Master of Research and Data Science
Statistics, Python and R, machine learning, big data and visualisation for evidence-based decisions, finishing with a master’s thesis.
Statistics, Python and R, machine learning, big data and visualisation for evidence-based decisions, finishing with a master’s thesis.
Graduate profile
Graduates can gather and analyse complex data, build predictive models and communicate findings that guide strategy.
Course structure
- Advanced Research Methods
- Applied Statistics for Research
- Data Science Fundamentals
- Data Management and Warehousing
- Statistical Computing with Python and R
- Machine Learning and Predictive Analytics
- Big Data Analytics
- Data Visualization and Communication
- Artificial Intelligence Applications
- Quantitative and Qualitative Research Techniques
- Business Intelligence and Decision Support Systems
- Ethics in Research and Data Science
- Seminar in Research and Data Science
- Master’s Thesis
For the full course list with codes and credit hours, contact the Registrar’s Office.
What you’ll need to apply
- Completed online application
- Bachelor’s degree certificate
- Official academic transcript
- Passport or national ID
- Passport-size photograph
- Curriculum vitae (CV)
- Supporting documents, if applicable
Requirements can vary. Admissions will confirm what applies to you.
- 01
Attend classes online
Lectures and learning materials on the Admas Moodle platform.
- 02
Submit assignments
Online assignments and quizzes, on a flexible schedule.
- 03
Get support
Reach instructors and academic and technical support from anywhere.
- 04
Graduate
Complete your assessments and final project or thesis.
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