Note: Applicants interested in this concentration will apply to our general Analytics track in the graduate admissions portal. Once admitted, students will use the suggested pathways below to customize their course plans in accordance to their educational/professional background and aspiring career goals.
Analytics Pathways
To assist students coming in with experiences in science or business areas, we have created pathways within the Analytics concentration to build on the student’s existing skills. All Analytics students must take the core business and science (analytics) courses, but within each pathway, students have required electives to assist in their professionally guided curriculum. Your advisor will work with you to come up with your professionally guided curriculum based on your experience, professional background, and career goals.
For students with a background in Engineering, Analytics, Computer Science, Mathematics, Statistics, and related areas, the student is guided towards our traditional Technical Analytics track or AI & Analytics track. For students with a background in health/healthcare-related areas (undergrad degree in Biology, Pharmacy, Psychology, Pharmaceutical Sciences, and related areas), students are guided to our Health Informatics pathway.
For students with Finance related areas (undergrad degree in Finance, Business, Economics, Accounting, Business Intelligence, or related areas), students are guided to our Finance Analytics pathway.
For students with general business or management backgrounds, or with an interest in visualization, students are guided to our Business Intelligence & Analytics pathway.
Note that “in-person” sessions or courses listed can usually be attended via remote technology.
16:137:530 Principles of Finance and Accounting (3cr); 16:137:507 Market Assessment & Analysis (3cr); 16:137:502 Principles of Communication & Leadership (3cr); 16:137:500 Ethics (1cr);
16:137:600 Science & Technology Management Capstone (3cr): (Prerequisite Courses: 16:137:502,16:137:507, 16:137:530)
Business Electives
(2 courses = 6 credits)
Analytics Electives
(3 courses = 9 credits)
- Business Analytics Programming OR Business Forecasting
- 16:137:552 Python Methodologies (3cr)
- 1 Elective
- Recommended: 16:137:653/654/655 Externship (unless the student still needs to take Basic Statistics)
- 16:137:563 Basics of AI for Science Professionals (Cr. 3)
- 16:137:562 Applied Artificial Intelligence (AI) from Concept to Market (Cr. 3)
Business Electives
(2 courses = 6 credits)
Analytics Electives
(3 courses = 9 credits)
- 16:137:562 Applied Artificial Intelligence (AI) from Concept to Market (Cr. 3)
- 2 Electives
- Recommended: 16:137:653/654/655 Externship (unless the student still needs to take Basic Statistics)
- 16:137:563 Basics of AI for Science Professionals (Cr. 3)
Business Electives
(2 courses = 6 credits)
Analytics Electives
(3 courses = 9 credits)
- 16:137:552 Python Methodologies (3cr)
- 2 Electives
- Recommended: 16:137:653/654/655 Externship (unless the student still needs to take Basic Statistics)
- 16:137:563 Basics of AI for Science Professionals (Cr. 3)
- 16:137:543 Data Storytelling (Cr. 3)
- 16:137:562 Applied Artificial Intelligence (AI) from Concept to Market (Cr. 3)
Business Electives
- 16:137:553 Business Intelligence with Visual Analytics (3cr)*
- 17:610:535 Competitive Intelligence (3cr)
- Additional elective options listed here.
Analytics Electives
- 16:137:552 Python Methodologies (3cr)
- 16:137:541 Enterprise Software Architecture (3cr) OR 16:137:560 Fundamentals of Systems Engineering for Engineering Management (3cr)
- 16:137:531 Introduction to User Experience Design (UXD) (3cr)
- 16:137:563 Basics of AI for Science Professionals (Cr. 3)
- 16:137:562 Applied Artificial Intelligence (AI) from Concept to Market (Cr. 3)
Business Electives
Analytics Electives
- 16:137:552 Python Methodologies (3cr)
- 2 Electives
- Recommended: 16:137:653/654/655 Externship OR 16:198:520 Introduction to Artificial Intelligence (3cr) (unless the student still needs to take Basic Statistics)
- 16:137:563 Basics of AI for Science Professionals (Cr. 3)
Business Electives
(2 courses = 6 credits)
- 16:790:583 Public Health Infrastructure and National Security (3cr)
- 22:390:670 (or equivalent) Risk Management (3cr)
- 16:790:575 Global Politics of Internet Security (3cr)
- 16:790:558 Politics of Cyber Warfare (3cr)
- Additional elective options listed here.
Analytics Electives
(3 courses = 9 credits)
- 16:137:561 Essentials of Cybersecurity and Secure Systems (3cr);
- 16:137:563 Basics of AI for Science Professionals (Cr. 3)
- 16:137:543 Data Storytelling (Cr. 3)
- 16:137:562 Applied Artificial Intelligence (AI) from Concept to Market (Cr. 3)
- 26:198:645 Data Privacy (3cr)
- 17:610:582 Information Policy (3cr)
- 26:198:643 Information Security (3cr)
- 17:610:567 Information Security Management (3cr)
- 16:790:### Cyber Security and Artificial Intelligence (3cr) (Special Topics in Polical Science if and when taught)
- 16:540:594 Risk Analysis and Mitigation (3)
- 16:540:505 Engineering Decision Making under Uncertainty (3)
Business Electives
- 16:137:606 — Special Topics: Sustainability: Supply Chain Management Green Purchasing (Cr. 3)
- 16:137:525 - Introduction to Product Design and Development
- 34:970:553 Transportation and Environment (3)
- 34:970:554 Transportation and Land Use (3)
- 34:970:559 Transportation Risk and Security (3)
- Additional elective options listed here.
Analytics Electives
- 16:540:594 Risk Analysis and Mitigation (3)
- 34:970:591 Introduction to Geographic Information Systems for Planning and Policy (3)
- 16:540:594 Risk Analysis and Mitigation (3)
- 16:540:505 Engineering Decision Making under Uncertainty (3)
- 16:137:563 Basics of AI for Science Professionals (Cr. 3)
- 16:137:562 Applied Artificial Intelligence (AI) from Concept to Market (Cr. 3)
Business Electives
Analytics Electives
- 16:137:531 Introduction to User Experience Design (UXD) (3cr)
- 16:137:532 Contextual Inquiry (3cr) (Prerequisite - 16:137:531)
- 16:137:533 Visual Design for User Experience (UX) (3cr)*
- Externship Experience I
- 16:137:565 Information Architecture
- 16:137:563 Basics of AI for Science Professionals (Cr. 3)
- 16:137:562 Applied Artificial Intelligence (AI) from Concept to Market (Cr. 3)
*16:137:553 Business Intelligence with Visual Analytics (3cr) is REQUIRED for all Analytics students and counts as a business elective.
*22:799:691 Project Management (3cr) OR 16:137:508 Science-Based Project Management (3cr) for Sci/Tech (3cr) can be taken.
16:137:552 Python Methodologies (3cr) is required in the first semester for any students who have never taken a programming course for academic credit.
01:960:484 Basic Statistics or 01:960:401 Basic Statistics for Research is required in the first semester for any students who have never taken an undergrad or higher-level statistics, biostatistics, or business statistics for academic credit and/or not received at least a B or better academic score in their course.
Degree Requirements
In addition to 19 credits of business courses and 24 credits of science courses, all MBS concentrations require additional degree requirements. See here for the full list of degree requirements.
If you have questions about the program curriculum, please contact the concentration coordinator(s) or request an appointment with an advisor.