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MBA- ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (ONLINE)

Duration

2 Years

(2 Sem/year)

Course Fees

INR Starts ₹2,291*p.m

semester

Eligibility

Above 45%

Exam Pattern

online

mic & camera

Learning

onlineLMS

LIVE & Record video

Admission

Open

dec / jul

Course Description MBA- ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (ONLINE)

The Online MBA-Artificial Intelligence & Machine Learning program offers a specialized and flexible approach to obtaining a Master of Business Administration (MBA) degree with a focus on cutting-edge technologies. Tailored for individuals who aspire to combine business acumen with expertise in artificial intelligence (AI) and machine learning (ML), this program allows students to delve into the transformative field of AI and ML while enjoying the convenience of online learning.The curriculum of the Online MBA-Artificial Intelligence & Machine Learning program is strategically designed to provide a comprehensive understanding of business administration principles along with a deep dive into AI and ML applications. Students gain proficiency in leveraging advanced technologies for data-driven decision-making, strategic planning, and innovative business solutions.

The Online MBA-Artificial Intelligence & Machine Learning program is a cutting-edge degree that empowers students with the knowledge and skills needed to navigate the intersection of business and advanced technologies. This program is crafted to equip students with a broad understanding of business principles while specializing in the strategic applications of AI and ML.The curriculum offers a blend of core business courses and specialized AI/ML modules, allowing students to explore topics such as machine learning algorithms, natural language processing, predictive analytics, and ethical considerations in AI. Graduates are prepared to lead businesses into the future by harnessing the transformative power of artificial intelligence and machine learning.

 

Course Highlights

 

Why Choose Online MBA-Artificial Intelligence & Machine Learning:

Several compelling reasons make the Online MBA-Artificial Intelligence & Machine Learning program an excellent choice for individuals seeking a unique and forward-looking business education:

1. Strategic Integration of AI/ML: The program provides a strategic integration of AI and ML concepts within the broader business context. Students learn to leverage advanced technologies for data-driven decision-making, giving them a competitive edge in the business landscape.

2. Innovation and Problem-Solving: With a focus on AI and ML, students develop innovative problem-solving skills. They learn to apply machine learning algorithms to address complex business challenges and discover opportunities for operational excellence.

3. Future-Ready Skills: As businesses increasingly embrace AI and ML, graduates of this program are equipped with skills that are highly relevant and sought after in today's technology-driven business environment.

4. Flexible Learning Environment: The online format provides the flexibility for students to study at their own pace and from anywhere in the world. This is especially beneficial for working professionals or those with other commitments.

5. Expert Faculty: The program is delivered by experienced faculty who are experts in both business administration and artificial intelligence. Students benefit from the guidance and insights of faculty members with a deep understanding of these interdisciplinary subjects.

 

Who Should Apply?

The Online MBA-Artificial Intelligence & Machine Learning program is well-suited for individuals with a specific interest in combining business management expertise with the transformative capabilities of AI and ML. This program is particularly ideal for:

1. Tech Enthusiasts: Individuals with a passion for technology and a keen interest in the applications of artificial intelligence and machine learning in business.

2. Business Professionals Seeking Innovation: Working professionals in business roles who wish to stay ahead of the curve by incorporating AI and ML strategies into their organizations.

3. Entrepreneurs Embracing Technology: Aspiring entrepreneurs looking to build ventures that leverage the power of AI and ML for innovative and disruptive solutions.

4. Data Scientists Expanding Business Acumen: Data scientists seeking to broaden their skill set by gaining a comprehensive understanding of business administration principles.

 

When Should I Pursue an Online MBA-Artificial Intelligence & Machine Learning:

The Online MBA-Artificial Intelligence & Machine Learning program is suitable for individuals at various stages of their academic or professional journey:

1. Recent Graduates: Recent graduates with a background in business, technology, or related fields can benefit from the program by gaining a unique skill set that combines business acumen with AI and ML expertise.

2. Working Professionals: Professionals already employed in business or technology roles can pursue this program to enhance their qualifications and stay abreast of the latest advancements in artificial intelligence and machine learning.

3. Entrepreneurs: Individuals aspiring to launch their own ventures can find value in the program by acquiring the knowledge and skills needed to infuse AI and ML technologies into their business models.

4. Career Switchers: Those looking to transition into roles that require a combination of business leadership and technological expertise can use this program as a bridge to a new career path.

