Application Deadline - 30ᵗʰ May 2025

Application Deadline - 30ᵗʰ May 2025

Program Overview

Program Overview

Curriculum

Curriculum

How To Apply

How To Apply

✦ July 2025 Intake Applications Open! ✦

✦ July 2025 Intake Applications Open! ✦

International Master’s (MS) -
Artificial Intelligence in Business

International
Master’s (MS) -
Artificial Intelligence in Business

6 Months in India.
12 Months in the U.S.

6 Months in India.
12 Months in the U.S.

✦ Jointly Offered By ✦

✦ Jointly Offered By ✦

A Step-by-Step International Master’s Program for Working Professionals and Recent Graduates Who Want a Beginner-to-Advanced Understanding of AI and Business — and Are Ready to Launch Their Career in the U.S. in Just 18 Months.

Artificial Intelligence

Artificial Intelligence

Data Analytics

Data Analytics

Machine Learning

AI in Business

AI in Business

Arizona State University (ASU) is the world’s first university to collaborate with OpenAI, the creators of ChatGPT.

Application Link

Application Link

Please Note
Admissions are strictly limited to the first 25 eligible students from India who apply before 30ᵗʰ May 2025.

Please Note
Admissions are strictly limited to the first 25 eligible students from India who apply before 30ᵗʰ May 2025.

Start in India → Graduate in America

Start in India → Graduate in America

Here's How It Works

Here's How It Works

The Reality of Learning and Implementing AI in Life and Work -

For most graduates and professionals, studying and implementing AI feels confusing:

  • Where do you even start with AI?

  • Courses are either too technical, too theoretical, or too long.

  • There's no clear path to apply AI in real business roles.

  • Balancing work, study, and career goals all at once leaves you with more questions than answers.

This program offers a solution with a clear, step-by-step approach:

  • 6 months in India to learn the fundamentals of AI — from beginner to advanced.

  • 12 months in the U.S. implementing AI in real business scenarios.

  • No prior tech experience required.

  • A structured path to build the skills needed to launch your career in the U.S. in just 18 months.

The Reality of Learning and Implementing AI in Life and Work -

For most graduates and professionals, studying and implementing AI feels confusing:

  • Where do you even start with AI?

  • Courses are either too technical, too theoretical, or too long.

  • There's no clear path to apply AI in real business roles.

  • Balancing work, study, and career goals all at once leaves you with more questions than answers.

This program offers a solution with a clear, step-by-step approach:

  • 6 months in India to learn the fundamentals of AI — from beginner to advanced.

  • 12 months in the U.S. implementing AI in real business scenarios.

  • No prior tech experience required.

  • A structured path to build the skills needed to launch your career in the U.S.

Step 1 — Start Online (6 Months with Shiv Nadar University, Delhi-NCR)

You begin at Shiv Nadar University (SNU) in Delhi-NCR — recognized by the Government of India as an “Institution of Eminence.” During this phase, you’ll study the Arizona State University (ASU) U.S. curriculum online, with classes held over the weekends — making it ideal for working professionals and recent graduates.

You build a strong foundation in AI, business strategies, data analysis, and real-world applications.

You're also fully trained for the U.S. visa interview — with everything from documentation to mock rounds handled end-to-end.

By the end of 6 months, you're ready — academically, personally, and with your visa approved — to move to the U.S. for the final 12 months.

Step 2 — Transfer to the U.S. (12 Months at ASU)

Step 2 — Transfer to the U.S. (12 Months at ASU)

For the next 12 months, you move to Arizona State University (ASU) — ranked #2 in the U.S. for employability among public universities*.

You build expertise in artificial intelligence for business, machine learning, data analytics, AI strategy, and deep learning applications in business.

Alongside academics, you’ll receive structured career training — from building a strong resume and portfolio to preparing for interviews and internships. These 12 months equip you with the skills and confidence to graduate ready — and take the next step: working in the U.S. through OPT (Optional Practical Training), a work authorization valid for up to 3 years.

*As per the Global Employability University Ranking and Survey, 2025.

Step 3 — Graduate Ready to Work in the U.S.

Step 3 — Graduate Ready to Work in the U.S.

