Postgraduate Diploma in Applied Data Science

Summary

Data science is a new profession emerging along with the exponential growth in size, and availability of 'big data'. A data scientist provides insight into future trends from looking at past and current data. This is an essential skillset in a world where everything from education to commerce, communication to transport, involves large-scale data collection and digitalisation.

This Postgraduate Diploma is designed to accommodate 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 capabilities and combine these with the skills and knowledge they bring from their previous studies. So long as you are data-hungry and industry-aware; this degree can add to your employability and career prospects.

The Postgraduate Diploma in Applied Data Science is offered fully on campus, by distance (study from anywhere in New Zealand with onsite intensives on campus), or fully online.

What will my study involve?

• One of the few such programmes in Australasia that supports your development from a wider undergraduate study background.
• Focus on broader skills required of data scientists such as advanced analytical capability, problem solving, critical thinking, teamwork, and communication skills.
• Option to study via distance learning off campus from any location.
• UC has strengths in the area of data science, including a number of relevant research centres (eg, Toi Hangarau | Geospatial Research Institute, Tangata Hangarau, Hangarau Tangata | HIT Lab NZ, Wireless Research Centre, Digital Humanities).

Subjects and Courses

• DATA401 Introduction to Data Science
• COSC480 Computer Programming
• MBIS623 Data Management
• DIGI405 Texts, Discourses and Data: the Humanities and Data Science
• STAT462 Data Mining
• DATA420 Scalable Data Science
• STAT448 Big Data
• Applied AI
• Biological Sciences
• Chemistry
• Computer Science
• Data Science (excluding DATA601, DATA603, and DATA605)
• 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