About this Program

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, Â鶹´«Ã½ (Â鶹´«Ã½) 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.

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 .

AT A GLANCE
Degree Level
Graduate
Degree Earned
Master of Science
Delivery Modes
On-Campus

Careers

Check out these ideas from Â鶹´«Ã½'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.

Data Scientists

$108,020 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.

Business Intelligence Analysts

$108,020 Median Salary

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.

Computer and Information Research Scientists

$145,080 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.

Admissions Requirements

What are the requirements to apply for Data Science & Analytics at Â鶹´«Ã½?
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 University admission requirements for graduate admission, including submission of the following:

    • A and associated application fee.
    • A baccalaureate degree in computer science, electrical and/or computer engineering, mathematics, statistics, information systems and technology, or a related field from a regionally accredited institution or an equivalent institution outside the U.S.
      • Students holding bachelor's degrees in an unrelated field need competency in topics related to basic statistics and computer science, such as differentiation and integration, vectors and matrices, determinants and matrix inverse, elementary statistics and probability, basic programming, software development and testing, and C++/java concepts.
    • Official copies of transcripts of all regionally accredited institutions attended (or equivalent non-U.S. institutions).
    • Two letters of recommendation from individuals familiar with the applicant's professional and/or academic background.
    • A current resume.
    • A statement of professional goals.

Cost of Attendance

We believe in providing students with transparent and accessible information about the cost of attendance. 

Review the estimated tuition rates for the 2024-25 academic year (subject to change). Non-resident rates are charged for anyone who is not a current Virginia resident, including international students.

Virginia Resident
Cost Per-Credit $620
Technology Delivered Courses Outside Virginia and/or the United States
Cost Per-Credit $642
Non-Resident
Cost Per-Credit $1,486

Ways to Fund Your Degree

There are a few ways for you to save on the cost of attending Â鶹´«Ã½, 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

Assistant Professor

3109 ENGR & COMP SCI BLDG
NORFOLK, 23529