Concentration: Electrical & Computer Engineering - New Brunswick
Overview:
The Master of Business and Science with a concentration in Electrical and Computer engineering combines business courses with courses from electrical and computer engineering to give engineers a more industrial perspective. The science courses cover a wide range of areas including computer hardware, software, communication systems, power, and solid state electronics. Students can choose from a number of different areas and these are listed below.For information about the business curriculum, please see here. [1]
Employment Opportunities:
There are many companies that employ electrical and computer engineers and engineering managers, these include: software industry, financial industry, consulting industry, telecommunication industry, computer hardware industry, and networking industry.
Program Requirements:
There are five sub-concentrations in the MBS concentration for Electrical and Computer Engineering. The five sub-concentrations are:
1. Communications Engineering
2. Computer Engineering
3. Digital Signal Processing
4. Solid State Electronics
5. Systems and Control
Students may select to specialize in one of the above areas; areas can also be combined. Core courses and electives are listed for those specializations. If a student has taken some of these as undergraduates or would like to substitute others, please speak to an advisor. Elective courses are also available from the departments of computer science, physics, information technology, and other engineering disciplines.
Course descriptions for core courses with ECE and some electives are listed below.
Communications Engineering
Students must select 5 out of the 9 required courses and 3 out of the 16 elective courses.
Required Core Courses (Select 5 courses)
332:541 Stochastic Signals and Systems
332:542 Information Theory and Coding
332:543 Communication Networks I
332:544 Communication Networks II
332:545 Digital Communication Systems
332:546 Wireless Communications Technologies
332:548 Error Control Coding
332:549 Detection and Estimation Theory
332:559 Advanced Topics in Communications Engineering
Elective Courses (Select 3 courses)
332:501 System Analysis
332:505 Control Theory I
332:506 Control Theory II
332:521 Digital Signals and Filters
332:525 Optimum Signal Processing
640:501 Theory of Functions of a Real Variable
640:503 Theory of Functions of a Complex Variable
640:515 Ordinary Differential Equations
642:550 Linear Algebra and Applications
642:573 Topics in Number Theory I
642:574 Topics in Number Theory II
642:591 Topics in Probability and Ergodic Theory
642:621 Financial Mathematics I
642:622 Financial Mathematics II
960:580 Basic Probability and Statistics
960:582 Introduction to Methods and Theory of Probability
Computer Engineering
Required Core Courses (2 courses)
332:563 Computer Architecture I
332:573 Data Structures and Algorithms
Elective Courses (Select 5 courses)
332:560 Computer Graphics
322:561 Machine Vision
332:562 Visualization and Advanced Computer Graphics
332:564 Computer Architecture II
332:566 Parallel and Distributed Computing
332:567 Software Engineering I
332:568 Software Engineering Web Applications
332:569 Database System Engineering
332:570 Robust Computer Vision
332:571 Virtual Reality Technology
332:574 Computer Aided Digital VLSI Design
332:576 Testing of ULSI Circuits
332:577 Analog and Low-Power Digital VLSI Design
332:579 Advanced Topics In Computer Engineering
332:542 Information Theory and Coding
332:544 Communication Networks II
198:515 Programming Languages and Compilers
198:519 Operating Systems
Other courses from computer science and SCILS are also acceptable. Please speak to your advisor.