 

Key Highlights:

The Online MBA-Artificial Intelligence & Machine Learning program offers several key highlights that make it an attractive choice for individuals seeking a specialized and future-focused business education:

1. Strategic AI and ML Integration: The program seamlessly integrates AI and ML concepts into the business curriculum, providing students with a holistic understanding of how these technologies can be strategically applied in various industries.

2. Innovative Curriculum: The curriculum is designed to be innovative and forward-looking, incorporating the latest developments in artificial intelligence and machine learning. Students engage with real-world case studies and projects that apply these concepts to business challenges.

3. Flexible Learning: The online format allows students to balance their studies with professional and personal commitments, offering the flexibility needed for a dynamic learning experience.

4. Networking Opportunities: Students have the chance to connect with peers and industry experts through virtual discussions, forums, and collaborative projects. Networking in the AI and ML space can open doors to exciting opportunities and collaborations.

5. Dual Expertise: Graduates of the program emerge with a dual expertise in business administration and artificial intelligence/machine learning, positioning them as valuable assets in industries undergoing digital transformation.

 

Course Duration:

The duration of the Online MBA-Artificial Intelligence & Machine Learning program can vary depending on factors such as the institution, the mode of study (full-time or part-time), and individual pacing. On average, the program can typically be completed in two to three years of full-time study.

The flexible nature of online programs allows students to adjust their study pace based on personal and professional commitments. Some institutions may offer accelerated options, enabling students to complete theprogram in a shorter timeframe, while others may provide part-time options for those who prefer a more extended duration.

It is recommended for students to consult with the specific institution offering the program to understand the available study plans and choose one that aligns with their goals and schedule.

 

Academic Fees:

The academic fees for the Online MBA-Artificial Intelligence & Machine Learning program can vary among institutions. The fees typically include tuition costs, registration fees, and any additional charges related to online learning platforms or materials.

Prospective students are advised to check with the specific institution offering the program for accurate and up-to-date information on fees. Additionally, it is essential to inquire about any available financial aid, scholarships, or payment plans that can help alleviate the cost of pursuing the program.

When considering academic fees, students should also account for additional expenses such as textbooks, software, and internet access, ensuring a comprehensive understanding of the overall financial commitment.

 

Admission Procedure:

The admission procedure for the Online MBA-Artificial Intelligence & Machine Learning program may involve the following steps, but applicants are encouraged to refer to the specific institution's guidelines for precise details:

1. Research and Select Institutions: Begin by researching institutions that offer the Online MBA-Artificial Intelligence & Machine Learning program. Consider factors such as accreditation, faculty expertise, and program structure.

2. Review Admission Requirements: Thoroughly review the admission requirements of the institutions you are interested in. Take note of educational prerequisites, work experience recommendations, and any technical skills assessments.

3. Complete Online Application: Once an institution is chosen, complete the online application form accurately and submit all required information. Ensure all supporting documents are included, such as transcripts, letters of recommendation, and a personal statement.

4. Application Fee: Some institutions may require an application fee. Pay the fee according to the institution's instructions to initiate the application review process.

5. Submit Supporting Documents: Provide all required supporting documents, including academic transcripts, letters of recommendation, and a personal statement outlining your interest in the program and career goals.

6. Technical Proficiency: If applicable, demonstrate technical proficiency by fulfilling any specified requirements related to programming languages or statistical analysis tools.

7. Interview (if required): Participate in an interview, either in person or virtually, if it is part of the admission process. Use this opportunity to showcase your enthusiasm for the program and aligning career aspirations.

8. Wait for Admission Decision: After completing the application process, patiently await the admission decision. This may take some time, so it is advisable to apply well in advance of the program start date.

9. Accept Offer and Enroll: Upon receiving an offer of admission, carefully review the offer, any conditions, and the enrollment process. Accept the offer and complete the necessary steps to enroll in the program.

Applicants should refer to the specific admission guidelines of the institution offering the Online MBA-Artificial Intelligence & Machine Learning program for the most accurate and detailed information.

 

Why Opt for Education Loan:

Considering an education loan can be a strategic choice when financing your MBA-Artificial Intelligence & Machine Learning program. Here are compelling reasons why opting for an education loan may be beneficial for pursuing this specialized program:

1. Financial Support for Specialized Programs: Education loans offer crucial financial assistance tailored to cover the specific costs associated with an MBA-Artificial Intelligence & Machine Learning program. This includes tuition fees, specialized study materials, and other program-related expenses essential for mastering advanced technologies.

