Program Learning Outcomes
After completing this program, students should:
- demonstrate command of key concepts, methods, theories, and application in the core areas of data science: general statistical methods, regression, programming, and data management.
- Demonstrate proficiency with statistical analysis of data, develop the ability to build and assess data-based models, and execute statistical analyses with professional statistical software; develop relevant programming abilities and skill in data management.
- Develop practical skills and professional experience through experiences with practical and internships in a professional working environment to help students acquire practical employment skills.
- Develop cooperative and teamwork skills through projects; identify social, legal, and ethical issues in data science and apply a professional code of ethics relevant to the data science profession.