Teaching & learning
Turn your interest in data into a career.
Our graduate programmes build the technical and ethical foundations to lead data work in research, government and industry.
MSc
The programme runs full-time over 12 months or part-time over 24 months, with 18 credits per week each semester. The curriculum comprises 12 compulsory courses plus a Capstone project.
Semester I
• DMA803 Data Literacy and Mining
• DMA805 Survey and Census Methodology
• DMA807 Ethics and Disclosure in Research
• DMA808 Applied Econometrics
• DMA817 Database Management
• DMA819 Research Methods
Semester II
• DMA804 Qualitative Data Analysis
• DMA806 Social Network Analysis
• DMA818 Machine Learning
• DMA816 Time Series Analysis
• DMA820 Data Curation and Management
• DMA821 Cross Sectional and Panel Data Analysis
• DMA898 Capstone Project
Admission requirements
Applicants need a Bachelor's Degree in any field of study from an accredited institution with a minimum of Second Class Lower. Applicants with a lower classification must demonstrate at least three years of relevant work experience. Enquire about admissions
MSc Data Management and Analysis
A graduate programme equipping working professionals with the skills for effective data curation, management and analysis to inform policy and research.
The MSc in Data Management and Analysis equips working professionals with the skills needed for effective data curation, management and analysis to inform policy formulation and research. It is offered by CDAMAA together with the Department of Data Science and Economic Policy at the University of Cape Coast.The programme runs full-time over 12 months or part-time over 24 months, with 18 credits per week each semester. The curriculum comprises 12 compulsory courses plus a Capstone project.
Semester I
• DMA803 Data Literacy and Mining
• DMA805 Survey and Census Methodology
• DMA807 Ethics and Disclosure in Research
• DMA808 Applied Econometrics
• DMA817 Database Management
• DMA819 Research Methods
Semester II
• DMA804 Qualitative Data Analysis
• DMA806 Social Network Analysis
• DMA818 Machine Learning
• DMA816 Time Series Analysis
• DMA820 Data Curation and Management
• DMA821 Cross Sectional and Panel Data Analysis
• DMA898 Capstone Project
Admission requirements
Applicants need a Bachelor's Degree in any field of study from an accredited institution with a minimum of Second Class Lower. Applicants with a lower classification must demonstrate at least three years of relevant work experience. Enquire about admissions