Master of Science in Data Science & Analytics

Full Stack (Data Science & Analytics, M.S.)

Degree Level
Graduate
Degree Type
Master's
Delivery Modes
On-Campus

About this Program

Old Dominion University offers a Master of Science degree in Data Science and Analytics with a concentration in Full Stack. The program provides students with a foundation to use state-of-the-art programming tools and software packages, and includes the flexibility to explore the application of tools and methods across disciplines. Students will learn how to use data for identifying trends and patterns, solving problems, communicating results, and recommending optimal solutions.

Coursework for the full stack concentration provides the flexibility for students to take courses on a wide variety of Data Science topics, and includes electives from a variety of subject areas. Graduates will be able to enter data science, analytical, and statistical fields.

The program is offered online and on-campus in Norfolk, Virginia, through ÃÛÌÒ´«Ã½'s dedicated School of Data Science — one of the few standalone data science schools at a public R1 research university in the United States. Students choose from five concentration options and complete a capstone project using real-world data.


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Program Highlights

  • Students will prepare to enter rapidly emerging fields related to data science and analytics.

  • Coursework addresses relevant data analytics topics such as text analytics, visualization, algorithms and data structures, and information retrieval.

  • Students will learn computational data analysis, data visualization, and natural language processing.

Requirements

What are the requirements to apply for Master of Science in Data Science & Analytics at ÃÛÌÒ´«Ã½?
Students entering the Master of Science program in Master of Science in Data Science & Analytics should meet the minimum university requirements for 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 bachelor's degree from a regionally accredited institution in the United States, or an equivalent institution outside the United States, 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).
    • Two letters of recommendation from individuals familiar with the applicant's professional and/or academic background.
    • A statement of professional goals.
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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 ÃÛÌÒ´«Ã½ tuition and fees page. 

Virginia Resident
$510 / Cost Per-Credit
Technology Delivered Courses Outside Virginia and/or the United States
$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 University, including scholarships, assistantships, and student loans. For more details about financial aid at Old Dominion, visit the Financial Aid Office page.

Contact

Headshot of Jian Wu
Associate Professor

3202 ENGR & COMP SCI BLDG
NORFOLK, NORFOLK, VA 23529