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Online Dual MBA in
Artificial Intelligence & Machine Learning Management

An online dual MBA in Artificial Intelligence (AI) and Machine learning (ML) management builds business leadership and AI expertise. This online dual MBA in AI and ML management prepares professionals for strategic, technology-driven leadership roles.

Why Choose an Online Dual MBA in Artificial Intelligence & Machine Learning Management?

The online dual MBA in artificial intelligence & machine learning management is delivered completely online, making it suitable for working professionals who want to upgrade their qualifications without leaving their jobs. This program develops strong foundations in artificial intelligence, machine learning, predictive modelling, automation tools, and data-driven strategic decision-making.

The curriculum focuses on practical business applications of AI and ML across industries. Students learn how to integrate intelligent systems into organizational operations to improve efficiency, productivity, and innovation. Through real-world case studies, industry projects, and applied assignments, learners strengthen their leadership, analytical, and problem-solving abilities. The program prepares graduates to manage AI initiatives confidently and lead digital transformation in competitive, technology-driven business environments.

Flexibility

Access online modules anytime, allowing you to learn comfortably while managing work responsibilities and maintaining steady academic progress.

Work-Study Balance

Continue working full-time while completing this online dual MBA in AI and ML management at your convenience.

Industry-Relevant Skills

Develop practical expertise in AI, machine learning, analytics, and data-driven strategies aligned with current industry demands.

Cutting-Edge Expertise

Gain exposure to modern AI tools, machine learning frameworks, and emerging technologies transforming digital business landscapes.

Recognized Universities

Study with UGC-approved institutions that provide accredited degrees valued across industries and professional sectors.

Networking Opportunities

Connect virtually with classmates, experienced faculty, and industry professionals to expand your professional network.

Career Advancement

Strengthen leadership capabilities for managing AI initiatives and advancing into senior technology-driven management roles.

Entrepreneurial Readiness

Acquire strategic and technical skills needed to build AI-based startups or drive innovation within organizations.

Eligibility & Duration

Online Dual MBA in Artificial Intelligence & Machine Learning Management Eligibility
Candidates must hold a bachelor’s degree following the 10+2+3 education pattern in any discipline from a recognized university or an equivalent qualification approved by the Association of Indian Universities (AIU). A minimum of 50% marks at the graduation level is required, while candidates from SC, ST, OBC, or PwD categories are eligible with 45%.
Online Dual MBA in Artificial Intelligence & Machine Learning Management Duration
The online dual MBA in AI and ML management course can be completed within 2 to 4 years, structured across four six-month semesters, offering flexibility for working professionals and graduates to complete at their own pace. Flexible timelines support both fresh graduates and professionals.

Most Common Job Opportunities

MBA Specialisations

Agri Business Management

Focuses on agricultural supply chains, agribusiness operations, rural marketing, and food industry management.

Artificial Intelligence & Machine Learning Management

Covers AI-driven decision-making, machine learning models, automation, and business intelligence applications.

AI for Business Management

Designed to help managers apply artificial intelligence tools to improve strategy, operations, and decision-making.

AI Marketing Management

Explores the use of AI in customer targeting, digital campaigns, data-driven marketing, and consumer insights.

Dual MBA Specialisations

Analytics & Data Science Management

Combines analytical techniques with data science tools to support data-driven business decisions.

Banking & Financial Services Management

Covers banking operations, financial markets, credit management, and financial regulations.

Banking Finance & Insurance Management

Focuses on banking systems, insurance operations, and integrated financial services.

Business Analytics Management

Combines analytics tools with managerial decision-making for strategic business insights.

Entrepreneurship & Leadership Management

Focuses on building entrepreneurial skills alongside leadership and people management.

Finance & Accounting Management

Covers financial management, accounting principles, auditing, and compliance.

Finance & Marketing Management

Combines financial analysis with marketing strategy and business growth planning.

Financial Services & Financial Planning Management

Focuses on wealth planning, financial advisory, investment strategies, and client management.

Hospital Administration & Healthcare Management

Integrates hospital operations with healthcare service management and policy planning.

HRM (Analytics) Management

Combines human resource management with data analytics for workforce planning.

HRM & Finance Management

Covers human capital management along with financial planning and cost control.

HR & Business Analytics Management

Focuses on applying analytics to HR decision-making and organizational performance.

International Finance & Accounting Management

Covers global accounting standards, international finance, and cross-border compliance.

IT & FinTech Management

Integrates information technology with financial technology applications.

Logistics & Supply Chain Management

Covers end-to-end supply chain operations, logistics planning, and distribution management.

