Program start date | Application deadline |
2024-01-01 | - |
2024-03-01 | - |
2024-05-01 | - |
2024-07-01 | - |
2024-09-01 | - |
2024-10-01 | - |
Program Overview
The Master of Data Science program is a 12-course online program that provides students with the skills and knowledge necessary for a career in data science. The program includes six core courses and six elective courses, and is taught by faculty who are experts in their fields. Students will have access to Student Success Advisors and Career Success, which provides tools and resources for career planning and development. Graduates of the program will be prepared for careers as data scientists, research scientists, machine learning engineers, data engineers, data warehouse architects, and investigations & data journalists.
Program Outline
Outline:
- Master of Data Science is a 12-course program (six compulsory and six electives).
- Courses offered in January, March, May, July, September, and October.
Core Courses:
- Foundations of Data Science
- Principles of Programming
- Statistical Inference for Data Scientists
- Regression Analysis for Data Scientists
- Data Mining and Machine Learning
- Capstone Data Science Project
Elective Courses:
- Big Data Management
- Data Visualisation and Communication
- Multivariate Analysis for Data Scientists
- Neural Networks, Deep Learning
- Decision Making in Analytics
- Data and Ethics
- Bayesian Inference and Computation
- Database Systems
- Strategic Decision Making
Teaching:
- 100% online
- Faculty includes academics who are experts in their fields
- Support from Student Success Advisors and access to Career Success, which provides tools and resources for career planning and development
Careers:
- Data Scientist
- Research Scientist
- Machine Learning Engineer
- Data Engineer
- Data Warehouse Architect
- Investigations & Data Journalism
Entry Requirements:
To be eligible for the Master of Data Science, you must have either:
- Completed the online Graduate Diploma in Data Science (5646) with a WAM of 65 or higher OR