Bachelor of Science in Information Technology – Networks & IoT Engineering Track (NIE)

Level One

No	Course Code	Course Title	Credit Hours	Previous Requirement
1	ENGS 100	English	6	-
2	MATH 101	Differential Calculus	3	-
3	CHEM 101	General Chemistry	4	-
4	ARAB 100	Writing Skills	2	-
5	ENT 101	Entrepreneurship	1	-
Total			16

Level Two

No	Course Code	Course Title	Credit Hours	Previous Requirement
1	ENGS 110	English	6	ENGS 100
2	STAT 101	Introduction to Statistics	3	-
3	CT 101	IT Skills	3	-
4	EPH 101	Fitness and Health Education	1	-
5	CT 101	University Skills	3	-
Total			16

Level Three

No	Course Code	Course Title	Credit Hours	Previous Requirement
1	CSC 111	Computer Programming 1	4	CT 101
2	IT 210	Information Technology Fundamentals	3	-
3	IT 219	Physics for IT	3	-
4	MATH151	Discrete Mathematics	3	Math 101
5	IC 107	Professional Ethics	2	-
Total			15

Level Four

No	Course Code	Course Title	Credit Hours	Previous Requirement
1	CSC 113	Computer Programming 2	4	CSC 111
2	IT 214	User Experience Design	3	CSC111
3	IT 222	Database Principles	3	IT210
4	IT 223	Computer Organization & Architecture	3	Math 151 + IT219
5	MATH106	Integral Calculus	3	Math 101
6	IC 108	Current Issues	2	-
Total			18

Level Five

No	Course Code	Course Title	Credit Hours	Previous Requirement
1	CSC 212	Data Structures	3	CSC 113
2	IT 312	Web Applications Engineering	3	CSC 111
3	IT 324	Information Security	3	-
4	IT 326	Data Mining	3	-
5	IT 328	Network Principles	4	IT219
Total			16

Level Sex

No	Course Code	Course Title	Credit Hours	Previous Requirement
1	IT 381	Wireless & Mobile Computing	3	IT 328
2	IT 329	Advanced Web Technologies	3	IT 328+ IT 312
3	IT 320	Practical Software Engineering	3	IT 214
4	CSC 227	Operating Systems	3	CSC 212
5	Math244	Linear Algebra	3	Math106
Total			16

Level Seven

No	Course Code	Course Title	Credit Hours	Previous Requirement
1	IT 481	Introduction to IoT	3	IT 328
2	IT 423	Introduction to Project Management	3	IT 320
3	IT 426	Artificial Intelligence Systems	3	CSC212 + Math 244
4	IT 479	Practical Training	2	completing at least 90 credit hours
5	IT 496	Project 1	3	IT320, CSC212 + completing at least 90 credit hours
Total			14

Level Eight

No	Course Code	Course Title	Credit Hours	Previous Requirement
1	IT 427	IT Entrepreneurship & Innovation	3	IT 320
2	IT 497	Project 2	3	IT 496
Total			6

Elective Courses

No	Course Code	Course Title	Credit Hours	Previous Requirement
1	IT472	Cybercrime and Digital forensics	3	IT 371
2	IT 473	System Security	3	IT 371
3	IT 474	Network Security	3	IT 324
4	IT 475	Information Assurance Compliance and Audit	3	IT 471
5	IT 476	Selected Topics in Cyber Security	3	IT 371
6	IT 462	Big Data Systems	3	IT 326
7	IT 465	Data Analytics & Visualization.	3	IT362
8	IT 466	Selected Topics in Data Science and Artificial Intelligence	3	IT 362
9	IT 467	Advanced Artificial Intelligence	3	IT426, IT461
10	IT 468	Applied Computer Vision	3	IT 461
11	IT 469	Human Language Technologies	3	IT 461
12	IT 482	Sensor and Ad hoc Networks	3	IT381
13	IT 483	IoT Services & Applications	3	IT481, IT312
14	IT 484	Cloud Computing	3	IT328
15	IT 485	Robotics fundamentals	3	-
16	IT 486	Selected Topics in Networks &IoT	3	IT481

Pre/Co-requisite Graph

Bachelor of Science in Information Technology - Cyber Security Track (CYS)

The program has been approved by the National Cybersecurity Authority under the “Cyber-Education Framework Alignment Decision” for a period of five years, from November 3, 2024 to November 3, 2029.

