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Online Master of Science in Analytics

Now accepting applications for Spring 2019
Early Decision Deadline
Jul 15, 2018
Regular Decision Deadline
Sep 15, 2018
Program Begins
Jan 7, 2019
Request InformationAttend Info SessionOn-Campus ProgramApply Now

Curriculum

There's no better place to get your education in a field that requires computing, business, statistics, and research, than a university which ranks in the top 10 in all four categories — a place like Georgia Tech. In our Online Master of Science in Analytics (OMS Analytics) program you'll have access to 23 different courses to complete your education.

Designed to be completed in one-to-two years, our OMS Analytics consists of 15 hours of core coursework on big data analytics in business, visual analytics, computing, statistics, and operations research essentials. An additional 15 hours of electives will provide you with the flexibility to focus on your specific areas of interest and are selected from one of three tracks.

Six-Hour Practicum
Just like students in our Master of Science Analytics program on-campus, you'll get the opportunity to develop real-world analytics experience working with an outside firm through our six-credit-hour applied analytics practicum. You can propose an internship-like practicum, or pursue one of our pre-selected projects.

Analytical Tools Track

The Analytical Tools track focuses on the quantitative methodology: how to select, build, solve and analyze models using methodology, regression, forecasting, data mining, machine learning, optimization, stochastics, and simulation.
Introductory Core Requirements (9 hours)
Special Note

Students with sufficient background in any of these areas may apply to replace one or more of these courses with an elective.

Introduction for Computing for Data Analytics (CSE 6040)
Introduction to Analytics Modeling (ISYE 6501)
Business Fundamentals for Analytics (MGT 8803/6754)

Advanced Core Requirements (6 hours)

Data and Visual Analytics (CSE 6242)
Data Analytics in Business (MGT 6203)

Statistics Electives (6 hours)
Special Note

Select two courses from the list.

Machine Learning/Computational Data Analytics (CS 7641 or CSE/IYSE 6740)
Time Series Analysis (ISYE 6402)
Nonparametric Data Analysis (ISYE 6404)
Design and Analysis of Experiments (ISYE 6413)
Regression Analysis (ISYE 6414)
Computational Statistics (ISYE 6416)
Bayesian Statistics (ISYE 6420)
Data Mining and Statistical Learning (ISYE 7406)

Operations Elective (3 hours)
Special Note

Select one course from the list.

Simulation (ISYE 6644)
Probabilistic Models (ISYE 6650)
Deterministic Optimization (ISYE 6669)

Track Electives (6 hours)
Special Note

Select at least two courses from the list.

Machine Learning/Computational Data Analytics (CS 7641 or CSE/IYSE 6740)
Time Series Analysis (ISYE 6402)
Nonparametric Data Analysis (ISYE 6404)
Design and Analysis of Experiments (ISYE 6413)
Regression Analysis (ISYE 6414)
Computational Statistics (ISYE 6416)
Bayesian Statistics (ISYE 6420)
Simulation (ISYE 6644)
Probabilistic Models (ISYE 6650)
Deterministic Optimization (ISYE 6669)
Data Mining and Statistical Learning (ISYE 7406)

Additional Electives (0-9 hours)
Special Note

The number of elective hours required depends on how many Introductory Core courses (if any) are replaced with electives.

Students who take two of these additional electives from the Track Electives list of either the Business Analytics track or the Computational Data Analytics track will satisfy the requirements for two tracks. To satisfy the Computational Data Analytics Track, students must have taken CS 7641 or CSE/ISYE 6740 as one of their Statistics, Track, or Additional Electives.

Database Systems Concepts and Design (CS 6400)
Information Visualization (CS 7450)
Machine Learning/Computational Data Analytics (CS 7641 or CSE/IYSE 6740)
Computational Science and Engineering Algorithms (CSE 6140)
Web Search and Text Mining (CSE 6240)
Big Data Analytics in Healthcare (CSE 6250)
Time Series Analysis (ISYE 6402)
Nonparametric Data Analysis (ISYE 6404)
Design and Analysis of Experiments (ISYE 6413)
Regression Analysis (ISYE 6414)
Computational Statistics (ISYE 6416)
Bayesian Statistics (ISYE 6420)
Simulation (ISYE 6644)
Probabilistic Models (ISYE 6650)
Deterministic Optimization (ISYE 6669)
Data Mining and Statistical Learning (ISYE 7406)
Digital Marketing (MGT 6311)
Data Analysis for Continuous Improvement (MGT 8803)
Financial Modeling (MGT 8803)

Applied Analytics Practicum (6 hours)

Applied Analytics Practicum (ISYE 6748)

More

Business Analytics Track

The Business Analytics track explores the understanding, framing, and solution of problems in marketing, operations, finance, management of information technology, human resources, and accounting in order to develop and execute analytics projects within businesses.
Introductory Core Requirements (9 hours)
Special Note

Students with sufficient background in any of these areas may apply to replace one or more of these courses with an elective.

Introduction for Computing for Data Analytics (CSE 6040)
Introduction to Analytics Modeling (ISYE 6501)
Business Fundamentals for Analytics (MGT 8803/6754)

Advanced Core Requirements (6 hours)

Data and Visual Analytics (CSE 6242)
Data Analytics in Business (MGT 6203)

Statistics Electives (6 hours)
Special Note

Select two courses from the list.

