🎉Celebrate Republic Day with a Skill Boost! Get up to 30% OFF on all In-House Courses 🎁 Limited Seats Available!⏳< Enroll now! 🚀

IIT-Backed Courses

Advanced Program in Applied Data Analytics & Generative AI

Online · 6 Months · Designed & Delivered by E&ICT Academy, IIT Roorkee

The Advanced Program in Applied Data Analytics & Generative AI by E&ICT Academy, IIT Roorkee is a fully online, mentor-guided course for students, beginners, and working professionals. It teaches you how to understand data, solve real business problems, and use important analytics and AI tools. By the end, you learn practical skills to study data, find patterns, make better decisions, and help businesses grow in today’s data-driven world.

Blended With Data Visualization, Business Analytics, Generative AI & Agentic AI

4.8 out of 5 based on 3800+ votes

google 4.7/5

facebook 4.8/5

just dial 4.7/5

Academic Partners

academic-partner1
E&ICT Academy
IIT Roorkee
academic-partner1
E&ICT Academy
IIT Guwahati
academic-partner1
E&ICT Academy
IIT Kanpur
academic-partner1
NIT Patna
academic-partner1
RFRF Foundation
academic-partner1
IIT Jodhpur
academic-partner1
IIT Bhilai
academic-partner1
ABES College
academic-partner1
MSIT College
academic-partner1
ASTU Guwahati
academic-partner1
IPEC College
academic-partner1
IITM Janakpuri

Applied Data Analytics and Generative AI Course USPs

100% Placement Support

20+ Live Capstone Projects

2 Months Internship

Taught by IIT Faculty

No Coding Experience Required

Scholarship Upto 30%

150+ Hours Online Training

1:1 Live Doubt Session

Advanced Program in Applied Data Analytics & Generative AI Course Overview

This IIT Roorkee course offers in-depth knowledge of Applied Data Analytics, Machine Learning, and Generative AI. You'll learn to analyze data, apply machine learning algorithms, and build AI solutions through a mix of theory and hands-on projects, preparing you for the future tech landscape.

Industry-oriented, hands-on curriculum empowering you with in-demand analytics and generative AI skills for real-world impact.

Master core analytics, data science, and generative AI principles; develop technical, ethical, and business-ready application skills.

You'll gain hands-on skills in data analysis, visualization, predictive modeling, generative AI architectures, Python programming, and modern AI workflows used in business and industry.

Receive a professional certification in Applied Data Analytics & Generative AI, validating your advanced skillset in the field.

After completing this Applied Data Analytics & Generative AI program, you can pursue roles such as:

  • Data Analyst
  • Generative AI Developer
  • Business Intelligence Analyst
  • Machine Learning Engineer
  • Data Scientist
  • AI/ML Specialist
  • Data Engineer
  • AI Solutions Architect
  • NLP Engineer

These roles are highly sought-after in industries like finance, healthcare, technology, and enterprises worldwide.

Entry-level Data Analysts and Generative AI Developers in India usually earn ₹5–12 lakhs per year, with an average of ₹8.5 lakhs for those with under years of experience.
Senior roles in Analytics, Machine Learning, or GenAI can earn ₹40 lakhs to over ₹1 crore annually, based on skills and leadership level. AI and Data Engineers generally earn ₹6–24 lakhs per year, and top experts can earn even more in global companies.

Industry projects, capstone experience, and up-to-date skills in analytics and generative AI set this program apart from others.

Book Your Slot

Advanced Generative AI Leadership Program Curriculum

Module 01
  • Overview of Data Analytics
  • Overview of Artificial Intelligence
  • Traditional AI vs. Generative AI
  • Evolution of AI models (Rule-Based → ML → DL → Generative AI)
  • Industry Use Cases
Module 02
  • Python Basics
  • Intro to Git & Github and Kaggle
  • Python NumPy & Pandas
  • SQL For Data Analytics
  • Data Analysis with Excel
  • Business Analytics
  • Data Visualization
  • Tableau for Business Intelligence
  • Visual Storytelling using Power BI
Module 03
  • Fundamentals of Algebra 
    • Vectors, Matrices, Eigenvalues & Eigenvectors
    • Dot Product, Matrix Operations, Applications in AI
  • Probability & Statistics
    • Descriptive Statistics (Mean, Median, Mode, Variance, Standard Deviation)
    • Probability Distributions: Normal, Bernoulli, Binomial
    • Central Limit Theorem
  • Fundamentals of Calculus
Module 04