Level One

No	Course Code	Course Title	Credit Hours	Previous Requirement
1	ENGS 100	English	6	-
2	MATH 101	Differential Calculus	3	-
3	CHEM 101	General Chemistry	4	-
4	ARAB 100	Writing Skills	2	-
5	ENT 101	Entrepreneurship	1	-
Total			16

Level Two

No	Course Code	Course Title	Credit Hours	Previous Requirement
1	ENGS 110	English	6	ENGS 100
2	STAT 101	Introduction to Statistics	3	-
3	CT 101	IT Skills	3	-
4	EPH 101	Fitness and Health Education	1	-
5	CT 101	University Skills	3	-
Total			16

Level Three

No	Course Code	Course Title	Credit Hours	Previous Requirement
1	CSC 111	Computer Programming 1	4	CT 101
2	IT 210	Information Technology Fundamentals	3	-
3	IT 219	Physics for IT	3	-
4	MATH151	Discrete Mathematics	3	Math 101
5	IC 107	Professional Ethics	2	-
Total			15

Level Four

No	Course Code	Course Title	Credit Hours	Previous Requirement
1	CSC 113	Computer Programming 2	4	CSC 111
2	IT 214	User Experience Design	3	CSC111
3	IT 222	Database Principles	3	IT210
4	IT 223	Computer Organization & Architecture	3	Math 151 + IT219
5	MATH106	Integral Calculus	3	Math 101
6	IC 108	Current Issues	2	-
Total			18

Level Five

No	Course Code	Course Title	Credit Hours	Previous Requirement
1	CSC 212	Data Structures	3	CSC 113
2	IT 312	Web Applications Engineering	3	CSC 111
3	IT 324	Information Security	3	-
4	IT 326	Data Mining	3	-
5	IT 328	Network Principles	4	IT219
Total			16

Level Sex

No	Course Code	Course Title	Credit Hours	Previous Requirement
1	IT 371	Application Security	3	IT 324
2	IT 329	Advanced Web Technologies	3	IT 328+ IT 312
3	IT 320	Practical Software Engineering	3	IT 214
4	CSC 227	Operating Systems	3	CSC 212
5	Math244	Linear Algebra	3	Math106
Total			16

Level Seven

No	Course Code	Course Title	Credit Hours	Previous Requirement
1	IT 471	Cyber Security Governance	3	IT 324
2	IT 423	Introduction to Project Management	3	IT 320
3	IT 426	Artificial Intelligence Systems	3	CSC212 + Math 244
4	IT 479	Practical Training	2	completing at least 90 credit hours
5	IT 496	Project 1	3	IT320, CSC212 + completing at least 90 credit hours
Total			14

Level Eight

No	Course Code	Course Title	Credit Hours	Previous Requirement
1	IT 427	IT Entrepreneurship & Innovation	3	IT 320
2	IT 497	Project 2	3	IT 496
Total			6

Elective Courses

No	Course Code	Course Title	Credit Hours	Previous Requirement
1	IT472	Cybercrime and Digital forensics	3	IT 371
2	IT 473	System Security	3	IT 371
3	IT 474	Network Security	3	IT 324
4	IT 475	Information Assurance Compliance and Audit	3	IT 471
5	IT 476	Selected Topics in Cyber Security	3	IT 371
6	IT 462	Big Data Systems	3	IT 326
7	IT 465	Data Analytics & Visualization.	3	IT362
8	IT 466	Selected Topics in Data Science and Artificial Intelligence	3	IT 362
9	IT 467	Advanced Artificial Intelligence	3	IT426, IT461
10	IT 468	Applied Computer Vision	3	IT 461
11	IT 469	Human Language Technologies	3	IT 461
12	IT 482	Sensor and Ad hoc Networks	3	IT381
13	IT 483	IoT Services & Applications	3	IT481, IT312
14	IT 484	Cloud Computing	3	IT328
15	IT 485	Robotics fundamentals	3	-
16	IT 486	Selected Topics in Networks &IoT	3	IT481

Pre/Co-requisite Graph

Bachelor of Science in Information Technology – Data Science and Artificial Intelligence Track (DSAI)

Level One

No	Course Code	Course Title	Credit Hours	Previous Requirement
1	ENGS 100	English	6	-
2	MATH 101	Differential Calculus	3	-
3	CHEM 101	General Chemistry	4	-
4	ARAB 100	Writing Skills	2	-
5	ENT 101	Entrepreneurship	1	-
Total			16

