Major:
Award Title:
Aims of Major
This major is to provide graduates in data science with essential training of quantitative knowledge, statistical theory, machine learning technology for the effective use and analysis of big and complex data for real-world applications. The primal goal of this data science major is to train a generation of students who are equally versed in data processing, data analysis, predictive modeling, and computational techniques and enable them the skills for the challenges in future that involve making sense of complex data to realize planning and decision making. The major offers a suite of courses and programs to equip and empower students of quantitative background to become professionals and practitioners of rigorous, actionable, and ethical data science. To this end, besides providing rigorous education about data science models and methods, the major also emphasizes the interdisciplinary training and the expertise of particular subject domains as well as communication skills and ethical awareness.
Intended Learning Outcomes of Major (MILOs)
Upon successful completion of this major, students should be able to:
- Integrate the theories and principles of mathematical, statistical, computing foundations for the data science.
- Gain computing expertise with data collection, data analysing, data visualization, statistical analysis and machine learning.
- Build skills and intelligence of organizing and analysing data with a level of flexibility within different application modules.
- Use a variety of software packages to conduct data curation, modeling, computation and inference and draw conclusions and actionable insights.
- Create and formulate the data-driven models in practice; master the spectrum of the data science life cycle and the connection to specific domain knowledge and business models.
- Acquire work related experience and effective communication skills necessary to work within a team in an international and culturally diverse workplace.
- Recognize the social responsibility and ethic awareness for the development of the data-driven technologies in the modern era of big data.
Credit Units Required for Graduation
| Degree Requirements | Normative 4-year Degree |
|---|---|
| University requirement | 26 credit units |
| Gateway Education requirement | 27 credit units |
| College/School requirement | 6 credit units |
| Major requirement | 64 credit units (Core courses: 43 credit units Elective courses: 21 credit units) |
| Free electives / Minor (optional) | 18 credit units |
| Minimum number of credit units required for the award | 141 credit units |
| Maximum number of credit units permitted | 168 credit units |