Introduction to Generative AI

  • What is Generative AI? Evolution from Rule-Based AI to GenAI
  • Differences: Generative AI vs. Traditional AI
  • Industry Applications:
    • Content Creation (Chatbots, Story Writing, Blogging)
    • Code Generation (AI-Assisted Programming)
    • Image & Video Synthesis (DALL·E, MidJourney, DeepSeek Vision)

Prompt Engineering & Optimization

  • Fundamentals of Prompt Engineering
    • Zero-shot, Few-shot, Chain-of-Thought (CoT) Prompting
    • Role-based Prompts, Multi-turn Conversations
  • Advanced Prompting Techniques
    • System vs. User Prompts, Style Transfer, Iterative Prompting
Module 05

Encoder-Decoder Architectures & Attention Mechanism

  • Understanding Sequence-to-Sequence (Seq2Seq) Models
  • Introduction to Attention Mechanisms
    • Self-Attention & Cross-Attention
    • Scaled Dot-Product Attention & Multi-Head Attention
  • Transformers & Evolution
    • Introduction to Transformers
    • Positional Encoding & Feed-Forward Networks

Foundation of Generative Models

  • Types of Generative Models
    • Variational Autoencoders (VAEs)
    • Generative Adversarial Networks (GANs) – StyleGAN, CycleGAN
    • Transformer-Based Models (GPT, BERT, T5)
  • Understanding AI Hallucinations, Bias, and Model Safety
    • Variational Autoencoders (VAEs)
    • Generative Adversarial Networks (GANs) – StyleGAN, CycleGAN
    • Transformer-Based Models (GPT, BERT, T5)

Large Language Models (LLMs) & Fine-Tuning

  • Popular LLMs: GPT-4, DeepSeek, LLaMA, Mistral, Claude, Falcon
  • Fine-Tuning vs. Pre-training of LLMs
    • Transfer Learning for LLMs
    • Customizing LLMs for Domain-Specific Use Cases
Module 06

Retrieval-Augmented Generation (RAG)

  • Why RAG? Understanding LLM Limitations
  • RAG Pipeline Components:
    • Document Embeddings & Vector Databases (Pinecone, ChromaDB)
    • Query Processing & Context Retrieval

Foundation of Generative Models

  • Implementing RAG with Hugging Face & LangChain
  • What is LlamaIndex?
  • Using LlamaIndex for Efficient Document Retrieval

Multimodal AI – Text, Image, Video & Speech Processing

  • Text-to-Image & Image-to-Image Generation
    • How DALL·E, MidJourney, and Stable Diffusion Work
    • Latent Diffusion Models (LDMs) & Hugging Face Implementations
  • Speech-to-Text & AI Voice Processing
    • Whisper, Wav2Vec, DeepSeek-STT, Real-Time Speech Transcription
  • Advanced Multimodal Models
    • OpenAI GPT-4V, Gemini
    • Text-to-Image, Image Captioning
Module 07

Agentic AI & Autonomous AI Agents

  • What is Agentic AI?
    • Understanding Autonomous AI Systems
  • AI Agent Frameworks:
    • LangChain, AutoGPT, Hugging Face Agents
    • Building AI Agents for Research, Trading, and Business Automation

Hugging Face Ecosystem

  • Hugging Face Models, Spaces, and Transformers
  • Fine-Tuning LLMs & Custom AI Deployments
  • Enterprise Use Cases
    • AI Chatbots, Code Generation, AI for Research

Real-Time Generative AI in Business Applications

  • Generative AI in Healthcare
    • AI-Powered Drug Discovery, Medical Imaging
  • AI in Finance
    • Synthetic Data for Risk Modeling & Fraud Detection
  • Automating Business Processes with AI
Module 08

Ethics, AI Governance & Future Trends

  • Responsible AI & AI Governance
    • EU AI Act, OpenAI’s AI Policy
  • The Future of Generative AI
    • AI-Powered Autonomous Systems
    • Trends in AGI (Artificial General Intelligence)
Module 09
  • Introduction to Machine Learning
  • Regression
  • Supervised Classification
  • Unsupervised Learning
  • Dimension Reduction
  • Association Rules Mining
  • Recommendation System
  • Time-series Forecasting
  • Machine Learning Model Deployment
play icon
course-overview-icon1
arrow
Highest CTC

42 LPA

course-overview-icon1

15+ Tools We Will Cover

Discover and Master 15+ Powerful Tools That Will Transform Your Workflow, Enhance Productivity, and Elevate Your Skills to the Next Level!

feature-card
feature-card
feature-card
feature-card
feature-card
feature-card
feature-card
feature-card
feature-card
feature-card
feature-card
feature-card
feature-card
feature-card
feature-card
feature-card

Skills You Will Master

Learn cutting-edge skills and future-proof your career.

