Artificial Intelligence for Business Leaders

Post Graduate Program in Artificial Intelligence for Leaders

Application closes on 28th May 2026

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Top rated AI course for leaders

Application closes 28th May 2026

What’s new in this online course?

Modules on Agentic and Generative AI

Learn Agentic and Generative AI for NLP, covering model design, fine-tuning, and real-world applications, with a focus on data, computation, and ethics.
No code prompt engineering modules

Learn prompt engineering without coding, focusing on crafting effective prompts for AI models. Explore techniques to optimize model outputs and solve problems across various applications

Program Outcomes

Master AI for business strategy without coding

Become a leader in AI & drive business growth

Gain strategic insights to manage and execute AI projects effectively
Explore AI’s transformative potential across diverse business scenarios
Build innovative AI-powered products and services to drive growth
Lead and collaborate with cross-functional teams for seamless AI integration

Earn a postgraduate certificate from The University of Texas at Austin

#1 (U.S., Big Data Management) in MS Business Analytic

Eduniversal (2025)
#6 Analytics

U.S. News & World Report (2025)
#6 Business Programs

U.S. News & World Report (2025)
#7 in MS - Business Analytics

QS World University Rankings (2022)
#7 in MS Business Analytics

The Financial Engineer Times (2025)
#3 in Information Systems Graduate Programs

U.S. News & World Report (April 2025)
#7 Public University in the U.S.

U.S. News & World Report, 2026
#6 in Executive Education - Custom Programs

Financial Times, 2022

Key program highlights

Why choose the AI for leaders program

Learn from world’s top university

Earn a certificate from a world-renowned university, taught by top faculty
Industry-ready curriculum

The Agentic and Generative AI Modules empower business managers to leverage generative AI for innovation, strategic decisions, and driving organizational growth.
4 hands-on projects

Work on four hands-on projects and a capstone project under industry experts’ guidance, applying your learning to solve real-world business problems.
Get expert mentorship

Interact with mentors who are experts in AI and get guidance to complete and showcase your projects
Personalized program support

Get 1:1 personal assistance from a Program Manager to complete your course with ease.
No code approach

Leverage no-code tools to make better predictions and improve decision-making

Skills you will learn

Agentic AI

Generative AI

AI Strategy Development

AI Project Estimation

POC Development

Machine Learning

Deep Learning

Build vs. Buy Decision-Making

Prompt Engineering

Strategic LMOps and LLMOps

Building and Scaling AI Teams

AI ROI Assessment

AI Ethics and Governance

AI-Driven Decision Making

Agentic AI

Generative AI

AI Strategy Development

AI Project Estimation

POC Development

Machine Learning

Deep Learning

Build vs. Buy Decision-Making

Prompt Engineering

Strategic LMOps and LLMOps

Building and Scaling AI Teams

AI ROI Assessment

AI Ethics and Governance

AI-Driven Decision Making

This program is ideal for

Leaders who want to empowers by leverage AI for strategic decision-making and business growth

View Batch Profile

Business Leaders

Leverage the power of AI in building products and services to grow your business and make profit
Operations, Delivery, and Product Managers

Launch new products in the market swiftly and successfully and boost customer experience
Entrepreneurs and Consultants

Build working prototypes for your business, without depending on large data teams
Working Professionals and Marketers

Lead AI and data-driven teams and build innovation initiatives using AI technologies

Experience a unique learning journey

Learn with self-paced videos

Learn critical concepts from video lectures by faculty & AI experts
Engage with your mentors

Clarify your doubts and gain practical skills during the weekend mentorship sessions
Work on hands-on projects

Work on projects to apply the concepts & tools learnt in the module
Get personalized assistance

Our dedicated program managers will support you whenever you need

Curriculum

Our curriculum has been carefully-crafted to provide you with the breadth and depth you need to make smarter business decisions, lead AI teams, and devise an AI strategy for your organization. Accordingly, it covers the most business-relevant technologies and diverse industry applications to turn you into an AI-empowered leader.

