
NO. OF UNIVERSITIES
1
ELIGIBILITY
GRADUATE
DURATION
2 - 4 YEARS
Online MBA in Artificial Intelligence & Machine Learning
An Online MBA in Artificial Intelligence & Machine Learning is a specialized graduate program that combines business management principles with in-depth knowledge of AI and ML technologies. This program is designed to equip professionals with the skills needed to lead and make strategic decisions in organizations leveraging advanced data analytics and machine learning techniques.
BENEFITS OF PURSUING ONLINE MBA IN ARTIFICIAL INTELLIGENCE (AI) & MACHINE LEARNING (ML)
Pursuing an online MBA in Artificial Intelligence (AI) and Machine Learning (ML) can offer several benefits:
• In-Demand Skills: AI and ML are among the most sought-after skills in today's job market. This program equips students with expertise in these cutting-edge technologies, making them highly valuable to employers.
• Career Advancement: Graduates can pursue high-level positions in various industries, such as technology, finance, healthcare, and more. Potential roles include AI Strategist, ML Engineer, Data Scientist, and AI Product Manager.
• Flexibility: An online format allows professionals to continue working while studying, providing the flexibility to balance work, study, and personal life.
• Cost-Effective: Online programs often have lower tuition fees compared to traditional on-campus programs, and students save on commuting and relocation costs.
• Innovation and Entrepreneurship: The program fosters innovation and entrepreneurial thinking, empowering graduates to develop new AI and ML solutions or start their own ventures in the tech industry.
• Interdisciplinary Knowledge: Combining AI and ML with business management provides a holistic understanding of how these technologies can be strategically implemented in various business contexts.
• Technological Proficiency: Students gain hands-on experience with AI and ML tools, algorithms, and software, enhancing their technical skills.
• Adaptability: The program prepares students to adapt to the rapidly evolving landscape of AI and ML, ensuring they remain relevant in a constantly changing technological environment.
Overall, an online dual MBA in AI and ML can provide a strong foundation for a successful career in the rapidly growing field of artificial intelligence and machine learning, offering both flexibility and a comprehensive skill set

ONLINE MBA ELIGIBILITY
Individuals who have successfully completed their undergraduate degree in any field are eligible to apply for an Online MBA program. Admission requirements may vary among universities. Some institutions require aspirants to pass entrance exams, while others offer direct admissions based on their eligibility criteria.
An online MBA has a broad eligibility scope, making it accessible to a diverse range of students. Prospective candidates must hold a bachelor's degree with a minimum aggregate of 45% to 50% from a recognized university.
WHO SHOULD DO AN ONLINE MBA IN ARTIFICIAL INTELLIGENCE (AI) & MACHINE LEARNING (ML)
An online MBA in Artificial Intelligence (AI) & Machine Learning (ML) can be a great fit for various individuals, including:
- Tech Professionals: Those working in the technology sector who want to deepen their understanding of AI and ML and move into leadership roles in tech companies or AI/ML departments.
- Data Scientists: Data scientists who wish to gain business acumen and leadership skills to advance their careers and take on managerial roles in AI and ML projects.
- IT Managers: IT managers looking to enhance their expertise in AI and ML to drive innovation and improve efficiency in their organizations.
- Consultants: Consultants who advise clients on digital transformation and want to specialize in AI and ML to provide more strategic and informed guidance.
- Entrepreneurs: Entrepreneurs or aspiring entrepreneurs interested in leveraging AI and ML technologies to innovate and create competitive advantages in their businesses.
- Engineers: Engineers, especially those in software or computer engineering, who want to transition into the AI and ML field and require a strong foundation in both technology and business.
- Business Analysts: Analysts who work at the intersection of business and technology and want to specialize in AI and ML to enhance their analytical capabilities and career prospects.
- Product Managers: Product managers in tech companies who want to better understand AI and ML technologies to effectively manage and innovate AI-driven products.
- Working Professionals: Those who cannot commit to a full-time, on-campus program due to work commitments but want to advance their education and career prospects in AI and ML.
- Innovators: Individuals passionate about the potential of AI and ML to transform industries and who want to be at the forefront of this technological revolution.
Overall, an online MBA in AI & ML is well-suited for professionals seeking to combine technical expertise with business leadership skills in the rapidly evolving field of artificial intelligence and machine learning.
ONLINE MBA DURATION
Online MBA offers a minimum completion time of 2 years and allows a maximum of 4 years for candidates to fulfill all the degree requirements. This extended timeframe provides an additional 2 years for successfully passing all the required exams. The program's curriculum is structured into four semesters of six months each.
