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.
Business Courses
A total of 19 credits are required in the business curriculum.
Required Business Courses (16 credits):
- 16:137:500 Ethics in Science and Technology Management (1cr)
- 16:137:502 Principles of Communication & Leadership (3cr)
- 16:137:530 Principles of Finance and Accounting (3cr)
- 16:137:507 Market Assessment & Analysis (3cr)
- 16:137:600 Science & Technology Management Capstone (3cr)
- (Prerequisite Courses: 16:137:502,16:137:507, 16:137:530)
- 16:137:553 Business Intelligence with Visual Analytics (3cr)
Suggested Business Electives (3 credits):
- 16:137:653/654/655 Externship Experience 1 (3cr)
- 16:137:508 Project Management (3cr)
- 16:137:531 Introduction to User Experience Design (UXD) (3cr)
Science Courses
A total of 24 credits are required in the science curriculum
Required Science Courses (15 credits)
- 16:137:550 Fundamentals of Analytics (3cr)
- 16:137:538 Database and Data Warehousing (3cr), OR 17:610:557 Database and Data Warehousing (3cr)
- 16:137:539 Intro to Cloud Computing & Big Data (3cr)
- 16:137:602 Regression Analysis (3cr)
- 16:137:551 Advanced Analytics & Practicum (3cr)
Suggested Science Electives (9 credits)
- 16:137:552 Python Methodologies (3cr)
- 16:137:541 Enterprise Software Architecture (3cr)
- 16:137:560 Fundamentals of Systems Engineering for Engineering Management (3cr)
- 16:137:565 Information Architecture (3cr)
- 16:137:601 AI Engineering (3cr)
- 16:137:561 Essentials of Cybersecurity and Secure Systems (3cr)
- 16:198:520 Intro to Artificial Intelligence (3cr)
The following courses can count for either business or science electives:
- 16:137:608/609/610 Professional Internship (3cr)
- 16:137:611/612/613 Research Internship (3cr)
- 16:137:650/651 Topics in Management and Professional Development: MiniMBA
- 16:137:653/654/655 Externship Experience I (3cr)
Note:
- 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.
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.
Business Courses
A total of 19 credits are required in the business curriculum.
Required Business Courses (16 credits):
- 16:137:500 Ethics in Science and Technology Management (1cr)
- 16:137:502 Principles of Communication & Leadership (3cr)
- 16:137:530 Principles of Finance and Accounting (3cr)
- 16:137:507 Market Assessment & Analysis (3cr)
- 16:137:600 Science & Technology Management Capstone (3cr)
- (Prerequisite Courses: 16:137:502,16:137:507, 16:137:530)
- 16:137:553 Business Intelligence with Visual Analytics (3cr)
Suggested Business Electives (3 credits):
- 16:137:653/654/655 Externship Experience 1 (3cr)
- 16:137:508 Project Management (3cr)
- 16:137:531 Introduction to User Experience Design (UXD) (3cr)
Science Courses
A total of 24 credits are required in the science curriculum
Required Science Courses (15 credits)
- 16:137:550 Fundamentals of Analytics (3cr)
- 16:137:538 Database and Data Warehousing (3cr), OR 17:610:557 Database and Data Warehousing (3cr)
- 16:137:539 Intro to Cloud Computing & Big Data (3cr)
- 16:137:602 Regression Analysis (3cr)
- 16:137:551 Advanced Analytics & Practicum (3cr)
Suggested Science Electives (9 credits)
- 16:137:552 Python Methodologies (3cr)
- 16:137:541 Enterprise Software Architecture (3cr)
- 16:137:565 Information Architecture (3cr)
- 16:137:601 AI Engineering (3cr)
- 16:137:561 Essentials of Cybersecurity and Secure Systems (3cr)
The following courses can count for either business or science electives:
- 16:137:608/609/610 Professional Internship (3cr)
- 16:137:611/612/613 Research Internship (3cr)
- 16:137:650/651 Topics in Management and Professional Development: MiniMBA (3cr)
- 16:137:653/654/655 Externship Experience I (3cr)
Note:
- 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.