Masters of Science in Computer Engineering - Signal Processing and Machine Learning in Lexington United States | University of Kentucky

University of Kentucky | Lexington United States
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Qualification
Masters Degree
Languages
English
Delivery Mode
On-Campus
Tuition (2025)
USD 33,548
Attendance
Full-time
Full-time Duration
18 months

The rapid advancement of artificial intelligence and machine learning is driving transformative innovations across healthcare, aerospace, industrial production, and consumer technologies. ECE researchers are pioneering brain-computer interfaces to restore vision and mobility, while also developing immersive virtual reality systems for physical rehabilitation and autism therapy. In acoustic signal processing, scientists employ subsonic frequencies to detect product flaws and identify pests in agricultural shipments like apple harvests without causing harm. Language technology experts are leveraging speech recognition systems to build educational tools that enhance pronunciation and fluency for non-native speakers. Imaging specialists are creating computational photography techniques that boost video quality, generate 3D models from 2D images, and utilize structured light with hyperspectral imaging to advance 3D scanning and visual data analysis.


Destination of Study

Subjects of Study

Language Requirements

English
IELTS 6.5

Qualification Requirements

CV (Optional)
Personal Statement
BS transcript from an ABET or CSAB accredited program in Computer Engineering, Computer Science, or Electrical Engineering.
Assistantship Application (Optional)
GRE
Three letters of recommendation
A 3.0 GPA in the accredited undergraduate program in Computer Engineering, Computer Science, or Electrical Engineering. For the Graduate School, the minimum acceptable TOEFL score is 550 (paper-based) 213 (computer-based), or 79 (internet-based). The minimum IELTS score is 6.5 An overall grade point average of 2.75 on undergraduate work and 3.00 on all graduate work is required by the Graduate School.

Tuition USD 33,548

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