Logistics Material & Supply Chain Management

Focuses on material management, procurement, logistics, and supply chain optimization.

Marketing & Human Resource Management

Combines marketing strategies with people management and organizational development.

Marketing & Business Analytics Management

Focuses on data-driven marketing strategies and performance analysis.

Operations & Supply Chain Management

Covers operations planning alongside supply chain coordination and efficiency.

Operations & Data Science Management

Combines operational decision-making with data science tools and analytics.

Production & Operations Management

Focuses on manufacturing systems, production planning, and operational efficiency.

Supply Chain Production & Management

Integrates production processes with supply chain planning and execution.

Fee Structure for Online Dual MBA in AI & Machine Learning Management

Program Fee: Starting at ₹44,400- 50,000/- per semester

Low Cost EMI Available

The online dual MBA in AI and ML management in India is a cost-effective option compared to traditional on-campus programmes. Learners save on relocation, commuting, and accommodation costs while earning a recognized dual MBA credential. Flexible payment options help working professionals manage finances easily.

Flexible Fee Payment Options Available for Students:

University Offering Online MBA in Artificial Intelligence & Machine learning Management

UniversityFee Structure
DY Patil Vidyapeeth Pune
  • Sem 1-2- ₹50,000/-
  • Sem 3 - ₹45,000/-
  • Sem 4 - ₹44,400/-

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University Form

Frequently Asked Question

IS ONLINE DEGREE VALID?

Yes, degrees obtained through Online or Distance learning modes are valid, provided the University or Deemed-to-be University has received approval from UGC-DEB to offer the respective programme. The official list of Universities and Deemed-to-be Universities authorized to conduct online or distance courses is available on the UGC website at https://deb.ugc.ac.in/.
For further assistance, feel free to contact us.

Yes, according to the UGC notification dated 02-09-2022, degrees earned through Online or Distance mode are considered equivalent to those awarded through regular mode. The official notification can be accessed at https://deb.ugc.ac.in/Uploads/Notices_Upload/UGC_20220906101709_1.pdf. Therefore, an MBA completed through Online or Distance learning holds the same academic recognition and value as a regular MBA.

The following accreditations and approvals should be verified before enrolling in an Online MBA programme:

  • University Grants Commission (UGC) Approval: All Indian universities must obtain UGC approval to offer online programmes. The UGC has established regulations outlining the academic standards and guidelines that institutions must follow while delivering online and distance education.
  • Compliance with Distance Education Regulations: Universities offering online programmes must also adhere to the regulations issued by the Distance Education Bureau (DEB), which governs open and distance learning in India.
  • AICTE Approval: AICTE primarily regulates technical education such as engineering, management, pharmacy, and applied sciences. However, universities are not specifically required to obtain AICTE approval to offer online MBA programmes.
  • Quality Assurance: Institutions are expected to maintain high academic standards through regular evaluation and accreditation by recognized bodies such as NAAC.

Rankings: The National Institutional Ranking Framework (NIRF) evaluates higher education institutions in India based on various parameters, helping prospective students assess the credibility, quality, and overall performance of universities.

Most online dual MBA in AI and ML management programs include live interactive sessions along with recorded lectures. However, formats vary by university. Some programs are fully self-paced, while others combine live webinars, virtual classrooms, assignments, discussion forums, and project-based learning.

The fee structure for an Online Dual MBA in AI & Machine Learning Management differs from one university to another. It generally depends on factors such as the institution’s reputation, curriculum design, faculty expertise, technology platforms used, and additional academic support services. Some universities may also offer flexible payment options or installment facilities. It is advisable to review the complete program details to understand the overall cost and included benefits before enrolling.

After completing an online dual MBA in artificial intelligence and machine learning management, you can pursue roles such as AI/ML Manager, Product Manager, Technology Consultant, Strategy Leader, or Innovation Head. Graduates work at the intersection of business strategy and intelligent technologies, driving digital transformation. You may also launch AI-based entrepreneurial ventures.

Graduates of an Online Dual MBA in AI & ML Management can expect competitive compensation based on their skills, experience, and job role. Entry-level professionals receive attractive starting packages, while experienced candidates and those in managerial or leadership roles earn significantly higher remuneration. Salary growth largely depends on industry demand, technical expertise, organizational profile, and individual performance in AI-driven business environments.

The scope of an online dual MBA in artificial intelligence & machine learning management is rapidly expanding. Organisations across industries seek professionals who combine AI expertise with business leadership. Graduates can work as AI strategists, innovation managers, data leaders, or technology consultants. The online format offers flexibility, allowing professionals to upskill without interrupting their careers while entering high-growth technology-driven sectors.