Data Science Program Outcomes
1. Mastery of statistical concepts and methods.
2. Ability to identify and analyze social, legal, and ethical issues in data science.
3. Capability to acquire data from existing sources and create databases.
4. Ability to use statistical, mathematical, and econometric methods in data analysis with a focus on global issues.
5. Proficiency in using software like Stata, Python, and R for problem-solving with mathematical, statistical, and econometric methods.
6. Ability to analyze large datasets in the context of global issues.
7. Skills in modeling and interpreting statistical findings.
8. Ability to establish and evaluate appropriate legal and ethical standards related to communication and network security.
9. Knowledge of principles and methods required for analysis in financial decision-making, capital investment, and budgeting.
10. Understanding and analyzing how data can be used to develop competitive advantage.
Click here for the Courses - Program Outcomes Matrix