MS Analytics at Georgia Institute of Technology

Programme overview

The Master of Science in Analytics is an interdisciplinary program that combines statistics, operations research, computing, and business by melding the world-class expertise of the College of Engineering’s Stewart School of Industrial & Systems Engineering, the College of Computing’s School of Computational Science and Engineering, and the Scheller College of Business. By combining the strengths of these nationally ranked programs, graduates will be afforded the opportunity to integrate analytic skills in a unique and interdisciplinary way that yields deep insights into analytics problems.

Duration: 36 credit hours | Study mode: full-time | Location: Atlanta, GA, United States

What you will study

The curriculum totals 36 credit hours. Required courses include CSE 6040 Computing for Data Analysis: Methods and Tools; ISYE 6501 Intro Analytics Modeling; CSE 6242 Data and Visual Analytics; MGT 6203 Data Analytics in Business.

Career pathways

Analytics is defined as “the scientific process of transforming data into insight for making better decisions.” Tying together the new opportunities made possible by big data and computing, advanced quantitative methods from statistics and operations research, and the need for better business intelligence and decision support, analytics has quickly become a key facet of business strategy The MS Analytics program’s graduates will be able to move directly into business, industry, and government positions where they can apply the practical knowledge they have gained to immediately benefit their employers.

Official programme page

Application information

Entry requirements

Computational Data Analytics Track The Computational Data Analytics track provides students with a deeper understanding of the practice of dealing with so-called “big data”: how to acquire, preprocess, store, manage, analyze, and visualize data arriving at high volume, velocity, and variety Prerequisites The prerequisites of the MS Analytics program include: Interest in analytics, and a high level of ability that has been demonstrated within past performance on appropriate coursework and/or industry experience as well as standardized testing (GRE or GMAT); Basic mathematical background - at least one college-level course in each of calculus, basic linear algebra, and probability and statistics; Basic computing background - at least one college-level course (or equivalent basic knowledge) in computer programming using a high-level language such as Python; A bachelor’s degree or equivalent

Tuition is charged per credit, so the total depends on the modules you register for each year. Current fees are listed in the official fee schedule.

Graduate applications use one online graduate application (gradapp.gatech.edu) for all programmes and campuses; deadlines vary by programme and are published on each programme page.

Apply through the official page: https://grad.gatech.edu/

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