Program Learning Outcomes

The MS in Data Analytics equips students with the skills and knowledge necessary to excel in data analytics while addressing the growing demand for professionals who can transform data into actionable insights across various industries. Students who complete the program will be able to demonstrate the following program learning outcomes: 

PLO 1: Integrate multidisciplinary knowledge to engage in practical data analytics projects, from analyzing requirements to managing data, building models, presenting results and assessing societal impacts.

PLO 2: Identify, use and evaluate current and emerging multidisciplinary data analytics technologies and tools.

PLO 3: Apply effective oral and written communication skills necessary to professional work including collaboration and presentation to multidisciplinary audiences.

PLO 4: Perform research in applying data analytics to specific domains.

PLO 5: Utilize quantitative skills from a rich foundation of essential knowledge to solve complex, dynamic and practical data analytics problems in various professional domains.

PLO 6: Work productively as individuals and in teamwork to perform data analytics tasks as part of a multidisciplinary team.

PLO 7: Identify ways in which data analytics professionals can contribute to the cultural, economic, educational and social well-being in diverse and multicultural local, national and global contexts.