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
Total Credit Hours: 226.5
Co-op Options: Three Co-ops (Five years)
Classification of Instructional Programs (CIP) code: 14.0901
Standard Occupational Classification (SOC) code: 15-1132; 15-1133; 15-1143; 17-2031

About the Program

The BS/MS in Computer Engineering is an accelerated degree program that gives academically qualified ECE students the opportunity to receive two diplomas (BS and MS) at the same time in five years, graduating in the same time to earn the bachelor's degree alone. Students can still enjoy the benefits and rewards of the Drexel Co-op experience while gaining research experience by working with research faculty. Typical salaries for students with MS degrees are about 25% higher than those with BS degrees. An additional benefit of pursuing the BS/MS at Drexel's College of Engineering is the possibility of receiving a BS degree in one discipline and a MS degree in the same or related discipline. 

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
COOP 101Career Management and Professional Development *1.0
CIVC 101Introduction to Civic Engagement1.0
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
COM Elective: **3.0
Techniques of Speaking
Technical Communication
General Education Electives **15.0
Foundation Requirements
CHEM 101General Chemistry I3.5
CS 265Advanced Programming Tools and Techniques3.0
CS 260Data Structures3.0
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 Systems3.0
ENGR 232Dynamic Engineering Systems3.0
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 Elective ***3.0
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 361Probability and Data Analytics for Engineers4.0
ECE 491 [WI] Senior Design Project I 3.0
ECE 492 [WI] Senior Design Project II 3.0
ECE 493Senior Design Project III 3.0
ECEC 201Advanced Programming for Engineers3.0
ECEC 204Design with Microcontrollers3.0
ECEC 355Computer Organization & Architecture3.0
ECES 301Signals and Systems I4.0
CE Core Elective ††3.0
ECE Electives ††6.0
400+ ECE and/or ECEC Electives9.0
Free Electives27.0
MASTERS DEGREE COURSES
Graduate CE Courses †††21.0
Graduate Electives 15.0
Grad General ECE Courses §9.0
Total Credits226.5

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

First Year
FallCreditsWinterCreditsSpringCreditsSummerCredits
CHEM 1013.5CIVC 101 or COOP 101*1.0COOP 101 or CIVC 101*1.0VACATION
ECE 1011.0ECE 2004.0ECE 1053.0 
ENGL 1013.0ENGR 131 or 1323.0ENGL 1023.0 
ENGR 1113.0MATH 1224.0ENGR 1133.0 
MATH 1214.0PHYS 1014.0MATH 2004.0 
UNIV 1011.0 PHYS 1024.0 
 15.5 16 18 0
Second Year
FallCreditsWinterCreditsSpringCreditsSummerCredits
ECE 2014.0CS 2653.0COOP EXPERIENCECOOP EXPERIENCE
ECEC 2013.0ECEC 2043.0  
ENGL 103 or 1133.0ENGR 2323.0  
ENGR 2313.0PHYS 2014.0  
MATH 2213.0(UG) Free Elective3.0  
(UG) Free Elective3.0Communications Elective**3.0  
   
 19 19 0 0
Third Year
FallCreditsWinterCreditsSpringCreditsSummerCredits
CS 2603.0ECE 3614.0COOP EXPERIENCECOOP EXPERIENCE
ECE 3014.0PHIL 3153.0(GR) Graduate Elective***3.0 
ECEC 3553.0(UG) Science Elective3.0  
ECES 3014.0(UG) CE Core Elective††3.0  
(UG) General Education Elective**3.0(UG) Free Elective3.0  
(GR) Graduate Elective***3.0(GR) Graduate Elective***3.0  
 20 19 3 0
Fourth Year
FallCreditsWinterCreditsSpringCreditsSummerCredits
ECE 3033.0(UG) ECE Elective††3.0COOP EXPERIENCECOOP EXPERIENCE
MATH 2914.0(UG) Free Electives6.0(GR) Graduate CE Course†††3.0(GR) Graduate Elective***3.0
(UG) ECE Elective††3.0(UG) General Education Elective**3.0  
(UF) Free Elective3.0(GR) Graduate CE Courses†††6.0  
(GR) Graduate CE Courses†††6.0   
 19 18 3 3
Fifth Year
FallCreditsWinterCreditsSpringCredits 
ECE 4913.0ECE 4923.0ECE 4933.0 
(UG) ECE Elective (400+ level)§3.0(UG) ECE Elective (400+ level)§3.0(UG) ECE Elective (400+ level)§3.0 
(UG) General Education Elective**3.0(UG) General Education Elective**3.0(UG) General Education Elective**3.0 
(UG) Free Elective3.0(UG) Free Elective3.0(UG) Free Elective3.0 
(GR) Graduate CE Course†††3.0(GR) Graduate CE Course†††3.0(GR) Graduate Elective***3.0 
(GR) Grad General ECE Course3.0(GR) Grad General ECE Course3.0(GR) Grad General ECE Course3.0 
 18 18 18 
Total Credits 226.5

