University of Oklahoma United States

Data Science and Analytics (M.S.)

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 4 Semesters
Mode On Campus
Level Postgraduate
Degree Masters Degree
Closing soon August 2027

Course Overview

The Master of Science in Data Science and Analytics at the University of Oklahoma equips you with the advanced analytical models and methods essential for extracting valuable knowledge from vast, complex datasets. In today's organizations, data scientists are crucial for identifying profitable business strategies, understanding customer behavior, assessing risks, and optimizing operations. This postgraduate program is designed for individuals eager to develop the skills needed to design and build tools for data extraction, assimilation, and analysis, fostering a deep understanding of systems to predict and enhance future performance across diverse sectors.

You will study this program on campus full-time over four semesters, engaging with core courses such as Computing Structures, Database Management Systems, Algorithm Analysis, Fundamentals of Engineering Statistical Analysis, Intelligent Data Analytics, and Advanced Analytics and Metaheuristics. The curriculum includes opportunities for professional practice through an internship or practicum, and you will have the option to pursue a research-intensive thesis or complete additional coursework. Upon graduation, you will be prepared for impactful careers in data science, analytics, and related fields, leveraging your expertise in statistical analysis and intelligent data analytics.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This Master of Science program in Data Science and Analytics offers two tracks: a thesis option and a non-thesis option. Both pathways delve into core areas such as computing structures, database management systems, algorithm analysis, and statistical analysis. Students will explore intelligent data analytics, advanced analytics, and metaheuristics, alongside professional practice. The thesis option includes dedicated research for a master's thesis, while the non-thesis option requires additional elective hours.

1 Thesis Option

Computing structures
Database management systems
Algorithm analysis
Fundamentals of engineering statistical analysis
Intelligent data analytics
Advanced analytics and metaheuristics
Professional practice
Research for master's thesis
3 hours of CS, ISE, or DSA electives

2 Non-Thesis Option

Computing structures
Database management systems
Algorithm analysis
Fundamentals of engineering statistical analysis
Intelligent data analytics
Advanced analytics and metaheuristics
Professional practice
3 hours of CS, ISE, or DSA electives
6 additional hours of electives

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 20,373.00
Second Year Fee Tuition fee
USD 20,373.00
Total Program Cost Estimated total tuition
USD 40,747.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Food & Groceries USD 3,000.00 - USD 4,560.00
Transport USD 600.00 - USD 1,200.00
Utilities & Bills USD 960.00 - USD 1,800.00
Estimated Total USD 4,560.00 - USD 7,560.00

Living cost estimates are based on Norman Campus.

Outcomes & Employability

What happens after you graduate

74%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Accounting & AuditingAerospace Engineering & DesignAutomation & RoboticsBanking & Financial ServicesBlockchain & Emerging TechnologiesDigital MarketingProduct Design & PrototypingProduct Management & UXSupply Chain & ProcurementTax & Legal Compliance

Top Employers Hiring for this course

Boeing

Dell Technologies

Google

Paycom

Why Study Data Science and Analytics (M.S.) at University of Oklahoma

What makes this program stand out

August 2027 Closing soon

Next intake is in August 2027

Very Fast Application response time

University of Oklahoma typically responds to applications within 1 - 2 days, giving you clarity on your options quickly.

Life at University of Oklahoma in United States

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about Data Science and Analytics (M.S.) at University of Oklahoma

Can I work while studying?

International students can work up to 20 hours per week during terms and full-time during breaks without a separate work permit. Off-campus work may be available after the first year with university approval.

What English language score do I need for this course?

For the Data Science and Analytics program, acceptable English test scores vary by test. For example, a minimum Duolingo overall score of 130 or an IELTS overall score of 6.5 is required.

What jobs can I get after studying this course?

Graduates can pursue careers as Data Scientist, Data Analyst, Machine Learning Engineer, Business Intelligence Analyst, or Statistics Consultant.

What will I actually study in this course?

The program focuses on developing analytical models to extract knowledge from complex data and understanding system performance. Graduates will acquire skills to analyze data, evaluate risks, and improve operational efficiencies.

When can I start — what are the intake months?

The intake month for the Data Science and Analytics (M.S.) program is August. Make sure to apply in advance to secure your spot.
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