Royal University of Phnom Penh: Excellence in Education
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Department of Information Technology Engineering

Introduction

Bachelor of Information Technology Engineering (ITE) program at Faculty of Engineering, Royal University of Phnom Penh is designed to provide high-quality training in Information Technology which meets the current and future labor market requirements by emphasizing a broad foundation of computer organization, software, and mathematics both theoretical and practical aspects. With elective courses such as Artificial Intelligence, Computer Graphics, Game Development, Data Mining, and Security, it enables students to be capable to develop diverse industrial applications. At ITE, students are required to do practicum from year 2 to year 4 with real world problem. Doing practicum plays a crucial role in training students to acquire valuable experience required skill sets and ability to be ready for work at Tech Company after graduation. The curriculum of Information Technology Engineering Department is designed for our students with abilities to use new technologies and theories to design and develop computer software. During first and second year, students study about foundation theories of computer software & network engineering. For third & forth year, they will have more advance courses such as Object-Oriented Analysis and Design, Product Design, Network Engineering, Database Design, Operating System, Mobile Application Development, Artificial Intelligence, Commuter Graphic, and Practicum (to build a real product). From the end of third year students must go for internship in private or pubic organizations. Lecturers and Researchers of IT Engineering department mostly graduated from abroad, the key success of our team is to give more homework/assignment/project to students, and let them hand on to build a real thing by applying technologies and theories. Thus, students in our department they will have experiences in team work, developing application, make presentation, and critical thinking.

Optional Tracks

Last semester Optional tracks

  • Coursework

    is for students who would like to conduct coursework and final project.

  • Research Thesis

    is for outstanding student who would like to conduct their research project under the supervision of BE faculty members.

  • Extended Training

    is designed for students who would like to participate in a long training period (for the entire semester) under a co-operative training program with companies or organizations.

Choose the optional track that best aligns with your academic and career goals.

Prospect

IT Engineering Prospect

Research Knowledge

Cutting-edge research areas provided by IT Engineering department

  • Artificial Intelligence
  • Data Mining
  • Image Processing and Analysis
  • Computer Vision
  • 3D Modeling and Computer Graphics
  • Natural Language Processing
  • ICT for Education

Career Opportunities

Professional paths available based on IT Engineering department knowledge

  • Agile Software Developer
  • Agile Web Developer
  • Agile Mobile Developer
  • Fullstack Developer
  • Game Developer
  • Network & Security Engineer
  • Data Engineer

Evaluation & Graduation

Assessment of study will be performed at the end of each semester. Evaluation will be shown as the Grade Point Average (GPA) (4.00 scale) and the Cumulative Grade Point Average (4.00 scale).

SCORE
GPA
GRADE
85-100
4.0
A = Excerllent
80-84
3.5
B+ = Very Good
70-79
3.0
B = Good
65-69
2.5
C+ = Fairly good
50-64
2.0
C = Fair
45-49
1.5
D = Poor
<40
0.0
E = Fail

Curriculum

The curriculum of Information Technology Engineering Department is designed for our students with abilities to use new technologies and theories to design and develop computer software

L = Lecture, P = Practice, S = Self Study,

Foundation

Semester I

Subject
Credit
Hours (L - P - S)
Mathematics I
3.0
(3-0)
Computer Fundamental
3.0
(2-2)
Physics
3.0
(3-0)
Civilization
1.5
(1.5-0)
History
1.5
(1.5-0)
Critical Thinking & Personal Development
2.0
(2-0)
Academic skill
2.0
(2-0)
General English I
4.0
(4-0)

Semester I​I

Subject
Credit
Hours (L - P - S)
Mathematics II
3.0
(3-0)
Technical Drawing
3.0
(2-2)
Basic Programming Language
3.0
(2-2)
Introduction to statistics
3.0
(2-2)
Introduction to electrical Engineering
3.0
(2-2)
Philosophy
1.5
(1.5-0)
Sociology
1.5
(1.5-0)
General English II
4.0
(4-0)

Second Year

Semester I

Subject
Credit
Hours (L - P - S)
Advanced Programming Language I
3.0
(1.5-2)
Data Structure and Algorithm I
3.0
(1.5-2)
Data Communication I
3.0
(3-0)
Probability and Statistics
3.0
(1.5-0)
Mathematic III
3.0
(3-0)
General English III
4.0
(4-0)
Project Practicum
1.0
(0-4)

Semester II

Subject
Credit
Hours (L - P - S)
Advanced Programming Language II
3.0
(1.5-2)
Data Structure and Algorithm II
3.0
(1.5-2)
Data Communication II
3.0
(3-0)
Database I
3.0
(1.5-0)
Discrete Math
3.0
(3-0)
General English IV
4.0
(4-0)
Project Practicum
1.0
(0-4)

Third Year

Semester I

Subject
Credit
Hours (L - P - S)
Network Engineering I
3.0
(1.5-2)
Web Technologies and Cloud Computing I
3.0
(1.5-2)
Operating System
3.0
(1.5-2)
Database II
3.0
(1.5-0)
Object Oriented Analysis and Design
3.0
(1.5-2)
General English V
4.0
(4-0)
Project Practicum
1.0
(0-4)

Semester II

Subject
Credit
Hours (L - P - S)
Network Engineering II
3.0
(1.5-2)
Web Technologies and Cloud Computing II
3.0
(1.5-2)
Mobile Application Development I
3.0
(1.5-2)
Software Engineering
3.0
(3-0)
Introduction to Computer Graphic
3.0
(1.5-2)
General English V
4.0
(4-0)
Project Practicum
1.0
(0-4)

Fourth Year

Semester I

Subject
Credit
Hours (L - P - S)
Mobile Application Development II
3.0
(1.5-2)
Management Information System
3.0
(3-0)
Introduction to Data Mining
3.0
(3-0)
UI/UX Design
3.0
(1.5-2)
Information Security
3.0
(3-0)
Entrepretneurship
3.0
(3-0)
Final Project
1.0
(0-2)

Semester II

Option 1

Subject
Credit
Hours (L - P - S)
Fin Tech
3.0
(1.5-2)
Artificial Intelligence
3.0
(3-0)
Introduction to Cryptography
3.0
(1.5-2)
Professionalism Computing & Ethics
3.0
(3-0)
Project Report
5.0
(0-10)

Option 2

Subject
Credit
Hours (L - P - S)
Internship (Hard Skill) & Thesis (GPA>3.5)
14.0
-

Activities

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