Mathematical Electives (Select 1 course)
332:501 System Analysis
198:510 Numerical Analysis
198:521 Linear Programming
198:522 Network and Combinatorial Optimization Algorithms
198:524 Nonlinear Programming Algorithms
198:528 Parallel Numerical Computing
642:550 Linear Algebra and Applications
642:573 Topics in Number Theory I
642:587 Selected Topics in Discrete Mathematics
642:621 Financial Mathematics I
642:622 Financial Mathematics II
Digital Signal Processing
Required Core Courses (Select 5 courses)
332:521 Digital Signals and Filters
332:525 Optimum Signal Processing
332:527 Digital Speech Processing
332:529 Image Coding and Processing
332:533 Computation Methods for Signal Recovery
332:535 Multi-Dimensional Signal Processing Algorithms
332:541 Stochastic Signals and Systems
332:561 Machine Vision
332:570 Robust Computer Vision
Elective Courses (Select 3 courses)
332:501 System Analysis
332:505 Control Theory I
332:506 Control Theory II
332:565 Neurocomputer Systems Design
640:501 Theory of Functions of a Real Variable
640:503 Theory of Functions of a Complex Variable
642:550 Linear Algebra and Applications
642:573 Topics in Number Theory I
642:574 Topics in Number Theory II
642:621 Financial Mathematics I
642:622 Financial Mathematics II
Solid State Electronics
Required Core Courses (5 courses)
332:580 Electric Waves and Radiation
332:581 Introduction to Solid State Electronics
332:583 Semiconductor Devices I
332:584 Semiconductor Devices II
332:587 Transistor Circuit Design
Elective Courses (Select 3 courses)
332:591 Opto-Electronics I
332:592 Opto-Electronics II
332:594 Solar Cells
150:522 Electron Microscopy
642:516 Applied Partial Differential Equations
642:527 Methods of Applied Mathematics I
642:528 Methods of Applied Mathematics II
642:575 Numerical Solutions of Partial Differential Equations
635:501 Theory of Solid State Materials
750:501 Quantum Mechanics I
750:601 Solid State Physics I
750:602 Solid State Physics II
Systems and Control
Required Core Courses (3 courses)
332:501 System Analysis
332:505 Control Theory I
332:506 Control Theory II
Elective Courses (Select 5 courses)
332:508 Digital Control Systems
332:510 Optimal Control Systems
332:512 Nonlinear and Adaptive Control
332:514 Stochastic Control Systems
332:519 Advanced Topics in Systems Engineering
332:521 Digital Signals and Filters
332:526 Robotic Systems Engineering
332:541 Stochastic Signals and Systems
332:545 Digital Communication Systems
332:563 Computer Architecture I
640:501 Theory of Functions of a Real Variable
640:503 Theory of Functions of a Complex Variable
640:515 Ordinary Differential Equations
642:516 Applied Partial Differential Equations
642:527 Methods of Applied Mathematics I
642:528 Methods of Applied Mathematics II
642:550 Linear Algebra and Applications
642:573 Topics in Number Theory I
642:575 Numerical Solutions of Partial Differential Equations
642:621 Financial Mathematics I
642:622 Financial Mathematics II
Admission Requirements:
It is recommended that students have a Bachelor's degree in Electrical and/or Computer Engineering. The student must also submit three letters of recommendation and have taken the general Graduate Record Examination (GRE). The subject GRE in engineering is not required. In addition, the Test of English as a Foreign Language (TOEFL) is required of all foreign applicants whose native language is not English unless an undergraduate degree was received in the USA. A minimum score of 250 is expected. Students who obtain a TOEFL score below 250 may be accepted in exceptional cases, but will be required to attend classes in the Program in American Language Studies (PALS). This score corresponds to the new TOEFL Scores: Writing 22, Speaking 23, Reading 21, and Listening 17. Students with a Bachelor’s of Science degree from an accredited electrical engineering school may apply for direct admission to the graduate program.
Students with backgrounds in other concentrations, such as physics, mathematics, and computer science, or in engineering programs other than electrical engineering, may be required to pass certain prerequisite undergraduate courses in electrical engineering. Please contact the concentration coordinator for more information.
Course Descriptions [2] (click here)
Concentration Coordinators:
Dr. Zoran Gajic
gajic@ece.rutgers.edu [3]
Dr. Deborah Silver
silver@ece.rutgers.edu [4]
Related Concentrations: Information Technology [5]
Tags: Masters Electrical Engineering, Computer Engineering, Wireless Communications, Signal Processing, Control Systems
The MBS (Master of Business & Science) is a Professional Science Master's Degree combining graduate science courses (MS level) in a particular concentration with courses in business.