2. Flexible Repayment Options: Education loans typically provide flexible repayment options, allowing you to manage repayment after completing your studies or through installments over a designated period. This flexibility aligns with the potential career progression and increased earning capacity associated with a specialized MBA degree.

3. Investing in Future Career Prospects: Pursuing an MBA-Artificial Intelligence & Machine Learning program can significantly enhance your career prospects by equipping you with in-demand skills. An education loan serves as an investment in your education, paving the way for lucrative career opportunities in the evolving field of artificial intelligence and machine learning.

4. Building a Positive Credit History: Responsibly managing an education loan and repaying it on time can contribute to building a positive credit history. This can be advantageous when applying for future loans or engaging in financial transactions relevant to business roles, especially in areas where a strong credit history is valued.

5. Uninterrupted Focus on Studies: By choosing an education loan, you can concentrate on your studies without the immediate stress of managing financial obligations. This enables you to fully dedicate yourself to the rigorous coursework and analytical challenges presented by the MBA-Artificial Intelligence & Machine Learning program.

It is imperative to carefully review the terms and conditions of the education loan, including interest rates, repayment options, and associated fees. Comparing different loan options and seeking financial advice can empower you to make an informed decision specific to financing your specialized MBA program.

 

Is MBA-Artificial Intelligence & Machine Learning Worth It?

Determining the value of an MBA-Artificial Intelligence & Machine Learning degree involves considering individual circumstances and goals. Here are key factors to assess when evaluating if an MBA-Artificial Intelligence & Machine Learning degree is worth pursuing:

1. Strategic Career Advancement: An MBA-Artificial Intelligence & Machine Learning degree can significantly elevate your qualifications and open doors to advanced career opportunities within the rapidly evolving field of artificial intelligence and machine learning. If you seek strategic career advancement in technology-driven sectors, this specialized degree can provide a competitive edge.

2. Specialized Expertise: The program equips you with specialized expertise in artificial intelligence and machine learning, offering a unique skill set highly sought after by industries at the forefront of technological innovation. If you aspire to contribute to cutting-edge projects and innovations, the MBA-Artificial Intelligence & Machine Learning degree holds significant value.

3. Technological Leadership: The program fosters technological leadership by combining business acumen with advanced technical knowledge. If you aim to lead technological initiatives, drive innovation, or hold leadership positions in tech-centric organizations, the MBA-Artificial Intelligence & Machine Learning degree is highly relevant.

4. Industry Relevance: As industries increasingly embrace artificial intelligence and machine learning, professionals with expertise in these areas are in high demand. If you aim to be at the forefront of industry trends and contribute to transformative initiatives, the MBA-Artificial Intelligence & Machine Learning degree is worth considering.

5. Global Flexibility: The skills acquired through this specialized MBA program are globally applicable, offering flexibility in career opportunities worldwide. If you aspire to work in diverse international settings or multinational corporations, the global relevance of the MBA-Artificial Intelligence & Machine Learning degree enhances its worth.

6. Networking and Collaborations: MBA programs often facilitate networking opportunities through virtual discussions, forums, and collaborations with industry experts. If building a network within the artificial intelligence and machine learning community is important for your career goals, the program provides valuable connections.

7. Return on Investment: Assess the potential return on investment by considering factors such as increased earning potential, career advancement, and the ability to secure roles in high-growth industries. If the anticipated benefits align with your career aspirations, the MBA-Artificial Intelligence & Machine Learning degree is likely a worthwhile investment.

Ultimately, the value of an MBA-Artificial Intelligence & Machine Learning degree lies in how well it aligns with your career objectives and contributes to your professional growth. Thorough research, choosing a reputable institution, and evaluating the program's curriculum against your goals are essential steps in making an informed decision.

 

Examination Pattern for MBA-Artificial Intelligence & Machine Learning:

Online exams for the MBA-Artificial Intelligence & Machine Learning program are designed to assess your understanding of both business principles and advanced technological concepts. The examination pattern ensures a comprehensive evaluation of your skills and knowledge. Here is an overview of the typical examination pattern for this specialized program:

1. Exam Format: Online exams for the MBA-Artificial Intelligence & Machine Learning program may include a mix of question formats, such as multiple-choice questions (MCQs), case studies, essays, and practical problem-solving scenarios. This diverse format ensures a holistic assessment of your proficiency in both business and technology.

