Data Science Major – Bachelor of Computer and Information Sciences
Computer Science
A course by
AUT
Study data science as a major within the Bachelor of Computer and Information Sciences at AUT and prepare for in-demand careers such as data analyst, data scientist, or data engineer.
$ENQUIRE
Interested in this course? Enquire now for Domestic & International pricing
In-person study
Face-to-face learning in a physical classroom setting
City Campus, Auckland
It will take a total of 3 years
$ENQUIRE
Interested in this course? Enquire now for Domestic & International pricing
Core skills this course teaches
Develop technical expertise in data science
Gain skills in computing, statistical modelling, and machine learning with the ability to design and implement data-driven solutions.
Analyse and manage data
Prepare, manage and extract knowledge from data; use modelling and prediction to solve organisational problems.
Work with modern data and software tools
Use computing tools for data analytics and apply them to real-world scenarios through hands-on projects.
About This Course
The Data Science Major in AUT's Bachelor of Computer and Information Sciences prepares students for high-demand roles in data analysis, data science, and data engineering. Students learn to manage, prepare and extract knowledge from data, perform modelling and prediction, and use data-driven techniques in computing. The programme includes foundational computing, programming, statistics for data science, forecasting, AI, data mining, and a workplace project for an industry client or research centre.
Course Content
- Programming Concepts and Techniques (COMP500)
- Computing Technology in Society (COMP501)
- IT Project Management (COMP507)
- Database System Design (COMP508)
- Mahitahi/Collaborative Practices (DIGD507)
- Mathematics for Computing (MATH503)
- Data Analysis (COMP517)
- Foundations of Data Science (COMP615)
- Statistics for Data Science (COMP616)
- Forecasting (STAT603)
- Data Structures and Algorithms (COMP610) or Combinatorics and Graph Theory (COMP613)
- Artificial Intelligence (COMP717)
- Data Mining and Knowledge Engineering (COMP723)
- Text and Vision (COMP700) or Nature Inspired Computing (COMP701)
- Workplace experience/Research and Development Project
Entry Requirements
University Entrance or equivalent
Recommended: Calculus, Digital Technologies, Mathematics, or Statistics (as indicated by tag.subjects)
Build towards these roles
Data analystData scientistData engineer
Build skills in these industries
Information TechnologyBusiness AnalyticsData EngineeringSoftware Development
