About this Program

The purpose of the M.S. degree program in Data Science and Analytics is to provide students with the knowledge and skills to use state-of-the-art programming tools and software packages to develop statistical models. Students will learn to use data for identifying trends and patterns, solving problems, communicating results, and recommending optimal solutions. Students will acquire knowledge, skills, and abilities about the discipline-specific scientific and theoretical concepts critical to data science and analytics.

Program Highlights

  • Consists of six core courses (18 credits)

  • Allows students to choose a concentration in: • Computational Data Analytics • Business Intelligence & Analytics • Engineering & Big Data Analytics • Geospatial Analytics

  • Includes a capstone project in all concentrations

  • Provides project-based learning, and students will discover how to use data from different areas such as business, science, engineering, and geospatial to solve real-world problems

  • Graduates will be knowledgeable and skilled at developing statistical models to detect trends, organizing and managing data, and leading teams in retrieving, cleaning data, and modeling data.

Degree Level
Degree Earned
Master of Science
Delivery Modes


Check out these ideas from ODU Career Development Services and the Occupational Information Network (O*NET). A median salary is a midpoint of what people typically earn—half of those surveyed earned above the median salary, and half earned below.


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.
  • A completed online application and associated application fee

  • A baccalaureate degree in computer science, electrical and/or computer engineering, mathematics, statistics, information system 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 will 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

  • Current scores on the Test of English as a Foreign Language (TOEFL) of at least 230 on the computer based TOEFL or 80 on the TOEFL iBT


Estimated rates for the 2023-24 academic year. Rates are subject to change. Anyone that is not a current Virginia resident will be charged non-resident rates. That includes international students.

Virginia Resident
Cost Per-Credit $599
Technology Delivered Courses Outside Virginia and/or the United States
Cost Per-Credit $623
Cost Per-Credit $1,439

Ways to Save

Here are a few ways for you to save on the cost of attending ODU. For more information visit University Student Financial aid

Resources, Scholarships and Assistantships

The Graduate School web page will provide updates as to resources, scholarships, assistantships. In addition:

  1. The Graduate School and Office of Research offer graduate summer research awards each year.
  2. The Dr. Hussein Abdel-Wahab Memorial Graduate Fellowship


Assistant Professor

NORFOLK, 23529