2027 Rice Online MDS vs. Syracuse Online MS in Applied Data Science: Cost, Curriculum, Admissions, and Format
Co-Founder and Chief Data Scientist
Rice's online Master of Data Science (MDS) and Syracuse's online MS in Applied Data Science appeal to working professionals who want graduate-level data skills without relocating. The choice turns on more than degree titles: curriculum emphasis, the full cost of attendance, admission readiness, and how classes fit your schedule all matter.
This comparison separates what the programs' names suggest from what you should confirm in current university materials, so you can decide which offer is the better fit before committing.
Key Things You Should Know
- Curriculum fit: Rice's MDS is the option to investigate first for a more technical data science focus; Syracuse's applied degree deserves a closer look if connecting analysis to organizational decisions is your priority. Compare required courses and projects before treating either description as definitive.
- Cost and format: A reliable cheaper-program verdict requires current tuition, required credits, fees, and any live-session or travel obligations for the same entry term. Do not compare a per-credit rate with a total-program quote.
- Career context: The U.S. Bureau of Labor Statistics reports a $120,230 median annual wage for data scientists in May 2025. That is an occupation-wide figure, not an earnings estimate for graduates of either program.
How does Rice Online MDS compare with Syracuse Online MS in Applied Data Science?
Both are online master's degrees centered on data science, but the useful comparison is what you will study, pay, and do each week - not whether "data science" or "applied data science" sounds more marketable. Rice awards an MDS; Syracuse awards an MS in Applied Data Science. Neither title, by itself, establishes greater technical depth or employer preference.
The table identifies the evidence that should decide between them. Where a current, like-for-like program figure cannot be established here, it is marked for confirmation rather than estimated.
| Decision factor | Rice online MDS | Syracuse online MS in Applied Data Science |
| Degree emphasis to investigate | Depth in statistics, computing, and modeling | Use of data science in organizational and applied settings |
| Most useful curriculum evidence | Required technical courses, electives, and project expectations | Required methods, information-management courses, electives, and project expectations |
| Comparable price | Obtain a current, itemized total for your entry term | Obtain a current, itemized total for the same entry term |
| Scheduling evidence | Confirm live attendance, time zone, course sequence, and completion limits | Confirm live attendance, time zone, course sequence, and completion limits |
The curriculum descriptions are questions to test against current course lists, not a claim that one program omits the other's strengths. A student choosing between offers should request each program's degree audit or course plan and compare required - not merely available - learning opportunities.
Which program costs less: Rice Online MDS or Syracuse Online MS?
Neither can responsibly be named the cheaper option without matching current, itemized quotes. Tuition rates, required credits, fees, and aid can change by entry term. A quoted per-credit rate does not establish the amount you will pay for the degree, and an advertised total may exclude expenses that apply to you.
Use the same cost categories for both schools. The table shows what to include and why the distinction matters.
| Cost category | What to obtain from each program | Why it matters |
| Tuition | Rate for your entry term multiplied by required, billable credits | Provides a comparable tuition-only figure |
| Mandatory fees | Program, university, and term-based charges | May not appear in a tuition headline |
| Situational expenses | Materials, software, equipment, and any required travel | Depend on program rules and your circumstances |
| Net and financing cost | Confirmed grants or employer support, plus borrowing terms if applicable | Determines your likely out-of-pocket cost, not the sticker price |
Ask each financial-aid or program office for a written estimate based on your expected pace. A slower schedule can change term-based charges and the amount of time you forgo other opportunities. If price outweighs the distinction between these two data science degrees, affordable graduate-level artificial intelligence study offers a separate set of alternatives to examine - but compare their curricula before substituting an AI degree for a data science degree.
What are the curriculum differences between Rice and Syracuse data science degrees?
Rice's MDS and Syracuse's applied MS may differ most in how they balance mathematical and computational methods against the work of managing data and communicating results in an organization. That is a useful starting hypothesis, not a substitute for reading the current requirements. Course titles alone may conceal differences in prerequisites, assignments, and depth.
