Summary

Data has the potential to transform the way business, government, science and healthcare is carried out. Conventional manual techniques, however, aren’t capable of handling the deluge of data that modern systems generate. Data science, which applies specialised computational and statistical techniques to analyse big data, is considered a key skill of the 21st century, and there’s a skills shortage in this field.

The interdisciplinary Master of Data Science will provide you with the technical skills to work in data science across a variety of industries. It emphasises concepts, insights and skills that will enable you to use current technologies and adapt to and create new technologies. You’ll be able to process and analyse data sets; use mathematical and statistical modelling techniques, machine learning and data mining to solve challenging problems; and communicate your findings to different audiences.

Key features

• Gain technical knowledge relevant to a range of industries

   

  Apply technical skills in areas such as business and scientific applications, forensic investigation and research.

• Stand apart from your competitors as you enter the workforce

   

  Acquire key skills in data management on and off the cloud, machine learning, statistical modelling and big data technologies.

• Gain a valuable set of interdisciplinary skills

   

  Develop your capabilities across computer science, maths and statistics, enabling you to apply data science to real-world issues.

• Expand your knowledge of data science

   

  Choose electives in areas such as data security management and modern computational statistical methods.