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x remove Artificial Intelligence, B.S. x remove Applied Data Analytics Undergraduate Certificate, adult online
Credits Required
120
18
Format
Face To Face
Online
Location

Undergraduate students in this major study at Grand Valley's Allendale Campus.

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Classes are offered fully online.

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Coursework

The AI program consists of core computer science classes, along with specialized applications. You will learn:

  • Artificial intelligence
  • Artificial intelligence systems
  • Computer vision
  • Ethics and bias
  • Human-centered computing
  • Natural language processing
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The applied data analytics certificate is comprised of 18 credits:

  • STA 215 - Introductory Applied Statistics
  • STA 323 - Predictive Analytics
  • STA 340 - Statistics in the Media OR ECO 300 - Data Analytics for Economics & Business
  • CIS 160 - Learn to Code in Python
  • CIS 320 - Visualization of Data and Information
  • CIS 331 - Data Analysis Tools and Techniques OR MGT 477 - Applied Business Intelligence
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Career Options

Job opportunities in the AI industry are growing rapidly, particularly in occupations such as:

  • Machine learning engineer
  • Data engineer
  • Software engineer
  • AI engineer
  • Data scientist
  • Robotics engineer

Top companies hiring AI engineers:

  • Deloitte
  • Ford Motor Company
  • Altair
  • Meta
  • General Motors
  • Capgemini
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In today's marketplace it is important to have an understanding of business analytics and data analysis. Earning a certificate in data analytics is a good way for you to add the basic understanding of data analytics and its professional application to your expanding skillset in an accelerated 6-week format. Course credits from the data analytics certificates can be applied toward a bachelor's degree; please reach out to our advisors if you wish to explore this idea further.

Earning this undergraduate certificate in applied data analytics will enhance your career skills by:

  • Enhancing productivity through understanding fundamental data use
  • Improving your ability to make data driven decisions making using appropriate data
  • Predicting and defining emerging trends
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Application Deadline
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Skills Employers Want
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