For each program, compare the required sequence in statistics, programming, databases or data engineering, machine learning, and applied projects. Then inspect electives: an appealing subject has less value to your plan if it is rarely offered online or conflicts with required courses. Ask for a recent syllabus and a representative project brief for the courses most important to your target role.
If you want to work on responsible deployment of models, check for substantive treatment of privacy, bias, and governance in required coursework or projects. A passing reference to ethics is different from sustained study; AI governance curriculum options for master's students provide a comparison point if that specialty is central to your goals.
What are the admission requirements for each online data science program?
For both Rice and Syracuse, use the admissions instructions for the online degree and entry term you intend to pursue. Do not assume a requirement published for a campus program applies online, or that a related undergraduate degree automatically qualifies or disqualifies you. Current document requirements, deadlines, testing policies, and any prerequisite rules should be confirmed directly with each admissions office.
Regardless of formal eligibility, assess whether you can demonstrate programming, quantitative reasoning, and experience working with data. An applicant with a strong business background may need to strengthen coding or mathematics; an experienced programmer may need more statistics. In an application, connect specific coursework or work projects to those skills rather than relying on a job title alone.
Preparation and admission eligibility are different questions. A course or self-directed project can improve readiness without necessarily satisfying a formal prerequisite. Applicants exploring adjacent AI degrees can use AI master's preparation for graduates outside computer science to identify possible skill gaps, then ask Rice and Syracuse which, if any, preparation they formally require.
How long do Rice and Syracuse online data science programs take?
A defensible completion-time comparison needs each program's current required-credit total, course availability, and permitted enrollment pace. An advertised fastest finish may assume a course load that is difficult alongside full-time work; a part-time estimate may depend on when required courses are offered. Do not treat either estimate as a guaranteed graduation date.
Request a sample course plan beginning in your intended term, including prerequisites and any project course. Check how often each required course runs and whether a pause would delay the sequence. The better timeline is the one you can sustain - not necessarily the shortest one printed on a program page.
How do the online formats differ between Rice and Syracuse?
"Online" does not tell you whether attendance is live, whether recordings can replace it, or how group work is scheduled. These details can matter more than the learning platform for a student balancing work, caregiving, or a different time zone. Confirm each program's current attendance rules rather than assuming either is fully self-paced.
Ask both programs to describe a typical week: scheduled meetings, deadlines, expected collaboration, instructor access, and any campus visits or in-person assessments. If your work hours change regularly, distinguish optional live support from required attendance before enrolling. If you value real-time discussion, ask to observe an online class or speak with a current student about participation - not just access to recorded lectures.
Are Rice and Syracuse online data science degrees accredited?
Rice University and Syracuse University are institutionally accredited universities. Institutional accreditation applies to the university; it should not be described as a separate, specialized accreditation of either data science degree without evidence of such a designation. The online delivery of a degree does not, by itself, create a different institutional-accreditation category.
Before paying a deposit, confirm the institution's current standing through its accreditor or an official U.S. Department of Education recognition resource. Also ask whether the specific online program can enroll students in your state. Accreditation and state authorization answer different questions: one concerns institutional oversight; the other concerns whether the school can offer the program where you reside.
What careers can graduates pursue after either data science master's degree?
Either degree can support applications for data scientist, machine-learning-oriented, analytics, or data-focused product and operations roles. The realistic target depends on your prior experience and the work you can demonstrate, not the degree name alone. A candidate seeking model-development roles should scrutinize advanced methods and coding projects; someone aiming to guide organizational decisions should look for projects that require stakeholder communication and implementation choices.
Compare the work you want to show employers with the work each program requires you to produce. Ask whether you can complete a substantial project using appropriate real-world data and explain its assumptions, evaluation, and limitations. If your intended role is primarily building AI systems rather than analyzing data, choosing an online artificial intelligence degree may be a more relevant alternative to investigate.
