MBA AI Course

The Full Form of an MBA in AI is a Master of Business Administration in Artificial Intelligence. Artificial intelligence has been evolving rapidly in recent years, and many MBA programs offer degrees in the field. While there is no single correct method to learn about artificial intelligence, pursuing an MBA can give you the critical skills & knowledge you need to succeed in this rapidly growing field.

MBA programs in AI typically cover machine learning, natural language processing, and knowledge representation. Students will also learn about algorithms, data mining, and decision trees. In addition, they will take courses on business management and marketing. With an MBA in AI, graduates will be prepared to work in various industries, including healthcare, finance, and manufacturing.

MBA with a concentration in Artificial Intelligence is a two-year full-time program offered by various business schools worldwide. The degree program prepares students for management consulting, marketing, product management, and software engineering careers. It also offers them the skills and knowledge required to develop artificial intelligence applications for businesses.

The MBA Artificial Intelligence is devised to equip you with the skills and knowledge required to manage the intricacies that stem from an artificial intelligence-driven world. You are presented with an opportunity to study the key issues that stem from deploying AI technologies, the impact that AI has on management and business strategy, and the actions executives ought to take while creating a strategy for their company, through modules on Information Management, Artificial Intelligence, and Data Analytics.

This program provides an opportunity to study MBA Artificial Intelligence using a flexible and distributed learning environment that will enhance your learning experience as Robert Kennedy College provides a bespoke series of MBA modules via distance learning that, within a set time frame, allows study at a pace, place, and location which suits you.

MBA Artificial Intelligence Course Highlights

Highlights for the MBA in Artificial Intelligence program are provided in the table given below:

Why MBA in Artificial Intelligence?

• After completion will have better career opportunities and growth. If students are interested in where they can be part of something global as well as contemporary, then this is for them.

• This field has got better salaries. Skilled fresher will start from 8LPA, and it is just at the start of their career. An experienced professional can take up to 15LPA at home.

• If they acquire the skills for necessary Data science and AI, the future of the industry will be very bright.

MBA in Artificial Intelligence Eligibility Criteria

MBA Artificial Intelligence eligibility criteria require a minimum of 45%–50% academic aggregate in any bachelor's degree (10+2+3) of any discipline from a reputed college or university.

- Depending on the institute, there are different requirements for enrolling in an MBA in Artificial Intelligence program. People who have completed their bachelor's degree and want to continue their studies can enroll in an MBA in Artificial Intelligence program offered by a variety of management universities.

- Students must get a bachelor's degree in any field. Students who have finished their BBA and want to pursue an MBA in Artificial Intelligence can also take this course.

- Candidates must pass entrance exams to pursue an MBA in Artificial Intelligence.

MBA Artificial Intelligence Syllabus & Subjects

MBA in Artificial Intelligence Syllabus is similar to most colleges. However, there might be some modifications in the MBA in Artificial Intelligence Syllabus from college to college. The syllabus for the MBA in Artificial Intelligence course is as follows.

MBA in Artificial Intelligence Admission Process

Students may learn more about the MBA application process by looking it up on the internet. The student’s grades on regular admission tests determine whether or not they are admitted to the MBA in Artificial Intelligence program. Many other deemed institutions and private colleges also administer university-level admission tests.

(i). National-level exams are often exclusively available through online portals. Online and offline applications are available for private colleges and deemed universities. After that, there is an admission exam, a group discussion, and a personal interview.

(ii). Students are invited to a counseling session after receiving their entrance exam cut-off results. The overall weightage obtained by a student in the entrance exam, personal interview/group discussion, and academic achievement is used to determine admission.

Skills Required

Required skills for the MBA Artificial Intelligence program are provided in the table given below:

Job Profile

These are the career options for Al-certified candidates. Candidates who are interested in this challenging, creative, and fast-paced industry, are advised to read the above job roles in the Al and Machine learning stream.

Job Opportunities after MBA in Artificial Intelligence 

• Students who have completed MBA in Artificial Intelligence will get jobs in both the Public and Private sectors. They can work in the IT field and other related fields like Data Analytics, Gaming, Manufacturing Sector, Assembly Line Operations, Natural Language Processing, Robotics, etc.

• After completing this program, students can work as Big Data Engineer, User Experience Specialist, Game Programmer, Machine Learners, etc.

• Some of the most common job profiles that an MBA Artificial Intelligence postgraduate can opt for along with job description and salary package are mentioned in the table below.

Conclusion

MBA in Artificial Intelligence represents a powerful combination of business acumen and technical expertise, preparing graduates to lead in a world increasingly driven by technology. MBA programs that incorporate AI courses are crucial for preparing future business leaders to succeed in an AI-driven world. These courses provide students with important skills to utilize AI for innovation, strategic optimization, and data-driven decision-making.