Master of Science in Electrical and Computer Engineering

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 2 Years
Mode On Campus
Level Postgraduate
Degree Masters Degree
Closing soon January 2027

Course Overview

The Master of Science in Electrical and Computer Engineering at Southern Illinois University is designed for ambitious individuals seeking to advance their expertise in the dynamic fields of electrical and computer systems. Whether you are drawn to the intricacies of hardware design, the logic of computer architecture, or the complexities of wireless communication and signal processing, this program offers a robust foundation. You will explore cutting-edge topics and develop a deep understanding of the principles that drive technological innovation, preparing you to tackle complex engineering challenges and contribute to the next wave of technological advancements.

This postgraduate degree is offered full-time on campus over two years, providing an immersive learning experience. You will have the flexibility to choose between a thesis track, focusing on in-depth research, or a non-thesis track, emphasizing coursework and comprehensive assessments. Throughout your studies, you will engage with advanced topics such as systems modeling, hardware security, and machine learning applications, often through project-based learning. Upon graduation, you will be well-prepared for roles in advanced research and development, system design, and technical leadership within the technology sector.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

The Master of Science in Electrical and Computer Engineering program offers a comprehensive curriculum covering a wide range of advanced topics. Students will explore areas such as systems modeling and verification, hardware and network security, computer systems architecture, and data analysis. The program also delves into specialized fields including photonics, bioelectronics, wireless communication systems, and power systems analysis, preparing graduates for diverse roles in the electrical and computer engineering industries.

1 Curriculum

Systems modeling and verification
Hardware security
Computer systems reliability
Computer systems architecture
Network system security
Computer systems security
Data analysis in engineering with R
Photonics and devices
Bioelectronics and biosensors
Biomedical optics
Image sensors
MEMS and micro-engineering
Digital signal processing
Introduction to machine learning for engineering applications
Fundamentals of neural networks in data science
Wireless communication systems
Digital health cyber systems
Fields and waves I
Clean electric energy
Power systems analysis
Diagnostic ultrasound
Modern cryptography
Hardware and software aspects in the internet of things
Surgical technologies
Software hardware co-design for deep neural networks
Wireless networks
Digital VLSI design
Design of embedded systems
Three dimensional integration systems
Implementation of VLSI systems with HDL
Edge computing
Advanced hardware security and trust
Advanced computer security
VLSI design and test automation
Fault-tolerant computer design
VLSI circuit testing
Low power VLSI design
Synthesis and verification of digital circuits
Advances in physical design automation
Network processing systems design
Integrated interconnection networks
Programmable ASIC design
Computer systems architecture
Engineering data acquisition
Mixed-signal VLSI design
Programming parallel processors
Speech processing
Biomedical signal analysis
CMOS radio-frequency integrated circuit design
Embedded systems programming
Integrated photonics
Medical instrumentation: application and design
Diagnostic ultrasound
CMOS radio-frequency integrated circuit design II
Quantum information processing and devices
Photonics and devices
Advanced analog integrated circuit design
Optical imaging and photonics
Advanced semiconductor devices
VLSI design for manufacturability and process control
Analog circuit design
Semiconductor devices
Quantum phenomena and devices
Fiber optic communications
Nanoscale VLSI devices
Probability and stochastic processes for engineers
Signal detection and estimation
Computer network system architecture
Broadband wireless communications
Introduction to information theory and channel coding
Digital communications
Computational electronics
Digital image processing I
Reinforcement learning
VLSI material and device characterization
Mechatronics and embedded control
Microwave engineering I
Advanced image sensors
Optimal control
Nonlinear control systems
Linear systems theory
Modern biomedical imaging
Introduction to machine learning for engineering applications
Biomedical instrumentation
Principles of communication systems
Advanced wireless communication
Neural networks
Field and waves II
Nonlinear optics
Antennas I
Numerical electromagnetics
Antennas II
Digital image processing II
Microwave engineering II
Terahertz devices and applications
Seminar
Wind and solar energy power systems
Power converter design and control
Electric drive systems
Electric and hybrid vehicles
Power systems stability and control
Computational methods in power systems
Modern power systems operation
Power system engineering
Electric power distribution
Special investigations in electrical engineering
Advanced topics in electrical engineering-antennas and propagation
Advanced topics in electrical engineering-ASIC design
Advanced topics in electrical engineering-communications
Advanced topics in electrical engineering-computer architecture
Advanced topics in electrical engineering-control systems
Advanced topics in electrical engineering-design automation
Advanced topics in electrical engineering-digital design
Advanced topics in electrical engineering-digital testing and verification
Advanced topics in electrical engineering-electromagnetic fields and waves
Advanced topics in electrical engineering-embedded systems
Advanced topics in electrical engineering-medical imaging
Advanced topics in electrical engineering-mixed-signal testing and design
Advanced topics in electrical engineering-nanotechnology
Advanced topics in electrical engineering-network systems
Advanced topics in electrical engineering-photonics
Advanced topics in electrical engineering-physical design automation
Advanced topics in electrical engineering-power electronic converters and drive systems
Advanced topics in electrical engineering-power quality
Advanced topics in electrical engineering-power system control and protection
Advanced topics in electrical engineering-renewable energy
Advanced topics in electrical engineering-RF and microwave systems
Advanced topics in electrical engineering-signal processing
Advanced topics in electrical engineering-software engineering
Advanced topics in electrical engineering-wireless systems
Communication skills for engineering graduate students
Principles of biomedical engineering
Thesis
Doctoral dissertation
Continuing enrollment