Level Two

No	Course Code	Course Title	Credit Hours	Previous Requirement
1	ENGS 110	English	6	ENGS 100
2	STAT 101	Introduction to Statistics	3	-
3	CT 101	IT Skills	3	-
4	EPH 101	Fitness and Health Education	1	-
5	CT 101	University Skills	3	-
Total			16

Level Three

No	Course Code	Course Title	Credit Hours	Previous Requirement
1	CSC 111	Computer Programming 1	4	CT 101
2	IT 210	Information Technology Fundamentals	3	-
3	IT 219	Physics for IT	3	-
4	MATH151	Discrete Mathematics	3	Math 101
5	IC 107	Professional Ethics	2	-
Total			15

Level Four

No	Course Code	Course Title	Credit Hours	Previous Requirement
1	CSC 113	Computer Programming 2	4	CSC 111
2	IT 214	User Experience Design	3	CSC111
3	IT 222	Database Principles	3	IT210
4	IT 223	Computer Organization & Architecture	3	Math 151 + IT219
5	MATH106	Integral Calculus	3	Math 101
6	IC 108	Current Issues	2	-
Total			18

Level Five

No	Course Code	Course Title	Credit Hours	Previous Requirement
1	CSC 212	Data Structures	3	CSC 113
2	IT 312	Web Applications Engineering	3	CSC 111
3	IT 324	Information Security	3	-
4	IT 326	Data Mining	3	-
5	IT 328	Network Principles	4	IT219
Total			16

Level Sex

No	Course Code	Course Title	Credit Hours	Previous Requirement
1	IT 362	Principles of Data Science	3	CSC 212
2	IT 329	Advanced Web Technologies	3	IT 328+ IT 312
3	IT 320	Practical Software Engineering	3	IT 214
4	CSC 227	Operating Systems	3	CSC 212
5	Math244	Linear Algebra	3	Math106
Total			16

Level Seven

No	Course Code	Course Title	Credit Hours	Previous Requirement
1	IT 461	Practical Machine Learning	3	IT 326
2	IT 423	Introduction to Project Management	3	IT 320
3	IT 426	Artificial Intelligence Systems	3	CSC212 + Math 244
4	IT 479	Practical Training	2	completing at least 90 credit hours
5	IT 496	Project 1	3	IT320, CSC212 + completing at least 90 credit hours
Total			14

Level Eight

No	Course Code	Course Title	Credit Hours	Previous Requirement
1	IT 427	IT Entrepreneurship & Innovation	3	IT 320
2	IT 497	Project 2	3	IT 496
Total			6

Elective Courses

No	Course Code	Course Title	Credit Hours	Previous Requirement
1	IT472	Cybercrime and Digital forensics	3	IT 371
2	IT 473	System Security	3	IT 371
3	IT 474	Network Security	3	IT 324
4	IT 475	Information Assurance Compliance and Audit	3	IT 471
5	IT 476	Selected Topics in Cyber Security	3	IT 371
6	IT 462	Big Data Systems	3	IT 326
7	IT 465	Data Analytics & Visualization.	3	IT362
8	IT 466	Selected Topics in Data Science and Artificial Intelligence	3	IT 362
9	IT 467	Advanced Artificial Intelligence	3	IT426, IT461
10	IT 468	Applied Computer Vision	3	IT 461
11	IT 469	Human Language Technologies	3	IT 461
12	IT 482	Sensor and Ad hoc Networks	3	IT381
13	IT 483	IoT Services & Applications	3	IT481, IT312
14	IT 484	Cloud Computing	3	IT328
15	IT 485	Robotics fundamentals	3	-
16	IT 486	Selected Topics in Networks &IoT	3	IT481

Pre/Co-requisite Graph

Bachelor of Science in Information Technology

M.Sc. in Computer Engineering

College of Computer and Information Sciences — King Saud University

Master of Science in Computer Engineering

Department of Computer Engineering · Graduate Program

Jump to: Vision

Graduation Requirements

Program Vision

Regional leadership and excellence in the field of Computer Engineering and the management of related research, in addition to producing graduates who will become pioneers in exploring new challenges in Computer Engineering and related fields.

