MS Data Science, Analytics and Engineering (Human-Centered Applications)
Course Overview
This Master's program bridges the critical gap between advanced data science and human-centered design, preparing engineers to build ethical and effective AI systems. Students gain deep expertise in machine learning, statistics, and data engineering while learning to address human bias and capabilities. The curriculum culminates in solving real-world problems that integrate technical prowess with an understanding of human needs.
Key Program Highlights
- Master core data science disciplines: statistics, machine learning, data mining, and engineering.
- Learn to identify and mitigate human bias in data and algorithms to build ethical AI.
- Explore the intersection of AI and human-computer interaction for more intuitive systems.
- Tackle client-driven, interdisciplinary capstone projects with real-world applications.
- Gain a competitive edge with a unique specialization in high-demand, human-centered AI.
Course Overview
This Master's program bridges the critical gap between advanced data science and human-centered design, preparing engineers to build ethical and effective AI systems. Students gain deep expertise in machine learning, statistics, and data engineering while learning to address human bias and capabilities. The curriculum culminates in solving real-world problems that integrate technical prowess with an understanding of human needs.
Key Program Highlights
- Master core data science disciplines: statistics, machine learning, data mining, and engineering.
- Learn to identify and mitigate human bias in data and algorithms to build ethical AI.
- Explore the intersection of AI and human-computer interaction for more intuitive systems.
- Tackle client-driven, interdisciplinary capstone projects with real-world applications.
- Gain a competitive edge with a unique specialization in high-demand, human-centered AI.
