Online MBA in Artificial Intelligence And Machine Learning (Dual)
Artificial Intelligence (AI) as well as Machine Learning (ML) are changing the world of business, from finance and healthcare to manufacturing and retail. The pace of change is increasing, and institutions across the globe are currently integrating AI as well as ML into MBA courses, creating new generations of executives who are able to take data-driven decision making and apply AI solutions on an executive degree.
MBA programs that offer a focus in AI as well as ML combine business knowledge along with technical expertise, offering professionals the tools they require to be a leader in technological innovation in the age of digital.
What are the benefits of an MBA in Artificial Intelligence and Machine Learning?
- Strategic Advantage: AI and Machine Learning are no longer a niche skill. Businesses are seeking specialists with the ability to not just comprehend these techniques, but also use their knowledge effectively. A MBA in AI/ML can equip the student with both.
- Cross-Disciplinary Understanding: You'll develop skills in the areas of business strategy Data science, business strategy, automatization, and ethics. This program bridges the gap between technology and business.
- Leadership Opportunities: As the world moves towards digital transformation, businesses are searching for leaders who are AI-savvy to lead their efforts. This MBA will prepare you to be a Chief AI Officer as well as Chief of Data Strategy, or Innovation Lead.
- Future-proofing Your Career: In the midst of AI continues to influence how we work. Being knowledgeable in the field is an asset to all industries.
Does the Online MBA in Artificial Intelligence and Machine Learning Have Value?
Absolutely. MBA online programs from respected institutions are highly regarded and accepted in the business, particularly in cases where they offer:
- Accreditation (AACSB, AMBA, EQUIS)
- Relevant Curriculum for Industry Updated with current AI and ML applications
- Expert faculty members and mentors from industry
- Capstone projects as well as internships which demonstrate a practical understanding
The online formats offer flexible learning options for professionals in the workplace but without sacrificing high-quality. Employers are more and more valuing their abilities and skills over the method of education.
Explore Opportunities for Career Advancement
The graduates of the MBA in AI as well as ML can take on high-impact jobs including:
- AI Product Manager
- Director of Business Intelligence
- Data Strategy Consultant
- Machine Learning Operations (MLOps) Lead
- Technology Innovation Manager
- Digital Transformation Leader
- Chief Data Officer, AI Director
Companies hiring AI/ML MBA students are:
- Finance & Banking
- Healthcare
- E-commerce and Retail
- Manufacturing
- Supply Chain & Supply Chain
- Government & Defense
- EdTech and HealthTech startup companies
Get a high Salary
People who have the right mix of AI/ML capabilities and business planning can earn much higher pay over the traditional MBA graduates. On average:
- AI Product Managers: $120,000 - $160,000+
- Data Science Leads with MBA 130,000-$180,000
- Chief AI/Data Officers: $200,000+
These figures can differ based on area, the industry, and size of the company, but the pattern is obvious: MBA + AI is a highly lucrative and rewarding career pathway.
Admission Procedure Of Online
It is 2 years postgraduate degree that can be done by anyone who completed an undergraduate degree from any recognized college or university. Getting admission is a smooth process just you need to choose a college. Any individual with 55% aggregate marks in bachelor's can apply for it.
Admission Procedure
Eligibility
BBA / B.Tech / B. sc / BA / B.Com
Duration
Min 2 — Max 4 years
Approvals
UGC, AICTE, NAAC
Procedure to Take Admission in the Online MBA in Artificial Intelligence And Machine Learning (Dual)
Course Outline
This course will include business planning and entrepreneurship, fundamentals, and advanced business management It is designed in such a way that you can gain a wholesome idea of business administration and growth. And in the last semester, you may need to take practical exposure through internships and projects.