Program Mission

The Department of Computer Engineering is committed to providing students with a high level of education in Computer Engineering sciences. It aspires to foster creativity and a team-work spirit in a student-centered learning environment. The department also strives to develop innovative research and to participate in leading the Information and Communication Technology (ICT) sector in the Kingdom of Saudi Arabia, in order to facilitate the Kingdom's transformation into a knowledge-based economy.

Program Objectives

Prepare graduates of high quality and expertise in the field of Computer Engineering.

Advance scientific and applied research.

Provide training programs to qualify engineers and practitioners working in the field of Computer Engineering.

Provide consultations and develop suitable solutions.

Program Outcomes

Graduates of the Computer Engineering department will possess computing skills, as well as the ability to:

Apply knowledge of mathematics, science, and engineering.

Design and conduct experiments, as well as analyze and interpret data.

Design systems and their components, or process them to meet desired needs.

Identify, formulate, and solve engineering problems.

Admission Requirements

In addition to the admission requirements stated in the Unified Regulations of Graduate Studies in Saudi universities and the regulatory and executive rules and procedures of graduate studies at King Saud University, the department requires the following:

The applicant must meet the terms stated in the unified regulations of graduate studies in Saudi Universities.

The applicant must meet the terms stated in the unified regulations of graduate studies at King Saud University.

Hold a bachelor's degree with a regular study program from King Saud University or its equivalent in one of the following: Computer Engineering, Computer Science, Electrical Engineering, Software Engineering, Information Technology, or other computing disciplines.

Hold a minimum GPA of 3.5 out of 5 or equivalent in Computer Engineering or Electrical Engineering, or a minimum GPA of 4 out of 5 or equivalent in other disciplines.

A minimum GPA is required as follows:

3.5 / 5.0

Computer Engineering & Electrical Engineering graduates

4.0 / 5.0

Graduates from other majors

Minimum standardized test scores required:

144

GRE Quantitative
(or equivalent: 75 Qiyas)

45

TOEFL-IBT
(450 PBT / 133 CBT)

5

IELTS

67

STEP

Graduation Requirements

The student must successfully complete (25) credit hours from the master's program courses.

Successful completion of the master's thesis.

Program Structure

The total number of required credit hours is (25), in addition to (1) credit hour for the thesis, distributed as follows:

Course Type	Number of Courses	Required Credit Hours
Compulsory Courses	6	(13) Credit Hours
Elective Courses	4	(12) Credit Hours
Thesis	1	(1) Credit Hour for the Thesis
Total	11	(25) Credit Hours + (1) Credit Hour for the Thesis

Study Plan

Compulsory — Level 1

Course Code	Course Title	Credit Hours	Prerequisite
CEN 521	Advanced Computer Architecture	3	—
CEN 531	Computer Networks	3	—
Subtotal		6 Credit Hours

Compulsory — Level 2

Course Code	Course Title	Credit Hours	Prerequisite
CEN 543	Digital Signal Processing (1)	3	—
Subtotal		3 Credit Hours

Compulsory — Level 3

Course Code	Course Title	Credit Hours	Prerequisite
CEN 591	Seminar in Computer Engineering	1	—
CEN 592	Independent Study	2	—
Subtotal		3 Credit Hours

Compulsory — Level 4

Course Code	Course Title	Credit Hours	Prerequisite
CEN 596	Thesis Proposal Preparation	1	(12 credit hours)
Subtotal		1 Credit Hour

Compulsory — Level 6 (Thesis)

Course Code	Course Title	Credit Hours	Prerequisite
CEN 600	Thesis	1	CEN 596
Subtotal		1 Credit Hour

Elective Courses — List (1) — The student selects one course of at least 3 credit hours

Course Code	Course Title	Credit Hours	Prerequisite
CEN 570	Simulation and Modeling	3 (3+0)	—
CEN 571	Stochastic Processes	3 (3+0)	—
CEN 573	Algorithms Analysis and Complexity Theory	3 (3+0)	—
CEN 576	Intelligent Systems	3 (3+0)	—
Subtotal (one course)		3 Credit Hours

Elective Courses — List (2) — The student selects three courses of at least 9 credit hours

