Overview
The Data Science and Analytics programme at the University of Oklahoma provides a comprehensive foundation in extracting and analysing complex datasets. This degree prepares students to become data-driven leaders capable of improving organisational performance through advanced technical and analytical precision.
Students engage with a curriculum that balances theoretical knowledge with practical application. The course focuses on developing tools to integrate data and forecast system performance across various industries. This approach ensures graduates can transition seamlessly into high-level professional roles.
The programme is delivered through a flexible online format, allowing students to maintain full-time employment while studying.
Why Data Science and Analytics at the University of Oklahoma?
The programme is powered by world-class faculty and seasoned professors of practice who bring extensive real-world experience to the virtual classroom. This connection between industry leadership and academic rigour ensures the curriculum remains at the cutting edge of the field.
Students benefit from the Data Science and Analytics Institute, which provides hands-on training and opportunities to collaborate with industry leaders. These experiences are designed to build high-demand skills in systems thinking and advanced programming within a supportive environment.
Upon joining the university, students gain access to a global alumni network of over 250,000 members. This vast community of professionals offers a powerful resource for career acceleration and long-term success in the evolving landscape of data science and technology.
Tuition Fee Breakdown
- International fee: USD 1015 per credit
- National fee: USD 1015 per credit
- Local fee: USD 1015 per credit
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
Modules may include:
- Computing Structures
- Algorithm Analysis
- Intelligent Data Analytics
- Professional Practice
- Database Management Systems
- Engineering Statistical Analysis
- Advanced Analytics and Metaheuristics
Careers with Data Science and Analytics
Graduates are prepared for senior roles in sectors that rely on strategic insight and data-driven decision-making. Common career paths include becoming a Data Scientist, Data Architect, or Machine Learning Engineer. The skills gained are applicable in both public and private organisations.
Other potential destinations include roles as an Artificial Intelligence Engineer, Business Intelligence Developer, or Data Modeler. Graduates also find success as Consultants, Market Research Analysts, and Data Analysts, helping firms to assess risk and streamline complex operations.
The demand for expertise in this field is growing rapidly, with significant projected job openings over the next decade. By mastering predictive modelling and big data engineering, alumni are positioned for increased earning potential and leadership opportunities across the global technology sector.
Programme Structure
Courses include:
- Computing Structures
- Algorithm Analysis
- Advanced Analytics and Metaheuristics
- Elective
- Database Management Systems
- Intelligent Data Analytics
- Professional Practice
Key information
Duration
- Part-time
- 24 months
Start dates & application deadlines
- StartingApply anytime.
- StartingApply anytime.
- StartingApply anytime.
Language
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Credits
Delivered
Campus Location
- Norman, United States
Disciplines
Data Science & Big Data Data Analytics View 217 other Masters in Data Analytics in United StatesWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Current resume
- Three letters of recommendation
- A statement of your career and educational goals (1 to 1.5 pages, double-spaced)
- Official transcripts for all institutions attended
- International applicants must also submit an official TOEFL score and confidential financial statement
Tuition Fees
-
International Applies to you
Applies to youNon-residents16747 USD / year≈ 16747 USD / year - Out-of-State16747 USD / year≈ 16747 USD / year
-
Domestic
Applies to youIn-State16747 USD / year≈ 16747 USD / year
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 and Analytics.
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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