Faculty of Science - Leading creativity and innovation in the sciences


Undergraduate major in Data Science


Data Science – quick facts

Taught by

Department of Computer Science

Department of Statistics

Available as a major for Bachelor of Science (BSc)

Postgraduate study options in Data Science

Master of Professional Studies (MProfStuds)

Other majors you might be interested in Computer Science | Information Systems | Statistics

Subject description


On the world stage, data science is a rapidly growing field with an unmet demand for suitably qualified graduates. Big data is ubiquitous, but to extract information individuals require the ability to both manage − and analyse − the data.  

New for 2017, the Data Science major will provide initial preparation for students wishing to pursue a career in this area. It ties together courses from Computer Science and Statistics to provide the necessary background and training in these fields, along with Mathematics courses.

You'll learn the essentials of data science through the study of data management, algorithmics and data analysis. This strong, coherent background will make you immediately employable as a graduate, or prepare you for progression to postgraduate study.

As Data Science major, you'll learn how to:

  • Process data and manage databases
  • Bring together data from disparate sources
  • Extract information and value from data
  • Conduct statistical and predictive modelling
  • Develop effective critical analysis, communication and reflective skills

You'll develop an enthusiasm for ideas, discovery and learning, and intellectual curiosity. You'll work independently and contribute to collaborative projects, and you'll become a responsible citizen in a data rich world. 

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Structure


Bachelor of Science (BSc) - Data Science major

The major matches courses in Statistics and Computer Science to provide a focused major for Data Science.

In your first year, you'll study the foundation courses in Statistics, Computer Science and Mathematics, with introductions to data analysis and probability, the principles of programming and data structures. The second year will introduce data technologies and algorithmics, as well as Statistics courses covering theory and applications. The final year covers statistical modelling, statistical computing, applied algorithmics, database systems and artificial intelligence, as well as a capstone course (STATS 369 - to be introduced in 2018/2019) in the final semester with case studies from business, industry and government.

In the 360 point major, you also have 105 points free to either deepen your knowledge of Statistics or Computer Science, or to broaden your knowledge in other areas.

Data Science

STATS 369 (to be introduced in 2018/2019): 15 Points

Data Science Practice: Modern predictive modelling techniques with application to realistically large data sets. Case studies will be drawn from business, industrial and government applications.

Prerequisite: STATS 220; STATS 201 or 208, STATS 210 or 225

Plan your degree with our Data Science planner.

 

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Career opportunities


There is currently an unmet demand for graduates in the field of data science. As a Data Science graduate, you will have a range of career opportunities available to you, including:

  • Data analyst
  • Data scientist
  • Database administrator
  • Developer
  • Information officer
  • Insight manager
  • Statistician
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Help and advice


For further information please contact:

Science Student Centre
Room G20, Level G, Building 301
23 Symonds Street
Phone: +64 9 923 7020
Email: scifac@auckland.ac.nz

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