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Most Common Job Opportunities
AI/Machine Learning Product Manager: | AI Strategist/Consultant: | Chief Technology Officer (CTO): : |
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Professionals in this role oversee the development and launch of AI and ML products. They work closely with cross-functional teams, set product strategy, and ensure alignment with business goals. | AI strategists or consultants provide guidance to organizations on how to integrate AI and ML technologies to improve efficiency, enhance decision-making, and gain a competitive edge. They may work independently or as part of consulting firms. | CTOs are top-level executives responsible for the technological direction of a company. Those with expertise in AI and ML can play a crucial role in shaping the organization's overall technology strategy. |
Data Science Manager/Director: | AI Solutions Architect: | Business Intelligence Manager: |
Professionals in this role lead data science teams, overseeing the development and implementation of ML algorithms and models. They collaborate with business stakeholders to ensure that data-driven insights align with organizational objectives. | Solutions architects design and implement AI and ML solutions that address specific business challenges. They work to integrate these solutions into existing systems and processes. | Individuals in this role leverage AI and ML techniques to analyze large datasets and provide actionable insights to support strategic decision-making within an organization. |
AI/Machine Learning Engineer: | Innovation Manager: | Digital Transformation Manager: |
AI and ML engineers design, develop, and implement machine learning models and algorithms. They may work on projects related to natural language processing, computer vision, or predictive analytics. | Innovation managers with a focus on AI and ML drive initiatives that explore and implement cutting-edge technologies to enhance products, services, or internal processes within an organization. | Professionals in this role lead initiatives to digitally transform businesses, incorporating AI and ML technologies to optimize operations, improve customer experiences, and drive innovation. |
ONLINE MBA SPECIALIZATIONS
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ONLINE DUAL MBA
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Let's Clear Up Some Doubts
MBA in AI & ML
Yes, Degrees obtained through Online or Distance mode are valid provided approval is given by the UGC-DEB to the University/Deemed to be University to offer the said programme. Details of the Universities/ Deemed to be Universities empowered to offer courses under Online/distance mode are available at UGC website https://deb.ugc.ac.in/.
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Yes, UGC via its notification dated 02-09-2022 has clearly mentioned that any degree received via Online or Distance mode is equivalent to the degrees offered through regular mode. The link for the same is
. Accordingly, we can be sure that a MBA done via Online or Distance mode is as good as a regular MBA
The Accreditations or Approvals required by Indian Universities to start Online and distance learning programmes are: -
• University Grants Commission (UGC) Approval: Indian universities, whether traditional or open, need to obtain approval from the UGC to offer online courses. The UGC had issued specific regulations for open and distance learning, which also apply to online education. These regulations specified the norms and standards that institutions had to adhere to while offering online programs.
• Compliance with Distance Education Regulations: In addition to UGC regulations, universities offering online programs also had to comply with the Distance Education Bureau (DEB) regulations, which governed open and distance learning programs.
• Approval from AICTE: The AICTE primarily focuses on technical education, including engineering, management, pharmacy or applied sciences and Indian Universities specifically do not require AICTE approval to start online courses. Its role is to regulate and promote technical education in India. These regulations are mainly applied to traditional universities and institutions that offer online or distance education programs.
• Quality Assurance: Indian universities are required to maintain the quality and standards of education in online programs. This often involves regular assessment and accreditation by bodies like the National Board of Accreditation (NBA) or the National Assessment and Accreditation Council (NAAC).
• Rankings: The National Institutional Ranking Framework (NIRF) is a ranking system for higher education institutions in India. It was launched by the Ministry of Education in 2015 to assess and rank Indian universities and colleges based on various parameters. NIRF rankings aim to provide prospective students and other stakeholders with valuable information about the quality and performance of educational institutions
Online education can include live lectures through video conferencing or webinars, but it depends on the specific course or program. Some online courses offer live, interactive sessions with instructors, while others are entirely self-paced with pre-recorded content. The format can vary, so it's important to check the course details to determine whether live lectures are part of the online education experience.
Tuition fees can vary significantly among universities. Depending on your choice of institution, the approximate annual tuition fees can range from INR 50,000 to INR 4,00,000.
After completing an MBA in Artificial Intelligence (AI) & Machine Learning (ML), you can pursue leadership roles at the intersection of business and technology. This includes positions such as AI/Machine Learning Manager, Chief Technology Officer (CTO), or Strategy Consultant, where you leverage your business acumen and technological expertise to drive innovation, implement AI solutions, and contribute to the strategic growth of organizations. Additionally, you may explore entrepreneurial ventures focused on AI/ML applications or join technology-driven companies in various industries.
The salary package for MBA graduates specializing in Artificial Intelligence (AI) & Machine Learning (ML) is competitive and varies based on factors such as experience, employer, and location. On average, entry-level positions in AI and ML management roles may offer a starting salary ranging from INR 8 to 15 lakhs per annum. With experience and expertise, mid-career professionals can earn salaries ranging from INR 15 to 25 lakhs, and senior-level executives or leaders with significant experience may command packages exceeding INR 25 lakhs.
The scope of an online MBA in Artificial Intelligence (AI) & Machine Learning (ML) is expansive and promising. As businesses increasingly leverage AI and ML technologies, there is a growing demand for professionals who can bridge the gap between technical expertise and strategic business leadership. This specialized MBA equips graduates with the skills to navigate the rapidly evolving landscape of AI and ML, making them valuable assets in various industries. Graduates can pursue roles such as AI/ML managers, data strategists, or innovation leaders, contributing to organizational success through the effective integration of cutting-edge technologies. The online format adds flexibility, enabling professionals to acquire these skills while balancing work commitments.
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