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QS Rank:

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701

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University of Oklahoma

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Oklahoma

United States

The Master of Science in Data Science and Analytics at the University of Oklahoma is a premier program designed to equip students with the skills and knowledge necessary to excel in the fast-paced world of data science. This comprehensive curriculum combines theoretical foundations with hands-on practical experiences, ensuring that graduates are not only proficient in data analysis but also capable of leveraging data to drive business intelligence and innovations. The program spans over 14 months, allowing students to immerse themselves in a rigorous academic environment while also providing opportunities for real-world applications through projects and internships.
Students in this program will delve deep into a wide array of subjects, including machine learning, statistical analysis, data visualization, and data management. Specific courses such as Data Mining, Predictive Analytics, and Big Data Technologies prepare students to tackle complex datasets and extract meaningful insights that can inform strategic decisions. The curriculum also emphasizes the ethical use of data, equipping students with the critical thinking skills necessary to navigate the challenges of data governance and privacy.
One of the most compelling aspects of the MS in Data Science and Analytics program is the expertise of the faculty. Instructors are not only highly educated with advanced degrees in their respective fields, but they also bring a wealth of industry experience and research backgrounds. This blend of academia and real-world expertise fosters an engaging learning environment where students can benefit from mentorship and guidance. Faculty members encourage collaboration, pushing students to engage in innovative research projects that could lead to significant contributions in the field.
The University of Oklahoma places a strong emphasis on research opportunities. Students have access to state-of-the-art labs and facilities that facilitate advanced analytics and modeling. Opportunities to work on research projects abound, and students are often encouraged to contribute to faculty-led studies, which can enhance their resumes and provide valuable networking opportunities. Moreover, the university's connections with various industries bolster the potential for internships and job placements, giving students a competitive edge in the job market.
As graduates of the Master of Science in Data Science and Analytics, students can pursue a multitude of career pathways. The program prepares individuals for roles such as data analyst, data scientist, business intelligence analyst, and quantitative analyst. Given the increasing demand for data-driven decision-making across sectors such as healthcare, finance, and technology, graduates can expect favorable job outcomes and substantial earning potential. The comprehensive training received during the program positions alumni for successful careers in roles that require both technical proficiency and strategic insight.
Alumni of the program have gone on to secure positions in prestigious companies and organizations, further highlighting the effectiveness of the program. Testimonials from former students often emphasize the transformative experience they underwent during their time at the University of Oklahoma, citing the hands-on learning approach and robust support from faculty as key contributors to their success. Some alumni report landing roles at leading tech firms and consulting agencies shortly after graduation, demonstrating the strong industry connections fostered by the university.
In addition to the rich curriculum and excellent faculty, the University of Oklahoma provides a vibrant community for international students, enhancing the overall educational experience. The university's commitment to diversity and inclusion creates a supportive environment where students from various backgrounds can thrive. Furthermore, with access to numerous campus resources, students can easily find networking opportunities, mentorship programs, and workshops tailored to developing their professional skills.
Why Study Data Science and Analytics at the University of Oklahoma?

  • A diverse and inclusive community that supports international students, fostering a rich cultural exchange and collaboration.
  • Opportunity to learn from a distinguished faculty with a blend of academic knowledge and industry experience.
  • Access to cutting-edge labs and resources that enhance research capabilities and practical learning experiences.
  • Strong connections with local and national industries, offering a wealth of internship opportunities and job placement assistance.
  • A robust curriculum that emphasizes not only technical skills but also ethical considerations and strategic decision-making in data usage.

To join this esteemed program, applicants must meet specific eligibility criteria, including a completed application form, a $100 application fee, and proficiency in the English language demonstrated through standardized tests such as IELTS, TOEFL, or PTE. For IELTS, a minimum score of 6.5 is required; for TOEFL, a minimum score of 79; and for PTE, a minimum score of 60. This ensures that all students can engage fully with the curriculum and make the most of their educational experience.
Overall, the Master of Science in Data Science and Analytics at the University of Oklahoma offers a unique blend of academic rigor, practical training, and industry connections that make it an ideal choice for aspiring data professionals. With its commitment to fostering creative and independent thinkers in the field of data science, students are poised to drive impactful change in their chosen careers while contributing to the growing field of data analytics.

