Program learning outcome: Data Science & Engineering
After graduation, students will be able to:
I. Technical Knowledge and Reasoning
- Understand fundamental theory of basic to explain the technical skill in computational processes or models
- Explain the process or flow of the system working
Personal and Professional Skills and Attributes
a). Engineering Reasoning and Problem Solving
- Select appropriate datasets and data representation methods for analysis
- Develop scalable data pipelines to store, extract, transform, load and integrate unstructured data from various sources
- Test data pipelines for scalability and reliability to process high data volume, variety and velocity
- Develop codes to package the AI/ML models for scaling
- Implement and monitor data security and privacy measures on existing data solutions
- Develop prototypes and Proof-of-Concepts for data solutions
- Identify bugs during deployment and create bug fixes to address issues
- Develop tools to improve data flows between internal and/or external systems and the data warehouse, as well as to automate the data collection and analysis processes, data releasing and reporting tools
b). Personal Skills and Attitudes
- Creative thinking – create innovation idea to solve real world problem by using technology related to data and artificial intelligence
PROFESSIONAL SKILLS AND ATTITUDES
- Commit to lifelong learning
Interpersonal Skills: Teamwork and Communication
- Form effective team and operate as team (cross-cutting specialist)
- Oral presentation and inter-personal communication
- English Language (reading, write, listening and speaking)
Contact Info
Program Director:
- Name: Mr. Srun Sovila
- Email: srun.sovila@rupp.edu.kh
- Tel: (+855) 12 894-325, 096 6894-325
- Room #103, STEM Building, Campus I
Student Life
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