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Georgia Tech Master’s in Analytics
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Georgia Tech Master’s in Analytics

Overview
Synopsis

Georgia Tech, Master of Science in Analytics produces prospects who can think uniquely across disciplines to transform data into pertinent insights for making informed decisions. Students learn from top international authorities on business intelligence and world leaders in big data and high performance computing. Graduates are all-rounded and ready for the chosen fields.

Category

MS Data Science Schools

Features

•36 credit-hours
•Analytics Area of Specialization: Analytical Tools, Business Analytics, and Computational Data Analytics
•5 Elective/Core Courses

Degree Name

Master’s in Analytics

University

Georgia Tech Master’s in Analytics

Duration

1 year

Cost

$40,000 - $60,000

What is best?

•36 credit-hours
•Analytics Area of Specialization: Analytical Tools, Business Analytics, and Computational Data Analytics
•5 Elective/Core Courses

What are the benefits?

• Advanced resources such as state-of –the-art computing infrastructure for massive data analytics
• Online program available
• Conference travel budget
• On-campus analysis job fairs
• Dedicated job placement assistance

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Training
8.1
6.8
Academics
8.1
6.8
Faculty
7.9
8.0
Placement
7.9
8.6
Industry Interaction
7.2
Bottom Line

Master of Science in Analytics at Georgia Tech, combines the world class interdisciplinary proficiency of Business, computing and Engineering, to yield deep insights into analytics problems. The students learn this key fact of business strategy through the first-class faculty from across all the three disciplines.

8.0
Editor Rating
7.5
Aggregated User Rating
32 ratings
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The Master of Science in Analytics is an interdisciplinary degree program that leverages the strengths of Georgia Tech in statistics, operations research, computing, and business by combining the world-class expertise of the Scheller College of Business, the College of Computing, and the College of Engineering. By blending the strengths of these nationally ranked programs, graduates will learn to integrate skills in a unique and interdisciplinary way that yields deep insights into analytics problems. Georgia Tech's interdisciplinary approach to analytics gives students the opportunity to learn directly from top international authorities on business intelligence, developers of cutting-edge analytics techniques in statistics and operations research, and world leaders in big data and high-performance computing. Students will use advanced resources across campus such as Georgia Tech's state-of-the-art high-performance computing infrastructure for massive-scale data analytics, work in cross-disciplinary teams to solve real analytics problems for a range of companies and organizations, and more. It all adds up to a unique ability to generate deeper insights into analytics problems. With Georgia Tech Master’s in Analytics degree, student graduates will enter the workplace with the computing, business, statistics, and operations research skills needed to immediately identify, analyze, and solve analytics problems for better business intelligence and decision support. Its objective is to produce and place graduates ready to make both immediate and long-term impacts in business, industry, and government. In addition to making contacts with leading analytics organizations during the course of the program, students will be funded to attend a major analytics conference, gain valuable exposure at Georgia Tech's Big Data Industry Forum, and be supported in their job search by a dedicated professional.

 

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