2027 Rice Online MDS vs. Notre Dame Online MS in Data Science: Cost, Curriculum, Admissions, and Format

Both are university master's degrees in data science, but the degree names alone do not establish differences in technical depth, career outcomes, or employer recognition. The comparison below separates established facts from program details that need a current, term-specific answer.

The practical takeaway is that neither school is a defensible overall winner on the established facts alone. An itemized cost estimate, degree plan, and sample weekly schedule from each program will make the comparison meaningful.

A comparable current total for the two programs cannot be verified here, so it would be misleading to label either one cheaper. For each school, ask for the tuition rate applicable to your entering term, the number of billable credits, and a list of mandatory program and university fees. Confirm whether the rate can change before you finish.

Calculate the comparable amount as required credits × applicable tuition per credit + mandatory fees. Then account separately for books, software or equipment, any required travel, and borrowing costs. A lower tuition quote may not mean a lower total if it omits fees or required visits.

Ask the financial aid office which aid is available to students in the specific online program and enrollment pattern you plan to use. If an employer will contribute, check its annual reimbursement cap and whether you must pay upfront or remain employed after graduation.

Neither program has a demonstrated value advantage without comparable total costs and evidence that its coursework meets your goal. For a working professional, value may come from learning a needed method, producing credible project work, or fitting study around a job - not simply from the lower sticker price.

Compare the added cost of your preferred option with the specific advantage you expect from it. If your aim is an AI-focused role rather than broader data science work, AI master's tuition and career outcome comparisons can provide a useful alternative benchmark. Do not treat an occupation-wide salary figure as the pay increase either degree will cause; prior experience, location, and target role matter.

The current required-course lists and formally available specializations for each entering cohort are not established here. Do not assume that either degree has a particular concentration, dedicated AI sequence, or choice of capstone topic based on its title or marketing summary.

Obtain each program's degree plan and compare required work in statistics, programming, machine learning, data management, and applied projects. A subject mentioned in a course description is different from a required course or a substantial project. If building production data pipelines is central to your goal, compare the degree plans with AI master's curricula that include data engineering, then check whether Rice or Notre Dame provides comparable hands-on work.

Pay particular attention to elective availability: a listed course is useful only if online students can take it during their expected enrollment period. Ask for recent course schedules and project examples before treating a specialization as a deciding advantage.

Both programs are described as online, but that label does not establish that every activity is asynchronous or that no travel is required. Current requirements for live classes, group meetings, examinations, and campus visits need confirmation with each program.

Request a sample weekly schedule and ask which sessions are mandatory, when they occur in your time zone, and what happens if work prevents attendance. This matters most if you work shifts, travel frequently, or live far from campus. A format that suits one working student may be impractical for another even when both degrees are offered online.

Do not assume the two programs require the same prerequisites, tests, essays, or work experience. Current application requirements and deadlines should be checked on each program's admissions page for your intended start term; none of those requirements can be reliably specified here.

Before applying, compare your transcript and experience with each school's stated expectations in mathematics, statistics, and programming. Ask admissions staff whether missing preparation is a formal eligibility issue or a recommendation for academic success. If avoiding an essay is important, finding machine learning master's programs without essays may help you identify alternatives; it does not establish either school's current policy.

A current, comparable completion time for Rice and Notre Dame cannot be verified here. Advertised timelines can depend on course load, start term, course sequencing, and whether the student follows a prescribed cohort schedule.

Ask each program for a degree map based on the number of courses you can realistically take while working. Confirm when required courses are offered, whether you can pause enrollment, and any maximum time allowed to finish. Compare those personalized schedules rather than assuming an advertised fastest completion time applies to you.

Yes, both universities hold institutional accreditation: Rice University is accredited by the Southern Association of Colleges and Schools Commission on Colleges, and the University of Notre Dame is accredited by the Higher Learning Commission. Institutional accreditation applies to the university; it should not be described as a separate, data-science-specific accreditation for either degree.

If accreditation affects employer reimbursement or eligibility for further study, verify the institution's current status with its accreditor and ask the employer or receiving university about its own rules. Accreditation does not establish that the two curricula or student outcomes are equivalent.

Relevant targets may include data scientist and related analytics roles, depending on a graduate's prior experience and the skills demonstrated through coursework and projects. The U.S. Bureau of Labor Statistics reports a $120,230 median annual wage for data scientists in May 2025. That is a national figure for people in the occupation, not an entry-level offer or a measured outcome for Rice or Notre Dame graduates.

The BLS projects data scientist employment growth of 35% from 2025 to 2035. Growth indicates demand for the occupation, but it does not resolve which degree is preferable or remove competition for individual jobs. Neither program's verified, comparable graduate salary or placement results are established here.

Ask each school what career support online students can use and whether any published outcomes identify the graduates surveyed, their prior experience, and the response rate. If access to professional contacts is a priority, use AI master's programs with strong graduate networks as a comparison point, then ask what networking opportunities are actually available in these two programs.

Choose Rice if its confirmed course plan, schedule, and full cost better support your target work and constraints. Choose Notre Dame if its verified offerings provide the stronger fit on those same measures. On the information established here, choosing either because its degree title sounds more technical - or because of an unverified price or timeline - would be a mistake.

Before accepting an offer, get both schools' itemized cost estimates, degree plans, and attendance rules for the same intended start period. Identify any course or scheduling difference that would actually change your decision. If neither program offers the analytics focus you need at a workable cost, find a data analytics master's program to widen the comparison rather than forcing a choice between these two.

• Course Modes & Definitions - Office of the University Registrar https://registrar.washington.edu/classrooms/course-modes/
• Admissions Requirements and Procedures - Pitt Catalog https://catalog.upp.pitt.edu/content.php
• MS Data Science - Notre Dame financial aid https://financialaid.nd.edu/apply-or-renew/graduate-students/graduate-program-costs/ms-data-science/
• 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/
• Data Science | Academic Catalog | The University of Chicago http://collegecatalog.uchicago.edu/thecollege/datascience/
• MS Data Science & Statistics: FAQ | Binghamton University https://www.binghamton.edu/math/graduate/statistics/faq.html
• Online Master of Data Science Degree Program | MDS@Rice https://csweb.rice.edu/academics/graduate-programs/online-mds