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MBA in Data Science and Artificial Intelligence is a specialised programme that blends an advanced understanding of data analytics, machine learning, and AI technology with business management concepts. Graduates can evaluate large, complicated datasets, extract useful information, and incorporate AI-powered solutions into business plans. They are equipped to lead data-driven projects, streamline decision-making procedures, and spur innovation across a range of industries.
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The curriculum usually includes a mix of fundamental management topics like marketing, finance, and operations. This degree offers many opportunities due to the growing adoption of AI in industries such as healthcare, banking, e-commerce, and technology. It equips professionals to use AI and data science tools to solve real-world business problems.
MBA in Data Science and Artificial Intelligence offers graduates job opportunities with an average package of Rs. 6.8 LPA in companies like Google, Amazon, Microsoft, Deloitte, Accenture, Capgemini and Tata Consultancy Services. Graduates can find employment in job profiles like Data Scientist, Business Analyst, Chief Data Officer and Marketing Data Strategist.
Highest CTC: Rs 18.33 LPA | Average CTC: Rs 7.39 LPA | Experiential Learning | Classes by Industry Professionals | Alumni Mentorship Program
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Particulars | Values |
---|---|
Degree Name | MBA in Data Science and Artificial Intelligence |
MBA in Data Science and Artificial Intelligence Degree Type | Master of Business Administration |
MBA in Data Science and Artificial Intelligence Duration | 2 years |
MBA in Data Science and Artificial Intelligence Eligibility Criteria | Students must have completed their bachelor’s degree in Data Science and Artificial Intelligence or a relevant field with a minimum of 55 per cent. |
MBA in Data Science and Artificial Intelligence Admission Process | Merit-based or based on entrance test results |
MBA in Data Science and Artificial Intelligence Average Salary | Rs. 6.8 LPA |
MBA in Data Science and Artificial Intelligence Job Profiles | Data Scientist, Business Analyst, Chief Data Officer and Marketing Data Strategist |
MBA in Data Science and Artificial Intelligence Top recruiters | Google, Amazon, Microsoft, Deloitte, Accenture, Capgemini and Tata Consultancy Services |
Eligibility criteria for enrollment in MBA in Data Science and Artificial Intelligence varies from institute to institute. Aspiring students must fulfil the required eligibility criteria to pursue the course from a college of their choice. We have provided the detailed eligibility criteria considered by colleges to provide admissions in MBA in Data Science and Artificial Intelligence courses:
Eligibility Parameters | Details |
---|---|
Educational Qualification | Bachelor's degree from a recognised institute in India |
Minimum aggregate score | 50-60 per cent aggregate score, 5-10 per cent relaxation for candidates belonging to the reserved categories |
Entrance Examination | CAT, MAT, CMAT, SNAP, and NMAT are popular entrance examination. |
Work Experience | 1-2 years (depending on the institute) |
Applying for an MBA in Data Science and Artificial Intelligence degree requires prospective students to adhere to a set admissions process. To be admitted into the college of their choice, candidates must complete a few steps. The admissions process varies depending on the institution.
Step 1- Meet the eligibility requirements
Candidates interested in studying MBA Data Science and Artificial Intelligence course should meet the eligibility requirements of the course. They can find the same on the official website of the provider or on the programme brochure.
Step 2- Fill the online application form
To register themselves, candidates should fill 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 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.
MBA in Data Science and Artificial Intelligence takes into consideration the entrance test results along with the merit scores to grant admission to the students. Many colleges consider the test scores of the following examinations to grant admissions to aspiring students:
Exam Name | Conducting Body | Exam Schedule |
---|---|---|
IIM Lucknow | ||
All India Management Association | ||
XLRI Jamshedpur | ||
National Testing Agency | ||
Graduate Management Admission Council |
In order to get admitted to a college of choice, a candidate must clear the college’s required cutoff score, rank or percentile. Since, MBA in Data Science and Artificial Intelligence, takes into consideration the entrance test results along with the merit scores, students must score a minimum of 55 per cent in their undergraduate along with clearing the expected cutoff in relevant entrance examinations.