Course 1 | The Business of AI

Business of AI

- Introduction to Artificial Intelligence - Explosion in Artificial Intelligence - Business Applications and Limitations - Building AI Project, ROI Calculation

Building POC for AI Project

- Company - Vision, Mission and Objective - Solution at a Glance, Market Potential - Barriers to Entry - Threats and Opportunities - Competitors Analysis - Target Customers - Requirement of Data and People - Product Development Roadmap - Expansion Plan, Business Plan - AI Techniques and their Implementation - Domains and their Adoptions - Identify AI Use Cases

Course 2 | Data Modeling

Data Visualization

- What is Data and it's Types - Use of Data - Different Types of Data Objects - Understanding Visual Metrics

Linear Regression

- Introduction to Machine Learning - Introduction to Regression - Multivariate Linear Regression - Categorical Independent Variables in Regression - Evaluation Metrics

Course 3 | Machine Learning and Deep Learning

Classification with Ensemble Techniques

- Introduction to Classification - Decision Trees - Classification Model Evaluation Techniques - Pruning - Ensemble Techniques: Random Forests

Neural Networks

- Introduction to Neural Networks - Activation Functions - Feed Forward Neural Network - Topology of a Neural Network - Error and Loss Function - Training a Neural Network - Optimization - Gradient Descent and Backpropagation - Learning Rate and Momentum

Course 4 | Discovering Patterns in Data

Clustering

- Introduction to Clustering - K-means Clustering - Importance of Scaling - Applications of Clustering - Advantages and Disadvantages of K-means Clustering - Visual Analysis of Clustering - Dynamic Clustering - Principal Component Analysis - Dimensionality Reduction

Recommendation System

- Introduction to Recommendation System - Content-based Filtering - Collaborative Filtering - Similarity Measures - The Case of Recommending Songs - Hybrid Systems and other methods

Course 5 | Generative AI and Agentic AI

Foundations of Generative AI

- Introduction to Generative AI - Supervised and Unsupervised Learning - Discriminative vs Generative AI - History of GenAI - Introduction to LLMs - How does the Model Understand the Text - How does the Model Predict the Next Word - Why do Language Models Hallucinate Business Problems Solved by GenAI

Agentic AI Leadership

- Discussion on Large Language Models - Introduction to AI Agents - Exploring AI Agent Architectures - Enhancing AI Agents with Memory - Introduction to Model Context Protocol (MCP) Servers - Hands-on Building of AI Agents Using n8n

Course 6 | Building AI-First Organization

Implementing Generative AI in Your Organization

- Generative AI for Business Value - A Decision Calculus to Prioritize GenAI Use Cases - Generative AI Application Architecture - Model Selection, Customization, and Fine-Tuning - Data and Infrastructure Requirements - Total Cost of Ownership - Integration with Existing Systems - Constraints and Challenges Driving Development and Adoption - GenAI Implementation Roadmap

Building AI Teams

- Tasks Involved in AI Projects - Key Roles and Responsibilities in AI Teams - Leadership Roles in AI Teams - AI Team Dynamics - Recruiting Talent: Talent Supply Chain - Upskilling AI Teams - Scrum and Agile Project Management - Performance Management of AI Teams - Change Management for AI Teams Fostering Collaboration in AI Teams

Course 7 | Capstone

You will gain hands-on experience working on a real-time project under the guidance of industry experts, learning to apply AI to solve real business problems. As an AI-powered business leader, you will study the market for opportunities and pitch a business plan for an AI-based product. This includes preparing a market study (market size, competition, and consumer insights), a product requirement document (data and people), a roadmap for implementation, financial projections, business impact, and other key elements.

Self-Paced Modules

Claude-Based AI Workflows

- Design and Execute AI Workflows - Model selection and prompt engineering using Claude Chat - Agentic workflow design and orchestration using Claude CoWork - Plan → Approve → Execute → Iterate framework - Designing workflows with reasoning, tools, and multi-step execution - Applying concepts through real-world case studies *Disclaimer: Claude API access is not included as part of the program. Learners may explore advanced usage independently.

Prompt Engineering and RAG

- Introduction to Prompt Engineering - Zero-Shot and Few-Shot Prompting - Chain-of-Thought Prompting - Comparing Prompting Techniques - A Checklist and Workflow for Prompting - Limitations of LLMs - What Is RAG (Retrieval-Augmented Generation), Prompt Engineering for RAG, and Hands-on Use Cases

Computer Vision

- Introduction to Computer Vision - Types of Computer Vision problems - Pixel - How does a computer see an image - 3D Images, Resolution, ImageTransformations - Convolution - Pooling - Significance of Convolution & Pooling - Convolutional Neural Networks - Case studies

AI in Practice

- Applications of Transfer Learning - Dealing with Imbalanced Data: - Data Augmentation - Model Deployment - Modes of Training - Serialization of Models - Model Monitoring and Recalibration

Hands-on projects

Implement your skills alongside established leaders and fellow learners from around the world

20+

case studies
1 team

Capstone project
4

real-world projects

Any Industry based on your choice

Building POC for AI Project

Description

The project involves ideating an AI product and building its POC, including the problem statement, proposed solution, validation metrics, market analysis, and timelines for implementing the project.

