Faculty of Science - Leading creativity and innovation in the sciences


Data Science

Subject description


cl-data-science

The last decade has seen an explosion in the amount of data available. These can originate from databases, the Web, tweet streams, online transaction records, sensors or governments. Data has evolved into the most important asset for many companies and people. The question facing every business today, every start-up, every non-profit, every project site that wants to attract a community, is how to use data effectively. The ability to turn data into information, knowledge, and ultimately into innovative products often separates success from failure.

Data scientists and data managers are scientists in a business profession. They analyse the world quantitatively to yield opportunities that make it a better place qualitatively. The success of companies like Google, Amazon, and Facebook has encouraged a whole generation of business leaders to replicate their data-driven processes.

Data Science draws together courses from Computer Science, Statistics and Information Systems to address a need for professionals with a specific skill set. The qualification enables graduates to be readily identifiable as holding the skills to participate in the field and to contribute to its advancement.

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Data Science flyer
(2.2 MB, PDF)
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Structure and prerequisites


Master of Professional Studies in Data Science (MProfStuds)

Prerequisite: In order to be admitted to this programme, a student needs to have completed

either

  • the requirements for a four-year Bachelors degree

or

  • the requirements for a Bachelors (Honours) degree

or

  • the requirements for a Bachelors degree

and

  • have at least a B- average grade in the 90 points (or equivalent) of the most advanced courses of the degree

and

  • either a professional qualification equivalent to one year’s advanced study or at least three years of professional experience deemed relevant to this programme by Senate or its representative

and

  • any prerequisites for the courses in the subject area in which they wish to enrol.

Applicants who do not have the background to take the core 700 level Computer Science courses should first take some relevant computer science courses as part of a Certificate of Proficiency programme. (COMPSCI 220 Algorithms and Data Structures and/or COMPSCI 230 Software Construction, for example.)

Applicants who do not have the background to take the core 700 level Statistics courses should also first take some relevant statistics courses as part of a Certificate of Proficiency programme. (STATS 201 Data Analysis or STATS 207 Data-centered investigation and analysis, for example.)


Requirements:

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Career opportunities


Graduates of the programme will have a unique combination of skills in data science and data management. These skills allow them to comprehend, process and manage data effectively and efficiently, to extract value from data, to visualise it and to communicate it. The programme serves increasing demands from industry which relies upon massive volumes of data. Companies such as IBM, Infosys, Oracle and Orion increasingly need specialists in this field. Analysts, data administrators, software developers, managers, programmers and scientists could all benefit from the programme to further their careers.

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Further information


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