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Course Listing

Thanks to Georgia Tech's strengths in each of the key areas of analytics, there are more than 50 courses that MS Analytics students can take to fulfill required and elective slots in their curriculum.  Students are encouraged to choose electives to develop specific expertise within an area of analytics where they have career interests.

Courses available to the students either as core requirements or elective options include topics such as forecasting, regression analysis, data mining, statistical learning, machine learning, computational statistics, simulation, optimization, probabilistic models, data analytics, visualization, databases, web and text mining, algorithms, high performance computing, parallel computing, graph analytics, business intelligence, pricing analytics, revenue management, business process analysis, financial analysis, decision support, privacy and security, and risk analytics (see below for the full list).

We provide academic and career advising for all MS Analytics students, to help you select the right set of coursework for your personal interests and career goals.

Required core and capstone courses

  • *CSE 6040 Computing for Data Analytics
  • *ISyE 8803 Introduction to Analytics Models
  • *MGT 8803 Introduction to Business for Analytics
  • CSE 6242 Data and Visual Analytics
  • MGT 6203 Data Analytics in Business
  • CSE/ISyE/MGT 6748 Applied Analytics Practicum

Students who enter the program with advanced background knowledge may take additional electives to replace courses marked with an asterisk(*).

Statistics courses

  • CSE/ISyE 6740 Computational Data Analytics (Machine Learning)
  • ISyE 6402 Time Series Analysis
  • ISyE 6404 Nonparametric Data Analysis
  • ISyE 6405 Statistical Methods for Manufacturing Design/Improvement
  • ISyE 6412 Theoretical Statistics
  • ISyE 6413 Design of Experiments
  • ISyE 6414 Regression Analysis
  • ISyE 6416 Computational Statistics
  • ISyE 6420 Bayesian Statistics
  • ISyE 6783 Financial Data Analysis
  • ISyE 6810 Systems Monitoring and Prognostics
  • ISyE 7406 Data Mining and Statistical Learning

Computing Courses

  • CSE 6010 Computational Problem Solving for Scientists and Engineers
  • CSE 6140 Computational Science and Engineering Algorithms
  • CSE 6141 Massive Graph Analytics
  • CSE 6220 High Performance Computing
  • CSE 6230 High Performance Parallel Computing
  • CSE 6240 Web Search and Text Mining
  • CSE 6241 Pattern Matching
  • CSE/ECE 6730 Modeling and Simulation: Fundamentals and Implementation
  • CSE/ISYE 6740 Computational Data Analysis (Machine Learning)
  • CSE 8803 Big Data in Healthcare
  • CS 6400 Database Systems Concepts and Design
  • CS 7450 Information Visualization
  • CS 7646 Machine Learning for Trading
  • CS 8803 Visual Data Analysis

Business courses

  • MGT 6057 Business Process Analysis and Design
  • MGT 6304 Customer Relationship Management
  • MGT 6310 Marketing Research
  • MGT 6400 Pricing Analytics and Revenue Management
  • MGT 6450 Project Management
  • MGT 8803 Risk Analytics
  • MGT 8803 Business Forecasting
  • MGT 8803 Marketing Analytics and Pricing Strategy
  • MGT 8803 Business Analytics Practicum
  • CS/MGT 6725 Information Security Strategies and Policy
  • CS/MGT 6726 Privacy, Technology, Policy and Law

Operations research courses

  • ISyE 6333 Operations Research I
  • ISyE 6334 Operations Research II
  • ISyE 6644 Simulation
  • ISyE 6650 Probabilistic Models
  • ISyE 6663 Nonlinear Optimization
  • ISyE 6669 Deterministic Optimization
  • ISyE 6679 Computational Methods

Applications of analytics courses

  • CP 6514 Introduction to Geographic Information Systems
  • ISyE 6201 Manufacturing Systems
  • ISyE 6202 Warehousing Systems
  • ISyE 6203 Transportation and Supply Chain Systems
  • ISyE 6230 Public Impact Applications of OR
  • ISyE 6335 Supply Chain Engineering I
  • ISyE 6336 Supply Chain Engineering II
  • ISyE 6337 Supply Chain Engineering III