Organisations increasingly need to process large volumes of digital data, from personal medical histories, to socio-economic statistics, to internet trends. Data scientists are one of the newest professions to come from this demand for effective storage, maintenance and use of 'big data'. Graduates with modern technical knowledge of computing systems and statistical simulation are needed to process information in a range of industries.
Data Science combines mathematics with technology innovation and practical results. You will study at the forefront of modern practices and issues in the digital world, including ethics and security of data, strategy development and statistical programming.
With such a wide range of industry applications and career opportunities, Data Science has been identified as one of the most essential and employable skills of the twenty-first century.
Why study Data Science at UC?
- UC is ranked in the top 200 universities in the world in Computer Science and Information Systems (QS World University Rankings by Subject, 2017).
- Christchurch is home to a number of technology and innovation industries, and is ranked as the #1 city globally for starting a business, with many start-up companies on the search for skilled graduates from UC.
- A number of research centres at UC utilise data science, including Geospatial Research Institute, HIT Lab NZ, High Performance Computing, Wireless Research Centre, NZ Institute of Language, Brain and Behaviour, and Digital Arts, Social Sciences and Humanities Lab.
* Subject to Universities New Zealand CUAP approval, due August 2017.
Year 13 studies in maths, statistics or computing will give you a good background for your first-year courses, however these are not essential to major in Data Science.
UC offers Headstart summer preparatory courses in January/February for those wanting more confidence in mathematics and statistics.
The first-year, 100-level courses required to complete a Bachelor of Science majoring In Data Science are:
- COSC121 Introduction to Computer Programming
- COSC122 Introduction to Computer Science
- MATH102 Mathematics 1A
- MATH120 Discrete Mathematics
- STAT101 Statistics 1
200-level and beyond
Beyond first year, Data Science courses will further expand on data ethics; software algorithm programming; statistical analysis and computer modelling; and data wrangling and data mining.
Graduates of Data Science will find their knowledge is in high demand, as there is a global shortage of expertise to support the steady growth in data collection and digitisation.
Graduates will find employment in business and technology sectors as data scientists, data advisors, data/analytics consultants, and insight analysts.
Data Science graduates will also have a background in project implementation, research, critical analysis and problem solving, and communication skills discussing and explaining data findings, all of which are useful skills in a number of careers.
Find out more about what you can do with a degree in Data Science.
More informationSchool of Mathematics and Statistics
Erskine Building - see the School website for up-to-date location details
University of Canterbury
Te Whare Wānanga o Waitaha
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