are in need of Data Intelligent professionals to help empower social change campaigns to the identification of empathetic target audience for increase revenues streams.
• Commercial organisations value Data Intelligence to identify business opportunities, spot trends, evidence for decisions and when to flip business and rapid transformation operations to ensure continuous sustainable economic growth, for example identification of new business location that has sustainable local demand, raw materials, logistics and potential employees with the right skill sets.
• Government ministries like the Ministry for Health and Social Care are employing Data Scientists to identify improvements in health care and public health functions policy and practice to automate and increase efficiencies of medical diagnostic solutions.
• Environmental agencies employ Data Scientists to identify and predict environmental challenges and priority areas to be addressed.
• Government and businesses valued Data Scientists informing the science of spread, hotspots and behaviour of virus pandemic as Data Science helps to inform the science further, identify risks factors, solutions, policy and practice.
• Data Architecture for online retailers, designing automated data analysis data models to support business strategic data needs of understanding optimising business retail revenue streams and improvements.