Skills you will learn

Market Analysis
Building Roadmap
AI Project Estimation

Finance

ShowTime

Description

The project involves building classification and regression models to redefine the loan approval and loan pricing strategy to minimize loss due to loan default for an auto finance company.

Skills you will learn

Data Visualization
Exploratory Data Analysis
Linear Regression

Sales Lead Conversion Prediction

Neural Networks and Ensemble Techniques

Description

Build a classification model to predict the conversion of sales leads enabling the company to optimize resource allocation.

Skills you will learn

Decision Trees
Random Forest
Model Evaluation
Classification

Discovering Patterns in Data

Customer Segmentation

Description

Identify the various segments of customers to expand its credit card customer base by targeting new customers and upselling to existing customers.

Skills you will learn

K-Means Clustering
Exploratory Data Analysis
Data Preprocessing
Cluster Profiling

Retail

GenAI-powered Review Categorization

Description

The project involves analyzing the customer review and using the prompt engineering technique in conjunction with the Generative AI model to categorize the articles, predict the sentiment, and generate a first response to the customer based on the sentiment of the review. This data-driven approach empowers businesses to enhance customer experiences, drive growth, and cultivate enduring relationships with their clientele in today's fast-paced business environment.

Skills you will learn

Prompt Engineering
Large Langauge Models
Natural Language Processing
Classification

Learn in-demand AI tools and techniques

Leverage industry-relevant tools and techniques to maximize learning outcomes

KNIME
n8n
ChatGPT
Gemini
NotebookLM

Earn your certificate from The University of Texas at Austin

Get a PG certificate from one of the top universities in USA and showcase it to your network

* Image for illustration only. Certificate subject to change.

Meet your faculty

Learn from the top World-renowned faculty

Dr. Kumar Muthuraman

Faculty Director, McCombs School of Business, The University of Texas at Austin

Faculty Director, Center for Analytics and Transformative Technologies

21+ years' experience in AI, ML, Deep Learning, and NLP.

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Dr. Abhinanda Sarkar

Senior Faculty & Director Academics, Great Learning

30+ years of experience in data science, ML, and analytics.

Ph.D. from Stanford, taught at MIT, ISI, and IIM Bangalore.

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Dr. Pavankumar Gurazada

Senior Faculty, Academics, Great Learning

15+ years of experience in marketing, digital marketing, and machine learning.

Ph.D. from IIM Lucknow; MBA from IIM Bangalore; IIT Bombay graduate.

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Interact with our industry mentors

Interact with dedicated mentors who are practitioners and experts in Agentic AI

Georg Huettenegger

Generative and Conversational AI Leader, Deloitte Consulting
Dr. Sunil Kumar Vuppala

AI Partner, ArisGlobal
Randhir Agarwal

Director, Data Science & Data Engineering, Samsung Electronics
Balachandra Deshpande

Head of Data Science, Enterprise Minds, Inc
G Anthony Reina

Head of Machine Learning, Stealth BioTech Startup
Jeremy Samuelson

Executive VP, AI and Innovation, Integrated Quantum Technologies

Learners review our program support & mentors

Read our learners experience of the program support, faculty & mentors

AI Upskilling for Experienced Engineers: Real-World Learning with Projects and Tools

