| Knowledge and Understanding |
| K1 | Developing a solid understanding of foundational statistical concepts such as probability theory, experimental design, probability distributions, and statistical methods typically applied in data analysis. (Specialist) |
| K2 | Having a basic understanding of a broad range of statistical methods, including descriptive statistics and inferential statistics. (Specialist) |
| K3 | Learning about different methods of data collection, sampling techniques, cleaning, and analyzing data using appropriate statistical techniques.
(Specialist) |
| K4 | Having the capability to develop, fit, and interpret statistical models to analyze relationships between variables, make predictions, and test hypotheses. (Specialist) |
| K5 | Being aware of the diverse applications of statistics across various fields, including business, economics, engineering, social sciences, healthcare, and environmental science. (Specialist) |
| Skills |
| S1 | Acquire skills in collecting, cleaning, and analyzing data using appropriate statistical models to address real-world problems and make predictions.
( (Critic) ) |
| S2 | Having expertise in utilizing statistical software for conducting data analysis, encompassing tasks such as data cleansing, exploration, visualization, and interpreting outcomes. ( (Technical) ) |
| S3 | Ability to interpret and write, through written reports and oral presentations,
the results of the decision-making process. ( (Pioneer/Innovator) ) |
| S4 | Collaborating and consulting with peers and faculty on group projects, research studies, contribute expertise to collective problem-solving efforts, and communicate and coordinate with team members to achieve common goals. ( Active ) |
| Values, Autonomy, and Responsibility |
| V1 | Acquire proficiency in communication and participation, along with the capability to collaborate effectively in teams and make appropriate decisions. ( Leader ) |
| V2 | Acquire self-learning, continuous development, and time management skills. ( (Ambitious) ) |
| V3 | Apply standards of integrity, transparency, and ethical behavior to evaluate the validity and reliability of statistical analyses and draw meaningful conclusions. ( (Honest) ) |
