Computer Engineering BSCE / Computer Engineering MSCE

Major: Computer Engineering
Degree Awarded: Bachelor of Science in Computer Engineering (BSCE) and Master of Science in Computer Engineering
Calendar Type: Quarter
Minimum Required Credits: 227.5
Co-op Options: Three Co-ops (Five years)

 

About the Program

The BS/MS in Computer Engineering is an accelerated degree program that provides academically qualified students the opportunity to develop technical depth and breadth in their major and an additional complementary related area, earning two diplomas (BS and MS) within the typical duration of earning the bachelor's degree alone. A natural progression from the student’s undergraduate courses, with the necessary technical prerequisite understanding and skills, prepares students for graduate-level studies. Students can still enjoy the benefits and rewards of the Drexel co-op experience and gaining research experience by working with research faculty. Salaries for students with MS degrees can be about 25% higher than those with BS degrees. 

For more information, visit the BS/MS webpage or for more information about these programs visit the ECE Department webpage.

Admission Requirements

Students must have a GPA of at least 3.30 and have taken 300/400-level coursework sufficient to demonstrate a readiness to take graduate coursework. Students are encouraged to review ECE course foundations to identify specific undergraduate courses needed to take the corresponding graduate course. 

Degree Requirements

General Education/Liberal Studies Requirements
CIVC 101Introduction to Civic Engagement1.0
COOP 101Career Management and Professional Development *1.0
ENGL 101Composition and Rhetoric I: Inquiry and Exploratory Research3.0
or ENGL 111 English Composition I
ENGL 102Composition and Rhetoric II: Advanced Research and Evidence-Based Writing3.0
or ENGL 112 English Composition II
ENGL 103Composition and Rhetoric III: Themes and Genres3.0
or ENGL 113 English Composition III
PHIL 315Engineering Ethics3.0
UNIV E101The Drexel Experience1.0
Communications Elective3.0
Techniques of Speaking
Technical Communication
General Education Requirements **15.0
Foundation Requirements
CHEM 101General Chemistry I3.5
CS 260Data Structures4.0
CS 265Advanced Programming Tools and Techniques3.0
ENGR 111Introduction to Engineering Design & Data Analysis3.0
ENGR 113First-Year Engineering Design3.0
ENGR 131Introductory Programming for Engineers3.0
or ENGR 132 Programming for Engineers
ENGR 231Linear Engineering Systems0.0-4.0
or ECE 231 Linear Algebra and Matrix Computations
or CAEE 231 Linear Engineering Systems
or MATH 201 Linear Algebra
ENGR 232Dynamic Engineering Systems0.0-4.0
or ECE 232 Solving Dynamic Systems
or CAEE 232 Dynamic Engineering Systems
or MATH 210 Differential Equations
MATH 121Calculus I4.0
MATH 122Calculus II4.0
MATH 200Multivariate Calculus4.0
MATH 221Discrete Mathematics3.0
MATH 291Complex and Vector Analysis for Engineers4.0
PHYS 101Fundamentals of Physics I4.0
PHYS 102Fundamentals of Physics II4.0
PHYS 201Fundamentals of Physics III4.0
Science Elective3.0
Any BIO, CHEM or PHYS course
Professional Requirements
ECE 101Electrical and Computer Engineering in the Real World1.0
ECE 105Programming for Engineers II3.0
ECE 200Digital Logic Design4.0
ECE 201Foundations of Electric Circuits I4.0
ECE 301Foundations of Electric Circuits II4.0
ECE 303ECE Laboratory3.0
ECE 350Introduction to Computer Organization3.0
ECE 361Probability and Data Analytics for Engineers4.0
ECEC 201Advanced Programming for Engineers3.0
ECEC 204Design with Microcontrollers3.0
ECES 301Signals and Systems I4.0
Senior Design ***
ECE 491Senior Design Project I3.0
ECE 492Senior Design Project II3.0
ECE 493Senior Design Project III3.0
CE Core Elective (choose one of the following):3.0
Electronic Devices
Foundations of Electromagnetics for Computing & Wireless Systems
Fundamentals of Power and Energy
ECE Electives 6.0
ECE 400-level Electives ††9.0
Free Electives27.0
Master's Degree Courses
ECEC 500+ Courses21.0
General ECE Courses 9.0
Graduate Electives ‡‡15.0
Total Credits221.5-229.5
*

Co-op cycles may vary. Students are assigned a co-op cycle (fall/winter, spring/summer, summer-only) based on their co-op program (4-year, 5-year) and major. 

COOP 101 registration is determined by the co-op cycle assined and may be scheduled in a different term. Select students may be eligible to take COOP 001 in place of COOP 101.

