The University of Colorado Boulder offers graduate degrees through Coursera, including the data science, computer science, artificial intelligence and engineering management options in this research set. The university awards the degree; Coursera provides a learning platform. This distinction matters when you check academic requirements, enrollment instructions, support and the credential awarded. Do not confuse a noncredit course completion with admission to or completion of the master’s.
How performance-based admission changes the decision
The published routes let learners demonstrate readiness through specified pathway coursework rather than relying only on a traditional application file. The exact courses, grades and degree conditions differ by program. Read the current pathway instructions and distinguish previewing material from paying for the for-credit assessments. A path that does not require a conventional application can still require substantial academic preparation and successful graduate work.
Compare the academic purpose as carefully as the entry route. Computer science, data science and AI overlap but require different breadth and elective choices. Engineering management emphasizes technical leadership and organizational decisions. Choose the learning goal before choosing a pathway merely because it looks accessible. Ask how prerequisite knowledge, assessment and advising work for someone with your background.
A defined 2026–2027 price basis
The Bursar’s official Coursera rate sheets identify Fall 2026, Spring 2027 and Summer 2027. They list program-specific per-credit tuition and state that there are no student fees. These charges apply to the named Coursera programs, with separate billing arrangements for other campuses or academic offerings. Rates can change, and repeating or adding coursework can change a personal total. Use the rate sheet matching the exact degree and term.
Plan for short sessions and real assessment
The published arrangements include eight-week sessions and self-paced course access. Confirm the actual assessment deadlines, proctoring or project rules and available support before making a calendar. A self-paced activity still needs to fit the session’s academic conditions. Ask when the material and required courses you want will be available, particularly when planning a specific elective sequence.
Investigate the resources you will use: software, computing environments, accessibility support, instructor assistance and the channels for degree advising. If you hope to move credits between a certificate and a degree, obtain the applicable policy and degree plan. Do not assume that similar course names permit unrestricted stacking across programs or that noncredit work automatically earns graduate credit.
Identity and accreditation
The university’s institutional-accreditation page identifies the Higher Learning Commission and describes its accreditation history and review. This profile concerns the Boulder institution, not a similarly named degree from another University of Colorado campus. Institution-level accreditation should remain distinct from any specialized program approval or an individual’s professional eligibility.
Make the next step evidence based
Use the university’s Choose Your Path enrollment instructions to identify the current for-credit route. Save the precise program, pathway, required credits and applicable price basis. Test whether your preparation and available hours can support the course sequence, and ask which conditions remain unresolved for your location. The right next step may be to preview a course, strengthen foundations, seek advising or begin the appropriate enrollment process; none guarantees completion or a career result.
Choose an online computer science master’s by matching its technical depth and prerequisites to the computing problems you want to solve. A program designed for experienced programmers is a different route from one with an explicit bridge for applicants from other fields.
Investigate a data science master’s when you want to build stronger statistical and computational judgment about data. Compare mathematical preparation, programming depth, model evaluation and the kind of applied work you will complete.
An online engineering management master’s is a route to investigate when you want to combine technical understanding with responsibility for projects, people, resources and organizational decisions. Compare its engineering context with an MBA and a deeper technical master’s.
The federal figures below describe the matched institution and reported fields of study. They are separate from our reviewed online master’s program facts.
Matched federal reporting entity: University of Colorado Boulder (126614)
University of Colorado Boulder The curated institution and the selected federal reporting entity match by exact name/campus,existing ID where present,and official domain. Metric populations and years still require separate interpretation.
Source: U.S. Department of Education College Scorecard. Retrieved November 2, 2026 22:21 UTC. Latest available figures may describe different reporting years and cohorts.
Federal institution ID
126614
Location
Boulder, CO 80309-0017
Graduate enrollment, institution-wide
6,555
Undergraduate enrollment
31,939
Undergraduate annual tuition, in-state
$17,513
Undergraduate annual tuition, out-of-state
$47,142
Undergraduate annual tuition is not the price of an online master’s degree. Federal admission, completion, debt and earnings measures describe defined cohorts, not an individual’s future result. Missing or suppressed values are not zero.
Choose a category or search field names, definitions and reported values. All returned fields remain available in the paginated explorer and complete downloads, including missing values. “Latest” can combine different reporting years. The retrieval date is not the cohort year.
58 matching data elements · Page 2 of 2.
College Scorecard fields, values and definitions
Data element
Reported value
Source field
Carnegie Classification — Institutional Classification Definition and coverage
Published dictionary most-recent cohort mapping: AcadYr 2025-26, reported in IPEDS DCY2025-26. This mapping is not confirmation of the API’s update date.
Explicit dictionary VALUE/LABEL code table; codes are not quantities.
6 — Mixed Undergraduate/Graduate-Doctorate Large
school.carnegie_inst_class
Carnegie Classification — Student Access and Earnings Definition and coverage
Carnegie Classification — Student Access and Earnings
Published dictionary most-recent cohort mapping: AcadYr 2025-26, reported in IPEDS DCY2025-26. This mapping is not confirmation of the API’s update date.
Explicit dictionary VALUE/LABEL code table; codes are not quantities.
5 — Lower Access, Higher Earnings
school.carnegie_access_earnings
Carnegie Classification — Research Activity Designation Definition and coverage
Carnegie Classification — Research Activity Designation
Published dictionary most-recent cohort mapping: AcadYr 2025-26, reported in IPEDS DCY2025-26. This mapping is not confirmation of the API’s update date.
Explicit dictionary VALUE/LABEL code table; codes are not quantities.
1 — Research 1: Very High Spending and Doctorate Production
school.carnegie_research
Carnegie Classification — Institutional Size Definition and coverage
Carnegie Classification — Institutional Size
Published dictionary most-recent cohort mapping: AcadYr 2025-26, reported in IPEDS DCY2025-26. This mapping is not confirmation of the API’s update date.
Explicit dictionary VALUE/LABEL code table; codes are not quantities.
5 — Very Large
school.carnegie_inst_size
Carnegie Classification — Award Level Focus Definition and coverage
Carnegie Classification — Award Level Focus
Published dictionary most-recent cohort mapping: AcadYr 2025-26, reported in IPEDS DCY2025-26. This mapping is not confirmation of the API’s update date.
Explicit dictionary VALUE/LABEL code table; codes are not quantities.
5 — Undergraduate/Graduate-Doctorate
school.carnegie_award_focus
Carnegie Classification — Undergraduate Academic Program Mix Definition and coverage
Carnegie Classification — Undergraduate Academic Program Mix
Published dictionary most-recent cohort mapping: AcadYr 2025-26, reported in IPEDS DCY2025-26. This mapping is not confirmation of the API’s update date.
Explicit dictionary VALUE/LABEL code table; codes are not quantities.
1 — Mixed
school.carnegie_ug_program
Carnegie Classification — Graduate Academic Program Mix Definition and coverage
Carnegie Classification — Graduate Academic Program Mix
Published dictionary most-recent cohort mapping: AcadYr 2025-26, reported in IPEDS DCY2025-26. This mapping is not confirmation of the API’s update date.
Explicit dictionary VALUE/LABEL code table; codes are not quantities.
Downloads include every data element returned for this institution and data selection, across all categories and credential levels. Explorer filters do not truncate the downloads. CSV text that could be interpreted as a spreadsheet formula is escaped; JSON preserves the original data values.
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