You finish your Master’s (MS) in Artificial Intelligence in Business, a STEM-designated program, making you eligible to work in the U.S. with ASU's top recruiters like Amazon, American Express, Apple, Intel, Microsoft, Deloitte, Goldman Sachs, Oracle, EY-Parthenon, and KPMG, via OPT work authorization.

Save Up to 50% by Starting in India and Get Time to Plan Your Finances

Save Up to 50% by Starting in India and Get Time to Plan Your Finances

Since the first six months are based in India, your tuition and living costs are up to 50% lower compared to a fully residential program in the U.S.

This gives you more time to plan, save, and manage your expenses step by step.

Education Loan Support for the First 25 Students

Education Loan Support for the First 25 Students

If you're among the first 25 students to apply, you can get a no-collateral education loan that covers up to 100% of college fees and on-campus student housing (hostel).

You won’t have to fund everything upfront—giving you time to plan.

Please Note
Admissions are strictly limited to the first 25 eligible students from India who apply before 30ᵗʰ May 2025.

Please Note

Admissions are strictly limited to the first 25 eligible students from India who apply before 30ᵗʰ May 2025.

Application Link

Application Link

Program Duration: 18 Months

Program Duration: 18 Months

Application Deadline: 30ᵗʰ May 2025

Application Deadline: 30ᵗʰ May 2025

Batch Size: 25 Students

Batch Size: 25 Students

Location: 6 Months Online with Shiv Nadar University (Delhi-NCR), followed by 12 Months On-Campus at Arizona State University (U.S.)

Location: 6 Months Online with Shiv Nadar University (Delhi-NCR), followed by 12 Months On-Campus at Arizona State University (U.S.)

Curriculum Includes: AI and Data Analytics Strategy, Machine Learning in Business, Enterprise Data Analytics, and More.

Curriculum Includes: AI and Data Analytics Strategy, Machine Learning in Business, Enterprise Data Analytics, and More.

Program Start Date: Mid-July 2025

Program Start Date: Mid-July 2025

A Curriculum Designed for Tomorrow:

A Curriculum Designed for Tomorrow:

Here’s What You’ll Learn —

Here’s What You’ll Learn —

AI in Business

This course explores modern artificial intelligence (AI) technologies, applications, and techniques, along with their implications for business. You’ll examine how AI impacts people, processes, and technology within organizations, and how it drives innovation and competition in the business world. The course also covers the role of information systems professionals in managing AI infrastructure, including robots, algorithms, and platforms, shaping the future of industries and society.

This course explores modern artificial intelligence (AI) technologies, applications, and techniques, along with their implications for business. You’ll examine how AI impacts people, processes, and technology within organizations, and how it drives innovation and competition in the business world. The course also covers the role of information systems professionals in managing AI infrastructure, including robots, algorithms, and platforms, shaping the future of industries and society.

Enterprise Data Analytics

This course explores the foundational concepts of contextualized analytics within the business enterprise continuum. You’ll learn how data flows and is managed across the landscape of enterprise business processes, equipping you with the skills to analyze and optimize data-driven decision-making within organizations. The course also covers how enterprise data analytics influences strategy, performance, and innovation across industries.

This course explores the foundational concepts of contextualized analytics within the business enterprise continuum. You’ll learn how data flows and is managed across the landscape of enterprise business processes, equipping you with the skills to analyze and optimize data-driven decision-making within organizations. The course also covers how enterprise data analytics influences strategy, performance, and innovation across industries.

Machine Learning in Business

This course charts a roadmap for data-driven decision-making, providing a practical understanding of how IT tools and techniques enable managers to extract predictive analytics and patterns from primarily numeric data. You’ll explore how machine learning can be applied in business to enhance decision-making, optimize processes, and drive growth. The course also covers key concepts and methodologies in machine learning that empower businesses to leverage data for competitive advantage.

This course charts a roadmap for data-driven decision-making, providing a practical understanding of how IT tools and techniques enable managers to extract predictive analytics and patterns from primarily numeric data. You’ll explore how machine learning can be applied in business to enhance decision-making, optimize processes, and drive growth. The course also covers key concepts and methodologies in machine learning that empower businesses to leverage data for competitive advantage.

