Analytics and Applied Artificial Intelligence Master of Science (MSAA)
Transform the world with analytics and AI
In the workforce, the progression of Analytics and AI 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 high demand and transform the world with a Master of Science in Analytics and Applied Artificial Intelligence*.
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 and Applied Artificial Intelligence at DSU puts you right at the center of turning Big Data sets into actionable information.
Apply appropriate Analytics and AI techniques and tools to solve problems. Obtain a good understanding of the cutting-edge AI-informed Analytics solutions. Assess alternative approaches, manage projects, and interpret results of analysis.
Program highlights
- Focus your degree on one of the track options including 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 and Applied AI program learn to present this information in helpful data visualizations.
Learning outcomes
Upon completion of the MS degree 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
