The Diploma in Data Science and Analytics offers students the opportunity to advance their careers and gain skills for the new digital economy. Designed for working professionals, the curriculum emphasizes collaboration, experiential learning and team building to solve data-driven challenges.
Students will learn interdisciplinary data collection and examination techniques, data visualization, statistical and computational analytics, presentation skills, and how to apply the fundamental core concepts, and tools of data thinking to their work in any industry or sector.
Students who complete the Graduate Diploma in Data Science and Analytics may receive laddering credit for the 24 units of coursework completed in the diploma program if they are subsequently accepted to the Master of Data Science and Analytics within five years of beginning the first credential in the laddering process.
Completing this program
- Courses: Students will take courses on data and visualization, statistical data analysis, statistical modelling with data, and big data management.
- Specialization: Students will take four courses in their chosen specialization.
Specializations
- Business Analytics
- Data Science
- Financial and Energy Markets
- Health Data Science and Biostatistics
