Home ― Master of Science in Analytics (MSA)

Master of Science in Analytics (MSA)

Transform the world with analytics

In the workforce, the progression of Analytics and Data Science careers continues to grow. Professionals with advanced training are needed to solve crucial data-driven issues and assist with analytic-driven decisions. Join a multidisciplinary field with great demand and transform the world.

Elevate your knowledge with the newest AI technology, like Machine Learning and Deep Learning. Discover Big Data Analytics using Hadoop, Spark, and Kafka, business intelligence, data visualization, and more. Earning your Master’s degree in Analytics at DSU puts you right at the center of turning Big Data sets into actionable information.

Apply appropriate techniques and tools to solve issues. Modify big data sets into actionable information. Obtain a good understanding of information technology and computer languages. Assess alternative approaches, manage projects, and interpret results of analysis.

Student studying in the Beacom Building on campus

Program highlights

Focus your degree on one of the track options including Artificial Intelligence, business, health care analytics, information systems, and general.
Earn your degree on-campus or online.
Sufficient internship and practical training opportunities with our industry partners.
15+ practical Analytics, AI and Big Data tools and frameworks to make you job-ready.
Close to 100% placement. Our graduates have been hired by companies such as Amazon.com, US Bancorp, Disney, Sanford Health, etc.

Understanding messy data

Large amounts of data – referred to as messy data – can be hard to understand, but they also present opportunities to learn and make decisions. Students in our Master of Science In Analytics program learn to present this information in helpful data visualizations.

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Learning outcomes

Upon completion of the MS degree in Analytics, 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 select the appropriate analytics techniques and apply advanced analytical tools to solve data analytics problems
Be able to demonstrate a good understanding of using information technology and computing languages to implement analytics 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