Master of Science in Applied Data Intelligence

Today, most organizations treat data and AI as strategic assets embedded across functions. The MSADI prepares graduates for careers across industries, including AI engineer, AI software engineer, AI research associate, agentic software engineer, generative AI engineer, and AI data engineer. The MSADI program is developed in partnership with industry experts targeting students from diverse academic and professional backgrounds. Students receive the advanced education necessary to apply data intelligence in order to solve real-world problems by immersing them in the full applied data science process lifecycle. The curriculum emphasizes modern AI (machine learning, deep learning, generative AI and LLM applications, agentic and embodied AI) together with the data engineering and computational foundations required to deploy reliable systems at scale-reflecting Silicon Valley’s demand for talent. Students build portfolios of applied data science projects by leveraging the interrelationship between domain knowledge and AI technologies. Students advance their knowledge and skills through: Identifying domain specific problems, defining requirements, and establishing measurable organizational objectives. Exploring, preparing, visualizing, and governing data with reproducible practices. Bringing together data engineering and computational foundations with ML, deep learning, generative AI (LLMs), agentic and embodied AI, and distributed systems to deliver reliable, real-world descriptive, diagnostic, predictive, and prescriptive systems. Developing, validating, deploying, and monitoring AI systems to meet requirements and objectives responsibly.