The AI and Data Analytics specialization focuses on data mining and analytical techniques, big data management, storage, and modeling. The objectives consist of enabling students to process big data in an effective and efficient way, discover knowledge patterns in big data, build predictive models, and use big data to answer business questions.
The MSBA is a 10-course, 30-credit degree program. To receive the MSBA, students must complete a minimum of 10 courses: Analytical Core, MSBA Electives, and the MSBA Capstone. One (1) prerequisite course must be satisfied or waived through prior relevant coursework, based on a review of transcripts.*
Core Courses (12 Credits)
- MSIS 642 - Multivariate Statistics and Regression Analysis 3 Credit(s)
- MSIS 670 - Enterprise Business Intelligence 3 Credit(s)
- MSIS 672 - Introduction to Machine Learning 3 Credit(s)
- MBAMS 638 - Management Decision Models 3 Credit(s)
Track Courses (15 Credits)
Complete five courses from below.
- MBAMGT 698 - Practicum 1-3 Credit(s)
- MSIS 615 - Business Programming 3 Credit(s)
- MSIS 618 - Database Management 3 Credit(s)
- MSIS 643 - Decision and risk analysis 3 Credit(s)
- MSIS 656 - Information Storage Management 3 Credit(s)
- MSIS 671 - Enterprise Data Warehousing for Business Intelligence 3 Credit(s)
- MSIS 680 - Advanced Machine Learning and Artificial Intelligence 3 Credit(s)
- MSIS 682 - Linear Programming 3 Credit(s)
- MSIS 685 - Introduction to Big Data Analytics 3 Credit(s)
- MSIS 697 - Special Topics 1-6 Credit(s)
Capstone Course (3 Credits)
- MSIS 630 - Project & Change Management 3 Credit(s)
Students may also choose MSIS 690/699 Master's Thesis Option, MSIS 697 Special Topics and MBAMGT 698 Practicum (students must have relevant internship).
For more information on curriculum, including course descriptions and degree requirements, visit the Academic Catalog.