Prompt Engineering
Machine Learning
Artificial Intelligence
Large Language Model
Generative Adversarial Network
Data Visualization
Data Manipulation
Data Analysis
Applied Statistics
Deep Learning
Natural Language Processing
Computer Vision

Why You Should Choose Generative AI Course Now?

The surge in adoption of Generative AI is happening in organizations across every industry, and the generative AI market is projected to grow by 27.02% in the next 10 years

Jobs & Skills

Millions of New Data & AI Jobs

The World Economic Forum projects 78 Million net new jobs by 2030, with data analysts and AI specialists among the fastest‑growing roles.

Report by-
AI Adoption & Productivity

AI Is Transforming Analytics

McKinsey reports that 78% of organizations now use AI, and AI‑skilled workers command a 56% wage premium according to PwC.

Report by-
What do you get from this program

Unrivaled Offerings & Value Of This Program

Live Interaction Sessions icon

Live Interaction Sessions

Lively interaction with industry experts, students will develop problem-solving abilities.

Hands-on Projects

Work on real-world industry projects to apply your skills practically and build a portfolio to showcase your expertise to employers.

Prestigious Certification

Advanced Data Science and Machine Learning certification from E&ICT Academy, IIT Roorkee and Industrial Training Certificate for hands-on experience.

Placement Support

Career assistance with resume building, interview preparation, and placement opportunities with this data science certification course.

Nurture Your Skillset Icon

Nurture Your Skillset

With a well-defined advanced certification program, the students will be able to nurture their skillset by making complex things easier to perceive.

Get Noticed By Top Hiring Companies

With the advanced certification program, students will get hired by top companies for their skills and analytical approach. Outcome-centric placement options to increase the rate of employability.

Lifelong Access to Resources

Access to study materials, recorded lectures, and updated resources even after data science course completion.

Flexible Learning Icon

Flexible Learning

Online mode allows you to learn at your own pace. Access recorded sessions and study materials anytime, anywhere.

Career Opportunities: What Can You Become?

After completing the Data Analytics & Generative AI course, you can explore the following career paths:

Generative AI Engineer

Data Analyst

Business Analyst

GenAI Data Analyst

Business Intelligence (BI) Specialist

Analytics Consultant

Data Visualization Expert

Marketing / Product Analyst

Generative Design Specialist

Generative AI Trainer

Gen AI Prompt Engineer

Gen AI Maintenance Engineer

Gen AI Personality Designer

Gen AI Input and Output Manager

Who Should Do This Program?

This program helps anyone learn and grow in data science and artificial intelligence, no matter their background.

Freshers
Entrepreneurs
Graduates/
Post Graduates / PhD
DS/ML/AI Enthusiasts
Working Professionals
Tech Innovators
core-usp-bg core-usp-bg

Faculties & Industry Experts Of This Program

Kaushlendra Sisodia

Kaushlendra Sisodia

Director at Uniconverge Technologies
IIT Kanpur Alumnus

iit patna logo
Prof. Gaurav Trivedi

Mr. Sanjay Agarwal

Data Science & ML Expert | BHU Alumni
The IoT Academy

iot logo
Ashwani Kumar

Ashwani Kumar

Senior AI Expert | 20+ Years
University of Miami

miami logo
Prof. Sumit Kalra

Prof. Sumit Kalra

Dept. of Computer Science & Engineering
IIT Jodhpur

iit patna logo

Live Industry Projects

Industry projects are a part of online data science machine learning training. Such projects will ensure exposure to real-world experience for starting a career in DS, ML & AI.

Text-to-Image Generation

Text-to-Image Generation

Combine the power of NLP and CV to generate realistic images from textual desciptions, such as creating visual prototypes for design concepts or generating fictional landscapes.