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 28,170.00
Second Year Fee Tuition fee
USD 28,170.00
Total Program Cost Estimated total tuition
USD 56,340.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Accommodation
USD 1,950.00 - USD 2,250.00
Food & Groceries USD 3,000.00 - USD 4,560.00
Transport USD 600.00 - USD 1,200.00
Utilities & Bills USD 960.00 - USD 1,800.00
Estimated Total USD 4,560.00 - USD 7,560.00

Living cost estimates are based on Carbondale campus.

Outcomes & Employability

What happens after you graduate

53%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Aviation & Air TransportAviation Safety & RegulationClinical & Medical ServicesConstruction Technology & Digital SolutionsCybersecurityDefense & Military SecurityEnergy Trading & MarketsEnvironmental & Sustainability ServicesHealth Technology & Digital HealthRehabilitation & Physiotherapy

Top Employers Hiring for this course

AT&T

Amazon Fulfillment Technologies & Robotics

Amazon Web Services

Boeing

Caterpillar

Cummins Inc.

General Dynamics Information Technology

IBM

Why Study Master of Science in Electrical and Computer Engineering at Southern Illinois University

What makes this program stand out

January 2027 Closing soon

Next intake is in January 2027

Very Fast Application response time

Southern Illinois University typically responds to applications within 1 - 2 days, giving you clarity on your options quickly.

Life at Southern Illinois University in United States

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about Master of Science in Electrical and Computer Engineering at Southern Illinois University

Can I work while studying?

International students can work up to 20 hours per week during term time and full-time during breaks. On-campus work does not need separate permits.

What English language score do I need for this course?

Applicants must meet specific English language proficiency requirements. Acceptable tests include Duolingo with a minimum overall score of 115, TOEFL with a minimum overall score of 80, and IELTS with a minimum overall score of 6.5.

What jobs can I get after studying this course?

Graduates can pursue roles such as Electrical Engineer, Computer Systems Engineer, Wireless Communication Specialist, and Technical Project Manager.

What will I actually study in this course?

This program covers essential topics such as hardware design and wireless communication, equipping students with the skills to handle complex engineering challenges. It offers both a thesis and a non-thesis track to suit different learning preferences.

When can I start — what are the intake months?

The Master of Science in Electrical and Computer Engineering program has intake months in January and August. Prospective students should prepare their applications for these times.
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