Colorado School of Mines

How this program compares

Colorado School of Mines's MS in Data Science lists about $42K total tuition — roughly 2% below the $42.9K AI master's average (61st percentile in our data). It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: Quantitative bachelor's expected; linear algebra, probability, and programming prerequisites comparable to Mines foundational CS coursework—verify exact prerequisite substitutions on the program site.

About This Program

STEM-heavy MSDS bridging statistics and computing at Mines with flexibility to steer electives toward applied science and engineering domains. Coursework concentrates on Machine Learning and Data Science. Most students complete it in about 2 years.

At roughly $42K total, Colorado School of Mines's MS in Data Science sits below the $42.9K average among AI master's programs we track — the 61st percentile on price. That puts it in the mid-range on price among comparable programs.

It is one of 17 AI-related programs we track in Colorado, of which about 65% offer an online option. On price, it comes in higher than about 65% of the Colorado programs in our data, where typical tuition runs near $36.0K.

Graduates frequently move into roles such as Data Scientist, with reported salaries around $112,590 — actual offers vary..

Statistical modeling and core statistical learning methods.

Career Outcomes

Graduates of Colorado School of Mines's MS in Data Science most often target Data Scientist roles, where reported compensation runs around $112,590 — actual offers vary.. Its focus on Machine Learning and Data Science maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 36% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Data Scientist
• 2. ML Engineer
• 3. Analytics Engineer
• 4. Research-oriented industry scientist
• 5. PhD pathway

What You'll Learn

• Statistical modeling and core statistical learning methods.
• Machine learning pipelines from introductory through advanced coursework.
• Computational methods suited to large-scale data workflows.
• Domain-informed elective sequencing approved by program governance.

Curriculum Highlights

Coursework-only MSDS structured as thematic modules spanning statistical modeling, machine learning / algorithms / parallel computation, and individualized domain electives—confirm credit totals and mini-module professional-development requirements in the official catalog language.

Top Employers

Energy, geoscience-adjacent analytics, federal labs, Denver-area tech—confirm internship and placement signals via Mines career reporting.

Admissions

Admission to Colorado School of Mines's MS in Data Science generally expects a bachelor's degree. Plan for the GRE, which this program lists as verify departmental policy. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: Typically required—confirm count
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions