Business Courses
A total of 19 credits are required in the business curriculum. Six courses are required - all but one of the courses are for 3 credits each.
- 16:137:502 Principles of Communication and Leadership (3cr)
- 16:137:530 Principles of Accounting and Finance for Science and Technology (3cr)
- 16:137:507 Market Assessment and Analysis for Business and Science - Life Sciences (3cr)
- 16:137:500 Ethics in Science and Technology Management (1cr)
- 16:137:601 Project Management (Cr. 3)
- 16:137:600 Science and Technology Management Capstone (3cr)
- Prerequisite Courses: 16:137:502, 16:137:507, 16:137:530
Business Electives:
Choose one from the following list of electives.
- 16:137:563 Basics of AI for Science Professionals (Cr. 3)
- 16:137:543: Data Storytelling (Cr. 3)
- 16:137:608/609/610 Professional Internship (Cr. 3)
- 16:137:611/612/613 Research Internship (Cr. 3)
- 16:137:650 Topics in Management (Cr. 3)
- 16:137:653/654/655 Externship Experience I (Cr. 3)
Science Courses
A total of 24 credits are required in the science curriculum. The 8 science Technology Management courses are divided into 4 core courses, and 4 electives. Core topics are shown below with courses that fulfill the requirements (other courses may also be substituted, please see your advisor.)
Core Courses
Required Science Courses:
Database Management (Choose One):
- 16:137:538 Database and Data Warehousing (3cr)*
- 16:137:539 Introduction to Cloud and Big Data Systems (3cr)
IT Software Architecture
Programming Languages
Artificial Intelligence:
- 16:137:562 Applied Artificial Intelligence (AI) from Concept to Market**
*May be waived if the student has previously completed a database course at the undergraduate level.
** Prereq 16:137:552 Python Methodologies
Science Electives
Choose 4 electives.
Skill: Programming & AI
- 16:137:564 Frontend Programming & Development (3 cr)
- 16:137:563 Basics of AI for Science Professionals (3 cr)
- 16:137:537 Mobile App Development from Concept to Market (3 cr)
Skill: Data Visualization & Data Storytelling
Skill: Cloud Computing
Skill: Cybersecurity
Skill: Linux Operating System
Skill: User Experience Design and Product Design
- 16:137:531 Introduction to User Experience Design (3cr)
- 16:137:525 Introduction to Product Design (3cr)
- 16:137:526 Product Experience Design & Innovation (3cr)
Other Electives
- 56:198:501: Data Structures and Algorithmic Problem Solving in Python
- 17:610:570 Management Principles in Information Organizations (Cr. 3)
- 50:198:547 Network Security (Cr. 3)
- 16:198:518 - Operating Systems Design
- 16:790:559 Cyber Security and Artificial Intelligence (3cr)
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.
Business Courses
A total of 19 credits are required in the business curriculum. Six courses are required - all but one of the courses are for 3 credits each.
- 16:137:502 Principles of Communication and Leadership (3cr)
- 16:137:530 Principles of Accounting and Finance for Science and Technology (3cr)
- 16:137:507 Market Assessment and Analysis for Business and Science - Life Sciences (3cr)
- 16:137:500 Ethics in Science and Technology Management (1cr)
- 16:137:601 Project Management (Cr. 3)
- 16:137:600 Science and Technology Management Capstone (3cr)
- Prerequisite Courses: 16:137:502, 16:137:507, 16:137:530
Business Electives:
Choose one from the following list of electives.
- 16:137:563 Basics of AI for Science Professionals (Cr. 3)
- 16:137:543: Data Storytelling (Cr. 3)
- 16:137:608/609/610 Professional Internship (Cr. 3)
- 16:137:611/612/613 Research Internship (Cr. 3)
- 16:137:650 Topics in Management (Cr. 3)
- 16:137:653/654/655 Externship Experience I (Cr. 3)
Science Courses
A total of 24 credits are required in the science curriculum. The 8 science Technology Management courses are divided into 4 core courses, and 4 electives. Core topics are shown below with courses that fulfill the requirements (other courses may also be substituted, please see your advisor.)
Core Courses
Required Science Courses:
Database Management (Choose One):
- 16:137:538 Database and Data Warehousing (3cr)*
- 16:137:539 Introduction to Cloud and Big Data Systems (3cr)
IT Software Architecture
Programming Languages
Artificial Intelligence:
- 16:137:562 Applied Artificial Intelligence (AI) from Concept to Market**
*May be waived if the student has previously completed a database course at the undergraduate level.
** Prereq 16:137:552 Python Methodologies
Science Electives
Choose 4 electives.
Skill: Programming & AI
- 16:137:564 Frontend Programming & Development (3 cr)
- 16:137:563 Basics of AI for Science Professionals (3 cr)
- 16:137:537 Mobile App Development from Concept to Market (3 cr)
Skill: Data Visualization & Data Storytelling
Skill: Cloud Computing
Skill: Cybersecurity
Skill: Linux Operating System
Skill: User Experience Design and Product Design
- 16:137:531 Introduction to User Experience Design (3cr)
- 16:137:525 Introduction to Product Design (3cr)
- 16:137:526 Product Experience Design & Innovation (3cr)
Other Electives
- 56:198:501: Data Structures and Algorithmic Problem Solving in Python
- 17:610:570 Management Principles in Information Organizations (Cr. 3)
- 50:198:547 Network Security (Cr. 3)
- 16:790:559 Cyber Security and Artificial Intelligence (3cr)
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.