Data Analytics & Machine Learning Concentration

Overview

Do you want to build intelligent systems that can analyze data, recognize patterns, and make data-driven decisions? Students in this concentration use these computer science techniques as a basis for exploring how machines learn, reason, and interpret information to solve complex, real-world problems.

Credits

Total to Graduate: 120

  • Core Major Courses: 33-36 credits
  • Concentration Courses: 27 credits
  • University Core Courses and Electives: 57-60 credits

Courses

The core courses for all computer science majors include topics in programming fundamentals, data structures, object-oriented programming, agile development, algorithms, discrete structures, probability, software engineering, and more.

A few of the concentration courses include:

  • CS 326 Foundation of AI
  • CS 418 Database Design 
  • CS 421 Data Analytics
  • CS 455 Data Mining and Machine Learning
  • CS 466 New Trends in AI

 VIEW COURSE CATALOG

 Computer Requirements

Students majoring in computer science will need a laptop computer. Please view information about the department’s recommendations for laptop specifications. Freshman classes take place in departmental computer labs, but most students prefer to work on homework and projects on their own computers.

The CS program has equipped me with the ability to use problem solving skills on a daily basis to overcome challenges. I’m looking forward to using my CS degree to benefit my community.

– Beethoven Meginnis, ’24

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Take the Next Step

Do you want to learn more about our program or have questions about the application process or financial aid? We’re here to help! One of the best ways to understand why Ball State is right for you is to schedule a visit through our Office of Undergraduate Admissions to see it for yourself. Or if you’d like to speak directly to someone in our department, please feel free to call or email us.

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