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Rise with us

DSU is a place where innovation meets opportunity. We are a nationally recognized leader in technology-driven education, constantly pushing the boundaries of what’s possible. With hands-on learning experiences, expert faculty, and cutting-edge facilities, we prepare you for modern careers. Choose from a wide range of affordable, forward-thinking programs that allow you to shape your own path. Your future begins today.

Majors & Degrees

Analytics and Applied Artificial Intelligence, MS

Credits

30

Start Terms

Fall

|

Spring

|

Summer

Available

On Campus

|

Online

Tuition

$3,365.10

estimated cost per semester

More tuition details

As analytics and AI continue to advance in the workforce, there is a growing demand for professionals with specialized training. The Master of Science in Analytics and Applied Artificial Intelligence (MSAA) program prepares you to identify data-driven challenges and develop analytical solutions.

By choosing to pursue your MSAA degree at DSU, you will learn to transform large data sets into actionable insights using the latest AI technologies and state-of-the-art research facilities. The program emphasizes business applications, enabling you to analyze data for large organizations through business intelligence and data visualization techniques. You will acquire the necessary tools to solve problems, explore alternative approaches, manage projects, and interpret analytical results effectively.

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Program features

Student studying in the Beacom Building on campus

Customize your analytics and applied AI degree

Customize your master's program to your area of interest and career goals with one of the MSAA tracks:

  • Business
  • Healthcare analytics
  • Information systems
  • General
An example of data visualization.

Understanding messy data

Large amounts of data, often referred to as messy data, can be challenging to interpret. However, they also offer valuable opportunities for learning and decision-making. Students in our Master of Science in Analytics and Applied AI program learn to utilize tools like Hadoop, Spark, and Kafka to transform this information into insightful data visualizations.

An example of data visualization.

Outcomes

MSAA Trojan alumni have completed sufficient internships and practical training in AI and big data frameworks. They have advanced to roles as software engineers, data analysts, data scientists, and more, working for major industry partners like:

  • Amazon, eBay, Kroger, Disney
  • T-Mobile, Verizon
  • Bancorp, Citibank, Chase, Wells Fargo
  • Sanford Health, Mayo Clinic, Avera Health

Why choose DSU?

Flexible learning opportunities

Earn your MBA for under $15,000, in two to five years either online or in person for under $15,000. Learn at your own pace with live or recorded classes, online tools, and full support. Study full-time or part-time and finish in 2 to 5 years.

Expertise in innovative technology

We are a leader in data science and AI, offering hands-on learning with cutting-edge tools and real-world innovation in fields like cybersecurity and healthcare. With expert faculty and strong industry ties, DSU prepares you to lead in the evolving world of AI.

Admission requirements & deadlines

  • A bachelor’s degree from an accredited institution.
  • Minimum 2.7 GPA
  • Transcripts showing completion of courses in:
    • Software (SAS, R, Python, Excel, SQL, etc.)
    • Statistical
  • If you don’t meet all requirements, you may still be accepted but might need to take foundational courses.
  • International applicants must have a degree equivalent to a U.S. four-year degree.
  • No GRE is required.

Learning outcomes

Upon completion of the MS in analytics and applied artificial intelligence, students will:

  • Be able to prepare and transform big data sets into actionable information in an easy-to-understand format to support analytics through the use of advanced data processing tools
  • Be able to demonstrate a good understanding of AI concepts, techniques, and their usage in analytics
  • Be able to select the appropriate analytics and AI techniques and apply advanced analytical and AI tools to solve data analytics problems
  • Be able to use information technology and computing languages to implement analytics and AI solutions
  • Be able to assess alternative approaches and infrastructures for implementing big data analytics
  • Be able to manage data analytics projects to ensure delivery of a successful data analytics initiative throughout its life cycle
  • Be able to interpret the results of the analysis

Faculty