Georgian National University SEU campus

Master of Science in Artificial Intelligence for Business at the Georgian National University SEU

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Master of Science in Artificial Intelligence for Business at the Georgian National University SEU

 

The George Washington University's Master of Science in Artificial Intelligence for Business (MSAIB) at the Georgian National University SEU is intended to help Georgia meet its technical development objectives by training a pipeline of skilled applied artificial intelligence experts.

The program is designed to help SEU meet its education development objectives by training a pipeline of skilled education leaders to serve within government agencies, schools, university administrations and a growing private sector and to lead these organizations in advancing education development and the state strategic plan.

 

What Is a Master of Science in Artificial Intelligence for Business?

GW's MS in Artificial Intelligence for Business (MSAIB) is a STEM-designated program designed for students who want to do more than work alongside AI. It is perfect for individuals who want to build, deploy and govern AI-enabled systems that create organizational value. The MSAIB delivers an integrated skill set that bridges technical foundations, business strategy and responsible AI governance.

MSAIB pairs hands-on technical training — coding, statistics, generative AI — with the strategic, ethical and operational skills needed to apply AI inside organizations. Through ten courses, students progress from AI fundamentals to developing a capstone-level enterprise AI system.

 

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Program at a Glance

Total Credits: 30
Commitment: Full-Time
Location: The program will be delivered in-person by GW faculty on the SEU Campus in Tbilisi, Georgia. 

  • An attractive feature of this program is the possibility of the third semester of education to be undertaken in person at the GW campus in Washington, D.C. This option is subject to visa approval by the U.S. Embassy in Tbilisi.

 

 

Curriculum

Course List and Semester-by-Semester Plan:

SemesterCourse NumberCourse Name
Fall (First Semester)
 MAIB/ISTM 6200Programming and Coding Agents
 MAIB/DNSC 6311/6312Probabilistic and Statistical foundations for AI
 MAIB/ISTM 6227Generative AI with Business Applications 
Spring (Second Semester)
 MAIB/SMPP 6306Ethics of AI in Business 
 ISTM 6202Database Design, Implementation and Management 
 ISTM 6209AI-Driven Web and Digital Analytics
 ISTM 6214Foundations of Artificial Intelligence
Fall (Third Semester)
 ISTM 6217AI-IoT Management
 ISTM 6218Business Applications of Artificial Intelligence
 ISTM 6210Integrated Information and AI Systems Capstone

 

 

Program Faculty

  • Shivraj Kanungo, Vice Dean for Graduate Programs; Program Director, MS in Interdisciplinary Business Studies; Associate Professor of Decision Sciences
  • Shuba Dasgupta, Chair, Department of Information Systems & Technology Management; Program Director, MS in Information Systems Technology; Associate Professor of Information Systems and Technology Management
  • Refik Soyer, Program Director, MS in Business Analytics; Professor of Decision Sciences & Statistics
  • Director, Institute for Integrating Statistics in Decision Sciences
  • Pape Cisse, Co-Founder and Executive Director, Center for Cyber Diplomacy and Leadership
  • Wenjing Duan, Professor of Information Systems & Technology Management
  • Sunghun Chung, Associate Professor of Information Systems and Technology Management
  • Vikram Bhargava, Assistant Professor of Strategic Management & Public Policy
  • YoungKi Park, Associate Professor of Information Systems & Technology Management
  • Faith Bradley, Teaching Assistant Professor of Information Systems and Technology Management

 

 

Admissions


Deadline to Apply for Fall 2026: September 20

Requirements

Candidates for admission must have fulfilled all the requirements of SEU to participate in this program. 

Students must submit the following documents to apply:

  • Letters of recommendation
  • Official English Proficiency scores from either the TOEFL, IELTS or Duolingo
    • George Washington University requires international students to pass an English Language Exam. English Language Exam scores which require no further ESL requirements are as follows: IELTS (7), TOEFL (5), Duolingo (125). Minimum English Language Exam scores required for admission to the program which also will require additional English classes or a retest for GW degree conferral are: IELTS (6.0), TOEFL (4), Duolingo (115).
  • Statement of career objective
  • Official transcripts from all colleges and universities attended
  • Resume
  • GW Business online application
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members of Georgian National University sign documents of GW partnership MOU, screen behind them shows both schools' logos flanked by both countries' flags

 

How to Apply

  1. Create an Account: Register on our application portal (First Time Users Create an Account link below) using an email address you check frequently.
     

  2. Complete Your Profile: Fill out your biographical details; select MSAIB (MS in Artificial Intelligence for Business) for the program and "Off-Campus" for the location; and upload all required documents, including English language proficiency test scores and unofficial SEU transcripts as listed.
     

  3. Apply Your Fee Waiver: As a recognized student from Georgian National University SEU, your application fee will be waived when you apply through this dedicated portal. Complete your application and enter the fee waiver code SEUGWSB into the promotional code box located on the Pre-Submission Review tab before submitting.
     

  4. Submit & Track: Submit your application and log in anytime to check your real-time status or see if additional documents are needed.

 

Ready to begin? Your application will automatically save each time you click "Continue" at the bottom of a page, so you can work at your own pace. If you encounter any issues, please visit our Application FAQ page.

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Not quite ready to apply? For more information on program details, application deadlines and upcoming events, contact seugwsbatemail [dot] gwu [dot] edu (seugwsb[at]email[dot]gwu[dot]edu)