I am Stefan Badu from Timisoara, Romania. I work as a Software Expert in the automotive domain at HUF Romania. I have just completed the AI for Leaders program. I am an engineer, and throughout my journey, I have built a strong educational foundation. I did my Bachelor’s Degree in Automation and Computer Science from the Technical University of Cluj-Napoca. I also did a Master’s Degree in Modern Production Management from the West University of Timisoara. I am glad that now I can add the Post Graduate Program in Artificial Intelligence for Leaders from the McCombs School of Business at The University of Texas to my academic background. I also have 20+ years of professional experience across several companies, where I have held roles such as Software Developer, Business Process Analyst, Business System Analyst, Project Manager, and Team Leader. As someone who is always learning new skills, AI has become a “must-have” in today’s world. The learning experience was fast-paced, with a lot of content and many new concepts for me. At times, I felt overwhelmed, but I truly enjoyed the journey. Online, self-paced courses with a mix of theory and projects are, in my opinion, the future of education. The graded quizzes helped create structure, setting deadlines, encouraging recap, prioritization, and steady progress. After almost half a year, I feel like I’ve only scratched the surface of AI. This experience opened a door for me, or better said, it opened my “third eye”: the AI eye. The program helped me gain a strong understanding of the core concepts behind AI. My experience with KNIME was especially valuable. Seeing concepts in action made a big difference for me. I have started using generative AI tools in my day-to-day work. I use them to improve the quality of my tasks and to explore different perspectives. I understand this is part of the learning curve, and it takes time. I am confident that all this effort will have a meaningful impact on whatever I choose to do next.

Read More

Stefan Badu

Huf Romania S.R.L. , Timișoara

10th Mar 2026
Applying AI in Banking: My Journey as a Branch Manager Learning AI for Leaders

My name is Rume Oghene from Delta State, Nigeria. I work as a Branch Manager at Union Bank of Nigeria PLC. I have just completed the Post Graduate Program in Artificial Intelligence for Leaders from the McCombs School of Business at The University of Texas. I hold a BSc in Accountancy and an MSc in Business Administration. I enrolled in this program to deploy new skills to become more effective in my current role as a Branch Manager. My learning experience was truly educational. I learned practical techniques in Artificial Intelligence as applied to businesses and gained a deeper understanding of the field. My two main learning takeaways were Generative AI skills and Data modeling skills The program has helped me become a manager with stronger technical and digital skills.

Read More

Rume Oghene

Branch Manager , UNION BANK OF NIGERIA PLC

5th Mar 2026
Strengthening Leadership with Strategic AI Understanding

I work as a Team Lead, hold an M.Tech in Electrical Engineering, and have more than 25 years of experience in the IT industry, working with leading banking and financial organizations. Before joining this program, I completed the Advanced Certification in Machine Learning and Cloud from IIT Madras and the Post Graduate Program in Data Science with Generative AI from the McCombs School of Business at the University of Texas at Austin. My motivation for joining the Post Graduate Program in Artificial Intelligence for Leaders from the McCombs School of Business at the University of Texas at Austin was to stay relevant in a rapidly evolving technology landscape and deepen my understanding of the broader AI ecosystem from a leadership perspective. I wanted to go beyond surface-level awareness and develop a structured understanding of how Artificial Intelligence can be strategically leveraged to drive innovation, operational efficiency, and measurable business value. The program offered a strong blend of foundational AI concepts, real-world business applications, and leadership perspectives. I particularly appreciated the practical case studies, industry examples, and interactive sessions that made complex topics easier to understand and connect with business decision-making. The discussions around Responsible AI, governance, and implementation challenges broadened my perspective on how organizations should adopt emerging technologies thoughtfully. Overall, the program strengthened my confidence in evaluating AI opportunities, collaborating effectively with technical teams, and making informed strategic decisions in an AI-driven environment. As I complete the program, I look forward to highlighting this learning in my professional profile and network, and I am confident that it will have a lasting positive impact on my career.

Read More

Dipankar Mishra

,

12th Feb 2026
Mentorship with real-world focus and excellent graphics makes the presentations outstanding.

I genuinely appreciate the mentorship provided in the program. The presentations were great and focused on real-world problems while covering them in depth too. The icing on the cake was the excellent use of graphics to clarify the concepts.

Read More

Ken Mugo

Regional Information Technology Manager - Africa , The Nature Conservancy

29th May 2024
One of the best online programs for aspiring AI leaders.

This was one of the best online programs I enrolled in. My Program Manager made sure that I had a fulfilling learning experience. My journey with Great Learning was the best! I would highly recommend this program to anyone wanting to become an AI leader.

Read More

Salim Azzabi Zouraq

Capacity Building & Collaboration Officer To Accelerate WHO's Triple Billion Targets , World Health Organization

10th Jul 2022
Artificial Intelligence for Leaders was one of the best programs in my professional career.

