Program Objectives POs

• POs 1

  Domain knowledge: Apply advanced principles of Mathematical Sciences, Economics, and Statistics to solve complex statistical and mathematical problems.

• POs 2

  Problem analysis: Identify, formulate, and analyze complex data-related problems, reaching well-supported conclusions using foundational principles of mathematics, natural sciences, and statistical methods.

• POs 3

  Design/development of solutions: Develop innovative solutions for complex data science problems, designing system components or processes that meet specified needs while considering public health and safety, as well as cultural, societal, and environmental factors.

• POs 4

  Conduct investigations of complex problems: Utilize research-based methods to conduct thorough investigations, including designing experiments, analyzing and interpreting data, and synthesizing information to arrive at logical conclusions.

• POs 5

  Modern tool usage: Select and apply appropriate techniques, resources, and modern tools, including predictive modeling and advanced analytics, to address complex mathematical and statistical challenges while understanding their limitations.

• POs 6

  Professional and Societal Impact: Apply contextual knowledge to assess societal, health, safety, legal, and cultural issues, understanding the responsibilities relevant to professional data science practice..

• POs 7

  Environment and sustainability: Understand the impact of data science solutions in societal and environmental contexts, demonstrating the importance of sustainable development.

• POs 8

  Ethics: Adhere to ethical principles, committing to professional ethics, responsibilities, and standards of data science practice.

• POs 9

  Individual and team work: Function effectively as an individual independently and as a member or leader in diverse teams, and in multidisciplinary settings

• POs 10

  Communication: Communicate effectively on complex data science activities with both the scientific community and society at large, ensuring clear exchange of instructions and information.

• POs 11

  Project management and finance: Exhibit knowledge and understanding of principles in statistics, data science, AI/ML, and management, applying them to manage projects as a team member or leader in multidisciplinary environments.

• POs 12

  Life-long learning: Recognize the necessity for continuous learning and have the preparedness to engage in independent, life-long learning in the context of ongoing technological advancements in data science.