Course Code	Course Title	Credit Hours	Prerequisite
CEN 524	Advanced Computer Arithmetic	3 (3+0)	CEN 521
CEN 526	Advanced Embedded Systems	3 (3+0)	CEN 521
CEN 527	Parallel Computing	3 (3+0)	CEN 521
CEN 528	Processor Design	3 (3+0)	CEN 521
CEN 532	Mobile Computing and Wireless Networks	3 (3+0)	CEN 531
CEN 533	Performance Analysis of Computer Networks	3 (3+0)	CEN 531
CEN 534	Wireless Sensor Networks	3 (3+0)	CEN 531
CEN 546	Digital Image Processing	3 (3+0)	CEN 543
CEN 549	Digital Speech Processing	3 (3+0)	CEN 543
CEN 552	Mobile Robots	3 (3+0)	CEN 543
CEN 553	Selected Topics in Computer Engineering	3 (3+0)	—
CEN 586	Network Security	3 (3+0)	CEN 531
Subtotal (three courses)		9 Credit Hours

Course Schedule

		First Semester	Second Semester
Compulsory Courses		CEN 543	CEN 543
		CEN 531	CEN 531
		CEN 521	CEN 521
			CEN 591
Elective List (1)		CEN 570	CEN 571
		CEN 573	CEN 576
Elective List (2)	Signals & Systems	CEN 549	CEN 546
		CEN 552
	Computer Networks	CEN 533	CEN 586
		CEN 534 or CEN 553	CEN 532
	Computer Architecture	CEN 524 or CEN 528	CEN 526 or CEN 527

B.Sc. in Computer Engineering

Program Information

The B.Sc. Program In Computer Engineering Is Accredited By The Engineering Accreditati on Commission (EAC) Of ABET. The graduate performs setting up standards for computer systems, providing technical consultation, as well as supervising installation, configuration, and operation of equipment. In addition, the graduate should be capable to design, develop, manage, and monitor the performance of computer networks. With the Kingdom's entry to the manufacturing era, the graduates will take an essential role in designing computer systems and computer networks. The graduate will design control systems for automated tasks in laboratories and factories.

Research

This group research interest is focused on computer architecture, digital design, digital system testing, parallel and vector processors, embedded systems, and VLSI design.

Faculty Members:

Prof. Mansour A. AlZuair
Prof. Musaed A. AlHussain
Dr. Hesham A. AlTwaijry
Dr. Belgacem Ben Youssef
Dr. Mujahed C. Mekhallalati
Dr. Esa A. AlGhonaim
Dr. Ahmad I. AlHammad
Dr. Ayed Alqahtani

This group research interest is focused on computer networks design, wireless networks, cryptography, and applications.

Faculty Members:

Prof. Sami Alwakeel
Prof. Saad Haj Bakry
Prof. Abdulaziz S. AlMazyad
Prof. Salman AlQahtani
Prof. Mohammed A. Arafa
Prof. Mohammed J. Alenazi
Prof. Ridha M. Ouni
Dr. Maazen S. Alsabaan
Dr. Aasem Alyahya
Dr. Walid K. AlGhanem
Dr. Abdulmohsen Mutairi
Dr. Abdulrahman A. Almutairi
Dr. Naif Saleh Almakhdhub
Dr. Fahad M. Algahtani

This group research interest is focused on image processing, robotics, digital signal processing, and applications.

Faculty Members:

Prof. Mansour M. AlSulaiman
Prof. Ramdane Hedjar
Prof. Yousef A. AlOtaibi
Prof. Yakoub Bazi
Prof. Naif A. Alajlan
Prof. Ghulam Muhammad
Prof. Abdul Wadood Abdul Waheed
Dr. Nassim F. Ammour
Dr. Bander Jabr
Dr. Ibrahim M. Alkanhal

Research

CE Research

Documents Resources

Master of science in Information Technology

Program

College of Computer and information science

Bachelor of Science in Information Technology – Networks & IoT Engineering Track (NIE)

Bachelor of Science in Information Technology - Cyber Security Track (CYS)

Bachelor of Science in Information Technology – Data Science and Artificial Intelligence Track (DSAI)

Program Vision

Program Mission

Program Objectives

Program Outcomes

Admission Requirements

Graduation Requirements

Program Structure

Study Plan

Course Schedule

Resources

Program Information

This group research interest is focused on computer architecture, digital design, digital system testing, parallel and vector processors, embedded systems, and VLSI design.

Faculty Members:

This group research interest is focused on computer networks design, wireless networks, cryptography, and applications.

Faculty Members:

This group research interest is focused on image processing, robotics, digital signal processing, and applications.

Faculty Members:

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