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Duration

14 Months

Ranking

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#461

US World and News Report

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#701

QS World University Rankings

Class Profile

Diversity

Others:

10%

United States:

10%

Oklahoma:

80%

Eligibility Criteria

English Proficiency Tests

  • IELTS

    6.5

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  • PTE

    60

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  • TOEFL

    79

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Application Requirements

Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

intake

Application Fee: 100

      Application Deadlines

      Fees and Funding

      intake

      Tuition Fees

      $29,756 / year

      FAQs

      • Admissions Requirements:

        To join the Master of Science in Data Science and Analytics program at the University of Oklahoma, applicants must meet the following eligibility criteria:

        1. A completed application form.
        2. A $100 application fee.
        3. Proficiency in the English language, demonstrated through standardized tests such as:
        • IELTS: Minimum score of 6.5
        • TOEFL: Minimum score of 79
        • PTE: Minimum score of 60

        This ensures that all students can fully engage with the curriculum and maximize their educational experience.

      • Program Structure:

        The Master of Science in Data Science and Analytics program spans over 14 months, providing students with an immersive academic environment. The curriculum combines theoretical foundations with hands-on practical experiences, covering a wide array of subjects including:

        • Machine Learning
        • Statistical Analysis
        • Data Visualization
        • Data Management
        • Data Mining
        • Predictive Analytics
        • Big Data Technologies

        This structure ensures that graduates are well-equipped to handle complex datasets and extract meaningful insights that inform strategic decisions.

      • Teaching Methods:

        The program employs a blend of teaching methods that enhance student learning, including:

        • Hands-on practical experiences through projects and internships.
        • Engagement in innovative research projects, facilitated by faculty mentorship.
        • Collaboration opportunities among students, fostering a dynamic learning environment.
        • Access to state-of-the-art labs and facilities for advanced analytics and modeling.

        This combination of methods ensures a comprehensive educational experience that prepares students for real-world challenges in data science.

      • Career Prospects:

        Graduates of the Master of Science in Data Science and Analytics can pursue a multitude of career pathways, including roles such as:

        • Data Analyst
        • Data Scientist
        • Business Intelligence Analyst
        • Quantitative Analyst

        Given the increasing demand for data-driven decision-making across various sectors such as healthcare, finance, and technology, graduates can anticipate favorable job outcomes and substantial earning potential. The comprehensive training received positions alumni for successful careers that require both technical proficiency and strategic insight.

      • Program Highlights:

        Some compelling highlights of the program include:

        • A distinguished faculty with a blend of academic knowledge and industry experience.
        • Access to cutting-edge labs and resources that enhance research capabilities.
        • Strong connections with local and national industries, providing internship opportunities and job placement assistance.
        • A robust curriculum that emphasizes technical skills and ethical considerations in data usage.
        • A diverse and inclusive community that supports international students, promoting cultural exchange.
      • Faculty Contribution:

        Instructors in the program are highly educated, holding advanced degrees in their respective fields, and bring a wealth of industry experience and research backgrounds. This blend of academic rigor and practical expertise fosters:

        • An engaging learning environment.
        • Opportunities for mentorship and guidance.
        • Encouragement for students to engage in innovative research projects that could lead to significant contributions in the field.

        Students benefit greatly from the faculty's commitment to collaboration and research, enhancing their educational experience.

      • Support for International Students:

        The University of Oklahoma provides a vibrant community for international students, creating an enriching educational experience. Key aspects include:

        • A commitment to diversity and inclusion, fostering a supportive environment for students from various backgrounds.
        • Access to numerous campus resources, including networking opportunities, mentorship programs, and workshops tailored to professional development.

        This supportive atmosphere enhances the overall educational journey for international students, promoting collaboration and cultural exchange.

      • Ethical Considerations in Data Science:

        The curriculum of the Master of Science in Data Science and Analytics places a strong emphasis on the ethical use of data. It equips students with:

        • Critical thinking skills necessary to navigate challenges related to data governance and privacy.
        • Knowledge and awareness of ethical implications in data analysis and decision-making.

        This focus ensures that graduates are not only technically proficient but also socially responsible in their use of data.

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