Addis Ababa University - Master of Data Science

Year I Semester I

• Data Science for Surveillance Systems
• Biostatistical Methods I
• Data Science Fundamentals
• Statistical Computing

Year I Semester II

• Probability and Statistical Inference
• Machine Learning
• Research Methods for Data Science
•  Data Engineering and Management​

Year I Summer

• Internship (Required)

Year II Semester I

• Advanced Data Analytics
• Biostatistical methods II
• Thesis - Proposal

Year II Semester II

• Thesis

University of Nairobi - Master of Public Health Data Science

Year I Semester I

• Data Science Fundamentals
• Statistical Computing
• Biostatistics Methods I
• Epidemiological Methods I

Year I Semester II

• Machine Learning
• Probability and Statistical Inference
• Biostatistical Methods II
• Epidemiological Methods II

Year I Summer

• Practicum in Public Health Data Science

Year II Semester I

• Health Data Mining and Analytics
• Research Methods for Data Science
• Advanced Machine Learning

Year II Semester II

• Research Project in Public Health Data Science

Elective Courses

• Big Data Infrastructure, Platforms and Warehousing
• Data Security and Privacy
• Machine Vision for Data Science
• Health Planning, Management and Policy Development
• Longitudinal Data Analysis
• Internet of Things
• Survival Data Analysis

University of Nairobi - Master of Data Science

Year I Semester I

• Data Science Fundamentals
• Statistical Computing
• Statistics for Data Science
• Matrix Algebra Computation

Year I Semester II

• Optimisation Methods for Data-Driven Inference
• Big Data Infrastructure, Platforms and Warehousing
• Machine Learning
• Spatial Data Analysis with GIS

​Year I Summer

• Practicum in Data Science

Year II Semester I

• Health Data Mining and Analytics
• Advanced Machine Learning
• Research Methods for Data Science

Year II Semester II

• Research Project in Data Science

Electives

• Data-Driven Strategic Decision Making
• Data Security and Privacy
• Machine Vision for Data Science
• High Performance Computing
• Deep Learning and Applications
• Data Mining and Knowledge Discovery
• Internet of Things