Explain data problems arising in different areas of science, technology, and society. (Knowledge)

Model the problem with learned mathematics theories and models (Execution)

Apply different mathematical tools to model data problems in application areas. (Execution)

Design and implement efficient algorithms to model the data and solve the problem. (Execution)

Evaluate information and make independent judgments through constructing and inferencing with appropriate data models. (Judgement)

Communicate effectively about data science to both laymen and experts. (Communication)

Demonstrate self-direction in tackling and solving problems and act autonomously in planning and implementing tasks. (Autonomy)

Use a global perspective in conjunction with data analytic techniques to address issues of importance in science, technology, and society. (International outlook)