2. Integration of Business and Technology: Exams are structured to test your ability to integrate business strategies with artificial intelligence and machine learning solutions. Questions may require you to analyze business cases, propose AI-driven strategies, and demonstrate a deep understanding of the synergy between business and technology.

3. Technical Proficiency: Given the specialized nature of the program, exams assess your technical proficiency in artificial intelligence and machine learning. You may encounter questions related to algorithm design, data analysis, and the application of machine learning techniques to real-world business challenges.

4. Practical Application: Some exams may incorporate practical application components where you are required to solve business problems using AI and ML tools. This could involve data analysis, modeling, and decision-making scenarios that simulate real-world business environments.

5. Case Studies: Case studies are commonly used to evaluate your ability to apply AI and ML concepts in solving complex business problems. You may be presented with business scenarios and asked to propose data-driven solutions, demonstrating your strategic thinking and analytical skills.

6. Time Management: The exam duration is carefully set to assess your time management skills. The ability to analyze and respond to a variety of questions within a specified time frame reflects your efficiency in applying business and technology concepts.

7. Online Proctoring: To maintain the integrity of the examination process, some online exams may include remote proctoring. This involves using webcam monitoring, screen recording, or AI-based algorithms to ensure compliance with exam rules and prevent any irregularities.

8. Feedback and Grading: After completing the exam, instructors or examiners will review and grade your responses based on predefined criteria. The grading process considers the accuracy of your answers, the depth of analysis, and the application of both business and technology principles. Constructive feedback may be provided to support your continuous learning.

Understanding the examination pattern and preparing accordingly is essential for success in the MBA-Artificial Intelligence & Machine Learning program. Familiarize yourself with the specific guidelines provided by the course instructor or university to optimize your exam preparation and performance.

 

Course Curriculum


Semester

Subjects
1 Principles of Management, Financial Accounting, Microeconomics, Business Communication
2 Marketing Management, Organizational Behavior, Macroeconomics, Business Ethics
3 Artificial Intelligence Fundamentals, Machine Learning, Deep Learning, Natural Language Processing
4 Computer Vision, Reinforcement Learning, AI Ethics, AI and ML Capstone Project

 

Duration of Specialization

2 Years

Eligibility Criteria

Requirements:

To enroll in the Online MBA-Artificial Intelligence & Machine Learning program, applicants must meet specific requirements, which may vary by institution. Common requirements include:

1. Educational Background: Applicants typically need a bachelor's degree from an accredited institution. The degree may be in business, technology, computer science, or a related field.

2. Work Experience: While not always mandatory, some programs may prefer applicants with relevant work experience in business, technology, or a related field. This could be especially true for those applying from non-business backgrounds.

3. Technical Prerequisites: Since the program focuses on AI and ML, applicants may be required to demonstrate proficiency in relevant technical skills, such as programming languages or statistical analysis tools.

4. Letters of Recommendation: Some programs may request letters of recommendation from academic or professional references who can speak to the applicant's suitability for the program.

5. Personal Statement: A personal statement or statement of purpose expressing the applicant's motivations, career goals, and how the program aligns with their aspirations.

6. Interview: In some cases, applicants may be required to participate in an interview as part of the admission process. This may be conducted in person or virtually.

Applicants are advised to carefully review the specific admission requirements of the institution offering the Online MBA-Artificial Intelligence & Machine Learning program to ensure they provide all necessary documentation.

 

Skills Required:

The Online MBA-Artificial Intelligence & Machine Learning program equips students with a unique set of skills that blend business acumen with advanced technological expertise. Key skills developed through the program include:

1. Data Analysis: Students acquire advanced skills in data analysis, including the ability to interpret and draw insights from large datasets using machine learning algorithms.

2. Machine Learning Proficiency: The program provides a deep understanding of machine learning techniques, allowing students to apply predictive modeling, clustering, and classification methods to business challenges.

3. Business Strategy: Students develop strategic thinking skills, learning to align AI and ML solutions with broader business objectives and goals.

4. Innovation: The program fosters a mindset of innovation, encouraging students to explore creative applications of AI and ML technologies in various business scenarios.

5. Ethical AI: Students gain an understanding of ethical considerations in AI and machine learning, ensuring that the deployment of these technologies aligns with ethical standards and societal values.

6. Communication Skills: The ability to communicate complex technical concepts to non-technical stakeholders is emphasized, enabling graduates to bridge the gap between technology and business.

7. Project Management: Students learn project management skills, essential for overseeing AI and ML initiatives from conception to implementation.