MBA in Data Science and Artificial Intelligence combines advanced subjects in data analytics, machine learning, and artificial intelligence technologies. Students gain knowledge on how to use data-driven insights for leadership, innovation, and strategic decision-making. We have provided the syllabus of MBA in Data Science and Artificial Intelligence offered by SRM Institute of Science and Technology, NCR Campus, Ghaziabad:
In the first year of MBA Data Science and Artificial Intelligence candidates will study subjects such as Organisational Behaviour, Entrepreneurship, Statistics and Quantitative Techniques, and Corporate Finance.
Semester 1 | Semester 2 |
---|---|
Organisational Behavior and Design | Human Resources Management |
Managerial Economics and Indian Economic Policy | Corporate Finance |
Marketing Management | Operations Management |
Financial Reporting, Statements and Analysis | Entrepreneurship |
Statistics and Quantitative Techniques | Legal and Business Environment |
Information Management | Indian Ethos and Corporate Strategy |
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Highest CTC: INR 28.25 LPA | Average for Top 100 offers: INR 17.34 LPA | Ranked #63 in India under Management category by NIRF | 148 Recruiters
In the second year of MBA Data Science and Artificial Intelligence, students will study subjects such as Advanced Machine Learning, Business Intelligence, Data Visualisation, and Big Data Management and Security.
Semester 3 | Semester 4 |
---|---|
Analytics toolkit for Decision Sciences | Advanced Machine Learning |
Introduction to Machine Learning | Deep Learning – II |
Natural Language Processing | Business Intelligence |
Data Visualization | Big Data Management and Security |
Artificial Intelligence and its Applications | - |
Deep Learning – I | - |
Many private colleges in India offer MBA in Data Science and Artificial Intelligence. The fee for an MBA in Data Science and Artificial Intelligence varies between Rs. 50,000 to Rs. 15 Lakhs. Students are advised to check the official websites of colleges to get verified information on the fee structure.
MBA in Data Science and Artificial Intelligence has a wide range of applications, given the growing use of data-driven strategies and AI-powered solutions by organisations across industries. Graduates are highly demanded in industries such as manufacturing, e-commerce, technology, healthcare, and finance, where they can use their knowledge to enhance customer satisfaction, operations, and corporate results.
The course provides access to jobs in cutting-edge industries like digital transformation consulting, machine learning implementation, and AI ethics. Companies depend on experts who can not only simplify complicated data but also create plans to incorporate AI into their daily operations. The need for qualified workers in this multidisciplinary industry is increasing globally, which guarantees a bright and significant career path.
MBA in Data Science and Artificial Intelligence offers numerous employment options with the combination of technology and business. Graduates can work in positions that use AI and data analytics to promote innovation, decision-making, and digital transformation in sectors like e-commerce, healthcare, and finance. Some of the job profiles offered to the graduates are as follows:
Job Profiles | Job Description |
---|---|
Data Scientists examine large, complicated databases to find trends, extract insights, and resolve business issues. They are essential in promoting data-driven decision-making in a variety of sectors. | |
Business Analysts help close the gap between technical solutions and business requirements by examining data and procedures to suggest enhancements. They concentrate on increasing productivity, resolving issues, and coordinating plans with corporate objectives. | |
Chief Data Officer | Chief Data Officers oversee an organisation's data strategy and make sure that data is used, governed, and of high quality. They supervise how AI and data analytics are incorporated into decision-making procedures in line with corporate goals. |
Marketing Data Strategist | Marketing Data Strategists use AI and data analytics to forecast consumer behaviour, optimise customer segmentation, and create focused advertising. They concentrate on using data-driven insights to increase marketing efficacy and propel company expansion. |
Leading tech corporations like Google, Amazon, and Microsoft, as well as consulting organisations like Deloitte and Accenture, are among the top recruiters for an MBA in Data Science and Artificial Intelligence. To increase innovation and enhance business plans, these companies are looking for experts in AI, machine learning, and data analytics. Some of the top recruiters are:
MBA in Data Science and Artificial Intelligence gives professionals both technical and business skills, empowering them to drive innovation and data-driven decision-making. Graduates have access to leadership positions in industries where analytics and artificial intelligence are essential to company expansion and change.