AI and Data Analytics

Strategy

This course delves into deep learning applications, which have become integral to various industries over the last decade. You’ll explore how deep learning models are transforming sectors such as retail, automotive, healthcare, banking, insurance, agriculture, and more. The course provides a hands-on look at the latest models, trends, and challenges, while also examining strategies for implementing deep learning applications in businesses.

This course delves into deep learning applications, which have become integral to various industries over the last decade. You’ll explore how deep learning models are transforming sectors such as retail, automotive, healthcare, banking, insurance, agriculture, and more. The course provides a hands-on look at the latest models, trends, and challenges, while also examining strategies for implementing deep learning applications in businesses.

Transforming Business
with AI

This course integrates technical expertise, business acumen, and ethical considerations to solve real-world business challenges. Working in teams, you’ll design an AI-driven transformation project that addresses a specific business problem while demonstrating mindfulness and ethical considerations. Throughout the semester-long project, you will navigate the complexities of managing and deploying AI solutions in business settings.

This course integrates technical expertise, business acumen, and ethical considerations to solve real-world business challenges. Working in teams, you’ll design an AI-driven transformation project that addresses a specific business problem while demonstrating mindfulness and ethical considerations. Throughout the semester-long project, you will navigate the complexities of managing and deploying AI solutions in business settings.

Programming for AI and Data Analytics in Business

This course provides a foundation in programming fundamentals, equipping you with the skills to combine and manipulate both structured and unstructured data. You’ll learn how to summarize, visualize, and draw insights from data, enabling you to apply these techniques in AI and data analytics for business. This course may be waived with demonstrated Python proficiency.

This course provides a foundation in programming fundamentals, equipping you with the skills to combine and manipulate both structured and unstructured data. You’ll learn how to summarize, visualize, and draw insights from data, enabling you to apply these techniques in AI and data analytics for business. This course may be waived with demonstrated Python proficiency.

Why ASU?
Real-World Skills

Why ASU?
Real-World Skills

At ASU, learning means action. Through hands-on projects and collaborative problem-solving, you’ll graduate with practical skills, ready to lead in the fast-evolving world of AI.

At ASU, learning means action. Through hands-on projects and collaborative problem-solving, you’ll graduate with practical skills, ready to lead in the fast-evolving world of AI.

How to Apply

How to Apply

Here’s how to get started — one step at a time.

Join the July 2025 cohort and take the first step toward a career that lasts.

Join the July 2025 cohort and take the first step toward a career that lasts.

STEP 1 - Reach Out

STEP 1 - Reach Out

  • Click the button below and fill out your contact details to start the process.

  • Click the button below and fill out your contact details to start the process.

STEP 2 - Introductory Interview

STEP 2 - Introductory Interview

  • An evaluator will connect with you to schedule a short call. You’ll learn more about the program, and we’ll learn more about your background.

  • An evaluator will connect with you to schedule a short call. You’ll learn more about the program, and we’ll learn more about your background.

Step 3 – Submit Your Application and Profile

Step 3 – Submit Your Application and Profile

  • Send us your application and profile for a full review by our admissions committee. We’ll assess your academic background and overall fit for the program.

  • Send us your application and profile for a full review by our admissions committee. We’ll assess your academic background and overall fit for the program.

STEP 4 - Receive Your Offer Letter

STEP 4 - Receive Your Offer Letter

  • If shortlisted, you’ll receive your offer letter to join the program. Only 25 students will be selected, reviewed and admitted on a first-come, first-reviewed basis.

  • If shortlisted, you’ll receive your offer letter to join the program. Only 25 students will be selected, reviewed and admitted on a first-come, first-reviewed basis.

Application Link

Application Link

Application Requirements

Application Requirements

Review the prerequisites and required documents below to ensure your application is complete and ready for review.

Eligibility Criteria and Required Documents

Eligibility Criteria and Required Documents

Bachelor’s Degree Academic Requirement

  • Minimum GPA of 3.00 (scale is 4.00 = "A") in the last 60 credit hours of the first bachelor's degree program, or applicants must have a minimum cumulative GPA of 3.00 (scale is 4.00 = "A") in the last 12 units of the post baccalaureate transcript.

English Proficiency Requirement

  • (TOEFL> 90 iBT, IELTS> 7.0, Pearson Test of English>64, Duolingo>115), or a passing score in the English for Graduate Admission online course through ASU Global Launch.

