mis
Why?
Understanding Management Information Systems is essential for data science students as it connects the technical world of data with organizational decision-making. MIS helps bridge business objectives and data-driven solutions, providing students with a holistic perspective on how data is used to create value, automate processes, and support strategic and operational decisions in enterprises.
What?
This course introduces students to the foundational principles of MIS, decision support systems, e-business models, IT infrastructure, and business intelligence. It explores how businesses utilize information systems to gain a competitive edge, improve efficiency, and enhance decision-making processes. Students will analyze real-world case studies and learn how to align data strategies with business goals.
Curriculum:
Business Driven MIS
Overview of how businesses use information systems to support strategic initiatives, enhance operations, and respond to dynamic market needs. Topics include competitive advantage, business initiatives, and alignment of IT and business strategies.
Decision Support Systems
Understanding systems that assist in decision-making processes, including models for operational, tactical, and strategic decisions, and the role of data-driven decision support in organizations.
E-Business
Exploring digital business models, e-commerce strategies, and the technologies that enable online transactions and virtual markets. Topics include B2B, B2C, and e-government models.
MIS Infrastructure
Understanding the technical foundation of MIS, including hardware, software, networks, cloud computing, and IT security. This chapter emphasizes the importance of scalable and secure infrastructures in supporting information systems.
Business Intelligence
Introduction to BI tools and techniques used to transform raw data into actionable insights. Topics include dashboards, data warehouses, OLAP, and how BI supports strategic decision-making.
Notes
MIS provides a valuable context for applying technical data science skills in business environments. Try to relate each concept to real companies and think about how data supports decision-making in daily operations.
