Business Analytics
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| Name | Title | Credits | School |
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| BUSA 301 | Data Acquisition, Injection and Preparation, and Visualization | 3 | School of Management |
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This course discusses various aspects of initial stages of data management that include acquiring data from different sources, preparing data without any outliers and make them structured, and visually presenting the data in such a way that stakeholders can understand the performance of every processes of an organization. This course also embeds with latest technological tools, used commonly in industries, that support students to become masters of data handling. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3 |
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| BUSA 305 | Python for Business Analytics | 3 | School of Management |
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This course discusses applications of business analytics using the most popular programming language in the discipline to strengthen decision-making ability in different business areas. This course provides students with an understanding of the emerging role of analytics in business disciplines and shows how to use Python to effectively utilize and interpret data-driven models and results for better decisions making. Prerequisite Course(s): Prerequisites: QANT 201 Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3 |
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| BUSA 310 | Database Management Systems | 3 | School of Management |
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This course provides an introduction to the contemporary database management systems. It focuses on the fundamentals of relational database management systems and their applications, the techniques and methodology used in database design and implementation, and the current developments in database theory and their practice Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3 |
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| BUSA 410 | Web and Social Media Analytics | 3 | School of Management |
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This course discusses applications of business analytics in the domain of web and social media. The students will develop social media data mining skills such as sentiment analysis and text mining using Python programming language. They will also develop a managerial understanding of web analytics measures and web performance optimization through Google Analytics. Prerequisite Course(s): Prerequisites: BUSA 305 Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3 |
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