Launch Your Career with
Practical, Industry-Focused Skills

Launch Your Career with Practical, Industry-Focused Skills

Graduates of the W. P. Carey School of Business at Arizona State University land roles at some of the world’s top companies.*

Amazon - American Express - Facebook - Google, Inc. - Intel Corporation
Microsoft - PayPal - PepsiCo - United Airlines - Oracle - eBay - Wells Fargo
+ Many more world-renowned Fortune 500 companies

*Employment and salary figures obtained from the W. P. Carey School of Business at Arizona State University, 2023–2024 Annual Report.

Graduates step into high-demand roles in software, systems, infrastructure, and emerging tech — where problem-solving and real-world application matter most. These roles span industries like tech, aerospace, healthcare, finance, and manufacturing — offering strong salaries, career growth, and the chance to work on problems that shape the future.

Data and Analytics

Data and Analytics

Data Scientist

Use advanced analytics and machine learning to uncover insights and solve complex problems.

Use advanced analytics and machine learning to uncover insights and solve complex problems.

Data Analyst

Interpret data to provide actionable business insights.

Interpret data to provide actionable business insights.

Machine Learning Engineer

Develop algorithms that allow machines to learn and make decisions autonomously.

Develop algorithms that allow machines to learn and make decisions autonomously.

Business and Management

Business and Management

IT Consultant

Advise organizations on technology solutions to improve business performance.

Advise organizations on technology solutions to improve business performance.

Product Manager

Lead the development of tech products, ensuring alignment with business goals.

Lead the development of tech products, ensuring alignment with business goals.

Project Manager

Oversee software projects to ensure timely and successful delivery.

Oversee software projects to ensure timely and successful delivery.

Emerging Tech Roles

Emerging Tech Roles

AI / ML Developer

Build intelligent systems to support AI-driven decision-making.

Build intelligent systems to support AI-driven decision-making.

Blockchain Developer

Create decentralized applications and systems using blockchain technology.

Create decentralized applications and systems using blockchain technology.

Cloud Architect

Design and manage scalable cloud infrastructure for businesses.

Design and manage scalable cloud infrastructure for businesses.

According to the data from the Occupational Information Network (O*NET), sponsored by the U.S. Department of Labor:

Business Analyst: 9.7% growth, $95,290 median salary

Business Intelligence Analyst: 35.2% growth, $103,500 median salary

Computer Systems Analyst: 9.6% growth, $102,240 median salary

Data Analyst: -1.7% growth, $48,880 median salary

Data Scientist: 35.2% growth, $103,500 median salary

IT Project Manager: 9.7% growth, $98,740 median salary

Information Security Analyst: 31.5% growth, $112,000 median salary

IT Manager: 15.4% growth, $164,070 median salary

Operations Research Analyst: 22.5% growth, $85,720 median salary

According to the data from the Occupational Information Network (O*NET), sponsored by the U.S. Department of Labor:

Business Analyst:
9.7% growth, $95,290 median salary

Business Intelligence Analyst:
35.2% growth, $103,500 median salary

Computer Systems Analyst:
9.6% growth, $102,240 median salary

Data Analyst:
-1.7% growth, $48,880 median salary

Data Scientist:
35.2% growth, $103,500 median salary

IT Project Manager:
9.7% growth, $98,740 median salary

Information Security Analyst:
31.5% growth, $112,000 median salary

IT Manager:
15.4% growth, $164,070 median salary

Operations Research Analyst:
22.5% growth, $85,720 median salary

Graduates of the W. P. Carey School of Business at Arizona State University land roles at some of the world’s top companies.*

Amazon - American Express - Facebook - Google, Inc. - Intel Corporation
Microsoft - PayPal - PepsiCo - United Airlines - Oracle - eBay - Wells Fargo
+ Many more world-renowned Fortune 500 companies

*Employment and salary figures obtained from the W. P. Carey School of Business at Arizona State University, 2023–2024 Annual Report.

Graduates step into high-demand roles in software, systems, infrastructure, and emerging tech — where problem-solving and real-world application matter most. These roles span industries like tech, aerospace, healthcare, finance, and manufacturing — offering strong salaries, career growth, and the chance to work on problems that shape the future.

