Pathway program for the MS Analytics program

GT Undergraduate students can apply to be a part of a pathway program for the MS Analytics program.

Applying as a pathway student includes the following benefits:

  • Streamlined application process
  • Early conditional admissions decision to MSA
  • Waiver of the GRE/GMAT

Application Requirements

BSIE/MSA

  • >= 3.5 GPA
  • >= 75 credit hours 
  • Have taken ISYE 4031, ISYE 3133, and CS 4400

BSBA/MSA

  • >= 3.5 GPA
  • >= 75 credit hours 
  • Have taken MGT 4050 and either CS 1301 or CS 1315

BSCS/MSA

  • >= 3.5 GPA
  • >= 75 credit hours
  • Have taken CS 2340 and at least two 3000 or 4000 level CS/CX courses (we'd also accept 6000 or 7000 or 8000 level CS or CSE courses.)

Application Materials

  • Resume
  • Statement of Purpose
  • Three letters of recommendation are required. Two must be from a Georgia Tech faculty or staff member, which attests to the applicant's potential to do graduate work.
  • GRE and GMAT scores are not required for admission. However, we will accept GMAT and GRE scores as part of the admissions process if you feel they will strengthen your application.

GT undergrads can count up to 4 courses taken as an undergrad towards MSA, with the following restrictions:

  • Must finish the undergraduate degree with a 3.5 or higher GPA
  • Must finish the Master's within two years of finishing the undergraduate degree
  • Can only double-count 2 courses that they used for any part of their undergraduate degree, including as free electives
  • Can count up to 2 Fallthrough courses (taken as an undergrad, but Degreeworks shows as "Fallthrough" because they weren't used toward any part of the degree)

Commonly taken double-counted courses:

  • Computer Science
    • CS 3510 Design & Analysis of Algorithms
    • CS 3511 Honors Design and Analysis of Algorithms
    • CS 4400 Database Systems (C-track elective)
    • CS 4460 Introduction to Information Visualization (B or C track elective)
    • CS 4476 Introduction to Computer Vision
    • CS 4510 Automata and Complexity Theory
    • CS 4540 Advanced Algorithms (OR elective, C-track elective)
    • CS 4616 Pattern Recognition
    • CS 4635 Knowledge-Based Artificial Intelligence
    • CS 4641 Machine Learning
    • CS 4644 Deep Learning
    • CS 4646 Machine Learning for Trading
    • CS 4650 Natural Language Understanding
    • CS 4725 Information Security Strategy and Policies (B-track elective)
    • CS 4726 Privacy, Technology, Policy, and Law (B-track elective)
    • CX 4140 Computational Modeling Algorithms
    • CX 4220 Introduction to High Performance Computing
    • CX 4230 Computer Simulation
    • Math 4022 Introduction to Graph Theory (OR elective)
    • Math 4032 Combinatorial Analysis (OR elective)
  • Computational Modeling, Simulation, and Data Analysis
    • CX 4240 Computing for Data Analysis (replaces CSE 6040)
    • CX 4242 Data and Visual Analytics (replaces CSE 6242)
    • CS 4641 Machine Learning (Stats elective, A-track elective, C-track elective, replaces CSE/ISYE 6740 for C-track)
  • Industrial and Systems Engineering
    • ISYE 4045 Advanced Simulation (OR elective, A-track elective)
    • ISYE 4111 Advanced Supply Chain Logistics (OR elective, A-track elective)
    • ISYE 4133 Advanced Optimization (OR elective, A-track elective)
    • ISYE 4134 Constraint Programming (OR elective, A-track elective)
    • ISYE 4232 Advanced Stochastics (OR elective, A-track elective)
    • ISYE 4601 Online Learning and Decision-Making (OR elective, A-track elective)
  • Most graduate-level CS, CX, ISYE, and MGT analytics-related courses
  • Other 4000-level analytics-related coursework may qualify; please verify with the MSA program
  • Note: ISYE 4031 Regression and Forecasting & ISYE 4034 Decision and Data Analysis will not count
     
  • Business
    • MGT 3076 Investments
    • MGT 4026 Financial Reporting & Analysis I
    • MGT 4027 Financial Reporting & Analysis II
    • MGT 4046 Applications of Data Analytics in Accounting
    • MGT 4068 Fixed Income
    • MGT 4311 Digital Marketing
    • MGT 4314 Understanding Markets with Data Science
    • MGT 4332 Database Marketing and CRM
    • MGT 4367 Revenue Analytics
    • MGT 4401 Supply Chain Modeling
    • MGT 4450 Project Management
    • MGT 4655 Business Data Preparation & Visualization
    • MGT 4073 Financial Modeling
    • MGT 4725 Information Security Strategies and Policies
    • MGT 4726 Privacy, Technology, Policy, and Law
    • MGT 4803 AI in Business
    • MGT 4803 People Analytics

Application Process

Please follow the steps below to apply as a GT Undergraduate BS/MS pathway student.

  1. Apply through the Graduate Studies Website

    1. Log in and select the MSA application for the track in which you would like to apply. You can choose from Analytical Tools, Business Analytics and Computational Data Analytics
    2. Input your Recommenders, Statement of Purpose, & Resume, etc.
    3. GRE or GMAT scores are not required if you plan to apply only to Graduate Programs at Georgia Tech. However, if you are applying to other programs external to GT and have scores please report them as well .
    4. After you have entered all the necessary information, email Harry Sharp (harry.sharp@isye.gatech.edu) and Candice McLemore (Candice.mclemore@isye.gatech.edu) to confirm your application is ready to submit and to request an application fee waiver for the MSA in Atlanta program.
    5. Once you’ve received your application fee waiver, please submit your application. If applying to the online MSA program, please note that application fee waivers are unavailable for the Online MSA (OMSA) application.

     

Application Deadlines

On-campus Program

  • Spring Enrollment - September 30th 
  • Fall Enrollment - February 15th 

Online Program  - https://pe.gatech.edu/degrees/analytics

  • Spring Enrollment (January) 
    • Standard Application Deadline: June 15th
    • Final Application Deadline: August 1st
  • Fall Enrollment (August)
    • Standard Application Deadline: February 1st
    • Final Application Deadline: March 15th