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Online Master of Science in Analytics Online Information Session Agenda

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Online Master of Science in Analytics Online Information Session Agenda Online Master of Science in Analytics Online Information Session Agenda Meet the Team Why Georgia Tech? Program Curriculum Program Format edX MicroMasters Foundational Course Opt-Out Program Prerequisites Application Requirements (including English Proficiency Requirement) Program Cost Summary (key points already covered) Q&A Online Master of Science in Analytics Questions not answered during the session should be sent to http://bit.ly/contact-omsanalytics Agenda Meet the Team Why Georgia Tech? Program Curriculum Program Format edX MicroMasters Foundational Course Opt-Out Program Prerequisites Application Requirements (including English Proficiency Requirement) Program Cost Summary (key points already covered) Q&A Online Master of Science in Analytics Questions not answered during the session should be sent to http://bit.ly/contact-omsanalytics Meet the Team Dr. Joel Sokol Director, Master of Science in Analytics Professor, Stewart School of ISyE Jennifer Wooley Director, Academic Programs & Student Services Professional Education Online Master of Science in Analytics Questions not answered during the session should be sent to http://bit.ly/contact-omsanalytics Meet the Team Yvonne McKinnon Heather Paige Katie Beccue Academic Program Academic Advisor Academic Advisor Manager Justin LaFantano Robyn Presley Tiara Anderson Academic Advisor Academic Advisor Academic Advisor Online Master of Science in Analytics Questions not answered during the session should be sent to http://bit.ly/contact-omsanalytics Agenda Meet the Team Why Georgia Tech? Program Curriculum Program Format edX MicroMasters Foundational Course Opt-Out Program Prerequisites Application Requirements (including English Proficiency Requirement) Program Cost Summary (key points already covered) Q&A Online Master of Science in Analytics Questions not answered during the session should be sent to http://bit.ly/contact-omsanalytics Analytics/Data Science: GT’s interdisciplinary approach …the ability to use statistics, quantitative analysis and information-modeling techniques to shape and make business decisions. (Accenture) GT College of Computing #8 in Computer Science #7 in Artificial #5 in Intelligence Information GT MS Systems #9 in in Statistics and Analytics Operational #4 in Research Quantitative #7 in Analysis in #1 in POM Business Industrial Engineering GT Scheller GT College of College of Business Engineering Online Master of Science in Analytics Questions not answered during the session should be sent to http://bit.ly/contact-omsanalytics What makes GT’s MS Analytics unique? Curriculum Requirements Breadth and Interdisciplinarity Outstanding analytics potential ▪ Core covers wide range of analytics areas ▪ Even without any analytics-related training ▪ Application areas, statistics/OR/ML models, software tools, ▪ Anthropology, Astrophysics, Chemistry, Law, Medicine, programming languages, etc. Political Science, Psychology, Religion, Theater, etc. ▪ Learning-how-to-learn emphasis ▪ True interdisciplinary integration Minimal prerequisite coursework ▪ College of Engineering (Statistics/OR) ▪ At least one course in each of ▪ College of Computing ▪ Calculus ▪ Scheller College of Business ▪ Computer Programming in Python ▪ Linear Algebra Depth by Specialization ▪ Calculus-based Probability/Statistics ▪ Choice of tracks: analytical tools, business analytics, ▪ Students without even this background can be admitted computational data analytics to the program and then take their prerequisite courses Result: Richly diverse range of student Depth by Personalization backgrounds ▪ 50% of course slots are electives ▪ 60+ courses to choose from (fewer online) ▪ Build a program to match interests/goals Online Master of Science in Analytics Questions not answered during the session should be sent to http://bit.ly/contact-omsanalytics MS Analytics Options Full-Time Part-Time MS/MBA Electives Instruction Tuition for Full Top-10 Option? Offered Format Degree Ranking MS in Analytics (GT Degree) ~$36,000 (GA) 70+ Fully face-to-face On-campus ~$49,000 (Other) ✓ (Fall 2014 - ) ✓ ✓ ✓ MS in Analytics (GT Degree) 20+ $9,900 Online ✓ (Same faculty as on- Fully online (Fall 2017 - ) ✓ ✓ campus) (No perqs) ✓ (in Atlanta w/ Evening MBA) MicroMasters $2,475 (edX certificate) N/A Fully online (Could count towards online Analytics: Essential (Three required degree and/or strengthen ✓ courses) Tools and Methods application) Online Master of Science in Analytics Questions not answered during the session should be sent to http://bit.ly/contact-omsanalytics Agenda Meet the Team Why Georgia Tech? Program Curriculum Program Format edX MicroMasters Foundational Course Opt-Out Program