MBA Artificial Intelligence: Course, Fees, Admission, Exams, Colleges, Syllabus, Scope

MBA in Artificial Intelligence Course- Highlights

MBA in Artificial Intelligence is a two-year postgraduate programme that combines management studies with cutting-edge AI technologies. It offers vast career opportunities in top companies like Microsoft, Amazon, and BYJU’s. Below are the key highlights, including degree level, course duration, eligibility, entrance exams, average salary, fees, job roles, and recruiters.

MBA in Artificial Intelligence Eligibility Criteria

Applicants interested in pursuing an MBA in Artificial Intelligence course must meet the eligibility criteria of the desired course to be eligible for admission. Every institute has its own different eligibility criteria, which can be found in the programme brochure or on the official website of the chosen institute. Candidates are advised to check the eligibility criteria before applying for admission. MBA Artificial Intelligence eligibility criteria are mentioned below:

MBA in Artificial Intelligence Admission

Admission to an MBA in Artificial Intelligence typically involves an entrance exam, followed by group discussions and/or personal interviews. While some institutes prioritise entrance scores, others consider the candidate’s overall profile. Selection criteria may vary across colleges. Below are the common steps generally followed during the admission process.

Step 1- Meet the eligibility requirements- Candidates interested in studying the MBA Artificial Intelligence course should meet the eligibility requirements of the course. They can find the same on the official website of the provider or the programme brochure.

Step 2- Fill out the online application form- To register themselves, candidates should fill out the application form. They can also visit the admission office of the provider to get a physical admission form.

Step 3- Entrance examinations- Many business schools follow a three-stage admission procedure for admissions. Generally, candidates should appear for entrance examinations, CAT, MAT, CMAT, XAT, and SNAP are some of the popular entrance examinations.

Step 4- Group Discussion and Personal Interview- Many business schools also conduct group discussions and personal interview sessions apart from entrance examinations to screen the most deserving candidates.

Step 5- Pay the course fees and submit relevant documents- To conclude the admission process, candidates should pay the course fees and submit relevant documents.

Top MBA in Artificial Intelligence Entrance Exams

Many exams are conducted at the university, state and national levels. CAT, MAT, XAT, CMAT, and SNAP are some of the prominent entrance examinations. In the table below, we have mentioned the entrance examinations, along with their relevant details.

MBA in Artificial Intelligence Cutoff for Top Colleges

The cut-off for MBA in Artificial Intelligence is a set of criteria that determines the candidate’s admission to the MBA in Artificial Intelligence course at their desired college. Students must score at or above the cut-off to be eligible for admission. The cut-off for the MBA Artificial Intelligence course varies depending on the entrance test, its difficulty level and the number of candidates applying for admissions.

MBA in Artificial Intelligence Syllabus

The syllabus of MBA Artificial Intelligence might vary from one college to another, but overall, the subjects are more or less the same at every institute. In the following table, we have mentioned the syllabus of SRM University, Chennai, for their MBA Artificial Intelligence and Data Science course.

MBA in Artificial Intelligence Syllabus for First Year

In the first year of the MBA in Artificial Intelligence, students will study subjects such as Organisational Behaviour, Human Resource Management, Business Analytics, and Corporate Finance. In the table below, we have mentioned the semester 1 and semester 2 syllabi of the MBA in Artificial Intelligence.

MBA in Artificial Intelligence Syllabus for Second Year

In the second year of the MBA Artificial Intelligence course, students will study subjects such as Advanced Machine Learning, Business Intelligence, Natural Language Processing, and Big Data Management and Security. In the table below, we have mentioned the second-year syllabus of the MBA Artificial Intelligence.

MBA (Artificial Intelligence in Business) at SCIT Pune

Symbiosis Centre for Information Technology (SCIT), Pune, has launched a new MBA (Artificial Intelligence in Business) for the 2027-29 batch. It is a two-year, full-time, residential programme with two specialisations: MarTech and AI, and FinTech and AI. 

SCIT MBA (AI in Business) at a glance:

SCIT MBA (AI in Business) Eligibility

SCIT admission through SNAP

You cannot get in with a SNAP score alone. You also have to apply to SCIT in the same form and pay the programme registration fee. Here is the route. 

SCIT’s personal interaction marks also count your academic record, degree, work experience and extra-curricular work. SCIT does not publish a fixed SNAP cutoff, because it changes every year.

SCIT MBA (AI in Business) Curriculum

In each of semesters 2, 3 and 4, students pick any four specialisation electives (2 credits each).

Automation vs Analytics in an MBA in AI: What the Course Content Shows

A programme name tells you very little. “AI in Business” and “Data Analytics” both sound close, and both teach Python and SQL. The real difference shows up in the course list. Here is how SCIT’s MBA (AI in Business) splits its compulsory courses.

