Data Analytics
Oklahoma City University Campus, United States
Master of Science in Data Analytics
Oklahoma City University
Data Analytics
Program Overview: MS in Data Analytics at Oklahoma City University
The Master of Science in Data Analytics at Oklahoma City University is a STEM-designated program designed to prepare students to meet Big Data business challenges. Graduates emerge well-prepared to apply data analysis, visualization, and artificial intelligence prediction tools to create maximum value and expand market opportunities for organizations.
This 30-credit-hour program is delivered through asynchronous online study, offering exceptional flexibility for working professionals seeking to advance their careers with a graduate degree. Along with a core data analytics curriculum, students select one area of business concentration to tailor their studies to specific career goals.
Housed within the Meinders School of Business, which holds prestigious AACSB accreditation, the program combines rigorous analytical training with practical business applications. Students gain hands-on experience with industry-standard tools including Python, R, Tableau, and Power BI, ensuring they graduate with both theoretical knowledge and applied skills.
Key Program Highlights
- STEM-designated program qualifying graduates for extended OPT work authorization in the United States
- AACSB-accredited Meinders School of Business, placing it among the top business schools globally
- Flexible asynchronous online delivery designed for working professionals
- Customizable concentration areas including Accounting, Financial Analytics, Energy, Leadership, and Healthcare Administration
Curriculum and Modules
The MS in Data Analytics curriculum blends core data science competencies with a customizable business concentration. Students complete 21 credit hours of core coursework and 9 credit hours of elective concentration courses drawn from established graduate disciplines at OCU.
Computer Programming for Data Scientists
3 CreditsCovers the fundamentals of programming as it relates to the development of data science and analytics solutions, with potential focus on Python or R software platforms.
Data Analysis for Business Decisions
3 CreditsFocuses on identifying and accessing information sources and analyzing data to make informed decisions, covering topics such as hypothesis testing, regression analysis, predictive modeling, and decision analysis.
Data Visualization
3 CreditsA course on communication of analytical and data science results using visualization software, which may include Tableau, Power BI, and other visualization packages.
Data Engineering
3 CreditsAn integrated study of systems for collecting, storing, and retrieving data with a particular emphasis on relational databases and data infrastructure management.
Forecasting
3 CreditsExplores statistical and computational techniques for time-series analysis and predictive forecasting, equipping students to anticipate trends and support strategic business planning.
Capstone or Applied Analytics Project
3 CreditsA culminating project that integrates knowledge from across the curriculum, requiring students to apply data analytics methods to solve a real-world business problem.
Concentration Electives
Admission Requirements
Admission to the MS in Data Analytics program is evaluated on an individual basis. No specific prerequisites are required, but applicants must demonstrate a basic understanding of analytical techniques and strong communication skills. Contact Uni4Edu for personalized guidance on preparing your application.
Academic Requirements
- Academic BackgroundA completed bachelor's degree from an accredited institution with official transcripts
- Minimum GPAMinimum cumulative GPA of 2.7–3.0 (varies based on individual evaluation)
- Standardized TestsGRE or GMAT generally optional; recommended for competitive applicants
- Professional ExperiencePreferred but not required; relevant work experience strengthens applications
- Analytical SkillsApplicants should demonstrate a basic understanding of analytical techniques
English Language Requirements
- TOEFL (iBT)Minimum score of 83 (provisional admission available at 61)
- IELTSOverall 6.5 with no sub-score below 6.0
- Duolingo English TestMinimum score of 105 (provisional admission at 95)
Required Documents
Application Deadlines
For personalized admission guidance, document verification, and application support, please contact Uni4Edu
Scholarships and Funding
Oklahoma City University is committed to making graduate education accessible. More than 90% of OCU students receive some form of financial assistance, with the university providing over USD 34 million each year in scholarships and financial aid. Contact Uni4Edu to explore funding opportunities available for the MS in Data Analytics program.
OCU Graduate Merit Scholarship
Merit-based awards available to graduate students who demonstrate strong academic achievement and professional promise. Award amounts vary based on qualifications and program.
For detailed tuition fee information, please contact Uni4Edu — we will guide you through the costs and available funding options for this program.
Career Prospects
Graduates of the MS in Data Analytics program are well-positioned for high-demand roles across multiple industries. The STEM designation of this program also qualifies international graduates for extended Optional Practical Training (OPT) in the United States, providing valuable work experience opportunities.
Potential Career Roles
Industries and Employers Hiring Graduates
Rankings and Recognition
Oklahoma City University is a private institution founded in 1904 with a strong reputation in the United States. The Meinders School of Business holds AACSB accreditation, placing it among the top business schools globally. While OCU is primarily recognized in national and regional rankings, its programs deliver quality education with a favorable student-to-faculty ratio of 11:1.
| Subject | Ranking Body | Rank |
|---|---|---|
| Business (Undergraduate) | U.S. News & World Report | #453 |
| Business School Accreditation | AACSB International | Top 4.5% Globally |
| Computer Science | EduRank (USA) | #683 |
| Nursing & Health Science | University Guru | #150 |
How to Apply
Applying for this program is easy with Uni4Edu. Our team will guide you through every step of the process — from document preparation to final enrolment.
Contact Uni4Edu
Reach out to our team via email or phone. We will assess your profile and confirm your eligibility for this program.
Prepare Your Documents
Our advisors will provide you with a personalised checklist of required documents and help you prepare your application package.
Submit Your Application
Uni4Edu will submit your application on your behalf and keep you updated on its progress throughout the review period.
Receive Your Offer
Once accepted, we will help you understand your offer, arrange visa support if needed, and guide you through the enrolment process.
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