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Digital Signal Processing

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Digital Signal Processing (DSP) techniques and methodology have been widely employed in many applications including video/audio/data communications and networking, medical imaging and computer vision, speech synthesis and coding, digital audio and video, and control of complex systems and industrial processes. With advances in microelectronics and high-speed microprocessors, microcontrollers and DSP processors, many complex DSP algorithms for solving real-world application problems can be implemented in real-time and a cost-effective manner.

This Digital Signal Processing certificate program is designed to provide an understanding of DSP fundamentals, principles, applications, current practices and standards, and emerging trends and developments. This program is intended for software, hardware and system engineers and technical managers who are involved in evaluation, design and development of DSP-based applications.

Program Benefits:
  • Learn to write programs to implement algorithms in C
  • Employ software defined radios using DSP methods
  • Apply DSP techniques to practical systems
  • Grasp DSP processors and architectures
  • Complete the program in as little as nine months (12-15 months if prerequisites are needed)
  • Program can be completed entirely online
Program Highlights:
  • Explore the need for DSP in wireless systems
  • Appreciate the advantages of processing signals digitally to achieve high speed and accuracy
  • Curriculum aligned with industry standards
Demand and Job Prospects:
  • According to the Bureau of Labor Statistics, the median wages for Electrical Engineers is $97,970.00 per year nation wide and $113,140.00 in California
  • For a four year period (2014-2017), Burning Glass Technologies reported a national growth rate of 40% in Engineering and Technology jobs requiring skills in DSP. Projections for 2018 are showing a grown rate of 14% compared to 2017. (source: Burning Glass Technologies)
  • Top companies hiring individuals with DSP skills in the past year nationwide include Boeing, Intel, Apple, Qualcomm, Lockheed Martin, Google, Aerospace, and Northrop Grumman (source: Burning Glass Technologies)
Who Will Benefit:
  • RF Engineers and Technicians
  • Computer Programmers
  • Anyone working with Robotics, Autonomous Vehicles, Cloud Computing, 3D Sensing
  • Signal Processing Engineers
  • Machine Learning Analysts, Developers and Researches
  • Software Developers and Engineers
At a Glance:
  • Number of Courses: Three courses (5 if both prerequisites are included)
  • Total Units: 9
  • Estimated Cost: $2,420 (excludes textbooks and materials)
  • Time to Complete: Nine months (12-15 months if prerequisites are needed)
  • Delivery: All courses are offered online

For more information about this program, please email unexengr@ucsd.edu.

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There will be a $95 fee upon acceptance into the program

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