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.
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 also take the first course for your second major, minor or elective courses.
Courses you study this year include data science, forecasting, structures and algorithms.
You also continue to take courses for your chosen second major, minor(s) or elective courses.
Courses this year are related to nature inspired computing, AI, data mining and knowledge engineering.
You also take the final courses for your chosen second major, minor(s) or elective courses.
Download our study planner to see what your studies could look like in the Bachelor of Computer and Information Sciences.
Bachelor of Computer and Information Sciences study planner
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.
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
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The information on this page was correct at time of publication. For a comprehensive overview of AUT qualifications, please refer to the Academic Calendar.