Academic Background: Bachelor’s degree in a cognate discipline (e.g., Computer Science, Mathematics, Statistics, Engineering).
Alternatively, applicants with equivalent prior learning plus five years relevant professional experience may also be considered.
Subject Prerequisites : Programming fundamentals: familiarity with coding or programming principles.
Mathematics & Statistics: foundational knowledge in statistics, multivariate analysis, and time series concepts.
Data systems: understanding of databases or system analysis.
Ethics & Communication: ability to communicate scientific information and practice ethical handling of data.
Capstone Experience: readiness for a research project or professional placement in the final semester.
Interdisciplinary awareness: comfortable working across computer science, mathematics, and data-driven methodologies.
