Program Educational Objectives (PEO's)
The Program Educational Objectives describe the career and professional accomplishments that the program prepares graduates to achieve.
1
Data-driven Problem Solving: Apply data analysis and computational techniques to solve real-world problems effectively.
2
Professional Growth: Excel in industry, research, and higher studies with strong analytical and technical skills.
3
Professional Conduct: Demonstrate ethical practices, teamwork, communication, and lifelong learning.
Program Specific Outcomes (PSO's)
The Program Specific Outcomes describe what students are expected to know and be able to do upon graduation.
1
Data Analysis and Interpretation: An ability to analyse and interpret data using statistical and computational techniques.
2
Development of Data-driven Solutions: An ability to design and implement solutions based on data insights for various applications.
3
Use of Data Science Tools: An ability to apply modern tools and technologies for data processing, visualization, and analysis.