Master of Science in Embedded Systems

Build expertise in Edge AI, TinyML, and real-time cyber-physical systems to pioneer autonomous robotics, smart medical devices, and next-gen intelligent hardware. The MS in embedded systems prepares the next generation of technical leaders to drive innovation in embodied intelligence and edge computing. This program is designed for engineers seeking core R&D and leadership roles in smart devices, autonomous systems, medical robotics, and semiconductor applications.

Re-engineered to meet contemporary industry demands, the curriculum focuses on Edge AI Inference & Model Quantization, Hardware-Software Co-Design, Real-Time Operating Systems (RTOS), and Intelligent Sensor Networks.

To be considered for admission to the Embedded Systems MS program, candidates must fulfill the following requirements:

Complete an online graduate application.

Submit copies of official transcript(s) (in English) of all previously completed undergraduate and graduate course work, including any transfer credit earned.

Hold a baccalaureate degree (or US equivalent) from an accredited university or college in engineering technology, engineering, or a related area. A minimum cumulative GPA of 3.0 (or equivalent) is recommended.

Satisfy prerequisite requirements and/or complete bridge courses prior to starting program coursework.

Submit a current resume or curriculum vitae.

Submit a personal statement of educational objectives.

Submit two letters of recommendation.

Entrance exam requirements: None