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Contents

Subject Overview

The last decade has seen an explosion in the amount of data available. It has evolved into the most important asset for many companies and people. Big data is ubiquitous, but to extract information, individuals require the ability to both manage and analyse the data. This ability to turn data into information, knowledge and innovative products often separates success from failure.

Data scientists have the skill set to drive innovation and affect the success of start-ups, established businesses and organisations, governments and science projects, as well as media, broadcasting and cultural events.

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, Statistics and Mathematics to provide the necessary background and training.

The Department of Statistics is the birthplace of the R Project. Founded in 1996 by Associate Professors Robert Gentleman and Ross Ihaka. R is a programming language and environment for statistical computing and graphics. It is taught around the world and is used by Ivy League universities, Google, Uber, and many more organisations.

Knowledge and Skills

You can complete a Bachelor of Science in Data Science in areas such as:
- Processing data and managing databases
- Bringing together data from disparate sources
- Extracting information and value from data
- Conducting statistical and predictive modelling
- Developing effective critical analysis, communication and reflective skills
Graduates will develop an enthusiasm for ideas, discovery and learning, and intellectual curiosity. You'll have the opportunity to work independently and contribute to collaborative projects, and become a responsible citizen in a data-rich world.

Potential Careers

On the world stage, Data Science is a rapidly growing field with an unmet demand for suitably qualified graduates.
- Data analyst
- Data scientist
- Database administrator
- Developer
- Information officer
- Insight manager
- Statistician

Schedule

Schedule Notes

Not available for conjoint degree programmes

Plan Schedules

Complete 270 to 285 points comprising:

  • 60 points for all Stage I Compulsory Courses, and
  • Either:
  • 15 points for all Stage I Mathematics Courses - Option I, or
  • 30 points for all Stage I Mathematics Courses - Option II, and
  • 90 points from Stage II Courses, and
  • 90 points from Stage III Courses, and
  • 15 points from Capstone Courses

Stage I Compulsory Courses

Complete 60 points for ALL of the following:

Stage I Mathematics Courses - Option I

Complete 15 points for ALL of the following:

Stage I Mathematics Courses - Option II

Complete 30 points for ALL of the following:

Capstone Courses

Complete exactly 15 points from the following: