MARYVILLE UNIVERSITY · UNITED STATES
Master of Science in Data Science
Master's · Taught in en
At a glance
36 mo
Duration
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IELTS
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Tuition / yr
en
Language
Master's
Level
- 36 credit hoursProgram Length
- OnlineDelivery Mode
- No application feesApplication Benefit
- No GMAT/GRE requiredApplication Benefit
- Expert faculty with industry experienceFaculty Expertise
- Experiential capstone projectLearning Approach
Maryville University offers an online Master of Science in Data Science designed to equip students with the skills needed to collect and analyze data, manage teams, and develop data-driven strategies. The program combines theoretical knowledge with hands-on experience and real-world case studies, preparing graduates for the evolving data science landscape. Students can customize their learning through elective courses in areas like statistics, probability, business, and actuarial science, while gaining expertise in programming languages such as R, SQL, Python, and SAS, as well as machine learning, data mining, big data analysis, and deep learning.
Curriculum
The 36-credit curriculum is rigorous, practical, and aligned with current industry demands. It requires 24 credits of data science courses (DSCI) at the 500-level or above, and 12 additional credits from DSCI, MATH, Actuarial Science, or Computer Science at the 500-level or above.
- Core Data Science Courses
- Math ModelingDSCI 501
- R ProgrammingDSCI 502
- PythonDSCI 503
- SQLDSCI 504
- SAS ProgrammingDSCI 507
- Machine LearningDSCI 508
- Predictive ModelingDSCI 512
- Capstone ProjectDSCI 598
- NOSQL DatabaseDSCI 613
- Text MiningDSCI 614
- Big Data AnalyticsDSCI 617
- Experimental DesignDSCI 618
- Deep LearningDSCI 619
- Data VisualizationDSCI 624
- BlockchainDSCI 625
- Special StudiesDSCI 697
- Recommended Elective Courses (Examples)
- Statistical Modeling IMATH 505
- Mathematics for Artificial IntelligenceMATH 509
- Probability IMATH 570
- Probability IIMATH 571
- Mathematical StatisticsMATH 572
- Theory of InterestACSC 514
- Financial MathematicsACSC 515
- Actuarial Seminar IACSC 594
- Actuarial Seminar IIACSC 595
- Loss ModelsACSC 607
- Derivative MarketsACSC 611
- Reinforcement LearningCOSC 635
- Fundamentals of Artificial IntelligenceCOSC 640
- Advanced Artificial IntelligenceCOSC 641
- Ethics of Artificial IntelligenceCOSC 643
- Applications of Artificial IntelligenceCOSC 645
- Data VisualizationDATA 630
Careers
Graduates of the online Master of Science in Data Science program are well-prepared for a variety of in-demand data science roles across numerous industries. The comprehensive curriculum focusing on data analysis, programming, machine learning, and statistical modeling ensures graduates are highly sought after.
- Data Scientist
- Senior Data Analyst
- Data Engineer
- Financial Analyst Manager
- Business Analyst
- Computer and Information Research Scientist
- Computer Systems Analyst
- Pricing Analyst
- Management Analyst
- Marketing Analyst
- Research Analyst
- Statistical Data Analyst
- Operations Research Analyst
Entry requirements
Bachelor's DegreeMust be from a regionally accredited college/university with a minimum 3.0 GPA.
No application fees or GMAT/GRE scores are required. International applicants may need to meet English proficiency requirements.
Fees
Tuition (international)Contact admissions for current international tuition rates.
Tuition (home)Contact admissions for current domestic tuition rates.
LivingLiving costs are not specified as this is an online program.
Early Access program allows current Maryville undergraduates to earn up to 12 graduate credits at the undergraduate tuition rate.
How to apply
1. Complete Online ApplicationSubmit the simplified, no-cost online application form.
2. Submit TranscriptsProvide official academic transcripts from your undergraduate institution and any graduate institutions attended. Maryville will assist in requesting these.
3. Meet Admission RequirementsEnsure you hold a bachelor's degree from a regionally accredited college/university with a minimum 3.0 GPA.
4. English Proficiency (if applicable)International applicants may be required to submit English proficiency scores.