Artificial Intelligence for Leaders was one of the best programs I took in the last decade of my professional career. The program offered a lot of content if one was willing to explore all the resources included. I enjoyed the Cohorts and Industry sessions. The program pace was intense, as expected, and required rigorous study to develop a good understanding of current trends in the Artificial Intelligence and Machine Learning domain. Anyone interested in Artificial Intelligence and Machine Learning should have started here. The support system was beneficial and prompt. I would love to take another program with Great Learning in the future.

Read More

Monal B Shah

RPA/IPA Lead - Automation Center Of Excellence , Abbvie

21st May 2022
Periodic Mentored Learning Sessions were extremely helpful, complementing the recorded lectures.

This was my third program with Great Learning. Their periodic Mentored Learning Sessions, led by highly capable industry professionals, were extremely helpful, complementing the recorded lectures. It provided a platform where students could interact to clarify doubts and enhance their learning experience. Additionally, the project work cemented the concepts, so they stayed with the learner for a long time. Just the fact that I was at my third consecutive program with the team was a testament to how valuable I found Great Learning’s way of transferring knowledge. Highly recommended.

Read More

Syed Asad Ehsan Kazmi

Lead Engineer , Petroleum Development Oman

21st Jan 2022
The Program Manager was phenomenal, always proactively reminding us of deadlines.

The Program Manager was phenomenal throughout the learning journey, always proactively reminding us of deadlines and coming up with innovative solutions to make things work for the group. They also followed up with each learner individually, which was greatly appreciated. I highly recommend Great Learning to friends and colleagues and look forward to taking up more programs in the future.

Read More

NANCY P JANI

Service President , Bank Of America

12th Dec 2021
Top-notch support and service that goes above and beyond expectations.

I have been thoroughly impressed by my experience with AIFL. I have received top-notch support and service from the beginning, with the team going above and beyond to answer all my questions. The program materials are comprehensive, and the live sessions and industry talks bring the theory to life. The instructors are knowledgeable and attentive, making sure to address any doubts I had. I highly recommend this program for anyone looking for a great educational experience in the AI industry.

Read More

Omar Alassil

Director of AI Ops Managed Networks , NTT Ltd.

9th Dec 2021
Clear, logical, and effective structure with concise blocks easy to absorb.

The program covered a lot of information that was provided in concise blocks that were easy to absorb. The structure is clear, logical, and effective. The main benefits came from executing the projects, receiving written feedback, and having the opportunity to attend live sessions with AI industry experts. The format of the program has given me the confidence to enhance my AI understanding and implement new AI techniques on my projects for a better decision-making process.

Read More

Maria Magdalena Chiotoroiu

Senior Reservoir Engineer , OMV

3rd Dec 2021

Watch inspiring success stories

Our learners experience

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"A comprehensive program that builds strong foundations, real-world expertise, and client-focused solutions"

This program offers exceptional AI content, expert mentorship, and practical skills, helping me master AI foundations, implement solutions, and deliver greater value to my clients.

Tauhid Abddul Jalil

Principal Solutions Consultant , Laiye
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"Expert-led mentorship, specialized sessions, and real-world projects make this program perfect for AI leaders"

This program, designed for leaders, offers expert-led mentorship, hands-on projects, and in-depth AI learning, helping me explore diverse AI applications and advance my career.

Usha Boddapu

CEO/Founder , Esolvit Inc.
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"This course delivered real-world AI knowledge, expert support, and the flexibility to balance work and study"

This comprehensive AI program, with expert mentorship and hands-on learning, provided real-world knowledge and flexibility to balance work, enhancing my career and AI application skills.

Gregory Thompson

Vice President Supply Chain , Carnival Cruise Line

Course Fees

The course fee is USD 3,100

Invest in your career

Gain strategic insights to manage and execute AI projects effectively
Explore AI’s transformative potential across diverse business scenarios.
Build innovative AI-powered products and services to drive growth
Lead and collaborate with cross-functional teams for seamless AI integration.

Take the next step

00 : 00 : 00

Apply to the program now or schedule a call with a program advisor

Unlock exclusive course sneak peek

Application Closes: 28th May 2026

Talk to our advisor for offers & course details

Admission Process

Admissions close once the required number of participants enroll. Apply early to secure your spot

1. Fill application form

Apply by filling a simple online application form.
2. Interview Process

A panel from Great Learning will review your application to determine your fit for the program.
3. Join program

After a final review, you will receive an offer for a seat in the upcoming cohort of the program.

