SPECIALIZED IN DATA SCIENCE

Program Overview
Data science is the process of using a large amount of data and helping businesses make the right decision. Our program is a launchpad for starting or transitioning your career in data science. It combines business acumen, mathematics, statistical models, machine learning techniques, and algorithms in order to provide our students with deep technical knowledge of the fundamentals and core concepts of data science, which are essential for working in any industry.
Learning Outcomes
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- Explain and use appropriate and relevant, fundamental and applied mathematical and statistical knowledge, methodologies and modern computational tools
- Analyze and manage large amounts of data arising from various sources
- Evaluate and compare solutions to data analysis problems on the basis of organizational and user requirements
- Design and implement data analytic techniques that accommodate specified requirements and constraints, based on analysis or modeling or requirements specification
- Be able to solve the real business problems to make the right decision.
Future Career
Graduates will be ready to work in roles such as :
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- Database Administrator
- Business Intelligence Developer
- Business Analytic
- Data Analyst
- Machine Learning Engineer
- Data Modeling Specialist
Program Structure
Foundation Year
Term 1
- Computer Programming Fundamentals
- Linear Algebra
- IT Essentials
- Visual Art
- Personal Development & Critical thinking
- English Support Program
- Seminar on Emerging Technologies
Term 2
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- Introduction To Networks
- Discrete Mathematics
- Probability & Statistics
- Advanced Programming
- Information Literacy
- English Support Program
- Seminar on Emerging Technologies
Volunteer (Optional)
- KHoding Hero
- Cambodia ICT Volunteer
- CODE-C
Year 2
Term 1
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- Advanced Algorithms
- Basic Robotic
- Object-Oriented Programming
- Web Design
- Introduction to Effective Business Communication
- Seminar on Emerging Technologies
Term 2
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- Database Analysis and Design
- Computer Architecture
- Operating System
- Web Application
- Management
- Seminar on Emerging Technologies
Term 3
- Database Administration
- Software Engineering
- Automata
- Entrepreneurship
- Seminar on Emerging Technologies
Year 3
Term 1
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- Cloud Computing
- Statistical Data Analysis
- Project Management
- Research Methodology
- Marketing
- Seminar on Emerging Technologies
Term 2
- Capstone Project I
- Natural Language Processing
- Data Visualization
- Fundamentals of Machine Learning
- Career Readiness
- Seminar on Emerging Technologies
Term 3
Internship I
Year 4
Term 1
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- Computer Vision
- Artificial Intelligence
- Information Web Retrieval Analytics
- Capstone Project II
- Leadership
- Seminar on Emerging Technologies
Term 2
Internship II