Graduates step into high-demand roles in software, systems, infrastructure, and emerging tech — where problem-solving and real-world application matter most.

These roles span industries like tech, aerospace, healthcare, finance, and manufacturing — offering strong salaries, career growth, and the chance to work on problems that shape the future.

About Shiv Nadar University (SNU) and
Arizona State University (ASU)

About
Shiv Nadar University (SNU) and
Arizona State University (ASU)

Start in India → Finish in America.

6 Months at

6 Months at

Shiv Nadar
University

Shiv Nadar University

Shiv Nadar University (SNU), founded in 2011 by Mr. Shiv Nadar, the visionary founder of HCL Group, a $13.3 billion global company with over 227,000 professionals across 60 countries, is a leading institution recognized as an Institution of Eminence by the Government of India. Known for its commitment to innovation and academic excellence, Shiv Nadar University is the youngest university to achieve this prestigious status.

Shiv Nadar University (SNU), founded in 2011 by Mr. Shiv Nadar, the visionary founder of HCL Group, a $13.3 billion global company with over 227,000 professionals across 60 countries, is a leading institution recognized as an Institution of Eminence by the Government of India. Known for its commitment to innovation and academic excellence, Shiv Nadar University is the youngest university to achieve this prestigious status.

#7 Top Institutions to Study in India

Ranked #7, Shiv Nadar University stands alongside top institutions like IISc Bangalore, the IITs (Madras, Delhi, Kharagpur, Kanpur, and Bombay), and other leading private universities in India.

Ranked #7, Shiv Nadar University stands alongside top institutions like IISc Bangalore, the IITs (Madras, Delhi, Kharagpur, Kanpur, and Bombay), and other leading private universities in India.

Careers360, 2024 Ranking of Top Institutions to Study in India

National Institutional Ranking Framework (NIRF)

Youngest university to be ranked among the top 100 of NIRF, 7 years in a row (2018–2024).

Youngest university to be ranked among the top 100 of NIRF, 7 years in a row (2018–2024).

Recognized as an Institution of Eminence

One of only four private universities in the country to be designated as an Institution of Eminence by the Government of India.

One of only four private universities in the country to be designated as an Institution of Eminence by the Government of India.

12 Months at

12 Months at

Arizona State University

Arizona State University

Arizona State University (ASU), recognized as the most innovative university in the U.S. by U.S. News & World Report, is a global leader in research, sustainability, and impact. Consistently ranked among the top universities, ASU is where students learn from Nobel laureates, engage in cutting-edge research, and tackle the world’s most pressing challenges. With 83 programs ranked among the top 25 in the nation, ASU is a hub for innovation, entrepreneurship, and driving economic development.

Arizona State University (ASU), recognized as the most innovative university in the U.S. by U.S. News & World Report, is a global leader in research, sustainability, and impact. Consistently ranked among the top universities, ASU is where students learn from Nobel laureates, engage in cutting-edge research, and tackle the world’s most pressing challenges. With 83 programs ranked among the top 25 in the nation, ASU is a hub for innovation, entrepreneurship, and driving economic development.

Top 10

Top 10

Worldwide Among Universities Granted U.S. Patents.*

*As per U.S. National Academy of Inventors, 2023.

#1

#1

University for Innovation, Sustainability, and Global Impact.*

*As per U.S. News and World Report, 9 Years, 2016-24.

#1

#1

Public University, Chosen by International Students.*

*As per Institute of International Education, 2023.

#2

#2

in the U.S. for Employability Among Public Universities.*

*As per Global Employability University Ranking and Survey, 2024.

142,000+

142,000+

Undergraduate Students

800+

800+

Degree Programs

5,400+

5,400+

Faculty Members

620,000+

620,000+

Alumni Network

Shiv Nadar Institution of Eminence Gautam Buddha Nagar - 201314 Uttar Pradesh.

Shiv Nadar Institution of Eminence Gautam Buddha Nagar - 201314 Uttar Pradesh.

©Shiv Nadar Institution of Eminence 2025. All Rights Reserved.

©Shiv Nadar Institution of Eminence 2025. All Rights Reserved.

Arizona State University 1151 S Forest Ave Tempe, AZ 85281.

Arizona State University 1151 S Forest Ave Tempe, AZ 85281.

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