| ILO | Description of ILO |
|---|---|
| ILO-1 | Able to master fundamental mathematical and statistical concepts and the methodology used in collecting, analyzing and interpreting data which is the basis of Data Science. |
| ILO-2 | Able to master data collection techniques, data cleaning, data transformation, and data storage using tools and software to manage data. |
| ILO-3 | Able to use complex data analysis and appropriate models to solve problems in certain fields by carrying out data exploration, statistical analysis, and applying various modeling techniques such as regression, classification, clustering, and time series analysis. |
| ILO-4 | Having strong programming skills in programming languages used in Data Science with mastery of writing efficient code, understanding data structures, algorithms, and using relevant libraries for data analysis. |
| ILO-5 | Able to develop multidisciplinary, interdisciplinary and especially transdisciplinary research with various tools and platforms in Data Science in certain scientific fields and the resulting innovations can be published in reputable international scientific journals. |
| ILO-6 | Able to create effective data visualizations and convey analysis results clearly and informatively in the form of graphs, diagrams and dashboards that can assist in data interpretation and decision making. |
| ILO-7 | Able to apply ethical principles and awareness of ethical issues related to data collection, storage, analysis and use, as well as comply with applicable regulations and standards regarding data privacy. |
| ILO-8 | Able to work effectively in a team and collaborate with individuals from various disciplines to achieve common goals. |
| ILO-9 | Having the ability to develop new knowledge, follow technological developments, and apply lifelong learning in the field of Data Science is expected to become a professional who is competent, ethical, and ready to face challenges in the digital era. |
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