
Overview
Through the Data Science MSc degree from Southern Methodist University as students progress in the program, they master more advanced concepts and have the opportunity to choose a specialization with a customized curriculum that closely aligns with their goals.
Key facts:
The field of data science is one of the fastest-growing and most in-demand fields in the world. DataScience@SMU students gain highly sought-after skills in working with unstructured data, big data processing, statistical analysis, text mining and machine learning. With the ability to synthesize findings into actionable results for their organizations, our graduates are able to enter the data science field as candidates with a competitive edge.
The increased need across industries for data science professionals has made it one of the most desirable fields for skilled professionals.
- Data scientist has been in the top-3 on Glassdoor’s Best Jobs in America list for four consecutive years.
- IBM predicts demand for data scientists will soar 28 percent by 2020.
- LinkedIn’s Most Promising Jobs 2019External link:open_in_new report ranks data scientist atop its most promising jobs list.
Dallas: The Emerging Hub of Data Science
Students looking to build their professional network and cultivate career opportunities after graduation can take advantage of the close connection that DataScience@SMU has with the emerging tech hub of Dallas, Texas.
Get more details
Visit programme websiteProgramme Structure
Courses:
- Machine Learning
- Natural Language Processing
- Business Intelligence
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 20 months
Start dates & application deadlines
- Starting
- Apply before
-
There are four cohort start dates a year. The final deadline for the September 2025 cohort is June 27
Language
Check IELTS test dates and locations. Book an IELTS test now!
Credits
- 33.5
Delivered
Disciplines
Data Science & Big Data View 202 other Masters in Data Science & Big Data in United StatesExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
English requirements
Check IELTS test dates and locations. Book an IELTS test now!
Other requirements
General requirements
Hold a bachelor’s degree or its recognized equivalent from a regionally accredited institution.
- College-level coursework in statistics, calculus I and II or another quantitative methods course;
Official Graduate Record Examination (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 using the SMU school code 7478 for GRE scores. Applicants can also submit a Graduate Management Admission Test (GMAT) score as well, though this is also not required for admission.
Applicants who do not to submit GRE scores and lack undergraduate coursework in math are encouraged to submit a one-page math addendum. In this addendum, applicants should discuss how their experience has prepared them for the quantitative rigor of the program.
Have a basic understanding of a programming language, such as SAS, JAVA, C, C++, Python or R.
Work experience
- Work experience involving data analysis or data management.
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
22374 USD/yearTuition FeeBased on the tuition of 1130 USD per credit during 20 months. -
National
22374 USD/yearTuition FeeBased on the tuition of 1130 USD per credit during 20 months. -
In-State
22374 USD/yearTuition FeeBased on the tuition of 1130 USD per credit during 20 months.
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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