**

General Education Requirements

***

Students who choose the Master's Thesis instead of Senior Design must replace ECE 491, ECE 492, ECE 493 credits with ECE elective credits.

2 classes or at least 6.0 credits at the 300-400 level from subject codes ECE, ECEC, ECEE, ECEL, ECEP, or ECES. Includes Special Topics in each code (T380, T480).

††

3 classes or at least 9.0 credits at the 400 level from subject codes ECE or ECEC. Includes Special Topics in each code (T480).

9.0 credits at the 500+ level from subject codes ECEC, ECEE, ECEP, ECES, ECET, ECE.

‡‡

500+ courses in the following areas: AE, BIO, BMES, CHE, CHEM, CIVE, CMGT, CS, ECE, ECEC, ECEE, ECEP, ECES, ECET, EGMT, ENGR, ENVE, ET, MATE, MATH, MEM, OPR, PHYS, PROJ, SYSE.

Writing-Intensive Course Requirements

In order to graduate, all students must pass three writing-intensive courses after their freshman year. Two writing-intensive courses must be in a student's major. The third can be in any discipline. Students are advised to take one writing-intensive class each year, beginning with the sophomore year, and to avoid “clustering” these courses near the end of their matriculation. Transfer students need to meet with an academic advisor to review the number of writing-intensive courses required to graduate.

A "WI" next to a course in this catalog may indicate that this course can fulfill a writing-intensive requirement. For the most up-to-date list of writing-intensive courses being offered, students should check the Writing Intensive Course List at the University Writing Program. Students scheduling their courses can also conduct a search for courses with the attribute "WI" to bring up a list of all writing-intensive courses available that term.

Sample Plan of Study

Students should complete undergraduate requirements in four years then convert to graduate status in their final year.

A full-time, academically qualified undergraduate student may take up to 9.0 quarter credits of graduate coursework with departmental permission while in an undergraduate degree program. This coursework may be counted to fulfill undergraduate degree requirements with departmental permission.

Students admitted to an accelerated degree program may take up to a total of 15.0 quarter credits of graduate coursework with departmental permission while in an undergraduate degree program. This graduate coursework must be counted to fulfill undergraduate degree requirements with departmental permission.

This graduate coursework may be used as Shared Credits toward an advanced degree. The course credits for each graduate course taken as an undergraduate student shall only be applied to one graduate degree with departmental permission.

Matriculated students should consult Drexel Central about maintaining Federal/State financial aid eligibility regarding graduate credits taken while in an undergraduate degree program.

