Master of Computer Engineering

Program Description

Learning Outcomes

Requirements

Program Structure

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Master of Computer Engineering
Institution
German Jordanian University
Location
Jordan
Total Tuition
$ 5585
Intakes
September
Application deadline
September
Application Fee
169
Program Description

Computer Engineering (CE) combines the knowledge, skills, and discoveries in electrical engineering and computer science to build real-life computer systems. It covers several technology fields including computer hardware, embedded systems, wireless communication, image processing, artificial intelligence, machine learning, deep learning, computer vision, natural language processing, internet of things (IoT), big data analysis, big data visualization, cloud for AI, robotics programming, parallel and distributed programming, and web/mobile computing.

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Hosting Institution

German Jordanian University
German Jordanian UniversityView Institution Profile ↗

Learning Outcomes

a. Provide a solid theoretical education, practical engineering experience, and a comprehensive curriculum that improves the critical thinking and innovation skills of students.
b. Provide students with the education and training in the field of computer engineering that allows them to make real contributions to society and lead their careers.
c. Build an awareness of computing practices in industry and emerging technologies, emphasizing a working knowledge of current computer design and development techniques.

Requirements

To apply for admission, the following minimum requirements must be met:

a. Obtained a Bachelor of Science degree in one of the following disciplines:
– Computer science
– Machine Learning
– Artificial Intelligence
– Computer Information Systems
– Computer Engineering
– Communications Engineering
– Software Engineering
– Electrical/Electronic Engineering
– Mechatronics Engineering

b. Relevant work experience is preferable.

Students holding other degrees need to consult with the program director for application. Students are expected to have background spanning the following:
1. Computer systems hardware and software
2. Programming, data and object structures
3. Machine Learning (ML) and Artificial Intelligence (AI).

Program Structure

a. Applied Artificial Intelligence Track

First Year

First Semester

Course ID Course Name Credit Hours ECTS Contact Hours (Lect/Lab) Type Prerequisites / Corequisites
CE7501 Deep Learning 3 3 0 BLD –
CE7504 Image Processing 3 3 0 F2F –
Elective Elective Course 3 3 0 F2F –

Total: 9 Credits — 9 Contact Hours

Second Semester

Course ID Course Name Credit Hours ECTS Contact Hours (Lect/Lab) Type Prerequisites / Corequisites
CE7502 Cloud for AI 3 3 0 BLD –
CE7505 Computer Vision 3 3 0 F2F –
Elective Elective Course 3 3 0 F2F –

Total: 9 Credits — 9 Contact Hours

Second Year

First Semester

Course ID Course Name Credit Hours ECTS Contact Hours (Lect/Lab) Type Prerequisites / Corequisites
CE7503 Big Data Analysis and Visualization 3 3 0 BLD –
CE7506 Natural Language Processing 3 3 0 F2F –
CE7001 Master Project 1 3 3 0 BLD Passing 12 Cr Hr

Total: 9 Credits — 9 Contact Hours

Second Semester

Course ID Course Name Credit Hours ECTS Contact Hours (Lect/Lab) Type Prerequisites / Corequisites
CE7002 Master Project 2 3 3 0 OL CE7001
Elective Elective Course 3 3 0 F2F –

Total: 6 Credits — 6 Contact Hours

Summer Semester

Course ID Course Name Credit Hours ECTS Contact Hours Type Prerequisites / Corequisites
CE799 Comprehensive Exam 0 0 0 F2F –

Total: 0 Credits

b. Artificial Intelligence of Things Track

First Year

First Semester

Course ID Course Name Credit Hours ECTS Contact Hours (Lect/Lab) Type Prerequisites / Corequisites
CE7501 Deep Learning 3 3 0 BLD –
CE7701 Internet of Things 3 3 0 F2F –
Elective Elective Course 3 3 0 F2F –

Total: 9 Credits — 9 Contact Hours

Second Semester

Course ID Course Name Credit Hours ECTS Contact Hours (Lect/Lab) Type Prerequisites / Corequisites
CE7502 Cloud for AI 3 3 0 BLD –
CE7201 Embedded Systems 3 3 0 F2F –
Elective Elective Course 3 3 0 F2F –

Total: 9 Credits — 9 Contact Hours

Second Year

First Semester

Course ID Course Name Credit Hours ECTS Contact Hours (Lect/Lab) Type Prerequisites / Corequisites
CE7503 Big Data Analysis and Visualization 3 3 0 BLD –
CE7301 Wireless Communication 3 3 0 F2F –
CE7001 Master Project 1 3 3 0 BLD Passing 12 Cr Hr

Total: 9 Credits — 9 Contact Hours

Second Semester

Course ID Course Name Credit Hours ECTS Contact Hours (Lect/Lab) Type Prerequisites / Corequisites
CE7002 Master Project 2 3 3 0 OL CE7001
Elective Elective Course 3 3 0 F2F –

Total: 6 Credits — 6 Contact Hours

Summer Semester

Course ID Course Name Credit Hours ECTS Contact Hours Type Prerequisites / Corequisites
CE799 Comprehensive Exam 0 0 0 F2F –

Total: 0 Credits

Visit The Program Page
Program Overview
Study Format
On-campus
Program Level
Master
Language Of Materials
English
Language Of Teaching
English
Mode
Full-time
Duration By Months
24
Visit The Program Page
To request more information about the program

Contact Admission
German Jordanian University
Phone Number
+96264294444
Email
info@gju.edu.jo

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