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Data Science MSc by Research

Course Description

Data science is positioned to be the major new arena of scientific discovery in the 21st century. As Eric Schimdt, CEO of Google, has pointed out, we now generate as much information every two days as we did from the dawn of human civilisation up until the year 2003.

To cope with this vast amount of data, there is an urgent requirement to derive meaningful insights from very large and diverse data sources: the so-called 'big data challenge'. Secure identification of individuals, accurate financial prediction and reliable cancer diagnosis are all examples of area in which the technologies underpinning data science are marketing revolutionary contributions, enriching our lives, and making our future healthier, more efficient and more secure.

The MSc by Research (Data Science) provides an opportunity for students who wish undertake an individual real-world big-data research project; you can choose a project area from a wide variety of interdisciplinary domains, including business information systems, e-health, social media, cloud computing, smart homes, intelligent vehicles and ambient assisted living.

We currently have supervisors available in:

Machine learning
Visual analytics
Mathematics and statistics
Smart sensors (for ambient assisted living and smart homes)
Numerical algorithms (especially computational geometry)
Artificial intelligence
Ethics of technology
Business information systems and business informatics
Robust software/system development
Operations management
Enterprise and economic development
As a student of this course you'll receive a free electronic textbook for every module.

Visit the Data Science MSc by Research page on the Middlesex University website for more details!

Entry Requirements

A second class honours degree in a science-based discipline and subject to the proposed project being acceptable.

Course Fees

FEES Full-time: £4,052 Part-time: £2,026 FEES INTERNATIONAL Full-time:£10,500 Part-time: £5,250

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Recipient: Middlesex University

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