Bachelor of Data Science
Computer Science
A course by
University of Canterbury
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.
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
Core skills this course teaches
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.
Apply programming and computational skills
Develop strong abilities in computer programming, algorithms, and data wrangling to solve real-world data problems.
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
What sort of industry will this job lead to
Technology
Business Analytics
Health Data Analysis
Spatial Data
Bioinformatics
Future employment opportunities might be
Data Scientist