Faculty of Science - Leading creativity and innovation in the sciences
Undergraduate major in Data Science
Data Science – quick facts
|Available as a major for||Bachelor of Science (BSc)|
Postgraduate study options in Data Science
|Other majors you might be interested in||Computer Science | Information Systems | Statistics|
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.
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.
- 75 points: STATS 101 or 108, STATS 125, COMPSCI 101 and 105, MATHS 108 or 150
- 90 points: STATS 201 or 208, STATS 210 or 225, STATS 220, COMPSCI 220 and 225, MATHS 208 or 250
- 45 points: STATS 330, 369, 380, or any other courses approved by the Head of Department
- 45 points: COMPSCI 320, 351, 367, or any other courses approved by the Head of Department
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.
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
- Information officer
- Insight manager
Help and advice
Departments and schools
- Biological Sciences
- Chemical Sciences
- Computer Science
- Exercise Sciences
- Institute of Marine Science
- The University of Auckland Clinics
- ICT Graduate School
- Goat Island Marine Discovery Centre
- The University of Auckland Reserves
- Auckland Science Analytical Services (ASAS)
- Science IT