Computer Engineering Faculty

Suryadevara Basavaiah, PhD (University of Pennsylvania). Teaching Professor. Computer engineering; computer engineering education; custom circuit design; VLSI technology; process and silicon fabrication
Tom Chmielewski, PhD (Drexel University). Assistant Teaching Professor. Modeling and simulation of electro-mechanical systems; optimal, adaptive and non-linear control; DC motor control; system identification; kalman filters (smoothing algorithms, tracking); image processing; robot design; biometric technology and design of embedded systems for control applications utilizing MATLAB and SIMULINK
Fernand Cohen, PhD (Brown University). Professor. Surface modeling; tissue characterization and modeling; face modeling; recognition and tracking.
Andrew Cohen, PhD (Rensselaer Polytechnic Institute). Associate Professor. Image processing; multi-target tracking; statistical pattern recognition and machine learning; algorithmic information theory; 5-D visualization
Kapil Dandekar, PhD (University of Texas-Austin) Director of the Drexel Wireless Systems Laboratory (DWSL); Associate Dean of Research, College of Engineering. Professor. Cellular/mobile communications and wireless LAN; smart antenna/MIMO for wireless communications; applied computational electromagnetics; microwave antenna and receiver development; free space optical communication; ultrasonic communication; sensor networks for homeland security; ultrawideband communication.
Afshin Daryoush, ScD (Drexel University). Professor. Digital and microwave photonics; nonlinear microwave circuits; RFIC; medical imaging.
Bruce A. Eisenstein, PhD (University of Pennsylvania) Vice Dean, College of Engineering; Arthur J. Rowland Professor. Professor. Pattern recognition; estimation; decision theory.
Adam K. Fontecchio, PhD (Brown University) Vice Dean, Graduate College. Professor. Electro-optics; remote sensing; active optical elements; liquid crystal devices.
Gary Friedman, PhD (University of Maryland-College Park). Professor. Biological and biomedical applications of nanoscale magnetic systems.
Eli Fromm, PhD (Jefferson Medical College) LeRoy A. Brothers University Professor / Director for Center of Educational Research. Professor. Engineering education; academic research policy; bioinstrumentation; physiologic systems.
Edwin L. Gerber, PhD (University of Pennsylvania). Professor. Computerized instruments and measurements; undergraduate engineering education.
Allon Guez, PhD (University of Florida). Professor. Intelligent control systems; robotics, biomedical, automation and manufacturing; business systems engineering.
Peter R. Herczfeld, PhD (University of Minnesota) Lester A. Kraus Professor/Director, Center for Microwave/Lightwave Engineering. Professor. Lightwave technology; microwaves; millimeter waves; fiberoptic and integrated optic devices.
Leonid Hrebien, PhD (Drexel University). Professor. Tissue excitability; acceleration effects on physiology; bioinformatics.
Nagarajan Kandasamy, PhD (University of Michigan) Associate Department Head for Graduate Affairs. Associate Professor. Embedded systems, self-managing systems, reliable and fault-tolerant computing, distributed systems, computer architecture, and testing and verification of digital systems.
Bruce Katz, PhD (University of Illinois). Adjunct Professor. Speech communication and computer science; artificial intelligence.
Youngmoo Kim, PhD (MIT). Associate Professor. Audio and music signal processing, voice analysis and synthesis, music information retrieval, machine learning.
Timothy P. Kurzweg, PhD (University of Pittsburgh). Associate Professor. Micro-optical systems; optical spectroscopy; programmable imaging with MEMS; bio-sensors; diffuse optical communication; MEMS fabrication; diffractive optics; optical automation; optical modeling and simulation; magnetic particle locomotion; meta-materials; reconfigurable antennas
Karen Miu, PhD (Cornell University). Professor. Power systems; distribution networks; distribution automation; optimization; system analysis.
Bahram Nabet, PhD (University of Washington) Associate Dean for Special Projects, College of Engineering; Electrical and Computer Engineering. Professor. Optoelectronics; fabrication and modeling; fiber optic devices; nanoelectronics; nanowires.
Prawat Nagvajara, Ph.D. (Boston University). Associate Professor. System on a chip; embedded systems; power grid computation; testing of computer hardware; fault-tolerant computing; VLSI systems; error control coding.
Dagmar Niebur, PhD (Swiss Federal Institute of Technology). Associate Professor. Intelligent systems; dynamical systems; power system monitoring and control.
Chika Nwankpa, PhD (Illinois Institute of Technology) ECE Department Head. Professor. Power system dynamics; power electronic switching systems; optically controlled high power switches.
Christopher Peters, PhD (University of Michigan). Teaching Professor. Nuclear reactor design; ionizing radiation detection; nuclear forensics; power plant reliability and risk analysis; naval/marine power and propulsion; directed energy/high power microwaves; nonstationary signal processing; radar; electronic survivability/susceptibility to harsh environments; electronic warfare
Karkal S. Prahbu, PhD (Harvard University). Auxiliary Professor. Computer and software engineering; advanced microprocessors and distributed operating systems.
Gail L. Rosen, PhD (Georgia Institute of Technology). Associate Professor. Signal processing, signal processing for biological analysis and modeling, bio-inspired designs, source localization and tracking.
Ionnis Savidis, PhD (University of Rochester). Assistant Professor. Analysis, modeling, and design methodologies for high performance digital and mixed-signal integrated circuits; Emerging integrated circuit technologies; Electrical and thermal modeling and characterization, signal and power integrity, and power and clock delivery for 3-D IC technologies
Kevin J. Scoles, PhD (Dartmouth College). Associate Professor. Microelectronics; electric vehicles; solar energy; biomedical electronics.
Harish Sethu, PhD (Lehigh University). Associate Professor. Protocols, architectures and algorithms in computer networks; computer security; mobile ad hoc networks; large-scale complex adaptive networks and systems.
James Shackleford, PhD (Drexel University). Assistant Professor. Medical image processing, high performance computing, embedded systems, computer vision, machine learning
P. Mohana Shankar, PhD (Indian Institute of Technology) Allen Rothwarf Professor of Electrical and Computer Engineering. Professor. Wireless communications; biomedical ultrasonics; fiberoptic bio-sensors.
Matthew Stamm, PhD (University of Maryland, College Park). Assistant Professor. Information Security; multimedia forensics and anti-forensics; information verification; adversarial dynamics; signal processing
Jaudelice Cavalcante de Oliveira, PhD (Georgia Institute of Technology). Associate Professor. Software-defined networking; social and economic networks; network security; design and analysis of protocols, algorithms and architectures in computer networks, particularly solutions for the Internet of Things