8. Decision-Making: The program hones students' decision-making skills by integrating data-driven insights into the decision-making process, contributing to effective and informed choices.

 

admission procedure

frame

Job Opportunities

Job Opportunities in Artificial Intelligence & Machine Learning:

Earning an MBA-Artificial Intelligence & Machine Learning degree opens up a spectrum of high-demand job opportunities at the intersection of business and advanced technologies. Graduates possess a unique skill set that is valuable across various industries. Here are some potential job opportunities for MBA-Artificial Intelligence & Machine Learning graduates:

1. AI and ML Strategist: Develop and implement strategic plans for integrating artificial intelligence and machine learning technologies into business operations.

2. Data Science Manager: Lead teams in utilizing data science techniques to derive insights, make data-driven decisions, and enhance business processes.

3. AI Product Manager: Oversee the development and launch of AI-driven products, ensuring alignment with market needs and business objectives.

4. Machine Learning Engineer: Design, build, and deploy machine learning models and algorithms to address complex business challenges.

5. Chief Technology Officer (CTO): Provide technological leadership at the executive level, guiding organizations in adopting and leveraging AI and ML innovations.

6. Business Intelligence Analyst: Analyze data and generate actionable insights to support strategic business decisions and improve operational efficiency.

7. Innovation Manager: Drive innovation initiatives by identifying opportunities for applying AI and ML to enhance products, services, or internal processes.

8. Consultant in AI Strategy: Advise organizations on developing and implementing AI and ML strategies to achieve business objectives and gain a competitive edge.

9. Digital Transformation Manager: Lead efforts to digitally transform businesses through the strategic adoption of AI and ML technologies.

10. Entrepreneur in Tech Startups: Launch and manage your tech startup, leveraging AI and ML solutions to address market needs and disrupt industries.

It's essential to note that these roles may vary in specific requirements and responsibilities, and professional experience, networking, and continuous learning will enhance your competitiveness in the job market.

Top Recruiters

Top Recruiters in Artificial Intelligence & Machine Learning:

MBA-Artificial Intelligence & Machine Learning graduates are highly sought after by prestigious employers across industries at the forefront of technological innovation. Here are some top recruiters who value the unique skill set acquired through this specialized program:

1. Technology Giants: Leading technology companies such as Google, Microsoft, Amazon, and IBM actively seek MBA-Artificial Intelligence & Machine Learning graduates for roles at the intersection of business and technology.

2. Consulting Firms: Renowned consulting firms like McKinsey, BCG, and Accenture value the strategic insights and technological expertise that MBA-Artificial Intelligence & Machine Learning graduates bring to their client-focused projects.

3. Financial Institutions: Banks and financial institutions recognize the importance of AI and ML in financial services. Institutions like JPMorgan Chase, Goldman Sachs, and Fidelity Investments seek graduates to enhance their technological capabilities.

4. Healthcare and Pharma Companies: Companies in the healthcare and pharmaceutical sectors, such as Pfizer and Johnson & Johnson, seek MBA graduates with AI and ML expertise to drive innovation in healthcare solutions and drug discovery.

5. E-commerce and Retail: E-commerce giants like Amazon and retail leaders such as Walmart are actively recruiting MBA-Artificial Intelligence & Machine Learning professionals to optimize supply chain management, enhance customer experiences, and implement personalized marketing strategies.

6. Automotive Industry: Companies in the automotive sector, including Tesla and BMW, seek MBA graduates to leverage AI and ML for autonomous driving technology, predictive maintenance, and supply chain optimization.

7. Telecommunications: Telecommunication companies like Verizon and AT&T recognize the importance of AI in network optimization, customer service, and product development, making them key recruiters for MBA-Artificial Intelligence & Machine Learning professionals.

8. Energy and Utilities: Energy companies, including ExxonMobil and Shell, are interested in MBA graduates with AI and ML expertise to enhance efficiency in exploration, production, and distribution processes.

9. Consumer Electronics: Leading consumer electronics companies such as Apple and Samsung seek MBA-Artificial Intelligence & Machine Learning professionals to drive innovation in smart devices, virtual assistants, and connected technologies.

10. Government and Defense: Government agencies and defense contractors recognize the strategic importance of AI and ML. Organizations such as NASA, the Department of Defense, and intelligence agencies actively recruit professionals with both business acumen and technological expertise.

Engaging in networking activities, internships, and industry-specific projects during your MBA program can enhance your visibility to these top recruiters and open doors to exciting career opportunities.