Compulsory automation courses add up to 7 credits and analytics to 9, out of 100. So neither is the main focus. The rest goes to management subjects, AI strategy and governance, and the specialisation electives. The analytics electives (Marketing Analytics, Financial Analytics, Customer Analytics, Time Series) depend on the track you choose.

Now compare it with SCIT’s MBA in Data Sciences and Data Analytics (DSDA).

In simple words, the AI in Business course is built around using and managing AI and automation inside a business function. The DSDA course goes deeper into data and modelling. When you compare any college, open its programme structure and look for these course types instead of trusting the name.

MBA in Artificial Intelligence Fee Structure

The fees for an MBA in Artificial Intelligence are different at every institute. Applicants are required to check the fees by visiting the official website of their desired college. The fees of the MBA Artificial Intelligence course range from Rs 54,000- Rs 8 lakhs.

Scope of MBA in Artificial Intelligence

The scope of an MBA in Artificial Intelligence is expanding both in India and globally. Graduates can pursue careers in fields like Machine Learning Engineering, Data Science, and AI Engineering. The course prepares students to work at the intersection of business strategy and emerging AI technologies across multiple industries.

With rising automation and digital transformation, Artificial Intelligence is becoming integral to business operations. Many companies in India are adopting AI to improve efficiency and reduce manual tasks. This shift is creating new job opportunities, replacing traditional roles, and promising strong career growth in the AI domain in the coming years.

Career Opportunities after MBA in Artificial Intelligence

There are many career paths that candidates can opt for after completing an MBA in Artificial Intelligence. Given below are the most popular MBA Artificial Intelligence career paths graduates can pursue.

Machine Learning Engineers: Machine Learning Engineers focus on building self-running artificial intelligence systems. They also implement machine learning algorithms and perform statistical analyses, and design and develop machine learning systems.

Data Scientist: Data Scientists analyse big data to understand how it can be fed into the AI System to make the AI more efficient. They are the most important people in the AI world. They help the organisation to make the right decisions. Their work revolves around information.

Artificial Intelligence Engineer: Artificial Intelligence engineers are responsible for building models for AI-based applications using classic machine learning techniques. They work with computers that have artificial intelligence and machine learning and assist in the development of AI-based algorithms and software.

Research Scientist: Research Scientists fine-tune the machine learning algorithm, examine how and what data can be fed to the AI system to make it work optimally, and increase the decision-making power of the AI.

Top Recruiters

• Microsoft
• Reliance Jio
• Amazon
• Emotix
• Facebook
• BYJU's

Benefits of Studying an MBA in Artificial Intelligence

Studying for an MBA in Artificial Intelligence offers a lot of benefits in today’s advanced tech-driven world. An MBA in Artificial Intelligence opens a wide range of opportunities for the candidate.

Everyone must have at least some knowledge of AI to remain relevant, as AI will eventually replace human workers and create a plethora of new career openings in the field. Artificial intelligence is a versatile discipline and is used in various disciplines, including healthcare, banking and finance and automobiles.

MBA in AI vs Technical AI Degrees: Business-Management or Engineering Path?

An MBA in AI is a management degree with AI added to iPointt. A BTech or MTech in AI is an engineering degree. They can look alike on a brochure, but the daily work is different.

MBA Artificial Intelligence Salary in India

The salary after completion of an MBA in Artificial Intelligence in India depends on various factors such as field of employment, experience, location of the company and the status of the company. In the following table, we have mentioned the average MBA Artificial Intelligence salary for the different careers that can be pursued after completing the course.

Source: AmbitionBox

Is an MBA in Artificial Intelligence Worth It?

It depends on the college, the fees and what you want to do after it. The salary figures above are averages and are not a promise for every graduate.

Take SCIT’s new programme as an example. Its academic fee is Rs 18 lakh. The average salary for a Machine Learning Engineer in the table above is Rs 11.2 LPA, so the fee is about 1.6 times that yearly pay. The programme also starts in June 2027, so there is no placement data for it yet. If you are considering it, look at SCIT’s placement pages for its older MBA programmes and ask the institute directly about the AI in Business batch.

Top Private MBA Artificial Intelligence Colleges in India

Many private colleges offer an MBA in Artificial Intelligence; candidates interested in studying the same should meet the eligibility requirements. In the table below, we have mentioned the MBA Artificial Intelligence private colleges, along with the respective fees.

Top Government MBA Artificial Intelligence Colleges in India

Few government institutes in India offer an MBA in Artificial Intelligence, making them highly sought-after due to their affordability and quality. Anna University is one of the recognised institutions providing this programme. These colleges prepare students with AI and business skills essential for leadership roles in the evolving tech-driven industry landscape.

Checklist to Choose an MBA in Artificial Intelligence Programme

Run every college you shortlist through this list before you apply.