About this Program

Old Dominion 91¶ÌÊÓÆµ offers a Master of Science degree in data science and analytics. Tech, finance, healthcare, government, business—these sectors need data science professionals to solve problems, optimize processes, and drive innovation. In the Master of Science (M.S.) in data science and analytics program, you learn to do this and more.

An R1 research institution, Old Dominion 91¶ÌÊÓÆµ (ODU) provides you with the knowledge and skills to develop statistical models using state-of-the-art programming tools and software packages. 

You learn to leverage data to identify trends and patterns, communicate results, and recommend optimal solutions. Moreover, you deepen your understanding of the discipline-specific scientific and theoretical concepts critical to modern data science and analytics.


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Program Highlights

  • Five data science concentration options: Artificial Intelligence and Machine Learning, Business Intelligence and Analytics, Engineering and Big Data Analytics, Geospatial Analytics, or Physics.

  • Capstone project: put your data skills to the test through real-world practice.

  • Project-based learning: discover how to use data from different areas, such as business, science, engineering, and geospatial, to solve real-world problems.

  • Build marketable expertise: develop statistical models to detect trends, organize and manage data, and lead teams in retrieving, cleaning data, and modeling data.

  • Two program formats: study on campus in Norfolk Virginia. The data science and analytics program is also .

Admissions Requirements

What are the requirements to apply for Data Science & Analytics at ODU?
Students entering the Master of Science program in Data Science & Analytics should meet the minimum university admission requirements Graduate Admission.

Students entering the Master of Science in data science and analytics program should meet the minimum 91¶ÌÊÓÆµ admission requirements for graduate admission, including submission of the following:

    • A and associated application fee.
    • A bachelor's degree from a regionally accredited institution in the United 91¶ÌÊÓÆµs, or an equivalent institution outside the United 91¶ÌÊÓÆµs, in a field that provides adequate preparation for graduate study in data science.
    • Official copies of transcripts of all regionally accredited institutions attended (or equivalent non-U.S. institutions).
    • A current resume.
    • Two letters of recommendation from individuals familiar with the applicant's professional and/or academic background.
    • A statement of professional goals.
    • International students should submit their current Test of English as a Foreign Language (TOEFL) scores to the ODU International Graduate Admission Office. We require scores of at least 230 on the computer-based TOEFL or 80 on the TOEFL iBT.

Careers

Check out these ideas from ODU's Center for Career & Leadership Development and the . A median salary is a midpoint of what people typically earn—half of those surveyed earned above the median salary, and half earned below.

Produce financial and market intelligence by querying data repositories and generating periodic reports. Devise methods for identifying data patterns and trends in available information sources.

$108,020 Median Salary

Conduct research into fundamental computer and information science as theorists, designers, or inventors. Develop solutions to problems in the field of computer hardware and software.

$145,080 Median Salary

Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.

$108,020 Median Salary
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Cost of Attendance

Tuition is charged per credit hour. Amounts shown are tuition only and do not include mandatory fees, technology-delivered course fees, course-specific fees, books, housing, meal plans, or other costs. Campus-based students may take technology-delivered or online courses. Tuition is based on student classification. Fees for technology-delivered courses and other costs are listed on the ODU tuition and fees page

Virginia Resident
$510 / Cost Per-Credit
Technology Delivered Courses Outside Virginia and/or the United 91¶ÌÊÓÆµs
$662 / Cost Per-Credit
Non-Resident
$1,361 / Cost Per-Credit

Ways to Fund Your Degree

There are a few ways for you to save on the cost of attending Old Dominion 91¶ÌÊÓÆµ, including scholarships, assistantships, and student loans. For more details about financial aid at Old Dominion, visit the Financial Aid Office page.

Prospective master’s students can look forward to funding opportunities that include:

  1. The Graduate School and Office of Research summer research awards, which are offered each year.
  2. The Dr. Hussein Abdel-Wahab Memorial Graduate Fellowship

Review our Graduate School resources for updated information on scholarships and assistantships.

Contact

Associate Professor

3202 ENGR & COMP SCI BLDG
NORFOLK, VA 23529