Interactive Chatbot for Healthcare

Interactive Chatbot for Healthcare

Build a conversational agent using GPT-based LLMs that assists users with healthcare queues, such as symptom checks or medication reminders.

Voice Cloning and Audio Synthesis

Voice Cloning and Audio Synthesis

Develop a model to synthe size human-like speech or clone specific voices using generative models like WaveNet or Tacotron.

Smart Surveillance System Using Generative Models

Smart Surveillance System Using Generative Models

Detect and track anomalies or objects in video footage using gener ative models for data augmentation and anomaly detection.

Climate Impact Analysis

Climate Impact Analysis

Use generative AI to analyze and visualize the effects of climate change through image and text data synthesis. Diffusion Models, GANs, TensorFlow, PyTorch. Learn to work with multi-modal data and generate insights using generative AI.

Analyze Sales Dataset with Pivot Tables & Charts

Analyze Sales Dataset with Pivot Tables & Charts

Summarize and visualize sales data to discover insights like trends, category-wise performance, and regional sales using Excel’s Pivot Tables and charts. MicrosoftExcel, Pivot Tables, Pivot Charts.

Customer Purchase Analysis with SQL

Customer Purchase Analysis with SQL

Query sales and customer databases to investigate purchasing patterns, loyalty, and segmentation using relational SQL analyses.

Customer Segmentation Analysis

Customer Segmentation Analysis

You will use machine learning to group customers based on their details and buying behaviour. This helps companies offer better and personalized services.

Smart Surveillance System Using Generative Models

Autonomous Marketing Campaign AI Agent

To build an AI agent that autonomously plans, runs, and optimizes marketing campaigns using real-time data.

Smart Surveillance System Using Generative Models

Explainable GenAI Financial Copilot (RAG-Based)

To develop a GenAI financial copilot that delivers explainable insights using RAG-based enterprise data retrieval.

Smart Surveillance System Using Generative Models

Agentic AI Hiring & Interview Automation System

To create an AI-driven system that automates candidate screening, interviews, and hiring decisions.

Smart Surveillance System Using Generative Models

Autonomous AI Influencer & Content Creation Agent

To build an AI agent that autonomously creates, schedules, and optimizes influencer-style content across digital platforms.

core-usp-bg core-usp-bg

Dedicated Career Services

By The IoT Academy

Dedicated Career Services

By The IoT Academy

2-Month Guaranteed Internship

Get a sure 2-month internship with our partner companies. It helps you use what you learn in class in real work and understand how companies operate.

Hands-on Industry Experience

Work on real industry projects to build confidence, improve skills, and make your portfolio strong for placements.

Corporate Partners

Advanced Generative AI Certification Course

Upon completing this Data Analytics & Gen AI Course, you will earn an Advanced Certification in Applied Data Analytics & Generative AI Certification Course co-branded by the E&ICT Academy, IIT Roorkee. These certificates validate your expertise in Data Analytics & Generative AI, giving you the credentials to enhance your career prospects and make you stand out to potential employers.

Globally Recognized Certification

Complete Career Support

Credibility and Validation

certificate
internship certificate

Why Learners Choose Us Over the Rest?

Program Perks
Live Learning
For Real-Time Experience and Classroom Feel
Other Institution
Online Flexible Learning
1:1 Live Doubt Session
Weekend Classes
Taught by IIT Faculty
Recorded Lectures Lifetime Access
Applied Industry Projects
Live Capstone Projects
Resume & Interview Preparation
2 Month Industrial-Internship
Industry Partner's Alumni Network Access

Campus Immersion Program At E&ICT Academy, IIT Roorkee

Campus Immersion Program At E&ICT Academy, IIT Roorkee

Designed to bridge theoretical knowledge with practical application, this program offers immersive learning with hands-on training, interactive sessions with E&ICT Academy, IIT Roorkee faculty, and exposure to contemporary analytics and generative AI practices.

Hands-on Training

You will learn by doing practical activities and workshops. IIT Roorkee teachers and industry experts will guide you to build strong skills in data analytics, machine learning, and generative AI.

Interactive Lectures

You can join live classes where teachers explain topics in a simple way. They use real examples to help you understand analytics and advanced generative AI concepts easily.

Laboratory Sessions

You will work with real industry tools, datasets, and cloud platforms. This helps you practice building complete analytics and generative AI solutions like real projects.

