
Master of Science - Data Science and Analytics







About Master of Science - Data Science and Analytics
The Masters in Data Science and Analytics (MSDSA) is a joint effort between the Department of Mathematics and Statistics and the Department of Computer Science to create a blended curriculum providing a relevant and applicable treatment to the evolving and complex field of Data Science.
The MSDSA is open to students with a Bachelor's degree that have a strong interest in pursuing a programming approach to solving problems using data. CSU - Chico believes that Data Science is useful for everyone, and anyone can learn the mathematics, statistical and programming skills needed to tell a compelling story with data, whether that be for business operations, public policy, or environmental research. Students lacking preparation in one or more areas can take the required prerequisite courses after being admitted.
With tracks in Applied Analytics and Machine Learning, graduates will be able to seek a variety of data-centric careers in an application field of their choosing.
- The Applied Analytics track can be thought of as a “breadth” or “applied track”, where the focus is for students to collaborate closely with researchers or companies in a domain specific field. Students in this track could be employed in positions where they are the “data person” on a team.
- The Machine Learning track is for students who want to further explore the mathematical and computational underpinnings of the statistical, machine learning and artificial intelligence models being used, including the computational infrastructure that supports big data analysis and cloud computing. Leveraging their more technical backgrounds students in this track will learn how to develop, implement, and integrate algorithmic solutions using massive amounts of data based on artificial intelligence, machine learning, or statistical analysis methods.
By offering a MS in data science and analytics with both an applied “breadth” track and a more targeted “depth” track with a strong overlap in core concepts and classes, we welcome students from a broad range of majors and domain interests such as nutrition, agriculture, bioinformatics, journalism, political science and even the digital humanities. Students with backgrounds in technical areas such as mathematics, statistics, or computer science, the machine learning track will provide deeper and more technical training that would prepare them for high paying jobs in tech.
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