Advances in machine learning algorithms, growth in computer processing power, and access to large volumes of data make artificial intelligence possible. Recent advances flow from the development of deep learning methods, which are neural networks with many hidden layers. Artificial intelligence builds on machine learning, with computer programs performing many tasks formerly associated with human intelligence. Students in this specialization learn how to move from the traditional models of applied statistics to contemporary data-adaptive models employing machine learning. Students learn how to implement solutions in computer vision, natural language processing, and software robotics.
Curriculum
Core Courses (8 units)
Specialization Courses (4 units)
Course List
Course |
Title |
MSDS 453-DL | Natural Language Processing |
MSDS 458-DL | Artificial Intelligence and Deep Learning |
| 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 and Risk Analytics |
| Web and Network Data Science |
| Advanced Modeling Techniques |
| Data Visualization |
| Sports Performance Analytics |
| Sports Management Analytics |
| Knowledge Engineering |
| Computer Vision |
| Intelligent Systems and Robotics |
| Analytics Entrepreneurship |
| Analytics Consulting |
| Accounting and Finance for Analytics Managers |
| Project Management |
| Data Governance, Ethics, and Law |
| Special Topics in Data Science |
| Independent Study |
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 List Course | Title |
| Capstone Class |
| Thesis Research |