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

  • 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 :

  • Database Administrator
  • Business Intelligence Developer
  • Business Analytic
  • Data Analyst
  • Machine Learning Engineer
  • Data Modeling Specialist

Program Structure

Foundation Year

Term 1

  • IT Essentials
  • Computer Programming Fundamentals
  • Personal Development & Critical thinking
  • Visual Art
  • Linear Algebra
  • Intensive English Program
  • Seminar On Emerging New Technologies I

 

Term 2

  • Discrete Mathematics
  • Information Literacy
  • Advanced Programming
  • Introduction To Networks (CCNA I)
  • Probability & Statistics
  • Intensive English Program
  • Seminar On Emerging New Technologies II

 

Volunteer

  • KHoding Hero
  • Cambodia ICT Volunteer
  • CODE-C

 

 

 

 

Year 2

Term 1

  • Advanced Algorithms
  • Basic Robotic
  • Computer Architecture
  • Web Design
  • Soft Skill
  • Seminar on Emerging Technologies

 

Term 2

  • Database Analysis and Design
  • OOP (C++)
  • Operating System
  • Web Application (PHP Laravel)
  • Soft Skill (Entrepreneurship)
  • Seminar on Emerging Technologies

 

Term 3

  • Database Administration
  • Software Engineering
  • Automata
  • Capstone Project 1
  • Seminar on Emerging Technologies

 

Year 3

Term 1

  • Information Visualization (Data Visualization Using PBI)
  • Foundation of Data Science
  • Research Methodology
  • Information Web Retrieval Analytics
  • Soft Skill (Career Preparation)
  • Seminar on Emerging Technologies

Term 2

 

 

Internship I 

 

 

 

Term 3

  • Statistical Data Analysis
  • Object Relational and NoSQL Databases
  • Cyber Security
  • Data Integration and Ware Housing
  • Software Project Management
  • Seminar on Emerging Technologies

 

Year 4

Term 1

  • Advances Analytics (FinTech, Marketing Consumer, Banking, Telecom, etc… ) Capstone 2
  • Artificial Intelligence
  • Big Data Processing Technique and Platforms
  • Capstone Project II
  • Soft Skill (Marketing)
  • Seminar on Emerging Technologies

Term 2

 

 

Internship II