MSc. Data Science & Analytics
Master's Degree • Research-oriented academic pathway
MSc. Data Science & Analytics
An advanced program integrating statistics, computing, machine learning, data engineering and research methodology to extract meaningful knowledge from complex and large-scale datasets.
Program Overview
An advanced program integrating statistics, computing, machine learning, data engineering and research methodology to extract meaningful knowledge from complex and large-scale datasets.
Key Areas of Study
- Advanced Data Science
- Statistical Learning
- Machine Learning
- Big Data Analytics
- Data Mining & Predictive Modeling
- Data Engineering
- Business Intelligence & Visualization
- Cloud Data Platforms
- Research Methodology & Dissertation
Research Opportunities
Students may explore research questions and projects in areas such as:
- Big Data
- Predictive Analytics
- Healthcare Data Science
- Financial Analytics
- Educational Analytics
- Time-Series Forecasting
- Natural Language Analytics
- Responsible Data Science
Career Pathways
Data Scientist Data Engineer Data Analyst Research Scientist Machine Learning Specialist BI Specialist Analytics Consultant Data Architect
Higher Study & Academic Progression
- PhD in Data Science
- PhD in Computer Science
- PhD in Statistics
- PhD in Computational Science
- PhD in Applied Mathematics
Academic Approach
Learning may include lectures, seminars, laboratory work, guided projects, literature review, presentations, research methodology and independent study. Exact course titles, credit distribution and assessment structure are subject to the approved curriculum of the affiliating university and applicable regulatory authorities.
Ready to explore MSc. Data Science & Analytics?
Submit an enquiry and the admissions team can guide you through the current requirements.