Program Master of Science in Electrical Engineering - Internet of Things University of California, Riverside (Engineering)

Master of Science in Electrical Engineering - Internet of Things

Amerika Serikat

Apa yang akan saya pelajari?

Advances in networking, sensing and embedded computing have ushered in the dawn of the age of Internet of Things (IoT), where our living and working spaces are made up of smart interconnected devices that sense and adapt to our needs. As part of your Electrical or Computer Engineering MS program at UC Riverside can be trained with the diverse topics that you need to become a professional in this exciting area. A typical course plan that will prepare you for a career in IoT include: Networking and communication Embedded computing and real-time systems Sensing and Cyberphysical systems Machine Learning and Pattern Recognition Big data systems and algorithms

Pilihan kuliah

Purna Waktu (2 semester)

Biaya kuliah
US$38.432,00 (Rp 602.229.443) per tahun
UC Student Service Fee - 418
Batas akhir pendaftaran

01/12/2026

Tanggal mulai

Maret 2027

Tempat

Main Campus

446 Winston Chung Hall 900 University Ave.,

Riverside,

California,

92521, West, United States

Purna Waktu (2 semester)

Biaya kuliah
US$38.432,00 (Rp 602.229.443) per tahun
UC Student Service Fee - 418
Batas akhir pendaftaran

Direncanakan June 2027

Tanggal mulai

September 2026

Tempat

Main Campus

446 Winston Chung Hall 900 University Ave.,

Riverside,

California,

92521, West, United States

Persyaratan masuk

Untuk mahasiswa internasional

A Bachelor of Science (B.S.) degree from an accredited institution or its equivalent in any areas of engineering or in the related areas of Mathematics, Physics, Chemistry, Material Sciences and Computer Sciences. The degree must represent the completion of a program equivalent both in the distribution of academic subject matter and scholarship achievement comparable to that offered at the University of California. Interested students should be able to demonstrate knowledge and proficiency in the subjects closely related to their intended specialization that are normally taught in an undergraduate engineering program such as: Mathematics (Calculus, differential equations and complex variables), Circuits and electronics, Signals and systems, Communication and signal processing, logic design, digital systems and microsystems, Control systems; and at least one major high-level programming language and associated programming techniques area.

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