Introduction to Data Science (DATA7001)
Information valid for Semester 1, 2019
Course level
Postgraduate Coursework
Faculty
Engineering, Architecture & Information Technology
Schools
Communication & Arts School, Info Tech & Elec Engineering, Mathematics & Physics School
Units
2
Duration
One Semester
Delivery mode
Internal
Class hours
2 Lecture hours
1 Tutorial hour
2 Practical or Laboratory hours
Prerequisite
Program entry requirements
Restricted
Restricted to MDataSc students only.
Assessment methods
Assignments, projects and Exams
Course enquiries
Current course offerings
| Course offerings | Location | Mode | Course Profile |
| Semester 1, 2025 (24/02/2025 - 21/06/2025) | St Lucia | In Person | Course Profile |
| Semester 2, 2025 (28/07/2025 - 22/11/2025) | St Lucia | In Person | Profile unavailable |
Please Note: Course profiles marked as not available may still be in development.
Course description
This course introduces the fundamental process of data science and provides the necessary computational and statistical foundations for further courses in the master of data science. Design thinking methodology will be utilised to approach complex data science problems as a design problem. The data science process will be practiced through case studies in a number of data-intensive domains.
