Master of Applied Data Science
Course details
About the course
Data science is a new profession, emerging along with the exponential growth in size and availability of 'big data'. A data scientist provides business analytics and insight into future trends from looking at existing data. Data science is an essential skillset in a world where almost every industry involves large-scale data collection and digitalisation.
This conversion Master’s degree accommodates students from a range of backgrounds (not just those with Mathematics, Statistics, and Computer Science majors), who want to enhance or build their data science and analytics capabilities.
Course Subjects
- DATA401 Introduction to Data Science
- COSC480 Computer Programming
- MBIS623 Data Management
- DATA420 Scalable Data Science
- DIGI405 Texts, Discourses and Data: the Humanities and Data Science
- STAT448 Big Data
- STAT462 Data Mining
- DATA601 Applied Data Science Project
- DATA603 Applied Data Science Industry Project
- DATA605 Applied Data Science Industry Research Project
- Biological Sciences
- Chemistry
- Computer Science
- Data Science
- Digital Humanities
- Economics
- Environmental Science
- Finance
- Geography
- Geology
- Geospatial Data Science
- Health
- Information Systems
- Mathematics
- Philosophy
- Physics
- Project Management
- Psychology
- Statistics
- COSC428 Computer Vision
- COSC401 Machine Learning
- COSC440 Deep Learning
- DATA415 Computational Social Choice
- DATA416 Contemporary Issues in Data Science
- DATA422 Data Wrangling
- DATA423 Data Science in Industry
- DATA424 Information is Beautiful
- DATA425 Foundations of Deep Learning
- GISC401 Foundations of Geospatial Data Science
- GISC404 Spatial Analysis
- GISC412 advanced Methods in Geospatial Data Science
- GISC422 Foundations of Geographic Information Systems
- INFO621 AI in Business
- INFO634 Data Analytics and Business Intelligence
- STAT447 Official Statistics
- STAT455 Data Collection and Sampling Methods
- STAT456 Time Series and Stochastic Processes
- STAT463 Advanced Multivariable Statistical Methods and Applications
- PSYC486 Computational Methods in Psychological Science
- HLTH402 Health Information Management
Entry requirements
Potential students can come from a variety of undergraduate backgrounds. You will need a B Grade Point Average in 300-level bachelor's degree courses, or have evidence of achievement at postgraduate level.
- If you are an international student and need help meeting these requirements, study one of UC’s International Pre-Master’s pathways to gain entry into this degree.
- If you are a domestic student and need help meeting these requirements, study UC’s Diploma in Advancing University Studies to gain entry into this degree.
If English is not your first language, you are also required to meet UC's Postgraduate language requirements. See how to provide your English language evidence to UC. If you need help meeting these requirements, or would like to practise your English skills before studying, UC offers English for Academic Purposes (EAP) language programmes.
For the full entry requirements, see the Regulations for the Master of Applied Data Science or use the admission requirements checker.
How to apply
You can apply online at myUC for the on-campus or distance versions, or through Tuihono UC | UC Online for the online version.
See Admission and enrolment for all information on enrolling at UC.
About the provider
At the University of Canterbury you will get to enjoy the very best a university has to offer 'a world class learning environment, a vibrant campus and a great student lifestyle that's packed with opportunities.
You will gain hands-on experience in courses led by academics who are actively engaged in research and who are experts in their fields. The culture promotes active learning, where the vibrant community allows you to be who you are and do what you love. UC's picturesque campus with modern teaching and research facilities is set in the heart of a city that has become a magnet for growth and innovation. Further afield lies a region packed with outdoor adventure, from the mountains to the sea.