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Throughout society, large and complex digital data has become ubiquitous in science and engineering — it has the potential to solve problems, gain knowledge and make decisions in new ways. The field of data science draws on elements of computer science, statistics and interdisciplinary applications to address the unique needs of gaining knowledge and insight through data analysis. Data science skills open doors to almost any field such as applications in the physical processes and the environment, additive manufacturing, health care, economics and e-commerce. Students will draw on the rich academic and professional resources at Mines through a program that is unique and well-suited for training a future cadre of data scientists and data engineers.
This non-thesis master’s program gives students a foundation in statistics and computer science, while also providing knowledge in a particular application domain of science or engineering. This program follows a 3×3 + 1 design: three modules each consisting of three, 3-credit courses, and a mini-module (three credit hours) devoted to professional skills and enrichment (see the classes here). The balance between these elements is a strength of the program and prepares students for data science careers in industry, government or for further study at the PhD level. Moreover, the application coursework can be flexible and tailored to each student. Training future data scientists in an interdisciplinary fashion unlocks skills that solve problems and gain knowledge in new ways through data-driven discovery and data-supported decision making. This program allows students to either increase their ability in data analytics while developing a focused area of application or to alternatively allow a student with depth in one area of application to gain skills in statistics and computer science.
The data science program consists of a master of data science non-thesis, four graduate certificates, and two post-Baccalaureate certificates in data science.
The Master of Data Science (Non-Thesis) program is designed to give candidates a foundation in statistics and computer science and also provide knowledge in a particular application domain of science or engineering. The balance between these three elements is a strength of the program and can prepare candidates for Data Science careers in industry, government, or for further study at the PhD level. Throughout is an emphasis on working in teams, creative problem solving, and professional development.
The data science certificates are designed for college graduates and professionals interested in the emerging field of data science as applied within their individual fields of study or industries.
News
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A Mines alum, Miskimins has 30 years of experience in the petroleum industry and has led Mines' Petroleum Engineering Department since 2020. - Mines graduates continue to see overwhelmingly positive outcomes
A total of 95 percent of recent Mines alums had positive outcomes after graduation, the newest report shows, up from an already high positive outcome rate of 93 percent in 2021-2022. … - Colorado School of Mines students take top spot at 2024 International Mining Games
A team of Colorado School of Mines students won the women’s division of the 2024 International Mining Games hosted at Montana Technological University. - Colorado School of Mines celebrates 90th Engineering Days
Set for April 11-13, E-Days is one of the most anticipated student events of the academic year. This year is no different as Mines celebrates its 150th anniversary. …