Data Science Major - Bachelor of Computer and Information Sciences

Study data science and develop the skills for a career as data analyst, data scientist or data engineer; careers that are in high demand all over the world.

Advances in big data analytics are already driving businesses and organisations towards increasing levels of automated decision-making through sophisticated machine learning software. As a graduate of this major you’ll have skills in computing, machine learning and statistical modelling, and will be ready to design and implement data-driven solutions for a range of problems.

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This is part of the Bachelor of Computer and Information Sciences.

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The Data Science major focuses on managing and preparing data, extracting knowledge from data for the purposes of modelling and prediction, and techniques for pipelining, presenting and visualising data.

Year 1

You’ll study six core courses that cover foundational computing knowledge, as well as a course on data analytics, covering basic data analysis techniques and the computing tools to apply such techniques.

You study the following courses:

Core courses

Data science course

You also take the first course for your second major, minor or elective courses.

Year 2

Courses you study this year include data science, forecasting, structures and algorithms.

You study the following courses:

Data science courses

You also continue to take courses for your chosen second major, minor(s) or elective courses.

Year 3

Courses this year are related to nature inspired computing, AI, data mining and knowledge engineering.

You study the following courses:

Data science courses

You also take the final courses for your chosen second major, minor(s) or elective courses.

Workplace experience as part of the Data Science major

The Research and Development Project course in your final year brings together the skills you’ve developed throughout your degree. You apply what you’ve learnt throughout your studies in a project for an industry client or research centre, under the guidance of an experienced supervisor.

Want more info about work integrated learning at AUT?

Read more about workplace experience in AUT programmes, how it works and why it’s so beneficial when you start your career.

Workplace experience in AUT programmes

  • Data analyst
  • Data scientist
  • Data engineer
Key features
  • Data science skills are in high demand worldwide
  • Create data-driven solutions for a range of problems
  • Includes a major research project for an industry organisation
  • Option to include subjects from across AUT in your degree
See yourself as
  • Precise
  • Curious and analytical
  • Meticulous and a planner
  • Interested in business

The information on this page was correct at time of publication. For a comprehensive overview of AUT qualifications, please refer to the Academic Calendar.

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