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Southern Methodist University MS in Data Science online

Southern Methodist University MS in Data Science online

Join the DataScience@SMU community, and engage in an interdisciplinary curriculum designed to advance your analytic skills. Learn to manage, analyze, and mine complex data to help your organization make strategic decisions.

3

starts dates per year

20 months

minimum time to complete the program

About the program

  • No GRE required:

    GRE scores are not required for this program. If you would like to submit scores for consideration to strengthen an application, you may still do so.

  • Customized curriculum:

    Both specializations, in machine learning and business analytics, help learners master necessary skill sets and apply them directly to their career interests.

  • Credit for prior learning:

    Receive up to six graduate credits for completed and qualifying data science boot camps, and use them toward the online Master of Data Science at SMU.

About SMU

SMU is a nationally ranked private university with a diverse learner population, leadership development opportunities, and a highly connected alumni network. Accredited by the Southern Association of Colleges and Schools Commission on Colleges (SACSOC), SMU is considered a distinguished center for global research with a liberal arts tradition.

Tuition and fees

Tuition and feesTuition cost$37,855

Tuition and fees are subject to change and may increase each academic year. Tuition does not include student fees, technology platform licensing, or support services. Learners are also responsible for travel and accommodation costs related to any in-person immersions or residentials.

Technology and services powered by 2U, Inc., the parent company of edX.

Specializations

Tailor your online MS in Data Science to your career interests by choosing an area of specialization for your elective coursework. These two cutting-edge disciplines will teach you how to effectively organize and communicate critical information in your organization:

  • Machine learning:

    Master the machine learning techniques you need to build self-optimizing systems and provide solutions to problems or processes in any organization. Learn to utilize advanced computational algorithms and build platforms that expand the boundaries of machine cognitive function.

  • Business analytics:

    Learn to utilize the information available at the end of the data life cycle, and employ advanced qualitative analysis to help businesses improve. Gain skills that will allow you to synthesize data; make informed conclusions; and present to stakeholders with clear visualizations.

Admissions

Prospective learners interested in this program should hold a bachelor’s degree or its recognized equivalent from a regionally accredited institution. No GRE scores required. To complete an application, you will need to submit:

  • Online application

  • $75 application fee

  • One letter of recommendation

  • Professional résumé or curriculum vitae

  • Statement of purpose

  • Official transcripts from all previous institutions

  • Official TOEFL scores (if applicable)

Immersions

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