The Master of Science degree in Agricultural Informatics and Data Analytics at Midlands State University addresses demand for information technologies, data processing, and analytical techniques in agriculture for sustainable food and fiber production, natural resources management, and overall economic growth. Students take taught modules covering topics such as emerging issues in e-Agriculture, data science with analytics and visualizations, qualitative and quantitative techniques in agriculture analysis, and geographical information systems.
The programme includes at least 32 taught modules spread over six teaching semesters. Level 1 covers modules including research methods, socio-economic data base systems design, and big data analytics in agriculture, plus option modules such as agricultural policy informatics, agricultural trade and policy, information security, ethics and legal aspects, sustainable development and smart agriculture, and cyber analytics. Delivery for big data analytics is primarily face-to-face with hands-on lab sessions, and the degree includes a dissertation based on supervised research.
Modules
- MAIDA 701 Emerging Issues in e-Agriculture
- MAIDA 702 Data Science: Analytics and Visualizations
- MAIDA 703 Qualitative and Quantitative Techniques in Agriculture Analysis
- MAIDA 704 Geographical Information Systems
- MAIDA 705 Research Methods
- MAIDA 706 Socio-economic Data Base Systems Design
- MAIDA 707 Big Data Analytics in Agriculture
- MAIDA 708 Agricultural Value Chains Development and Financing
- MAIDA 709 Agricultural Policy Informatics
- MAIDA 710 Agricultural Trade and Policy
- MAIDA 711 Information Security, Ethics and Legal Aspects
- MAIDA 712 Sustainable development and Smart Agriculture