Graduates with an MBA in Data Science and Artificial Intelligence can expect competitive pay that varies according to their sector segment, region, and experience. There is a possibility of earning more as professionals progress into senior positions such as data analytics or media directors. Some of the high-paying job profiles in the field are as follows:
Job Profiles | Average Salary |
---|---|
Data Scientist | Rs. 4.1 LPA |
Business Analyst | Rs. 3.6 LPA |
Chief Data Officer | Rs. 7.5 LPA |
Marketing Data Strategist | Rs. 4.8 LPA |
Source: Ambition Box
Many private colleges across India offer MBA in Data Science and Artificial Intelligence. These colleges present a highly successful placement report with exceptional teaching staff and a multipurpose college campus. Below, we have mentioned the popular private colleges.
Colleges | Fee Structure (Entire Course) |
---|---|
- | |
Rs. 14.56 Lakhs | |
Rs. 11.4 Lakhs | |
Rs. 1.70 Lakhs | |
Rs. 8 Lakhs | |
- | |
Rs. 50,000 | |
Rs. 4 Lakhs | |
Rs. 6.40 Lakhs | |
- |
MBA in Data Science and Artificial Intelligence equips graduates for leadership positions in the rapidly changing tech-driven industry by providing a potent blend of business strategy and state-of-the-art technological skills. This degree provides access to profitable job opportunities in fields that use AI and data to boost innovation and growth.
MBA in Data Science and Artificial Intelligence blends knowledge of data analytics, machine learning, and AI technology with business management abilities. It equips experts to promote innovation and data-driven decision-making in tech-driven sectors.
Yes, entrance examinations like CAT, MAT are required for admission into MBA in Data Science and Artificial Intelligence.
Students must have completed their bachelor’s degree in Data Science and Artificial Intelligence or a relevant field with a minimum of 55 per cent.
Data Scientist, Business Analyst, Chief Data Officer and Marketing Data Strategist are some job profiles one can pursue after MBA in Data Science and Artificial Intelligence.
The average salary of graduates of MBA in Data Science and Artificial Intelligence is averaged at Rs. 6.8 LPA in various roles in Google, Amazon, Microsoft, Deloitte, Accenture, Capgemini and Tata Consultancy Services.
In 2026 the best fields for Specializations in MBA are :
Best institutions in India are :
Hello Mansi
The fees structure for MBA Programme varies from college to college , either government college, private college.
It also depends on college facility, infrastructure , NAAC Grading, College reputation. For private universities it may be upto 4-5 lakhs , or 5+ lakhs for top private university .
For government colleges, MBA can be completed within a range of 4 lakh , if you get shortlisted for scholarship or any other benificial program .
Woxsen University is considered a good choice for an MBA, offering strong industry connections, a modern curriculum, and a focus on entrepreneurship and leadership. However, it's important to consider factors like personal goals, location, and financial aspects before making a decision.
Hi aspirant,
IIM Ahmedabad is considered the best college for an MBA in India in terms of reputation and placement records, followed by IIM Bangalore and IIM Calcutta .
Few other highly reputed and prestigious institutions for an MBA in India include:
Top MBA Colleges in India 2025
You can refer to this link for more information on the same.
All the best!
Hii,
The best MBA colleges differ according to your interests, expertise, location, and money. Here are some of India's top MBA colleges, both government and private.
Indian Institute of Management (IIM) – Ahmedabad, Bangalore, Calcutta, Lucknow, etc.
Faculty of Management Studies (FMS), Delhi University
Indian Institute of Foreign Trade (IIFT), Delhi/Kolkata
National Institute of Industrial Engineering (NITIE), Mumbai
Indian Institute of Management Indore (IIM Indore)
Management Development Institute (MDI), Gurgaon
Indian Institute of Management (IIM) Kozhikode
XLRI Xavier School of Management, Jamshedpur
SP Jain Institute of Management and Research (SPJIMR), Mumbai
Indian School of Business (ISB), Hyderabad & Mohali
Symbiosis Institute of Business Management (SIBM), Pune
Jamnalal Bajaj Institute of Management Studies (JBIMS), Mumbai
Birla Institute of Management Technology (BIMTECH), Greater Noida
Lal Bahadur Shastri Institute of Management (LBSIM), Delhi
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