Computer Engineering Faculty

Tom Chmielewski, PhD (Drexel University). 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.
Anup Das, PhD (Universit of Singapore). Assistant Professor. Design of algorithms for neuromorphic computing, particularly using spiking neural networks, dataflow-based design of neuromorphic computing system, design of scalable computing system; hardware-software co-design and management, and thermal and power management of many-core embedded systems
Bruce A. Eisenstein, PhD (University of Pennsylvania). Arthur J. Rowland Professor of Electrical and Computer Engineering. Pattern recognition; estimation; decision theory.
Adam K. Fontecchio, PhD (Brown University) Director, Center for the Advancement of STEM Teaching and Learning Excellence (CASTLE). Professor. Electro-optics; remote sensing; active optical elements; liquid crystal devices.
Gary Friedman, PhD (University of Maryland-College Park) Associate Department Head for Graduate Affairs. Professor. Biological and biomedical applications of nanoscale magnetic systems.
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). 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 Undergraduate Affairs. Associate Professor. Embedded systems, self-managing systems, reliable and fault-tolerant computing, distributed systems, computer architecture, and testing and verification of digital systems.
Youngmoo Kim, PhD (MIT) Director, Expressive and Creative Interactive Technologies (ExCITe) Center. Professor. Audio and music signal processing, voice analysis and synthesis, music information retrieval, machine learning.
Fei Lu, PhD (University of Michigan). Assistant Professor. Power electronics; wireless power transfer technology for the high-power electric vehicles and the low-power electronic devices.
Karen Miu, PhD (Cornell University). Professor. Power systems; distribution networks; distribution automation; optimization; system analysis.
Bahram Nabet, PhD (University of Washington). Professor. Optoelectronics; fabrication and modeling; fiber optic devices; nanoelectronics; nanowires.
Prawat Nagvajara, PhD (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.
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 Prabhu, PhD (Harvard University). Teaching Professor. Computer engineering education; computer architecture; embedded 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.
Ioannis Savidis, PhD (University of Rochester). Associate 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 Dean for Undergraduate Affairs. 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). Associate 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). Associate Professor. Information Security; multimedia forensics and anti-forensics; information verification; adversarial dynamics; signal processing
Baris Taskin, PhD (University of Pittsburgh). Professor. Very large-scal integration (VLSI) systems, computer architecture, circuits and systems, electronic design automation (EDA), energy efficient computing.
John Walsh, PhD (Cornell University). Associate Professor. Bounding the region of entropic vectors and its implications for the limits of communication networks, big data distributed storage systems, and graphical model based machine learning; efficient computation and analysis of rate regions for network coding and distributed storage; code construction, polyhedral computation, hierarchy, and symmetry
Steven Weber, PhD (University of Texas-Austin) Department Head. Professor. Mathematical modeling of computer and communication networks, specifically streaming multimedia and ad hoc networks.
Jaudelice 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

Emeritus Faculty

Suryadevara Basavaiah, PhD (University of Pennsylvania). Professor Emeritus. Computer engineering; computer engineering education; custom circuit design; VLSI technology; process and silicon fabrication
Eli Fromm, PhD (Jefferson Medical College). Professor Emeritus. Engineering education; academic research policy; bioinstrumentation; physiologic systems.
Edwin L. Gerber, PhD (University of Pennsylvania). Professor Emeritus. Computerized instruments and measurements; undergraduate engineering education.
  • Schedule of Classes
  • All Course Descriptions
  • Co-op
  • Academic Advising
  • Admissions
  • Tuition & Fees
LEARN MORE