Applied Data Analytics
The aim of this course is to train data and business analytics professionals who can help their employers climb the pyramid of analytical literacy. It will also equip recent graduates with the skills to gain competitive advantage based on analytical insight into business, scientific and other types of data. It is an ideal second degree for recent graduates in maths or physics, who need to convert their skills and knowledge into a recognised Master's qualification that will allow them to enter the highly paid profession of data analysis. The skills shortage in this field was highlighted in a recent McKinsey report, which predicted that the United States alone faces a shortage of 140,000 to 190,000 people with analytical expertise, and 1.5 million managers and analysts with the skills to understand and make decisions.
MSc: A Bachelors Honours degree with 2:2 or equivalent in a required subject. Required subjects: Computing, technology, maths, physics, engineering, IT, data sciences or data analytics. If English is not your first language you'll need IELTS 6.0 (Academic) with a minimum of 5.5 in each component of writing, speaking, listening and reading.
Core units: Research Methods & Professional Issues - Advanced Data Management - Data Mining & Analytic Technologies -SAS Programming - Research Project. Option units. You'll choose two of the following units: Business Intelligence - Analytics for Data Streams - Web Mining & Analytics - Big Data & Cloud Computing - Optional Industrial Placement. Please note that option units require minimum numbers in order to run and may change from year to year.
|Qualification||Study mode||Start month||Fee||Fee locale||Course duration|
|MSc||Full-time||January 2020||16 Months|
|MSc||Part-time||September 2019||2 Years|
|MSc||Part-time||January 2020||2 Years|
|MSc||Full-time||September 2019||1 Years|
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