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MBA Artificial Intelligence: Career & Job Opportunities in India

MBA Artificial Intelligence: Career & Job Opportunities in India

Find out how MBA in Artificial Intelligence degree will brighten your future in the job world. In this descriptive guide, get an overview of the MBA AI career!

DPU COL
June, 19 2024
1355

In the twenty-first century, artificial intelligence has grown to form the foundation of several prosperous enterprises. It is now a basic requirement for the majority of businesses worldwide, and most of them utilize it extensively. The Indian government has taken many actions to advance artificial intelligence. The goal of government policy is to advance artificial intelligence and integrate it into daily life. Governmental bodies from all around the world, including those in India, rely on this area to advance technology standards. Many IT businesses rely on AI for ongoing support; therefore, they are always hiring recent graduates with this degree.

What is MBA in Artificial Intelligence

AI makes it possible for computers and other devices to mimic human intelligence and problem-solving skills. Artificial intelligence is a branch of computer science that includes machine learning and deep learning and is frequently discussed in conjunction with them. A few instances of AI in the news and our daily lives are digital assistants, GPS navigation, driverless cars, and generative AI tools (like Open AI's ChatGPT).

The term "MBA in Artificial Intelligence" refers to a Master of Business Administration degree that focuses on artificial intelligence (AI). This program combines conventional business management principles with an emphasis on the strategic use and management of AI technology across several sectors. The curriculum usually covers topics related to economics, marketing, strategy, ethics, data analytics, AI and machine learning, and responsible AI practices. Students have a thorough understanding of how AI may spur creativity, enhance judgment, and boost productivity within an organization.

The curriculum highlights industry-specific uses of AI as well as authoritative capacities and effective communication for leading AI projects and teams. Graduates of this specialized MBA program will have the knowledge and abilities necessary to negotiate the dynamic hub of business and AI.

Career Options for Artificial Intelligence Graduates

The flexible MBA in Data Science and AI program gives graduates access to a wide range of careers and businesses. Industries such as finance, healthcare, fashion, and e-commerce need leaders who can drive strategic choices using data insights. Let's examine the many positions that an MBA in Data Science and AI may lead to. There are several professional paths in which you might choose to specialize:

Data Analyst

Graduates with a background in data analysis can find employment in a variety of industries, including fintech, healthcare, and entertainment. Technology experts and data analysts verify the precision of information provided to enable well-informed decision-making. The information gathered may include market trends, sales statistics, and other company-related information. A data analyst's main responsibility is to deal with databases or APIs. Finding patterns and trends in data via statistical and analytical methods. They create data-driven dashboards and project future trends to help businesses make wise decisions.

Supply Chain Analyst

Chains of e-commerce are utilizing data more and more to obtain a competitive edge. The supply chain is among their most important managerial domains. To boost the efficiency of their supply operations, digital companies are employing supply chain experts. A supply chain analyst evaluates past sales data and market trends to precisely estimate future demand while working on demand planning and forecasting.

AI Marketing Manager

The marketing department's AI strategies and technology are overseen by an AI marketing manager. Their primary objective is to improve marketing efforts with the use of AI. They look for marketing opportunities where data-driven insights may be gained by strategically implementing AI technologies such as chatbots, email marketing, newsletters, personalization algorithms, and predictive analytics. With their knowledge of marketing tactics, data analysis, and AI technology, MBA graduates in data science and AI strive to increase consumer engagement and conversion rates.

Multichannel CRM Manager

This versatile profile helps the company maximize the entire client experience through a variety of communication channels. The goal of multichannel CRM managers is to create and implement a thorough multichannel CRM strategy that supports the business goals of the company. To efficiently divide up the client base, they gather, organize, and evaluate consumer data. CRM managers may adapt and customize communication tactics to different client segments by using marketing automation solutions to expedite the communication process. increasing client loyalty and engagement as a result.

Data Science Managers

Data science managers are employed in a variety of areas, including IT, healthcare, and banking. The data science manager's major role is to lead the management team and supervise the data science team. They are in charge of data strategy and have a strong understanding of data science approaches. They use data science to solve complex problems, create company value, and guide strategic decisions. The major contrast between data science managers and data analysts or business analysts is that the latter specializes in data analysis and interpretation. The latter is responsible for a broader strategic and leadership role, including project management, data strategy, and team supervision.

