Master of Science in Information Systems – Tracks

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Program Tracks

We are pleased to offer our students another way to set themselves apart from the crowd. Program tracks allow you to focus on an in-demand area of interest while receiving a great education in information systems.

  • Tracks appear on your transcript, giving you an advantage when applying to jobs or doctorate programs
  • You can try courses in a few different tracks before choosing
  • You can enroll in as many tracks as you like
  • Tracks are optional
Enrolling In A Track

Choosing a track should happen after you have taken your fundamentals and core courses, so that you have a sense of which areas interest you. We also recommend that you consult with your faculty advisor. A track is not binding. If you do not complete the courses, the track will not appear on your transcript.

Once you are ready to enroll in a track, fill out the following form:

M.S. in IS – On Campus Track Selection Form

 

We currently offer the following tracks. Completing a track requires three courses (9 credits) in each category.

Artificial Intelligence Track

AI is the future, and we want you to be able to help lead the way. A track in artificial intelligence can set you up for a high-paying career across all industries. From an e-commerce site recommending new items for a customer to world governments analyzing risk threats, artificial intelligence can make a difference.

Three of the following:

  • IS 698 Special Topics in Information Systems (3 credits)
  • IS 707 Applications of Intelligent Technologies (3 credits)
  • IS 725 Information Extraction (3 credits)
  • IS 733 Data Mining (3 credits)
  • IS 755 Advanced Artificial Intelligence (3 credits)
  • IS 757 Deep Learning (3 credits)
  • IS 700 Independent Study (3 credits)
  • Any relevant course the GPD may see fit for the track

Data Science Track

Businesses and governments around the world are using data to make decisions. They need you to help them make the right ones. This track will help you learn the fundamentals of data science, one of industry’s most coveted skills.

Three of the following:

  • IS 620 Advanced Database Projects (3 credits)
  • IS 651 Distributed Systems (3 credits)
  • IS 698 Special Topics in Information Systems (3 credits)
  • IS 722 Systems and Information Integration (3 credits)
  • IS 733 Data Mining (3 credits)
  • IS 734 Data Analytics for Cybersecurity (3 credits)
  • IS 777 Data Analytics for Statistical Learning (3 credits)
  • IS 789 Big Data Fundamentals and Techniques (3 credits)
  • IS 700 Independent Study (3 credits)
  • Any relevant course that the GPD may see fit for the track (3 credits)

User Experience Design Track

Have you ever looked at a technology system and thought it could be better or easier to use? The goal of our UX track is an understanding of how humans interact with information technologies and to use this knowledge to improve the lives of those individuals. Taking this track can help enhance your current work and prepare you for a career in user experience, information architecture, and usability.

Three of the following:

  • HCC 629 Fundamentals of HCC (3 credits)
  • IS 698 Special Topics in Information Systems (3 credits)
  • HCC 729 Human Centered Design or HCC 710 Graphic Design for Interactive Systems (3 credits)
  • HCC xxx any additional HCC course (3 credits)
  • IS 700 Independent Study (3 credits)
  • Any relevant course that the GPD may see fit for the track (3 credits)

*Please note that each independent study can only be used towards one track. It would count towards the track closest to the main research area of the supervising faculty member.

 

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