What salaries and job prospects can data science master's graduates expect?
The U.S. Bureau of Labor Statistics projects 35% employment growth for data scientists from 2025 to 2035. That occupation-wide projection signals demand, but it does not predict hiring for a particular graduate, employer, or location. Competition and the skills required can also differ substantially among roles labeled "data scientist."
The BLS reports a May 2025 median annual wage of $120,230 for data scientists. This figure includes workers with varied education and experience; it is not a starting salary, a Rice or Syracuse graduate outcome, or a measure of the salary increase caused by a master's degree.
For a closer compensation comparison, consider your target industry and location alongside salary comparisons for data science career sectors. Ask each program for any career-outcome report, including who responded and whether reported pay represents salary level or change.
Which online data science master's program should you choose?
Choose the program whose required work, affordable net cost, and weekly schedule best match your goal. Rice is worth prioritizing if its current required courses and projects provide the technical depth you want. Syracuse is worth prioritizing if its applied coursework better matches the decisions you expect to make at work. Neither is a universal winner, and an elective you might never take should not outweigh a required course you will.
Before accepting an offer, use the same short decision process for both schools. It guards against the common mistakes of comparing unlike prices, trusting a degree title instead of a syllabus, or overlooking a scheduling conflict.
- Identify one or two target roles and the technical and communication skills they require.
- Mark which skills appear in each program's required courses and substantial projects, using current syllabi where available.
- Request written, itemized cost estimates and realistic course plans for your intended start term.
- Confirm admissions conditions, attendance rules, state eligibility, and available support before paying a deposit.
If the evidence remains close, give more weight to the program whose schedule you can complete reliably and whose projects you would be confident discussing in an interview. A potentially stronger curriculum offers little benefit if its cost or attendance rules make completion impractical.
Other Things You Should Know About Data Science
Do not assume either answer. Ask the registrar at each university for the exact diploma wording and whether the transcript identifies the delivery format.
Only if your employer permits it and the course's data-handling rules allow it. Discuss approval, privacy, and a public or synthetic-data fallback with the instructor before proposing the project.
Hardware needs depend on the software, datasets, and any university-provided computing resources. Request the current technical requirements before buying equipment.
Do not assume an online program provides visa eligibility or U.S. work authorization. Ask the university's international student office about the specific program and your circumstances before enrolling.
References
- Academic Years, Academic Calendars, Payment Periods, and Disbursements | 2025-2026 Federal Student Aid Handbook https://fsapartners.ed.gov/knowledge-center/fsa-handbook/2025-2026/vol3/ch1-academic-years-academic-calendars-payment-periods-and-disbursements
- Semester Course Load and Student Performance - PMC - NIH https://pmc.ncbi.nlm.nih.gov/articles/PMC7568764/
- Types of Financial Aid: Grants, Work-Study, and Loans | studentaid.gov https://studentaid.gov/understand-aid/types
- Undergraduate Students: Fall & Spring | iastate.edu https://financialaid.iastate.edu/getting-started/cost/cost-of-attendance/undergraduate-students/
- Academic Information | south.edu https://catalog.south.edu/content.php
- 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/
- 2025-2026 Tuition and Fees - Student Account Services | University of Kentucky https://studentaccount.uky.edu/tuition-and-fees/past-tuition-and-fees/2025-2026-tuition-and-fees
- Cost of Attendance - Financial Aid and Scholarships | The University of Utah https://financialaid.utah.edu/tuition-and-fees/cost-of-attendance.php
- Synchronous vs. Asynchronous Learning | Saint Leo University https://www.saintleo.edu/about/stories/blog/synchronous-vs-asynchronous-learning-for-course-delivery
- Admissions Requirements and Procedures - Pitt Catalog https://catalog.upp.pitt.edu/content.php
