Master of Science in Analytics

American University

Washington D.C., Virginia, USA
Master of Science in Analytics
Duration1-2 Years
LevelMasters Program
  • Master of Science in Analytics (MSAn) program prepares students to be experts in data analysis and to use data to solve a variety of organizational and business challenges
  • Students can take electives in Accounting Forensics; Biostatistics; Business Fundamentals; Computational Statistics; IT Consulting; Marketing; or other approved graduate analytical subjects
  • Course provides the full spectrum of analytics best practices needed to enhance an organization’s fiscal performance and operational effectiveness
  • Students in the MSAn program learn evidence-based data gathering, data modeling, and quantitative analysis, as well as how to implement these tools to provide businesses with competitive advantages
  • Students gain skills to work in business intelligence, financial analysis, marketing, and consulting
Fees componentsAmount
Tuition & fees2919639 INR
Insurance142964 INR
Transportation102536 INR
Personal Expenses106198 INR
Books80564 INR
Graduate Activity fee4394 INR
Technology Fees17578 INR
Sports Center fee 9521 INR
Enrollment Fees36620 INR
Metro U-Pass Fee19921 INR
Total520296 INR

Entry Criteria

Class 12thNo specific cutoff mentioned
BachelorsNo specific cutoff mentioned
  • Applicants must have earned an undergraduate bachelor's degree from an accredited institution with a satisfactory grade point average
ExamsTOEFL: 100

IELTS: 7

Additional info
  • Applicants are strongly encouraged to submit a GMAT or GRE score as part of their application, as additional funding may be available for applicants who submit scores. If they have not taken, and do not plan to take the GMAT or GRE, they may submit a Supplemental Essay in lieu of submitting a test score
  • Applicants may submit a Supplemental Essay in lieu of submitting GRE or GMAT scores
    • The essay is completed within the application in the Standardized Test section. The prompt for the supplemental essay is: "Tell us about a time that you have used quantitative methods or data to drive a decision-making process, either as a professional or in your academic experience." Length of approximately 500-750 words is suggested
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