The Department of Applied Data Science offers interdisciplinary programs in data analytics, data engineering, machine learning, deep learning and generative AI, preparing students to meet the growing demand for data science expertise. Located in Silicon Valley, the department is at the forefront of technological innovation, with strong industry connections—over 200 Silicon Valley companies have hired our students for internships and full-time roles. Students benefit from unparalleled opportunities with top tech firms, gaining real-world experience that enhances their academic and professional growth. Our GPU labs support advanced teaching in AI, machine learning and large-scale data processing, while collaborations with industry leaders ensure a cutting-edge curriculum with hands-on projects. Beyond the classroom, partnerships with local experts provide mentorship, seminars and project supervision, equipping students with the skills and insights needed to thrive in Silicon Valley and beyond.
MS in Applied Data Intelligence
The demand for data intelligence and AI professionals is growing rapidly. As noted in the World Economic Forum’s Future of Jobs 2023 report, “Demand for AI and Machine Learning Specialists is expected to grow by 40%, or 1 million jobs, as the usage of AI and machine learning drives continued industry transformation.” This surge is fueled by the increasing integration of AI technologies across various industries and business functions. The MS in Applied Data Intelligence program provides a gateway to this dynamic and high-growth field in AI and machine learning.
Dr. Vishnu Pendyala, Assistant Professor in the Department of Applied Data Science, shares how the program prepares students to thrive in the evolving landscape of AI-powered technologies and data-driven decision-making. Watch Dr. Pendyala’s video to learn more about the program’s insights and opportunities.
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