Semester 1
- Management Concepts and Theories
- Organizational Behaviour
- Management Accounting
- Statistics for Management
- Managerial Economics
- Managerial Communication
- Business Government and Society
Semester 2
- Marketing Management
- Human Resource Management
- Corporate Finance
- Quantitative Methods
- Legal aspects of Business
- Operations Management
- Management Information Systems
Semester 3
- Project Management
- Entrepreneurship and Small Business
- Consumer Behaviour and Marketing Research
- Portfolio Management
- Organizational Change and Development
- Business Familiarization Report
- ------
Semester 4
- Strategic Management
- Product and Brand Management
- International Financial Management
- Strategic Human Resource Management
- International Marketing
- Electronic Commerce
- Project Work
Other Online MBA Course Specializations
- MBA in General
- MBA in Banking and Finance
- MBA in Business Analytics
- MBA in Business Intelligence and Analytics
- MBA in Business Management
- MBA in Data Science and Analytics
- MBA in Digital Marketing Management
- MBA in Enterpreneurship and Leadership
- MBA in Finance and Leadership
- MBA in Finance Management
- MBA in General Management
- MBA in Healthcare Management
- MBA in Hospitality Management
- MBA in HR Management
- MBA in HRM and Finance Management
- MBA in Information and Technology Management
- MBA in International Business Management
- MBA in International Finance
- MBA in Leadership and Strategy
- MBA in Logistic and Supply Chain
- MBA in Marketing and Finance Management
- MBA in Marketing and HR Management
- MBA in Advertising and Branding
- MBA in AI and Machine Learning
- MBA in Banking Financial Service Insurance
- MBA in Event Management
- MBA in Information Technology
- MBA in Marketing
- MBA in Computer Science & IT
- MBA in Cyber Security
- MBA in Data Science & AI
- MBA in Digital Business
- MBA in Digital Marketing
- MBA in Disaster Management
- MBA in Entrepreneurship & Business Management
- MBA in Event & Media Management
- MBA in Finance & Accounting
- MBA in Healthcare & Hospital Management
- MBA in Infrastructure Management
- MBA in Banking and Insurance
- MBA in Blockchain Management
- MBA in Business Intelligence & AI
- MBA in Digital Entrepreneurship
- MBA in Financial Market Management
- MBA in Fintech Management
- MBA in Hospital Administration
- MBA in HR and Analytics
- MBA in International Marketing Management
- MBA in International Trade Management
- MBA in Investment Banking and Equity Research Management
- MBA in IT and Fintech
- MBA in Oil and Gas Management
- MBA in Power Management
- MBA in Retail Management
- MBA in Sports Management
- MBA in Strategic and HR Management
- MBA in Strategic and Finance Management
- MBA in Strategic Marketing
- MBA in Tourism Management
- MBA in Waste Management
- Operation Management
- MBA in Project Management
- MBA in System and Operation Management
- MBA in Artificial Intelligence
- MBA in Data Science
- MBA in Entrepreneurship
- MBA in Agri Business Management
- MBA in International Finance & Accounting
- MBA in International Trade Business
- MBA in JAMC
- MBA in Operation & Supply Chain
- MBA in Organizational Behaviour
- MBA in Pharma & Healthcare Management
- MBA in Public Policy & Administration
- MBA in Supply Chain Management
- MBA in System Management
- MBA in Travel & Tourism Management
- MBA in Wealth Management
How to Choose the Right University?
Doing MBA from a renowned university is impactful from a career perspective. Before you go for admission in online you must be aware of the right place to apply. Consider these points while looking for a college or university
Differences Between Online MBA and Regular MBA Programs
Both Online MBA and Regular MBA programs aim to equip students with advanced business management skills, but they differ significantly in terms of structure, delivery, flexibility, networking opportunities, and overall experience. Here’s a detailed comparison:
Online MBA
- Delivered primarily online through virtual classrooms, recorded lectures, and digital course materials.
- Learning is often self-paced with occasional live sessions.
Regular MBA
- Delivered through in-person classes at a physical campus.
- Involves face-to-face interactions with professors and peers.
Career Opportunities
After completing this course, you can be hired as a Data Science, Machine Learning Engineer, Data Engineer and Engineer, etc. You can work in management firms or with start-ups there is a vast pool of opportunities after this degree.
Business Intelligence Developer
Analyst
AI Consultant
AI Entrepreneurship
AI Research Scientist
Robotics
Data Analysis
Research Scientist
Data Mining
Sr. Data Engineer - AI/ML Etl
AI Marketing Manager
Computational Linguist
MBA Artificial Intelligence And Machine Learning (Dual) FAQ
Technical proficiency in AI and machine learning is combined with advanced business management in an online MBA program in Artificial Intelligence and Machine Learning (Dual). Digital transformation, AI technology, machine learning algorithms, data analytics, and strategic AI deployment are some of the subjects covered in the curriculum. You will gain knowledge about machine learning models, how to leverage data for business insights, how to manage AI projects, and how to incorporate AI solutions into organisational strategies.
Generally, applicants must have a bachelor's degree from an accredited university in any field. Although not required, a background in engineering, computer science, or technology is advantageous. In addition, certain programs could give preference to applicants with prior work experience in technology-related industries and take admission exam results like CAT, MAT, or GMAT into account. It is advisable to confirm specific qualifying requirements with the university delivering the program, as they may differ between institutions.
Introduction to Artificial Intelligence, Machine Learning Techniques, Data Science and Analytics, AI in Business Strategy, Digital Transformation, Advanced Machine Learning, and Ethical Issues in AI are typical examples of the courses offered in the curriculum. These courses give students a thorough understanding of how to use AI and machine learning technology to address business issues and spur creativity.
Graduates can work as business intelligence analysts, technology strategists, data scientists, machine learning engineers, AI consultants, and project managers. The curriculum equips you for leadership positions involving overseeing AI projects, putting machine learning solutions into practice, and using data to spur innovation and corporate expansion.
