Bachelor of Data Science

Computer Science

A three-year bachelor's degree equipping students with the skills to analyse, process, and interpret data using programming, maths, and statistics for informed decision-making across diverse industries.

NZ$24,303

inc GST

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This course starts anytime

NZQA Level 7 Certification (360 Credits)

Study Level

Advanced

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In-person study

Face-to-face learning in a physical classroom setting

University of Canterbury Ilam campus, Christchurch

It will take a total of 3 years

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Analyse and interpret data

Learn and apply techniques to analyse, interpret, and extract insights from large, complex data sets using appropriate statistical and programming methods.

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Apply programming and computational skills

Develop strong abilities in computer programming, algorithms, and data wrangling to solve real-world data problems.

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Utilise ethical and secure data practices

Understand and implement secure, ethical ways to collect, store, and process data, and consider the social impacts of data systems.

What You're Signing Up For

The Bachelor of Data Science at the University of Canterbury teaches you the secure and ethical handling, processing, and analysis of large data sets utilising programming, mathematics, statistics, and hands-on approaches across fields. Projects in the final year provide experience applying data science in real-world situations. With core courses in maths, programming, and statistics, and major options including bioinformatics, business analytics, and spatial data, the programme develops a skillset applicable to a vast array of industries.

Course Content

  • Introduction to Data Science
  • Computer Programming
  • Computer Science
  • Mathematics
  • Applied Statistics
  • Data Wrangling
  • Algorithms
  • Bioethics
  • Big Data Computing
  • Computational Data Methods
  • Multivariate Statistical Methods or Data Mining
  • Hands-on laboratories and field work
  • Capstone project with industry supervision

What you need to know first

University Entrance or equivalent

English language proficiency (for non-native speakers)

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What sort of industry will this job lead to

  • Technology

  • Business Analytics

  • Health Data Analysis

  • Spatial Data

  • Bioinformatics

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Future employment opportunities might be

  • Data Scientist

  • Data Analyst

  • Software Architect

  • IT Consultant

  • Business Analyst

  • Statistician

  • Software Developer