Networking Opportunities

You can meet other learners, E&ICT Academy, IIT Roorkee faculty, and experts during live sessions and discussions. This helps you grow your professional network and find future opportunities.

Data Science, Machine Learning & AI Course Fee Structure

₹ 70,000 + 18% GST
One Time EMI

Applied Data Analytics & Generative AI Program

Bulk Corporate Enrollment Pricing. Enroll before 06 March 2026 to avail additional 10% early bird discount.
Avail Scholarship
Up To 30%
What's Included in the Fee
  • 140+ Hours of Instructor Led Live Training
  • Certification from E&ICT Academy, IIT Roorkee
  • Learn From IIT Professors and the Industry Experts
  • Access to Course Materials and Resources
  • Hands-on Projects and Case Studies
  • 100% Placement Support By Dedicated Team*
Additional Benefits
  • Lifetime Access to Live Recorded Sessions
  • Complimentary Career Guidance or Resume-building
  • Three Months Internship Experience By Industry Partners
  • 1:1 Doubt Resolution In Live Sessions
Financial Partner
Candidates can pay the course fee through Netbanking and credit/Debit cards. Also, with our corporate financial partnerships avail education loans at 0% interest rate*
Razorpay Razorpay
Refer

Refer your colleagues, friends, or family and earn an exclusive extra discount on your program fees.

Admission Process

The admission process consists of four simple steps. An offer of admission will be made to the selected candidates and accepted by the candidates upon payment of the admission fee.

01

Online Application Form

Apply by filling a simple online application form You will be required to provide personal, educational, and professional details. Once we receive your details, our Admission Head will reach out to take your candidature further.

02

Screening Process

Manual Review of application by Admission Director's office who will gauge your passion and eligibility for the program.

03

Scholarship & Offer Letter

Apply for the scholarship (not mandatory) and take the test. An offer letter will be rolled out to the selected candidates.

04

Admission & Batch Allotment

Complete the admission and make a quick block payment formality with assistance from our loan partners, you will be given course credentials and your learning journey will begin!

Upcoming Application Deadline

Our admissions close once the requisite number of participants enroll for the upcoming batch. Apply early to secure your seats.

Last
Date

06 March 2026

Our Past Success Stories

Over the years, many of our students have transformed their careers and secured high-paying roles with top companies.

Rajesh Kumar Sharma
(4.7)

The curriculum structure is quite comprehensive, covering everything from basic data analytics to advanced generative AI topics. The hands-on projects helped me understand practical applications better. However, I felt that some of the live sessions could have been better paced, a few topics were rushed through. The instructors bring good theoretical knowledge, and the placement support is a genuine plus. Would recommend, especially if you're transitioning into data analytics.

Priya Desai
(4.7)

Excellent program! Coming from a non-IT background, I was initially apprehensive about the Python and SQL modules. But the instructors are patient and the self-paced materials are well-structured. The capstone project was particularly insightful, I got to work on a real-world dataset. The certificate from IIT Roorkee adds credibility to my resume. Overall, a solid investment for career growth.

Amit Patel
(4.7)

The content is solid, and I learned a lot about data visualization tools like Tableau and Power BI. But the course pace was a bit slower than I expected, especially in the first few months. The lab access was helpful, and the projects were interesting. My main concern is that the job placement assistance could be more proactive. If you're self-motivated and willing to put in effort, you'll benefit; otherwise, you might feel slightly lost.

Neha Singh
(4.7)

I completed this program while working full-time, and the flexibility was much appreciated. The instructors are knowledgeable, and the quality of teaching is excellent compared to other online programs I've seen. The generative AI modules were particularly relevant and up-to-date. One thing I'd mention is that the doubt-clearing sessions could be more frequent, especially during project work. Still, an overall good experience.

Vikram Gupta
(4.7)

The program taught me industry-ready skills like ETL, Python scripting, and data modeling. The projects are practical and align well with current industry demands. The community support through the forum was helpful when I had questions. I'd say the fee is reasonable for what you get. One minor issue: some instructors moved faster than others, creating inconsistency in learning pace. But the overall quality of content is undeniable

Ananya Chatterjee
(4.7)

This course exceeded my expectations. The blend of theoretical concepts and hands-on application is perfect. I particularly appreciated how they integrated generative AI into the curriculum, it felt modern and relevant. The campus immersion at IIT Roorkee (3 days) was an incredible experience; I got to network with peers and industry professionals. The placement team actively helped with resume reviews and interview preparation. Highly satisfied with my decision to enroll.

