Mohammed Abdallah, Howard A. Blair, Tomislav Bujanovic, Ilyas Cicekli, Nihan Cicekli, Stephen J. Chapin, Biao Chen, C.Y. Roger Chen, Shiu-Kai Chin, Wenliang (Kevin) Du, Sara Eftekharnejad, Ehat Ercanli, Makan Fardad, James W. Fawcett, Prasanta Ghosh, Jennifer Graham, Mustafa Cenk Gursoy, Can Isik, Mina Jung, Garrett Katz, Andrew ChungYeung Lee, Jay Kyoon Lee, Duane L. Marcy, Patrick McSweeney, WonKyung Park McSweeney, Chilukuri K. Mohan, Jae C. Oh, Susan Older, Vir Phoha, Qinru Qiu, James S. Royer, Tapan K. Sarkar, Q. Wang Song, Sucheta Soundarajan, Jian Tang, Yuzhe (Richard) Tang, William C. Tetley, Pramod K. Varshney, Senem Velipasalar, Li Wang, Edmund Yu, Reza Zafarani
Master of Science Programs
For students who want to expand their technical expertise beyond their undergraduate major, the Department of Electrical Engineering and Computer Science (EECS) offers master of science (M.S.) degrees in computer engineering, computer science, and electrical engineering. EECS has a long and distinguished record of graduate education, with many of our graduates placed in key positions in industry. Graduates from our master’s programs are well represented in such corporations as IBM, General Electric, Lockheed Martin, Microsoft, and Intel. In all of these degrees, students have the option of completing the M.S. degrees by taking only courses, or by combining coursework with a master’s thesis.
Students who are contemplating continuing their studies at the Ph.D. level are encouraged to complete an M.S. degree with the thesis option. Students enrolled in the non-thesis option in one of these M.S. programs may finish the M.S. degree in one year if they choose. To accomplish this, students must take courses in the fall, spring, and summer semesters. Most students elect to complete the degree in a less intensive fashion over three or four regular semesters.
Professionals having a baccalaureate degree in fields other than computer engineering, computer science, or electrical engineering who are seeking a career change may take advantage of an opportunity to obtain an M.S. degree in one of these fields by combining suitable remedial undergraduate coursework with the regular program of graduate study.
Each of these master’s programs has its own admission committee that evaluates the overall academic record of an applicant. Each of these committees uses the following guidelines during the evaluation process:
- GRE Verbal score of 150 or better (using New GRE Score System);
- GRE Quantitative score of 155 or better (using New GRE Score System);
- GRE Analytical (multiple choice) score of 650 or better, or a score of 3.5 or better in the new Analytical Writing;
- For international students: TOEFL computer-based score of 223 (Internet-based score 85; paper-based score 563) or better;
- Grade point average (GPA) of 3.0/4.0 or better
Student Learning Outcomes
1. Analyze algorithms in terms of correctness as well as time and space complexity
2. Apply key data structures and algorithm design techniques to synthesize efficient computational solutions
3. Use formal methods to specify and reason about program and system behavior
4. Apply concepts of abstract machines and protection mechanisms to analyze, design, and develop system-level components that meet functional specifications
5. Apply knowledge of computer architecture (including supports for parallelism) to achieve software performance goals
1 Graduate Work Beyond the B.S. Degree
A minimum of 30 credits of graduate work beyond the B.S. degree is required.
2. Cumulative Total GPA
The student must maintain a cumulative total GPA of at least a 3.0 in those courses to be credited towards the M.S. degree, and a minimum cumulative total GPA of 2.8 in all graduate courses taken at Syracuse University.
3. A Maximum of 9 Credits of Transfer Credit of Graduate Coursework
A maximum of 9 credits of transfer credit of graduate coursework taken at another university with a grade of B or better may be included in the M.S. program.
4. A maximum of 12 Credits Taken at Syracuse University
A maxiumum of 12 credits taken at Syracuse University before the semester of admission may be included in an M.S. program provided they are relevant to a program in computer engineering and have a grade of B or better.
5. To Maintain Full-time Status in the EECS Department
To maintain full-time status in the EECS Department, students must register for at least 9 credits per semester. During the last semester of course work, students may take less than 9 credits to be considered as full-time students. Part-time students must complete at least 6 credits per academic year.
6. Core Course Requirement
Each student’s program must include:
7. Final Examinations
Candidates are required to complete the final examination in all core courses with an average grade of B- or better.
Students must achieve a transcript grade of B- or better in each of the core courses.
8. Program must include a minimum of 18 credits of CIS courses
9. No more than 6 credits of 500-level courses may be included in an M.S. program.
10. Taking Courses Offered by Other Departments
Taking courses offered by other departments is generally not allowed. In some cases, it will be permitted with prior approval by the CS program committee.
11. Students may select a thesis option up to 6 credits
The Master’s Thesis must be prepared in accordance with the Graduate School’s instructions for the Preparation of Theses and Dissertations and must receive prior approval from the thesis advisor. Theses must be presented orally and defended before a faculty panel. Students electing the thesis option must include CIS 997 - Masters Thesis (normally 6 credits) in their programs of study.
12 Students may take up to 3 independent study credits.
Three-Year M.S. Plan
The baccalaureate degree in many fields outside computer science may not constitute adequate preparation for the mathematical and technical aspects of graduate study in computing. Students with such a background who nevertheless are seriously interested in a graduate degree in computer science may achieve the needed preparation by combining suitable undergraduate coursework with the regular program of graduate study requiring an additional year of coursework. Students beginning this work should have one year of calculus equivalent to MAT 295 and MAT 296, and at least one high-level programming language equivalent to CPS 196 Introduction to Computer Programming: C, or ECS 102 Introduction to Computing. (See Syracuse University Undergraduate Catalog for descriptions of MAT 295, MAT 296, CPS 196, ECS 102.) The following three-year plan of combined undergraduate and graduate coursework provides the student with the preparation described above, needed for completion of the graduate courses for the M.S. Courses numbered below 500 do not carry graduate credit and constitute the intermediate preparation needed for graduate courses listed later in the plan. Requirements for the M.S. in computer science remain as described above.
First semester (Fall)
- CIS 375 - Introduction to Abstract Mathematics
- CIS 351 - Data Structures
- One elective graduate course with permission of Program Director
Second Semester (Spring)
- CIS 352 - Programming Languages: Theory and Practice
- CIS 341 - Computer Organization and Programming Systems
- CIS 342 - Introduction to Systems Programming
- One elective graduate course with permission of Program Director
Third Semester (Fall)
- One graduate elective
- CIS 477 Introduction to Algorithms
- CIS 486 Design of Operating Systems*
Sixth Semester (Spring)
- Two elective graduate courses
Concurrent M.S. Degrees in Computer Science and Mathematics
Master of Science in Computer Science and Mathematics
In collaboration with the Mathematics Department in the College of Arts & Sciences, the Department of Electrical Engineering and Computer Science offers concurrent M.S. degrees in computer science and mathematics. Students complete a total of 51 credits, 30 in mathematics and 21 in computer science. Students who want to pursue this program should have a solid background in undergraduate mathematics, and knowledge of programming in high-level languages and of algorithms and data structures adequate for graduate study in computer science.
For further information, please contact the Graduate Enrollment Management Center, 315-443-4492, firstname.lastname@example.org
Current EECS students: please contact the EECS Graduate Records Office, 315-443-2655, email@example.com