The Signal Processing and Machine Learning MS program educates students in the foundations of data science theory and methods. Graduates of this program will be poised to immediately participate in data analysis tasks in a variety of application domains using tools based in linear algebra, statistics, and optimization. The coursework includes a summer practicum that gives students hands-on experience with real-world datasets. The Signal Processing and Machine Learning (SPML) program is intended for students looking for a jump-start on a career in data science, with a passion for quantitative thinking, practical problem solving, computer programming, and applications to a variety of domains. It is designed for students ready for the rigors of a 12-16 month accelerated program. Extremely well-prepared students can complete the program in 12 months. However, many students will find a 16-month timeframe best.