Master of Data Science (MDataSci)
Computer Science
A course by
University of Auckland
Learn how to make decisions using measurable data-driven insights through a blend of Computer Science and Statistics in the Master of Data Science at University of Auckland.
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Core skills this course teaches
Develop critical data science skills
Gain a unique combination of skills in Computer Science and Statistics essential for modern data science applications.
Comprehend and process data effectively
Learn to comprehend, process, and manage data to extract meaningful information and value.
About This Course
The Master of Data Science (MDataSci) at the University of Auckland enables students to master data-driven insights. Through completing a strong core of Computer Science and Statistics courses, students develop skills in data management, analysis, and innovation—preparing for professional roles in the expanding data science industry. Two taught masters pathways are available (180-point for those with combined backgrounds, 240-point for those from either discipline), both emphasising critical, reflective practice for postgraduate or industry progression.
Course Content
- Core Computer Science and Statistics courses
- Data management and analysis
- Applied data science techniques
- Critical and reflective practice
- Data-driven decision-making
- Professional development in data science
Entry Requirements
For 240-point taught masters: Background in Computer Science or Statistics (but not both)
For 180-point taught masters: Undergraduate major in Data Science, or a combination of Computer Science and Statistics
Build towards these roles
Business analystBig data solutions architectData mining engineerData scientistDigital product designerMachine learning engineer
Build skills in these industries
Data ScienceTechnology
