2 Courses and Certifications

CU Boulder Courses & Certifications 2024

  • Ownership: Public/Government
  • Estd. Year: 1876
  • Total Faculty: 2625
Career Category
Specialization
Master of Science in Electrical Engineering

Offered by

Online Degree

Master of Science in Electrical Engineering

The Master of Science in Electrical Engineering Degree course from the University of Colorado Boulder via Coursera is a 2 years online course. It has been divided into 6 focus areas including power electronics, embedded systems, photonics and optics, controls and communications, computer science engineering and radio frequency, electromagnetics, remote sensing, microwaves. The course teaches the foundation of the wireless world along with the workings of antennas and active circuits for radar and communication.

The Master of Science in Electrical Engineering syllabus via Coursera covers a wide range of topics including the interaction between hardware and software. The course explores embedded systems engineering which is vastly used in Industrial automation, transportation, security, defense, and aerospace. The Master of Science in Electrical Engineering online course focuses on power electronics which is the key technology for converting electric power from in different forms. The power electronic course covers the core principles of the power electronics field and explores the knowledge of controlling electrical power by electronic switching devices for the efficient conversion of electrical energy.

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24 Months
Master of Science in Data Science

Offered by

Online Degree

Master of Science in Data Science

The Master of Science in Data Science online course is a 2 years program offered by the University of Colorado Boulder and hosted on Coursera’s learning management system. The course focuses on the basic principles of data science including algorithms and data structure for organizing a large set of data. The course introduces various Data Mining techniques for extracting useful data from a large set of data and organizing raw data in a way to make it useful and analyze the pattern of datasets to train models for making accurate predictions.

The Master of Science in Data Science syllabus encourages students to learn about Statistical inference in which a sample of data is collected to draw a larger conclusion by analyzing the algorithms of the sample data sets. The course covers key topics of data science including Machine learning which is the part of Artificial Intelligence that provides the ability to learn from different input and output data as well as trained and supervised models in order to calculate or predict the result more efficiently.

The online Master of Science in Data Science training course develops decision making skills to solve any challenges in a complex environment with the help of advanced tools and techniques. The course teaches about various types of data visualization, predictive modeling, artificial intelligence and Machine learning. 

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24 Months

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