24 months
Duration
275 USD/credit 4950 USD/year
275 USD/credit 4950 USD/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The Master of Science in Analytics (Online) offered by Georgia Institute of Technology 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.

Visit the official programme website for more information

Overview

Key facts

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.

Students of the Master of Science in Analytics (Online) offered by Georgia Institute of Technology  earning the MS Analytics degree will be able to understand and integrate fundamental principles and advanced concepts across the core analytics disciplines of computing, statistics, operations research, and business. Trained by world-class faculty in all of these areas, students will learn

  • identification and framing of problems;
  • acquisition, management, and utilization of large and fast-moving streams of data;
  • creation, analysis, solution, and interpretation of mathematical models using appropriate methodology; and
  • the integration of these interdisciplinary skills to enable graduates to successfully develop and execute analytics projects.

Programme Structure

Courses include:

  • Database Systems Concepts and Design
  • Machine Learning
  • Computing for Data Analytics
  • High-Performance Computing
  • Applied Analytics Practicum
  • Data Analytics in Business
  • Analytics Modeling

Key information

Duration

  • Part-time
    • 24 months

Start dates & application deadlines

Language

English
TOEFL admission requirements TOEFL® IBT
100

Credits

36 alternative credits

Delivered

Online

Academic requirements

GPA admission requirements GPA
3 (recommended)

English requirements

TOEFL admission requirements TOEFL® IBT
100

Other requirements

General requirements

  • Transcript (unofficial or official) for eligible degrees (only Physics, Computer Science, and all Engineering fields)
  • Official transcripts are welcomed but are only submitted if an acceptance has been offered.
  • Three (3) Letters of Recommendation
  • *Official TOEFL Scores (international students only)
  • * Optional Official GRE/GMAT

Tuition Fee

To alway see correct tuition fees
  • International

    4950 USD/year
    Tuition Fee
    Based on the tuition of 275 USD per credit during 24 months.
  • National

    4950 USD/year
    Tuition Fee
    Based on the tuition of 275 USD per credit during 24 months.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Analytics (Online)
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Georgia Institute of Technology

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