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: data mining and statistical analysis, inferential and predictive modeling, 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 skills in data management.
- Apply skills and knowledge in a collaborative and professional setting through projects, practica and internships experiences.
- Identify social, legal, and ethical issues in data science and apply a professional code of ethics relevant to the data science profession.
- Demonstrate a capacity for critical thinking and communicating complex statistical methods to managers and other audience.