Machine Learning/Computational Data Analytics (CS 7641 or CSE/IYSE 6740)
Time Series Analysis (ISYE 6402)
Nonparametric Data Analysis (ISYE 6404)
Design and Analysis of Experiments (ISYE 6413)
Regression Analysis (ISYE 6414)
Computational Statistics (ISYE 6416)
Bayesian Statistics (ISYE 6420)
Data Mining and Statistical Learning (ISYE 7406)

Operations Research Electives (3 hours)
Special Note

Select one course from the list.

Simulation (ISYE 6644)
Probabilistic Models (ISYE 6650)
Deterministic Optimization (ISYE 6669)

Track Electives (6 hours)
Special Note

Select at least two courses from the list.

Digital Marketing (MGT 6311)
Data Analysis for Continuous Improvement (MGT 8803)
Financial Modeling (MGT 8803)

Additional Electives (0-9 hours)
Special Note

The number of elective hours required depends on how many Introductory Core courses (if any) are replaced with electives.

Students who take two of these additional electives from the Track Electives list of either the Business Analytics track or the Computational Data Analytics track will satisfy the requirements for two tracks. To satisfy the Computational Data Analytics Track, students must have taken CS 7641 or CSE/ISYE 6740 as one of their Statistics, Track, or Additional Electives.

Database Systems Concepts and Design (CS 6400)
Information Visualization (CS 7450)
Machine Learning/Computational Data Analytics (CS 7641 or CSE/IYSE 6740)
Computational Science and Engineering Algorithms (CSE 6140)
Web Search and Text Mining (CSE 6240)
Big Data Analytics in Healthcare (CSE 6250)
Time Series Analysis (ISYE 6402)
Nonparametric Data Analysis (ISYE 6404)
Design and Analysis of Experiments (ISYE 6413)
Regression Analysis (ISYE 6414)
Computational Statistics (ISYE 6416)
Bayesian Statistics (ISYE 6420)
Simulation (ISYE 6644)
Probabilistic Models (ISYE 6650)
Deterministic Optimization (ISYE 6669)
Data Mining and Statistical Learning (ISYE 7406)
Digital Marketing (MGT 6311)
Data Analysis for Continuous Improvement (MGT 8803)
Financial Modeling (MGT 8803)

Applied Analytics Practicum (6 hours)

Applied Analytics Practicum (MGT 6748)

More

Computational Data Analytics Track

The Computational Data Analytics track explores a deeper understanding of big data—including how to acquire, preprocess, store, manage, analyze, and visualize large datasets.
Introductory Core Requirements (9 hours)
Special Note

Students with sufficient background in any of these areas may apply to replace one or more of these courses with an elective.

Introduction for Computing for Data Analytics (CSE 6040)
Introduction to Analytics Modeling (ISYE 6501)
Business Fundamentals for Analytics (MGT 8803/6754)

Advanced Core Requirements (6 hours)

Data and Visual Analytics (CSE 6242)
Data Analytics in Business (MGT 6203)

Statistics Electives (6 hours)
Special Note

Select two courses from the list.

Machine Learning/Computational Data Analytics (CS 7641 or CSE/IYSE 6740)
Time Series Analysis (ISYE 6402)
Nonparametric Data Analysis (ISYE 6404)
Design and Analysis of Experiments (ISYE 6413)
Regression Analysis (ISYE 6414)
Computational Statistics (ISYE 6416)
Bayesian Statistics (ISYE 6420)
Data Mining and Statistical Learning (ISYE 7406)

Operations Research Elective (3 hours)
Special Note

Select one course from the list.

Simulation (ISYE 6644)
Probabilistic Models (ISYE 6650)
Deterministic Optimization (ISYE 6669)

Track Electives (6 hours)
Special Note

Select at least two courses from the list.

Database Systems Concepts and Design (CS 6400)
Information Visualization (CS 7450)
Machine Learning/Computational Data Analytics (CS 7641 or CSE/IYSE 6740)
Computational Science and Engineering Algorithms (CSE 6140)
Web Search and Text Mining (CSE 6240)
Big Data Analytics in Healthcare (CSE 6250)

Additional Electives (0-9 hours)
Special Note

The number of elective hours required depends on how many Introductory Core courses (if any) are replaced with electives.

Students who take two of these additional electives from the Track Electives list of either the Business Analytics track or the Computational Data Analytics track will satisfy the requirements for two tracks. To satisfy the Computational Data Analytics Track, students must have taken CS 7641 or CSE/ISYE 6740 as one of their Statistics, Track, or Additional Electives.

Database Systems Concepts and Design (CS 6400)
Information Visualization (CS 7450)
Machine Learning/Computational Data Analytics (CS 7641 or CSE/IYSE 6740)
Computational Science and Engineering Algorithms (CSE 6140)
Web Search and Text Mining (CSE 6240)
Big Data Analytics in Healthcare (CSE 6250)
Time Series Analysis (ISYE 6402)
Nonparametric Data Analysis (ISYE 6404)
Design and Analysis of Experiments (ISYE 6413)
Regression Analysis (ISYE 6414)
Computational Statistics (ISYE 6416)
Bayesian Statistics (ISYE 6420)
Simulation (ISYE 6644)
Probabilistic Models (ISYE 6650)
Deterministic Optimization (ISYE 6669)
Data Mining and Statistical Learning (ISYE 7406)
Digital Marketing (MGT 6311)
Data Analysis for Continuous Improvement (MGT 8803)
Financial Modeling (MGT 8803)

Applied Analytics Practicum (6 hours)

Applied Analytics Practicum (CSE 6748)

More

Questions?

Want to know how an OMS Analytics degree can help you advance your career? Want to stay current on important deadlines, updates, and news? Need more details?

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