Academic Requirements & Prerequisites
With the exponential rise in hiring demand for Data Scientists and related professions, the online Master of Data Science program is ideal for a range of students - career changers, working professionals who want to stand apart from their competition and get better jobs, recent college graduates who want to improve society with big data, and more. With a rigorous curriculum and individualized learning experience from world-class faculty who care about you, Rice’s Data Science graduate students gain valuable skills and experience in a fully-online, flexible and convenient environment. Upon completing the program, alumni will possess the practical, industry experience and high-demand knowledge and skills required to realize their career goals in the exciting and lucrative field of Data Science. Please find the online Master of Data Science admission requirements below and apply online today.
To qualify for the Online Master of Data Science program, prospective students must have a Bachelor’s degree, however, it is not a requirement that this degree must be in a computational field. A solid mathematical background is recommended along with some foundational knowledge of computer programming (for example, Python). Learn more about program prerequisites, requirements, and available prep courses below.
APPLYING TO THE PROGRAM
Earning Your Degree Online Starts Here
Join other working professionals to build your data science skills to advance your career and increase your earning potential.
GRE NOT REQUIRED
The GRE is not required for admission to the online Master of Science in Data Science program. Instead, your work experience will be evaluated.
THREE START DATES PER YEAR
The online MDS program offers three start dates a year: fall, spring and summer. Choose the start date that works best for your schedule.
Prerequisites for MDS@Rice
A Completed Bachelor’s Degree
All candidates must have a Bachelor's degree, but it is not a strict requirement that it be in a computational field.
You will be taught the relevant statistics and mathematics necessary to succeed in data science. However, this material can be complex, especially if you do not have an appropriate mathematical background, specifically high-school level algebra and trigonometry, college-level calculus, basic discrete math skills, and boolean logic. If you need a refresh in mathematics or programming, learn more about our online Data Science Bridge Course.
MDS@Rice students will learn how to program as part of the curriculum, including programming languages like Python, R, and SQL among others. Some foundational knowledge or a background in programming may help students feel more comfortable completing their coursework, however, prior programming knowledge is not required. While data science does involve some coding, students will not be required to possess advanced coding or software engineering skills.
Students interested in the MDS@Rice program who feel they may need a refresher in foundational topics can also enroll in the online Data Science Bridge Course. This 6-week-mini-course covers essential foundational materials in calculus, linear algebra, discrete mathematics, and programming basics, including algorithms and data structures with practice in Python language.
Required Application Materials
- 2 Letters of Recommendation. The letters should be from direct supervisors or people in similar roles, professors, research advisors, or others who are familiar with your skills and experience in data analytics, business analytics, statistics and math, engineering, data science or a related field. You should not submit letters from friends or family members. You may submit more than 2, but no less than 2 must be submitted with your application.
- Unofficial transcripts may be submitted with your application. Upon acceptance into the program, you will be asked to send official transcripts.
- A Statement of Purpose is required for all applicants. This statement should clearly and succinctly summarize your past academic and professional experience and achievements, discuss your motivation for seeking the MDS degree, explain your interest in advancing your career in data science, and/or articulate some of your goals for applying the techniques and models to real-world big data challenges. You should also briefly discuss any other factors you would like the Admission Committee to consider while reviewing your application (e.g. personal background, work experience, leadership roles, etc.).
- A current CV or resume is required to be submitted with your application.
- You're ready for admission! Make sure to include your application fee of $85.00 upon submission.
Test Scores (GRE OPTIONAL)
- GRE: Effective in 2021, the Graduate Records Examination (GRE) is no longer required for admission to the online Master of Data Science program, though it is recommended. This is in recognition of the fact that the GRE may be a significant obstacle for working professionals applying to graduate programs. If you are able to take the GRE, please submit your scores with your application. If GRE results are absent from an application, work experience will be evaluated instead. You may submit your GRE scores sent directly to Rice University using code: 6609 (GRE subject tests are not required).
- TOEFL/IELTS scores are required for any applicants who are foreign nationals or whose native language is not English. The code to send the electronic scores is: 6609. TOEFL score, the minimum is 90 on the iBT & 600 on the paper-based TOEFL. IELTS score, the minimum is 7. This requirement is automatically waived for eligible applicants who upload their transcripts from an English-speaking university into this application showing a degree in progress or conferred.
Students in the online Master of Science in Data Science program will pay the standard Rice University part-time rate of $1,666.70 per credit hour. The program requires a minimum of 31 credit hours to satisfy degree requirements.
Ready to Apply?
We offer three intakes per year, so you can choose the best time to start for you. For more information on program prerequisites, view Admission requirements.
|SESSION||APPLICATION DUE||CLASSES START|
|SUMMER 2023||March 1, 2023||May 1, 2023|
|FALL 2023||July 1, 2023||August 21, 2023|
|SPRING 2024||November 1, 2023||January 8, 2024|