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DIVERSIFYING CAREER PATHS

The MDS@Rice Online Student Experience

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ENGAGING AND INTERACTIVE

Best-in-Class Online Data Science Learning Experience

Rice’s online Master of Science in Data Science program is designed to be a collaborative and engaging student experience that supports positive online learning for the working professional.

  • Engage in academic life from day one
    Learn faster via intimate and engaging learning experiences with peers, synchronous live sessions and 1:1 student/faculty interaction — all online.
  • Learn while doing
    Your online program goes beyond posting videos and quizzes on a website. Instead, you’ll gain hands-on data science experience using your skills to solve real-world problems.
  • Customize your program
    Customize your curriculum with a specialization in business analytics or machine learning and an elective selection in ethics, cybersecurity, or security and privacy.
  • Support for your success
    To help ensure your academic success, our online On-Ramp program gets you up to speed in math and programming prior to starting classes to help immerse you in academic life.

CONTACT ENROLLMENT COACH

Tools and Technology to Succeed Online

Tools and Technology to Succeed Online

The MDS@Rice program offers an enriched classroom experience online. Aside from lectures and coursework, students will receive a part-time, on-campus learning experience in an online setting.

Students will benefit from various tools, technology, and digital platforms including:

  • Discussion forums, live classroom sessions and online office hours offer valuable networking and learning opportunities
  • Video lectures and supplemental resources are easily accessible and allow you to move at your own pace
  • Personalized technical support and training for all online systems and resources
  • Access to the Rice Data to Knowledge (D2K) Lab and experiential learning through the capstone project
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DEVELOP RELATIONSHIPS WITH

MDS Faculty and Students

Interaction with faculty and peers is a critical part of your learning experience. You’ll appreciate weekly live sessions with faculty that help you develop graduate-level skills and thinking.

PROFESSIONAL DEVELOPMENT

Online, Self-Paced, Skill Development

The online MDS courses help you gain real-world skills that support your career goals. You’ll be immersed in topics including:

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Machine Learning

MACHINE
LEARNING

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Big Data

BIG
DATA

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Data Visualization

DATA
VISUALIZATION

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Programming Languages and Design

PROGRAMMING LANGUAGES
AND DESIGN

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Self-Paced Lectures
and Weekly Live Sessions

100% Online, Convenient Master Of Data Science

The MDS@Rice program is offered completely online on a part-time basis (or full-time, starting in Fall 2022). Courses are made up of modules designed to fit into a working professional’s lifestyle. Courses include supplementary readings, video lectures, assignments and discussion forums that help you connect with your peers. Watch the recorded lectures when it’s convenient for you and go back anytime to reinforce important concepts.

Optional Weekly Live Class Sessions

Attend live classroom sessions with professors, participate in group projects and access instructors during live office hours – all online. Faculty help you apply your knowledge via hands-on projects and in interactive class sessions that cover multiple time zones.

Peer Student Interaction and Connections

Weekly live classroom sessions are a defining feature of our robust program. Though they are optional, you’ll value the intimate interactions, and the session will become a favorite part of your experience. After working through the lectures and practice material at your own pace, come together with your fellow classmates to work through the most challenging concepts and practice problems. Our small cohort sizes makes peer to peer collaboration possible.

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Artificial Intelligence

The D2K (Data to Knowledge) Lab

The Rice D2K (Data to Knowledge) Lab is a unique resource for data science education. Online MDS@Rice students can use this educational hub for engagement, enrichment, and experiential learning opportunities. Providing opportunities that extend beyond the classroom and lectures, the D2K Lab connects students with real-world data science challenges from community organizations, companies, researchers and more.

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MDS@Rice Workload

To earn an MDS@Rice degree online, you will complete a minimum of 31 credit hours and there is no thesis requirement. Course lecture material and content are available for you to work through on your own time. However, there are due dates for all assignments and graded work. You may choose to complete the degree program in 12 months as a full-time student or in up to 3.5 years as a part-time student. Learn more about the MDS@Rice online curriculum.

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PROGRAM HIGHLIGHTS

Student Resources

In addition to the specialized curriculum and well-recognized, qualified faculty, Online MDS@Rice students have a number of resources at their disposal to enrich their education, their learning experience, and better equip them with the leadership skills necessary to excel in their chosen career path.

10 Courses

HOMEWORK RESOURCES

Thanks to optional live classroom sessions, students can work through practice material on their own or connect with fellow classmates to collaborate.

Holistic

FREE ONLINE TUTORING

A service that’s provided free of charge by the university, so students who need extra help can get the support they need without having to pay out-of-pocket.

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SAME DEGREE AS IN-PERSON

Ideal for working professionals, students are able to attend class and complete assignments on their own time.

Diploma

LEADING FACULTY

Discussion forums, live classroom sessions and online office hours offer valuable networking and learning opportunities.

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REAL-WORLD APPLICATION

Learn from world-class faculty members, who are not only experienced and knowledgeable in data science but are also available to students to answer questions and provide 1:1 interaction and support.

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Important Dates

We offer three intakes per year, so choose the best time to start for you:

SESSION APPLICATION DUE CLASSES START
SUMMER 2022 March 1, 2022 May 2, 2022
FALL 2022 July 1, 2022 August 22, 2022
SPRING 2023 November 1, 2022 January 9, 2023

VIEW ADMISSION INFORMATION

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