Data Science, MS Technology Entrepreneurship Specialization

Entrepreneurship involves creating a new business or business function where one did not exist before. Advances in science and technology spur innovation, giving existing, resource-rich companies a chance to reinvent themselves, often moving into new markets. These advances, many of them emerging from data science, machine learning, and artificial intelligence, provide an opportunity for individuals and firms to build new organizations or startups. The technology entrepreneurship specialization shows students the path to building a successful, innovation-driven startup.


Core Courses (8 units)

Course Title
MSDS 400-DLMath for Modelers
MSDS 401-DLApplied Statistics with R
MSDS 420-DLDatabase Systems
MSDS 422-DLPractical Machine Learning
MSDS 460-DLDecision Analytics
MSDS 485-DLData Governance, Ethics, and Law
MSDS 498-DLCapstone Class
or MSDS 590-DL Thesis Research
Any one of the following: 1
Research Design for Data Science
Data Science and Digital Transformation
Technology Entrepreneurship
Management Consulting
Accounting and Finance for Technology Managers
Project Management
Business Process Analytics
Business Leadership and Communications

Students need to choose one of these eight course options to fulfill the business, leadership, communication requirement.


Specialization Courses (4 units)

Course Title
MSDS 470-DLTechnology Entrepreneurship
MSDS 474-DLAccounting and Finance for Technology Managers
Any two electives
Research Design for Data Science
Data Science and Digital Transformation
Supervised Learning Methods
Unsupervised Learning Methods
Times Series Analysis and Forecasting
Python for Data Analysis
Data Engineering with Go
Foundations of Data Engineering
Analytics Application Engineering
Analytics Systems Engineering
Full-Stack Data Engineering
Data Pipelines and Stream Processing
Marketing Analytics
Financial Machine Learning
Web and Network Data Science
Natural Language Processing
Applied Probability and Simulation Modeling
Data Visualization
Sports Performance Analytics
Sports Management Analytics
Artificial Intelligence and Deep Learning
Knowledge Engineering
Computer Vision
Intelligent Systems and Robotics
Management Consulting
Business Process Analytics
Business Leadership and Communications
Special Topics in Data Science

About the Final Project

As their final course in the program, students take either a master's thesis project in an independent study format or a classroom final project class in which students integrate the knowledge they have gained in the core curriculum in a team project approved by the instructor. In both cases, students are guided by faculty in exploring the body of knowledge of data science. The master’s thesis or capstone class project count as one unit of credit.

Course Title
Choose one
Capstone Class
Thesis Research