Sanjay Rathod
(4.7)

The program covers a lot of ground, which is both good and bad. Good because you get exposure to many tools and concepts. Bad because sometimes it feels like you're just skimming the surface. The projects are well-designed, but I would've preferred more depth in certain modules like advanced machine learning. The certificate is valuable, though. It's a decent program for someone looking to switch careers, but if you're already experienced in data, you might find parts of it basic.

Deepika Verma
(4.7)

I was impressed by the quality of live instructor-led sessions and the relevance of the curriculum to current market trends. The generative AI modules introduced me to ChatGPT and prompt engineering, which are increasingly important skills. However, I felt the course could benefit from more industry guest lectures to provide different perspectives. The placement assistance is decent but not exceptional. Worth doing if you're serious about building a career in data analytics.

Rohan Kapoor
(4.7)

A well-structured program with clear learning objectives. I appreciated the mix of live classes and self-paced content, it allowed me to balance with my current job. The projects were challenging but doable, and they really helped solidify my understanding of concepts. The only drawback is that the community forum could be more active, and sometimes you have to wait for query responses. But overall, it's a credible course that genuinely adds value to your skillset. The certification tag definitely helps

Testimonials From Our Students

YouTube Video Placeholder
YouTube Video Placeholder
YouTube Video Placeholder

Still Have A Questions?

Can’t find the answer to your question? Contact us we’ll get back to you as soon as possible!

Frequently Ask Question?
For Data Analytics & Generative AI

This is a comprehensive program combining data analytics, machine learning, and generative AI. Designed by E&ICT Academy, IIT Roorkee, it prepares learners for AI-driven careers through hands-on projects and expert guidance.

Fresh graduates, working professionals, data analysts, software engineers, and anyone interested in upskilling in data analytics and generative AI can enroll. Basic technical knowledge is helpful but not mandatory.

The curriculum covers Python, statistics, machine learning, deep learning, LLMs, RAG, multimodal AI, and agentic AI. Tools include TensorFlow, PyTorch, SQL, Tableau, and modern generative AI platforms for comprehensive learning.

Unlike standalone GenAI courses, this program integrates applied data analytics with generative AI. It covers end-to-end workflows from data preparation to AI deployment, making you versatile across analytics and AI roles

Classes are primarily live instructor-led sessions with recordings available. The learning management system provides self-paced materials, allowing you to revisit concepts, complete assignments, and balance work with studies effectively.

Basic mathematics and programming knowledge is recommended but not mandatory. The program starts with fundamentals and progresses gradually, making it suitable for motivated beginners and intermediate learners seeking AI careers.

Yes, upon successful completion of all requirements and the capstone project, you receive a co-branded certificate from E&ICT Academy IIT Roorkee, which is highly respected and recognized by employers.

You'll work on industry-oriented projects including data analytics pipelines, predictive modeling, chatbot development, LLM applications, RAG systems, and image generation. The capstone project showcases your end-to-end problem-solving skills comprehensively.

Yes, all projects use real-world datasets and industry problem statements. This ensures you gain practical experience that directly applies to workplace scenarios, preparing you for actual analytics and AI challenges effectively.

Yes, experienced mentors provide guidance throughout project execution. They conduct code reviews, offer feedback, clarify doubts, and help you refine your solutions, ensuring you learn industry best practices and standards.

You can pursue roles like Data Analyst, Generative AI Engineer, Data Scientist, BI Analyst, and AI Specialist. These positions are in high demand across IT, finance, healthcare, e-commerce, and consulting sectors.

Yes, the program offers career support, including resume building, LinkedIn optimization, mock interviews, and job placement assistance. You'll connect with hiring partners actively seeking analytics and AI professionals for various roles.

Yes, international learners can enroll if they meet technical and language requirements. They must be able to attend live sessions in the scheduled time zone and have stable internet connectivity for effective participation.

The program fee is competitively priced with no-cost EMI and flexible installment plans available. Limited-time scholarships and early-bird discounts are offered. Contact the admissions team for specific pricing and current offers.

Still Have A Questions?

Can’t find the answer to your question? Contact us we’ll get back to you as soon as possible!