Masters of Science in Data Science & Analytics

Engineering & Big Data Analysis (Data Science & Analytics MS)

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

About this Program

Old Dominion University offers a Masters of Science in Data Science and Analytics with a concentration in engineering and big data analysis. The purpose of this concentration is to provide students with a thorough understanding of the methods and technologies to handle big data and to instill engineering problem-solving skills rooted in big data solutions.

It will further prepare them to become professionals trained in advanced data analytics, with the ability to transform large streams of multiple data sources into understandable and actionable information for the purpose of making decisions. The coursework (12 credits) will enable students to learn and practice the following competencies: data collection, data storage, processing and analyzing data, reporting statistics and patterns, drawing conclusions and insights and making actionable recommendations.


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Program Highlights

  • ÃÛÌÒ´«Ã½ is an R1 research university with active partnerships with NASA Langley Research Center, the Naval Research Laboratory, and Jefferson Lab — providing students access to real-world data science research that most graduate programs cannot offer.

  • The School of Data Science, one of a small number of dedicated data science schools at U.S. public universities, provides a focused academic community, dedicated faculty, and industry connections in the mid-Atlantic region.

  • A capstone project integrates real-world datasets from business, science, engineering, or geospatial domains.

  • The full program is available online through ÃÛÌÒ´«Ã½Global or on-campus in Norfolk, Virginia.

Requirements

What are the requirements to apply for Masters of Science in Data Science & Analytics at ÃÛÌÒ´«Ã½?
Students entering the Master of Science program in Masters of Science in Data Science & Analytics should meet the minimum university requirements for Graduate Admission.
  • A baccalaureate degree in computer science, electrical and/or computer engineering, mathematics, statistics, information system & technology, or a related field from a regionally-accredited institution or an equivalent institution outside the U.S.; students holding a bachelor's degree in an unrelated field will need competency in topics related to basic statistics and computer science.

  • Current scores on the Test of English as a Foreign Language (TOEFL) of at least 230 on the computer-based TOEFL or 79 on the TOEFL iBT, or IELTS 6.5 overall.


     

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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