Course Eligibility

Applicants should have a Bachelor's degree with a minimum of 50% aggregate marks or equivalent

Limited seats available

Apply today and become an AI enabled leader

Batch start date

Online · To be announced

Admissions Open

Apply Now

Got more questions? Talk to us

Connect with our advisors and get your queries resolved

Speak with our expert +1 512 883 2893 or email to aifl.utaustin@mygreatlearning.com

Frequently asked questions

Program Details

Admissions & Eligibility

Fee & Payment

Program Details

What is the role of the University of Texas at Austin in the PG Program Artificial Intelligence for Leaders?

The PG Program in Artificial Intelligence for Leaders (PGP-AIFL) curriculum has been designed by the McCombs School of Business at the University of Texas at Austin. Award-winning faculty members from UT Austin and leading AI practitioners have developed the content and assessments for this program. All participants who successfully complete the program get a certificate from the University of Texas at Austin.

What is meant by “mentored learning sessions”?

Mentored learning sessions connect you directly with industry experts and practitioners in AI, Machine Learning, and Deep Learning through live virtual sessions. You will participate in small-group, weekend sessions to explore the practical application of concepts while obtaining industry context and solving challenging topics.

Will the content be available after the program is completed?

Yes, all learning materials—including lecture notes, online content, and supporting resources—will be available through the online platform for one year following the completion of the program.

How will I be evaluated during the program?

You will be evaluated through assessments, quizzes, attendance, and projects. All these methods allow tracking your progress towards achieving desired learning outcomes.

What are some of the key case studies covered in this program?

The program covers key case studies from industries like financial services, healthcare, retail, and e-commerce. Led by AI practitioners, these case studies explore real-world applications of AI. Learners gain practical insights into how AI is implemented to solve challenges across various sectors.

Will I receive a transcript or grade sheet after completion of the program?

No, the PGP-AIFL is an online professional certificate program offered by the McCombs School of Business at The University of Texas at Austin. As it is not a degree or full-time program, transcripts or grade sheets are not issued by the university. However, you will receive marks for each assessment to gauge your understanding and for each module to determine your eligibility for the certificate.

Upon successful completion of the program, including meeting all eligibility criteria, you will be awarded a certificate of completion by the McCombs School of Business at The University of Texas at Austin.

What is the required weekly time commitment?

Each week, the program requires approximately 2-3 hours of recorded lectures and a 2-hour live virtual class or industry mentor session on weekends, including hands-on practical applications and problem-solving. The program consists of 1 hour every week for practicing assessments and exercises. Depending on your background, you should dedicate 2 to 4 hours weekly to self-study and practice. You would need to commit approximately 8-10 hours per week to this program.

Admissions & Eligibility

What is the eligibility for the program?

The PGP-AIFL is a hands-on program designed for senior professionals. Applicants should have a Bachelor's degree with a minimum of 50% aggregate marks or equivalent. The curriculum of the program is tailored for leaders aspiring to gain sufficient AI comprehension for informed decision-making. You should be able to understand and express yourself well in both written and spoken English to fully benefit from the program.

What is the admission process?

Admissions close once the required number of participants enroll. Apply early to secure your spot.

1. Fill out the application form
Apply by filling out a simple online application form.

2. Interview Process
Participate in a screening call with Great Learning to assess your program fit.

3. Join the program
Selected candidates will receive an offer letter. Secure your seat by paying the admission fee.

How can I apply for this program?

You can complete the online application form if you are interested in the program. For any help or support regarding the application process, please contact aifl.utaustin@mygreatlearning.com.

Fee & Payment

What are my payment options?

Candidates can pay the course fee through Bank Transfer orCredit/Debit Cards. There are also installment plans available. For further details, please get in touch with us at aifl.utaustin@mygreatlearning.com

What is the refund policy?

1) A full refund will be issued only if the cancellation request is made within 48 hours of enrollment.

2) Admission Fee – The admission fee is non-refundable if cancellation is requested after 48 hours of enrollment.

3) For fees paid in addition to the admission fee:

Refund or dropout requests made more than 4 weeks before the commencement date are eligible for a full refund of the amount paid in addition to the admission fee.
Refund or dropout requests made more than 2 weeks before the commencement date are eligible for a 75% refund of the amount paid in addition to the admission fee.
Refund or dropout requests made more than 24 hours before the commencement date are eligible for a 50% refund of the amount paid in addition to the admission fee.

4) Requests received after the commencement date are not eligible for a refund.

5) Cancellation requests must be submitted in writing to the program office.