Product Analyst

Graduates can apply to work as product analysts in a variety of industries. Product analysts work with data-driven insights and user feedback to optimize goods and services, bridging the gap between corporate goals and product development. They evaluate and examine a brand's offering to spur advancements, boost consumer satisfaction, and optimize financial results. They collaborate closely with UX/UI designers and product managers to create a fiercely competitive product.

AI Scientist or AI Engineer

AI scientists are responsible for creating AI-based systems and writing sophisticated algorithms that simulate human intelligence. Software developers and AI scientists work together to create AI and ML technologies like intelligent assistants and automated decision-making systems.

Data Science Consultant

Graduates who hold an entrepreneurial mindset may choose to work as consultants. They can choose to specialize in a certain area, such as healthcare, and become authorities in that particular specialty, or they can choose to work on a wide range of projects in many industries, keeping a flexible portfolio. Consultants in data science wear several jobs. They work on projects that need them to understand a brand's business needs, gather and compile data from various sources, do in-depth statistical research, and use machine learning for predictive analysis. They assess the brand's existing model and create data-driven solutions to guarantee successful customer happiness. They push brands to use data in their daily decision-making processes.

Why Choose an MBA in Artificial Intelligence?

AI fuels innovation across industries, from facial recognition to business process optimization. An MBA in AI integrates business fundamentals with cutting-edge tech skills like speech recognition and decision-making algorithms. Our program emphasizes strategic planning, finance, and consulting alongside AI expertise.

Students gain hands-on experience in our AI Lab, applying solutions to real-world projects. Through diverse learning methods including workshops and case studies, they develop practical insights for global business challenges.

Artificial Intelligence Salary Range in India

Naturally, the range of AI employment types and compensation packages increases with the variety of applications. For example, whereas about 40% of professionals in India receive an entry-level artificial intelligence compensation of about Rs. 6,00,000, mid-level and senior-level artificial intelligence income in India can reach above Rs. 50,00,000. AI occupations have reached their peak in recent years, meeting the increasing needs of digitally revolutionized sectors. In the last three years, the demand for AI skills has more than doubled, according to a 2018 Indeed report, with job postings in the field rising by an astounding 119%.

Benefits of MBA in AI from Dr. D.Y. Patil Vidyapeeth's Centre of Online Learning (DPU-COL)

Explore a comprehensive Bachelor's program at DPU-COL designed to equip you with essential management skills and cutting-edge knowledge. From core subjects like management principles and organizational behavior to specialized areas including artificial intelligence and machine learning, our curriculum prepares you for diverse roles in today's business world. Elective courses in digital marketing, business ethics, and more allow customization to align with your career goals. Join our community of learners and embark on a journey of professional growth and opportunities at DPU-COL.

Check out the detailed curriculum across the 4 semesters at our MBA in Artificial Intelligence and Machine Learning page.

Frequently Asked Questions

What are the highlights of the MBA AI course in DPU-COL?

Highlights include responsive online courses, interactive lectures, online assistance, a simple web interface, individualized instruction through mentorship, and continuous development with review meetings.

What are the eligibility criteria for MBA AI?

Eligibility requires graduation with a minimum of 50% marks; work experience is not required.

Can I access the online courses from any location?

Yes, the online courses are responsive and accessible from any location with internet connectivity.

Are there opportunities for practical learning in the MBA AI program?

Yes, students engage in hands-on projects, case studies, and internships to gain practical experience.

What are the key topics covered in the MBA AI curriculum?

The curriculum includes subjects such as machine learning, deep learning, business analytics, strategic management, and AI applications in business. The curriculum is divided into four semesters.

What are the career prospects after completing the MBA AI program?

Graduates can pursue roles such as AI strategist, data analyst, AI project manager, business intelligence consultant, and more in various industries.

Can international students apply for the MBA AI program at DPU-COL?

Yes, international students are welcome to apply, subject to meeting the eligibility criteria and visa requirements.

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