Amnesty International

Master’s Degree in Analytics

Delivered online

Organisation:
Amnesty International
Level:
Qualification:
Enrolment Date(s):
September 15, 2018
Duration:
1-3 years
Cost:
$275 per credit hour

Course description

Why an online Master’s Degree from Georgia Tech?

This top 10-ranked Online Master of Science in Analytics (OMS Analytics) is a unique and valuable multidisciplinary integration among Georgia Tech’s College of Engineering, College of Computing and Scheller College of Business.

The degree program is the same rigorous curriculum as the campus Analytics program but is more flexible and available for under $10,000. Built for your schedule, OMS Analytics is designed to be completed in one to three years.

 

  • Learn at a top 10-ranked university
  • Depth by specialization through the choice of 3 tracks (Analytical Tools, Business Analytics, or Computation Data Analytics)
  • Personalization: 50% of the course slots are electives
  • Meet the same academic standards as on campus
  • Your diploma will be identical to the on-campus diploma (it will not say “online”)

The OMS Analytics degree requires 15 hours of core coursework on big data analytics, visual analytics, computing statistics, and operational research essentials. An additional 15 hours of electives allow students to choose an area of specialization in one of three tracks:

  • Analytical Tools
  • Business Analytics
  • Computational Data Analytics

Like on-campus students, online learners will complete a six credit hour applied analytics practicum with an outside company.

*Application fee is $75

Entry requirements

Application Requirements
A full Master’s program application includes the following:

An undergraduate Bachelor’s degree or the equivalent from an accredited institution
Transcripts from all universities attended
A professional resume
A Personal Statement
3 Contacts to submit letters of recommendation
TOEFL: Required for international students only
*Applicants are not required to submit GRE or GMAT scores with their applications.

Prerequisite Coursework
At least one college-level course or equivalent knowledge in:
Calculus and basic linear algebra
Computer programming in a high-level language like C, C++, Java, Python, FORTRAN, etc.
Probability/statistics