



An Online MBA in Artificial Intelligence and Machine Learning Management is a two-year postgraduate degree. It brings together business education and practical AI knowledge in one focused programme. The idea is simple — you learn how AI and ML can be used to solve real business problems and make better decisions at work.
One of the more interesting parts of this course is working with simulated datasets. You get to draw actual business insights from data, which changes how you think about information. You also start to understand why data quality matters so much and how it directly shapes business outcomes.
This programme is built for early-career professionals who want to get ahead of the curve. You do not need a technical background to join. The focus is always on the business application of AI, not the programming side of it.
Something interesting is happening in boardrooms across India right now. Leaders who understand data and AI are getting promoted faster than those who do not. Companies want managers who can work with technical teams and translate data findings into real business strategy. This programme prepares you to do exactly that — and do it well.
What makes this MBA different is the combination it offers. You get solid management training alongside modern AI methods. You learn how machine learning tools support business goals, how to evaluate AI solutions before implementing them, and how to lead teams that work across both technical and business functions. That skill set is genuinely rare right now.
The entire programme runs online, which means your career does not have to stop while you study. Recorded lectures are always available, live sessions are scheduled at convenient times, and digital tools make collaboration easy. You keep working, keep earning, and keep growing — all at the same time.
AI strategy, data analytics, and technology governance are moving from nice-to-have skills to essential ones, especially for people in leadership, consulting, and product management roles. Getting this qualification now puts you ahead of most professionals who are still figuring out where AI fits into their work.
This is honestly one of the best things about this programme. You do not need to take a break from your career to pursue it. Whether you manage teams, handle client accounts, or work with operational data every day, this course fits around all of that without creating extra stress.
The programme is designed with working professionals in mind from the very beginning. You study when you have time, apply what you learn at work the next day, and keep moving forward in both your career and your education simultaneously. Very few programmes actually deliver on that promise — this one does.
Online learning through this programme comes with features that genuinely make daily study more practical for busy professionals across India.
Self-paced modules that work around your schedule
Live sessions plus access to all recorded classes
Academic timelines that feel balanced and manageable
Assignments that connect directly to your real work situations
Mid-level managers, consultants, analysts, and technical leads will find real value here. If you want to guide AI adoption projects inside your organisation or move into digital transformation roles, this degree gives you the knowledge and confidence to do that well.
Using data and automation to improve sales performance is something more companies are investing in every year. This degree teaches you how to use analytics for better pricing decisions, smarter marketing strategies, and stronger business development outcomes. That makes you significantly more effective in your current role.
Founders who want to build smarter, more competitive businesses will benefit greatly from what this programme covers.
Graduates from any field who want a technology-focused management career are welcome here. You do not need a coding background at all. This programme gives non-technical graduates a strong and confident starting point for an AI-driven business career.
Discover how artificial intelligence and machine learning - are leveraged in strategy, operations, marketing, finance, and decision-making. All this without the need for extensive programming skills.
It's a Career Game Changer in High-Growth Domains- AI and ML are prolific across sectors. Hence, the specialization is relevant for roles in technology, consulting, analytics, product management, and digital transformation.
Dedicated to Working Professional - Our flexible online format allows you to upskill in some of the most in-demand technologies while continuing to work full time. No need for career breaks.
A Managerial View on AI - It’s all about managing AI-led teams, projects, and business objectives, and not just the technical nitty-gritty.
Picking the right university is very important. It affects both your learning and your future career. Here are a few simple things to check before you decide.
Academic Integrity — Choose universities that focus on real learning. Continuous assessment and self-paced study help you understand better, not just memorize.
Alumni Feedback and Programme History — Talk to past students if possible. Their experience gives honest insights. Older programs often have better industry connections and results.
Cost and Return on Investment — Compare the fees with the benefits. A good program should help you get better jobs, promotions, or business growth.
University Name | Approx. Fees (₹) | Learning Mode |
|---|---|---|
1,40,000–1,89,000 | Online |
The requirements for joining this programme are pretty straightforward. Here is what most universities ask for:
A Bachelor's degree in any discipline from a recognised university
Minimum qualifying marks of around 50%, as set by the institution
Basic English language proficiency
Work experience is preferred but may not be mandatory everywhere
Both fresh graduates and working professionals are welcome to apply. Always verify the specific requirements of your chosen university before you submit your application.
Submit the Online Form - Students fill out and submit the online application form
Registration Process - Application submission and processing fee
Document Submission - Academic documents, personal documents, and work experience details
Document Verification - College verification of documents, mobile number & email ID
Fee Payment - Multiple payment options (one-time, semester-wise, EMI)
Admission Confirmed - Study materials, resources, and online access
Programme fees depend on the university and the support they offer. In India, the total cost is usually between ₹1.5 lakhs and ₹10 lakhs.
Many universities offer scholarships, easy payment plans, and early application discounts. It is always good to check these options before you apply.
Since you can keep working while studying, you continue earning your salary. This makes the course more affordable than a full-time MBA.
Semester 1
Management Principles
Introduction to Data & Analytics
Business Communication
Foundations of AI & Machine Learning
Semester 2
Strategic Management
Machine Learning Applications
Business Data Mining
Ethics and Leadership
Semester 3
Deep Learning Concepts
Natural Language Processing
AI in Business Strategy
Elective Courses
Semester 4
Capstone Project
AI-Driven Product Strategy
Automation and Ethical AI
Industry Project or Internship
Syllabus are updated periodically to align with industry expectations.
Online MBA: Artificial Intelligence and Machine Learning
This option is good for working professionals. You can learn AI and ML while keeping your job. The course uses simple tools like virtual labs and cloud platforms. It helps you grow step by step in your career.
Regular MBA: Artificial Intelligence and Machine Learning
A campus MBA is better if you want a full-time learning experience. You study with other students, meet faculty, and use campus labs. It is a good choice if you want to switch into a tech career.
Both options are good. The right choice depends on your goals and your current situation.
Graduates move into some of the most exciting and well-paid roles available in the current job market. Common career paths include AI Business Analyst, Machine Learning Product Manager, AI Project Lead, Chief Data Officer, and Head of AI Strategy.
Professionals with AI-enabled management skills are in strong demand across international markets. Consulting firms, fintech companies, healthcare organisations, logistics providers, and digital services businesses around the world are actively looking for people with this combination of capabilities.
AI adoption is growing across every major industry and that trend is not slowing down. Professionals who combine business management knowledge with AI awareness stay relevant and adaptable as the technology continues to evolve.
Role | Approx. Salary (INR) |
AI Analyst | ₹7 – 12 LPA |
Machine Learning Engineer | ₹12 – 25 LPA |
AI Strategy Consultant | ₹15 – 35 LPA |
AI Project Manager | ₹18 – 40 LPA |
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Acharya Nagarjuna University • 36 months

Acharya Nagarjuna University • 36 months

Acharya Nagarjuna University • 36 months

Acharya Nagarjuna University • 36 months