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.
Curriculum
Core Courses (8 units)
Specialization Courses (4 units)
Course List
| Course |
Title |
| MSDS 470-DL | Analytics Entrepreneurship |
| MSDS 474-DL | Accounting and Finance for Analytics Managers |
| Supervised Learning Methods |
| Unsupervised Learning Methods |
| Times Series Analysis and Forecasting |
| Python for Data Analysis |
| Foundations for Data Engineering |
| Analytics Application Engineering |
| Analytics Systems Engineering |
| Real-Time Interactive Processing and Analytics |
| Real-Time Stream Processing and Analytics |
| 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 |
| Analytics Consulting |
| Business Leadership and Communications |
| Data Governance, Ethics, and Law |
| Special Topics in Data Science |