M.S. in Data Science & Analytics

Old Dominion University

Norfolk, Virginia, USA
M.S. in Data Science & Analytics
Duration1.5-2 Years
LevelMasters Program
  • The Master of Science in Data Science and Analytics is a 30-credit hour, non-thesis degree program
  • The curriculum consists of a core of 18 credits (6 courses), a choice of two concentrations, and a capstone project
  • The two concentrations are in Computational Data Analytics and Business Intelligence & Analytics
  • Core courses will establish proficiency in data discovery, collection, processing, and cleaning; exploratory data analysis using statistics and visual analytics; and statistical modeling for prediction/forecasting
  • The objective of the core is to lay the foundation required by a data scientist working in any field
  • Coursework for the computational data analytics concentration focuses on teaching programming language, use of complex statistical tools, and mathematical modeling. Graduates will be able to enter data science, analytical, and statistical fields
  • Coursework for the business intelligence and analytics concentration focuses on providing students with the skills to gather, analyze, and use data to make informed decisions
  • The capstone project in both concentrations will provide the opportunity to synthesize knowledge from coursework to solve real-world problems
  • Graduates will be prepared to enter businesses and organizations that need educated professionals to help make informed recommendations
Fees componentsAmount
Tuition & fees1741427 INR
Insurance175776 INR
Transportation8642 INR
General Services & ID Card Fee1611 INR
Student Health Fee16113 INR
International Student Fee5127 INR
Technology Delivered Course Fee37645 INR
Personal/Books Expenses344228 INR
Student Transition Fee 5493 INR
Total594635 INR

Entry Criteria

Class 12thNo specific cutoff mentioned
BachelorsNo specific cutoff mentioned
  • 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 is required
  • Students holding bachelor's degrees in an unrelated field will need competency in topics related to basic statistics and computer science
ExamsTOEFL: 80

IELTS: 6.5

PTE: 53

GRE: Accepted
  • GRE scores with a 50% or better attainment on quantitative reasoning

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