MBA Artificial Intelligence- Course, Syllabus, Eligibility and Fees 

MBA Artificial Intelligence- Course, Syllabus, Eligibility and Fees 

The world is witnessing a paradigm shift driven by Artificial Intelligence (AI). Its impact extends beyond technical advancements and is rapidly transforming various industries, including business. To navigate this evolving landscape, professionals are increasingly seeking specialised education to bridge the gap between business acumen and AI expertise. The MBA AI program emerges as a strategic solution, offering a unique blend of business management principles and in-depth knowledge of AI applications.  

Let us know more about the course,syllabus,eligibility criteria and syllabus in this article.  

What is an MBA in Artificial Intelligence Course?  

An MBA in Artificial Intelligence is a postgraduate program that combines business administration principles with expertise in artificial intelligence. It equips students with the knowledge and skills to lead and manage AI initiatives within organisations. This program is ideal for individuals with a bachelor’s degree who are interested in pursuing careers in the field of AI, particularly those looking to apply AI in a business context. It can benefit professionals from various backgrounds, including business, technology, and engineering.  

MBA in Artificial Intelligence Syllabus 

Listed below is the MBA AI Syllabus of Amrita AHEAD:- 

Semester 1	Semester 2
Business Communications	Operations Management
Managerial Economics-Micro and Macro	Technology Transformation for Business
Organisational Behaviour	Human Resource Management
Accounting for Managers	Financial Cost Management
Marketing Management	Consumer Behaviour
Business Statistics	Business Analytics
Education for Life-1	Education for Life – 2

  

Semester 3	Semester 4
Strategic Management	Entrepreneurship and Innovation
International Business	CSR and Sustainability
Legal Aspects and Business Ethics	Education for Life – 4
Education for Life – 3	Elective 4
Elective 1	Elective 5
Elective 2	Elective 6
Elective 3	Elective 7
	Project

 

MBA in Artificial Intelligence Eligibility criteria 

Here is the MBA AI rlrigibility criteria of the Amrita AHEAD Online MBA AI program. 

• Minimum of 50% marks in UG. 
• Must have passed 10 + 2 
• Must have completed an undergraduate degree(minimum 3 years) 
• Students in their final year can apply , work experience will have an added advantage for admissions. 

MBA Artificial Intlliegence Fee structure  

The fees can vary considerably depending on the institution, location, and program duration. In India, the average fee range can be between ₹3 lakhs and ₹6.5 lakhs per year. Listed below are the fees for the Amrita AHEAD MBA in AI course 

• Fee per semester is ₹ 60,000  
• Zero cost emi starting from ₹ 10000  
• Scholarships available for eligible candidates 

Career Opportunities after MBA AI  

Graduates with an MBA in AI possess a unique skillset, making them highly sought-after candidates for various exciting careers, such as:  

• AI Product Manager: Develop and manage AI-powered products that cater to specific market needs. Average Salary in India: ₹ 15,00,000 – ₹ 25,00,000  
• AI Marketing Manager: Design and implement data-driven marketing strategies utilising AI tools for targeted advertising and customer engagement. Average Salary in India: ₹ 12,00,000 – ₹ 20,00,000 per year  
• Business Analyst – AI: Analyse and translate complex business needs into actionable AI strategies, bridging the gap between business and technical teams. Average Salary in India: ₹ 10,00,000 – ₹ 18,00,000 per year 
• AI Consultant: Advise companies on integrating AI into their operations, ensuring optimal utilisation and maximising the return on investment. Average Salary in India: ₹ 18,00,000 – ₹ 30,00,000 per year 
• Chief Data Officer (CDO): Lead data and AI initiatives within an organisation, overseeing data governance, strategy development, and implementation. Average Salary in India: ₹ 30,00,000 – ₹ 50,00,000 per year  

What are the career paths beyond traditional business roles for an MBA in AI graduate?  

The unique skills developed through an MBA in AI program opens doors to diverse career paths and career opportunities beyond traditional business roles. Potential options include:  

• AI ethics and policy: Advocate for responsible and ethical development and implementation of AI within organisations and society.  
• AI entrepreneurship: Leverage your knowledge to launch AI-powered startups or ventures.  
• AI research and development: Contribute to the advancement of AI technology through research and development roles.  
• AI in non-profit and social impact sectors: Apply AI expertise to address social challenges and create positive societal impact.  

What are the future trends in the field of AI and business?  

The integration of AI into various business aspects is expected to continue accelerating. Some potential future trends include:  

• Increased automation of tasks: AI will likely automate many routine and repetitive tasks, freeing up human resources to focus on higher-level cognitive tasks.  
• Hyper-personalization: Businesses will leverage AI to personalise customer experiences with greater precision and effectiveness.  
• Emergence of new business models: AI will drive the creation of entirely new business models and redefine existing ones across diverse industries.  

By understanding the potential and implications of these trends, graduates with an MBA in AI can position themselves for success in this dynamic and evolving landscape.  

Conclusion  

The rise of Artificial Intelligence (AI) is transforming the business landscape at an unprecedented pace. As businesses seek to leverage AI’s capabilities for growth and innovation, the demand for professionals with both business acumen and AI expertise is soaring. In this context, the MBA in AI program emerges as a strategic investment, equipping individuals with the knowledge, skills, and critical thinking necessary to thrive in this exciting new era.  

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