2027 CU Boulder Online MS-DS vs. Syracuse Online MS in Applied Data Science: Cost, Curriculum, Admissions, and Format

The degrees differ most in how students enter and experience the program. The table applies the same criteria to both; course offerings, prices, and policies should be checked against the catalogs for the term you plan to start.

Neither format establishes a universal winner. The useful first question is whether you need to choose your study hours or would benefit more from regular live contact with instructors and classmates.

CU Boulder is a strong program to examine if you want substantial work in data science methods, including computation, statistics, and machine learning. Syracuse's applied degree is especially relevant if you want to connect analytical work to decisions, communication, and organizational use. Those are differences in emphasis, not proof that either program omits technical or practical work.

Compare required courses before electives. A course labeled "AI" or "analytics" does not, by its title alone, establish its depth: examine prerequisites, programming assignments, model evaluation, and the work students produce. If responsible deployment matters to your target role, compare the actual AI ethics coursework in master's programs rather than assuming it is covered by a general machine-learning class.

Also check each current catalog for project, portfolio, and exit requirements. An applied course can be valuable without a formal capstone, but career changers should know what work they will be able to show employers.

The defensible comparison is current tuition per credit × credits required, plus mandatory charges - not a quoted price for one course compared with another school's entire degree. CU Boulder requires 30 credits and Syracuse requires 34, so both the rate and the credit requirement affect the result. A verified, term-specific tuition figure for each program is needed before calculating a dollar difference; do not treat an older advertised total as your final bill.

Ask each university for an itemized estimate covering tuition, mandatory university or online-program fees, course materials, and any charges tied to enrollment pace. Then account for aid, employer reimbursement, and the cost of any borrowing. If affordability is decisive, compare tuition for data science master's degrees using the same full-degree method.

A common mistake is choosing the lower advertised tuition without checking what it includes. Request written confirmation of the rates and fees applicable to your start term and residency or enrollment circumstances before making a deposit.

CU Boulder: Its performance-based model allows prospective students to demonstrate readiness through designated coursework rather than relying solely on a conventional application review. Confirm the current pathway courses, minimum grades, and conditions for entering the degree before enrolling in a course.

Syracuse: Its program uses an application-based review. Check the current admissions page for degree, transcript, statement, recommendation, test-score, and deadline policies; do not assume a requirement from another Syracuse graduate program applies here.

Neither admissions route eliminates the need for quantitative and programming preparation once classes begin. Applicants without a computer science degree can use AI master's degrees for non-CS graduates as a broader point of comparison, but should ask these two programs directly whether their own coursework is sufficient preparation. Readiness advice is not the same as a formal admissions prerequisite.

Required credits alone cannot establish a reliable graduation date. CU Boulder's flexible course scheduling can let a student adjust pace to work and family demands; Syracuse's scheduled classes make progress more dependent on course availability and the sequence a student follows. In either case, a heavier course load can shorten the calendar time while increasing weekly demands.

Ask each program for a term-by-term plan at the number of courses you can realistically manage. Confirm how often required courses run, whether prerequisites create bottlenecks, and whether there is a maximum time to finish. For a wider perspective on online data science master's completion options, compare published timelines against your own available study hours rather than the fastest possible schedule.

CU Boulder's largely asynchronous approach is better suited to students whose work shifts, time zones, or caregiving responsibilities make recurring meetings difficult. The trade-off is that students must create their own routine and seek help proactively. Syracuse's live online classes offer scheduled discussion and contact, but those meetings can conflict with an unpredictable job.

Before choosing Syracuse, obtain the current class meeting times and attendance expectations for your intended schedule. Before choosing CU Boulder, look at a sample course week and decide whether you can sustain independent study without a standing class appointment. For either program, ask how group work, assessments, and instructor access operate in practice.

Potential paths include data scientist, analytics specialist, machine-learning-focused analyst, and data or business analyst roles. The better target depends on a graduate's previous experience and demonstrated skills, not just the degree title. A student seeking technically demanding modeling work should inspect advanced methods and programming assignments; someone moving toward decision-support roles should examine projects involving stakeholders and communication.

The U.S. Bureau of Labor Statistics projects 35% growth in data scientist employment from 2025 to 2035. That signals strong projected demand for the occupation, but it does not predict hiring outcomes for graduates of either university. Build a portfolio that shows the kinds of problems you intend to solve, and compare job postings for those roles with the work each curriculum requires.

The U.S. Bureau of Labor Statistics reports a $120,230 median annual wage for data scientists in May 2025. This is an occupation-wide U.S. figure, not an expected starting salary or a reported outcome for CU Boulder or Syracuse graduates. Experience, job duties, location, and employer can substantially change an individual offer.

Do not calculate a guaranteed return on either degree by subtracting tuition from that median wage. A more useful personal estimate compares your likely total education cost with realistic roles you could pursue given your current background, while accounting for borrowing costs and any income you would forgo to study.

Both are established universities. CU Boulder holds institutional accreditation through the Higher Learning Commission, and Syracuse University through the Middle States Commission on Higher Education. Institutional accreditation is distinct from a claim that a particular data science master's has separate programmatic accreditation; confirm current status through the universities or their accreditors if it is material to your decision.

Reputation alone is not a substitute for fit. Ask whether employers in your intended field value the projects, methods, and experience you will gain. If you will study from a particular state, also confirm that the university can enroll you there; institutional accreditation and state authorization answer different questions.

Choose CU Boulder if asynchronous scheduling and the chance to establish eligibility through qualifying coursework solve your biggest barriers, and its required technical work matches your target jobs. Give Syracuse priority if you can attend scheduled classes and want a structured, interactive program with an applied organizational orientation. Choose neither on reputation or degree wording alone.

A practical final check is to match several target job descriptions to each program's required courses, inspect representative assignments, obtain written full-cost estimates, and test the proposed weekly schedule against your actual availability. If professional connections are a major reason to pay for graduate school, ask each university what online students can access; broader comparisons of artificial intelligence graduate degrees and alumni engagement can help frame that question, but cannot establish the experience in either data science program.

• School-Determined Requirements | 2024-2025 Federal Student Aid Handbook https://fsapartners.ed.gov/knowledge-center/fsa-handbook/2024-2025/vol1/ch1-school-determined-requirements
• Applied Data Science Master's Degree | Syracuse University https://ischool.syracuse.edu/academics/applied-data-science-masters-degree/
• University of Colorado FY 2025-26 Cost of Attendance Estimate | cu.edu https://www.cu.edu/doc/fy26tuitionfeespdf
• Finances | Computer Science | Student Support & Advising Services https://www.colorado.edu/cs/academics/online-programs/mscs-coursera/finances
• Full article: Students' Experience and Perspective of a Data Science Program in a Two-Year College | tandfonline.com https://www.tandfonline.com/doi/full/10.1080/26939169.2023.2208185
• Tuition and Financial Aid | Syracuse University Online Master's Programs https://onlinegrad.syracuse.edu/information-science/admissions/tuition-financial-aid/
• What's the Difference Between Asynchronous and Synchronous Learning? | Ohio State Online https://online.osu.edu/content-hub/blogs/whats-the-difference-between-asynchronous-and-synchronous-learning/