MS in Computer Engineering
Available Scholarships
Scholarships and Assistantships.
All applicants are encouraged to contact faculty members with areas of research matching their interest.
To find out about the Graduate Assistantships application deadline, check with the Department’s main office.
Mission
The MS in Computer Engineering provides students with the knowledge, skills, and research competencies necessary for pursuing professional careers or doctoral studies in the field of computer engineering.
Program Educational Objectives
The MS in Computer Engineering provides a learning-centered environment where accomplished faculty share their experience and knowledge with students so that graduates will:
- Be capable of integrating undergraduate fundamentals to solve complex electrical and computer engineering problems. They will have comprehension of advanced topics in several areas, with depth in at least one area.
- Have the ability to conduct research or execute development projects and to proficiently document the results.
Student Outcomes
Graduates are expected to be able to demonstrate the ability to:
- Apply knowledge from undergraduate and graduate education to identify, formulate, and solve new and complex electrical and computer engineering problems
- Plan and conduct an organized and systematic study on a significant topic within the field
- Communicate both orally and in writing at a high level of proficiency in the field of study
Admission Requirements
Applicants for admissions to the program must hold a degree of Bachelor of Science in Engineering or Bachelor of Engineering, from a recognized university. A minimum cumulative Grade Point Average (GPA), on a 4.0 scale, of 2.75 and a minimum Major GPA of 2.75, or their equivalent, is required.
Bachelor of Science in Engineering holders, from a 120-credit program, must complete an additional 12 credits of engineering courses prior to their enrollment in the Masters program. No credit toward the graduate degree is given for these courses.
Non-LAU applicants must submit, as part of their application package, the quantitative reasoning and analytical writing scores for the GRE general exam. GRE subject exams are not required for all applicants. GRE test scores must be recent, less than 5 years old.
Two letters of recommendation are required, with at least one letter completed by a full-time faculty who is familiar with the applicant’s academic performance in coursework and research.
Curriculum (30 credits)
Required Courses (9 credits)
COE 899 Thesis (6 credits)
GNE 798 Research Methods (3 credits)
Elective courses (21 credits)
MS in computer engineering students must choose their elective courses (21 credits) from the table below according to the following criteria:
- MS COE students must take four different courses (12 credits) from COE tracks; the remaining three elective courses (9 credits) can be picked from any track (COE or ELE).
- Students wishing to specialize in a specific concentration can choose at least two of their elective courses from that concentration area (AI, Hardware, Software, Communications etc.)
| Track | Concentration Area | Course | |
|---|---|---|---|
| Number | Title | ||
| ELE tracks | Communication and Signal Processing | ELE731 | Optical Fiber Communication |
| ELE735 | Information and Coding Theory | ||
| ELE772 | Digital Image and Video Processing and Compression | ||
| Integrated Circuits, Electronics, and Control | ELE757 | Simulation of Electronic Circuits | |
| ELE799 | Topics: Biomechatronics | ||
| Electric Power and Energy Systems | ELE721 | Electrical Energy Storage Systems | |
| ELE724 | Faulted Power Systems | ||
| ELE726 | Renewable Energy | ||
| ELE729 | Design and Operation of Smart Grids | ||
| COE tracks | Computer Hardware | COE723 | High Performance Computer Architecture |
| COE725 | VLSI Design | ||
| Computer Software and Networks | COE745 | Information Security | |
| AI Systems Engineering | COE774 | Computer Vision and Deep Learning | |
| COE743 | Intelligent Data Processing and Applications | ||
| COE744 | Intelligent Engineering Algorithms | ||
| No Track | COE755 | Queuing Theory | |
| ELE753 | Reliability Evaluation of Engineering Systems | ||
Applicants for admissions to this program must have a Bachelor of Science in Engineering or a Bachelor of Engineering degree from a recognized university with a minimum grade point average (GPA) equivalent to 2.75 (on a 4-point scale) general or 2.75 in the major. If the GPA is less than 2.75, the applicant may be admitted as “Special” as described in the Academic Rules and Regulations for Graduate Program.
The GRE general exam is required of all applicants (GRE subject exams are not required). All applicants must submit scores for the GRE general exam (includes verbal reasoning, quantitative reasoning, and analytical writing scores). Your GRE test scores are an important part of your application. GRE test scores that are more than 5 years old will not be accepted.
The admissions committee considers several factors when making admission decisions: your academic performance at prior institutions (grades, rankings, and GPAs) and your GRE test score. The rate of graduate assistantship (GA), when requested, is directly related to your GPA and GRE scores. Letters of recommendation are optional; however, three letters are recommended, two of which to be completed by faculty who are familiar with your academic performance.