Master of Science in Data Science, Analytics and Engineering - Human Centered Applications

STEM-classified degree: graduates are eligible for 3 years of Optional Practical Training (OPT) in the USA. ASU’s Ira A. Fulton Schools of Engineering has the largest and most comprehensive engineering program in the USA. There is an increasing need for all engineers to make use of data science tools such as statistics, machine learning, artificial neural networks and artificial intelligence. Yet, the majority of engineering occupations require subject matter expertise beyond data science. The Master of Science program in data science, analytics and engineering with a concentration in human-centered applications provides students with advanced education in high-demand data science and an understanding of human systems. A focus on probability and statistics, machine learning, data mining and data engineering is complemented by courses that focus on human capabilities and understanding human bias to ensure increased breadth and depth in data science applications. Students learn how to address problems such as biases in machine learning that are due to select input data and how to determine useful human feedback for interactive machine learning. The program also covers ethical issues in machine learning applications, and the use of AI to support human weaknesses without hindering human strengths. In interdisciplinary courses, students can work with colleagues to solve client-driven data science problems that address human needs and capabilities.

3.0 GPA or equivalent