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MGS 2030: Principles of Management (3 Credits)
This course is designed to explain the contemporary management challenges stemming from a changing work environment, globalization, new technological, developments and an increasingly diverse workforce. It identifies and reviews critical managemetn pricniples involved in planning, organizing, leading and controlling. Students willlearn to apply their knowledge to recognize, analyze and solve the complex problems of the contemporary mangemeent context.
Requisites:Prerequisite(s): ENG*1030 and COMM*1402 - Must be completed prior to taking this course.
MGS 3001: Python Programming for Business (3 Credits)
Programming is a core component of the analytics field, as it facilitates data cleaning, preparation, and mining. Python scripting language is widely used in the data science field for data exploration and analysis. Through this course, students learn fundamental programming concepts and python programming syntax. The course familiarizes the students with Python’s built-in modules, libraries, and functions that are essential for pattern and knowledge discovery.
Requisites: Prerequisite(s): CPS 1032 and MATH 1044 - Must be completed prior to taking this course.
MGS 3101: Foundations of Business Analytics (3 Credits)
Foundations of Business Analytics in an introductory course that demonstrates and elaborates the power of continuous iterative analysis of past business performance on decision making across different domains using python. The course equips the students with the skills and techniques that they need for the Business Analytics Program. Through the course, students explore the applications of Business Analytics, Business Intelligence, Data Mining, and Big Data from a managerial perspective.
Requisites: Prerequisite(s): MGS 3001, MATH 1044, CPS 1032, and MGS 2030 Must be completed prior to taking this course.
MGS 3701: Data Mining in Business (3 Credits)
Data is one of the most valuable and strategic assets that organizations have. Data mining is a continuous process that is crucial for many organizations to discover and extract information and patterns from their data to make business-related decisions using data-driven approaches. The objective of the course is to familiarize the students with the data mining process and applications from a managerial perspective to help discover information and knowledge in large data sets to support the business needs.
Requisites: Prerequisite(s): MGS 3001, MGS*3101, and MGS 2150 - Must be completed prior to taking this course.
MGS 4701: Integrative Applications of Business Analytics
The purpose of this course is to provide students with hands-on experience to apply and integrate the knowledge and skills learned from all Business Analytics core courses to tackle real business problems. This is a rigorous team-based and project-intensive course. Moreover, the course challenges students to originate innovative solutions from strategic and technical perspectives.
Requisites: Prerequisite(s): MGS 3501 and MGS 3701 - Must be completed prior to taking this course.
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