Engineering Sciences MS: Focus on Internet of Things

IOT Device.
microchip.
Lab group with chip.

The Internet of Things (IoT) is the network of physical objects—devices, vehicles, buildings and other items—embedded with electronics, software, sensors, and network connectivity that enables these objects to collect and exchange data.

Engineering Sciences MS (Focus on Internet of Things)

This innovative program is designed to meet high employer demand for experts that can engineer new interactive services, acquire, fuse, and process the data collected from sensors, actuators, controllers, and other devices, and develop architectures to interconnect these elements as part of larger, more diverse systems.

Potential careers in this rapidly evolving area encompass industry sectors ranging from energy, healthcare, transportation, infrastructure, to manufacturing.  Students will be trained in in a wide range of IoT technologies, architectures, and solutions applicable to different domains, and will have the opportunity to develop skills and advanced knowledge in areas such as data analytics, IoT architecture, and distributed application development.

The degree is flexible enough to allow students to further focus their interest utilizing the many elective options, and culminates in a portfolio of work, that is assess and showcases the skills acquired throughout the program. Classes are modestly sized and emphasize best classroom practices while employing online resources to reinforce the classroom experience.

Entrance Requirements

  • Bachelors degree in Electrical Engineering, Computer Engineering, Computer Science or a closely related field.
  • Undergraduate Grade Point Average: equivalent of a B or 3.0 (on a US scale) average or better from a regionally accredited institution.
  • GRE is not required.

Degree Program Specifics

Students will take 10 courses for a total of 30 credits.  Most students complete the program in three semesters.

For questions on the degree requirements, please contact eegradapply@buffalo.edu

Course Options

We consider IoT to have mainly two parts: the Internet and the Things:

- For the Internet, students focus on courses in communications and networking.

- For the Things, students become familiar with hardware (courses in sensors, embedded systems, antennas/RF, power systems). 


Core Courses:

EE 526 Wearable and Implantable Sensors

EE 534 Principles of Networking

EE 538 Principles of Modern Digital Communications

EE 541 Energy Storage

EE 701: Special Topics: Internet of Things

 

Elective Courses:

EE 516 Introduction to Digital Signal Processing

EE 530 Fundamentals of Solid State Devices 

EE 531 Probability and Stochastic Processes for Engineering

EE539 Principles of Information Theory and Coding

EE 549 Analog Integrated Circuits Layout

EE 569 RF & Microwave Circuits 

EE 574 RF & Microwave Circuits 2

EE 553 Microelectronic Fabrication Laboratory

EE 559 Big Data Analytics

EE 567 Power Electronics

EE 620 MIMO Wireless Communications

CSE 508 Programming with Python

CSE 516 Commerce Technology

CSE 524 Realtime & Embedded Systems

CSE 555 Introduction to Pattern Recognition

CSE 565 Computer Security

CSE 566 Wireless Networks Security

CSE 570 Introduction to Parallel and Distributed Processing

CSE 574 Introduction to Machine Learning

CSE 603 Parallel & Distributed Processing

CSE 626 Data Mining

CSE 642 Techniques of Artificial Intelligence

CSE 676 Deep Learning

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