Prerequisites Application Requirements (including English Proficiency Requirement) Program Cost Summary (key points already covered) Q&A Online Master of Science in Analytics Questions not answered during the session should be sent to http://bit.ly/contact-omsanalytics CSE 6040: Computing for Data Analysis MGT 8803/6754: Business Fundamentals for Analytics Basic ISYE 6501: Intro to Analytics Modeling Core MGT 6203: Data Analytics in ELECTIVES: 2 Statistics, CSE 6242: Data and Visual Analytics Interdisciplinary Interdisciplinary Business 1 Operations Research Advanced Analytical Tools Business Analytics Computational Data Analytics Electives Electives Electives ISYE 6420: Bayesian Statistics MGT 8823: Data Analysis for Continuous CSE 6250: Big Data in Healthcare CS 7641 or ISYE 6740: Computational Data Improvement ISYE 6740: Computational Data Analysis MGT 6311: Digital Marketing Analysis (Machine Learning) (Machine Learning) MGT 8813: Financial Modeling CS 6400: Database Systems ISYE 6669: Deterministic Optimization MGT 8833: Privacy for Professionals CS 6601: Artificial Intelligence ISYE 6414: Regression Analysis CS 6750: Human Computer Interaction ISYE 6644: Simulation CS 7637: Knowledge-Based AI Analytical Tools Analytical ISYE 6402: Time Series Analysis CS 7642: Reinforcement Learning Business Analytics Business ▪ ISYE 7406: Data Mining and Statistical CS 7646: Machine Learning for Trading ▪ Tracks andElectives Tracks Learning Computational Analytics Data Computational ISYE 8803: High-Dimensional Data Analytics ▪ ISYE/MGT/CSE 6748: Applied Analytics Practicum Practical Practical Courses are subject to change. Experience Online Master of Science in Analytics Questions not answered during the session should be sent to http://bit.ly/contact-omsanalytics Agenda Meet the Team Why Georgia Tech? Program Curriculum Program Format edX MicroMasters Foundational Course Opt-Out Program Prerequisites Application Requirements (including English Proficiency Requirement) Program Cost Summary (key points already covered) Q&A Online Master of Science in Analytics Questions not answered during the session should be sent to http://bit.ly/contact-omsanalytics Program Format 36 credit Online courses are Courses are 100% Lessons can be Instructional Online hours;​ offered in three terms: 16 weeks long in online courses viewed at any time team will have proctoring 11 courses Fall & Spring, during the week once live office hours system used for 11 weeks in Summer released​ to answer exams Fall (Aug. – Dec.), questions​ Spring (Jan. – May), Summer (May – Aug.) Online Master of Science in Analytics Questions not answered during the session should be sent to http://bit.ly/contact-omsanalytics Agenda Meet the Team Why Georgia Tech? Program Curriculum Program Format edX MicroMasters Foundational Course Opt-Out Program Prerequisites Application Requirements (including English Proficiency Requirement) Program Cost Summary (key points already covered) Q&A Online Master of Science in Analytics Questions not answered during the session should be sent to http://bit.ly/contact-omsanalytics edX MicroMasters Analytics: Essential Tools and Methods MicroMasters certificate from edx.org Three MS Analytics courses: ▪ ISYE 6501: Introduction to Analytics Modeling ▪ CSE 6040: Computing for Data Analytics ▪ MGT 6203: Data Analytics in Business Possibility to use these toward the MS Analytics degree ▪ By petition only (if admitted) ▪ Petition might not be approved All OMSA students are required to register for all courses through Georgia Tech once they begin the OMSA program; MicroMasters sections taken after starting the program will not be counted. For example, a student who starts the OMSA program in Fall 2021 may only petition to get credit for MicroMasters courses taken in Summer 2021 or earlier. Online Master of Science in Analytics Questions not answered during the session should be sent to http://bit.ly/contact-omsanalytics Agenda Meet the Team Why Georgia Tech? Program Curriculum Program Format edX MicroMasters Foundational Course Opt-Out Program Prerequisites Application Requirements (including English Proficiency Requirement) Program Cost Summary (key points already covered) Q&A Online Master of Science in Analytics Questions not answered during the session should be sent to http://bit.ly/contact-omsanalytics Foundational Courses Opt-Out Possibility to replace foundational course(s) with an elective ▪ CSE 6040: Introduction to Computing for Data Analysis ▪ ISYE 6501: Introduction to Analytics Modeling ▪ MGT 8803/6754: Business Fundamentals for Analytics Only if you have sufficient background in the area of the replaced course ▪ After admission to program, the program will distribute a form for you to complete Online Master of Science in Analytics Questions not answered during the session should be sent to http://bit.ly/contact-omsanalytics Agenda
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