About DSML

White circle with colorful web-like and bar-graph design inside with centered letters DSMLOur Data Science and Machine Learning degree program is designed to equip students with cutting-edge skills in the realms of machine learning, data science, and statistics. The program is hosted in the Department of Computer Science, with courses offered by the Department of Computer Science and the Department of Mathematics. By integrating the expertise and resources of both departments, we offer a unique educational pathway that prepares students to excel in the rapidly evolving field of data science and machine learning. Students will gain a robust understanding of algorithms, data analysis, and predictive modeling. With a curriculum grounded in real-world applications, students will master the art of turning data into insights and intelligence into action, be prepared to tackle complex data challenges and lead innovations in a variety of industries.

Careers

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Students graduating with a Data Science and Machine Learning degree are prepared for a dynamic and evolving career landscape, where they can harness the power of data to drive decision-making, innovate with advanced machine learning models, and transform a wide variety of industries. With a solid foundation in statistical analysis, predictive modeling, and artificial intelligence, these graduates are poised to lead in fields such as finance, healthcare, tech, and beyond, shaping the future with data-driven solutions.

DSML Degree Requirements

FAQ Sheet

The DSML Degree in Comparison to CS and Statistical Science

FAQ Sheet

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Contact Us

The CS Department is excited to assist you on your DSML journey!

The Department of Computer Sciences can be found on the 2nd floor of the AES Bldg.

Campus Map

Phone:

303-615-0399

Email:

[email protected]

Location:

Aerospace and Engineering Sciences (AES) Ste. 200DD, CB 38B

Address:

MSU Denver Computer Sciences

1449 7th St., Ste. 200DD

Denver, CO 80204

Office Hours:

Mon – Thu, 8:30 AM – 4:30 PM         Fri, 8:30 AM – 4:00 PM