Eligibility Requirements for Georgia Institute Technology Master of Science in Analytics
min 1 years (no max limit)
Work Experience Required
Test Scores Requirement
Exam | Requirement |
---|---|
7.5 | |
100 |
Program Eligibility URL:https://www.analytics.gatech.edu/admissions
About Georgia Institute of Technology
Georgia Institute Technology Master of Science in Analytics Program Description
Georgia Institute Technology Master of Science in Analytics Program Curriculum
Program Curriculum URL:https://www.analytics.gatech.edu/curriculum/msa-curriculum
Core Courses
Core Modules
Interdisciplinary Data Science/Analytics Core:
- (15 credit hours) Interdisciplinary data science/analytics core
Applied Analytics Practicum:
- (6 credit hours) Applied Analytics Practicum (most students choose to take this course concurrently with an internship or other job)
Specialization
Elective Tracks
Analytical Tools Track Requirements:
- Five (5) electives in basic ML and statistical modeling (at least two) and operations research (at least one)
Business Analytics Track Requirements:
- At least three (3) business analytics courses beyond the introductory core, including MGT 6203 Data Analytics in Business
- Two electives in basic ML and statistical modeling, and one elective in operations research
Computational Data Analytics Track Requirements:
- At least three (3) computing courses beyond the introductory core, including CSE 6242 Data and Visual Analytics (can also include CSE/ISyE Computational Data Analysis (Machine Learning), which must be taken as a computing elective or as a statistics elective)
- Two electives in basic ML and statistical modeling (can include CSE/ISYE 6740 Computational Data Analytics (Machine Learning)), and one elective in operations research
Clubs And Association
Are you considering pursuing your Master of Science in Data Science at the Georgia Institute of Technology (Georgia Tech)? Besides the exceptional academic program, Georgia Tech offers a vibrant community of clubs and associations tailored to students interested in data science and analytics. These organizations provide invaluable opportunities for networking, skill-building, and collaboration, enhancing your educational experience and preparing you for a successful career in the field.
Data Science @ GT:
This organization is a hub for undergraduate and graduate students from all majors to delve into data science and analytics. Through workshops, events, and projects, members of this organization gain practical experience and deepen their understanding of data science concepts and methodologies. For more information about their activities and events, you can visit their website at datasciencegt.org.
Georgia Tech Analytics:
Housed within the College of Computing, this association offers students opportunities to explore and apply analytics principles through various initiatives and projects. Students can refine their analytical skills and stay abreast of industry trends by participating in Georgia Tech Analytics. To learn more about their activities and events, visit their website at analytics.gatech.edu.
GreyHat:
For those interested in cybersecurity, GreyHat provides a thriving community where students can hone their skills and knowledge in this critical field. With over 1,000 members, GreyHat offers workshops, competitions, and collaborative projects to help students develop practical cybersecurity expertise. To discover more about their activities and events, visit their website at cc.gatech.edu/student-organizations.
To explore a comprehensive list of all student organizations at Georgia Tech, you can visit their official website at gatech.campuslabs.com/engage/organizations. Additionally, platforms like LinkedIn offer opportunities to connect with these organizations and their members, providing updates and facilitating networking opportunities.
Georgia Institute Technology Master of Science in Analytics Acceptance Rate
Georgia Institute Technology Master of Science in Analytics Fee Structure
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