K J Somaiya Institute of Management MBA Admissions 2026
Highest Package 27.25 LPA | Top 100 Average package 16.65 LPA | AACSB Accredited | Ranked 52 by QS International
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 Package 27.25 LPA | Top 100 Average package 16.65 LPA | AACSB Accredited | Ranked 52 by QS International
Offers full-time PGP in International Master in business (IMB) Equivalent to MBA under following specializations Marketing, HR, Operations, and many more
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 |
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.
Frequently Asked Questions (FAQs)
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.
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.
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.
Yes, entrance examinations like CAT, MAT are required for admission into MBA in Data Science and Artificial Intelligence.
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.
On Question asked by student community
Hello aspirant,
Here below I am providing you with the name of some of the best MBA colleges in Hyderabad:
To know about more colleges, you can visit our site through following link:
https://bschool.careers360.com/colleges/list-of-mba-colleges-in-hyderabad
Thank you
Hello,
Here are some top MBA colleges in India with fees under Rs. 2 lakh and their exam/cutoff details:
SIMSREE, Mumbai – Fee around Rs. 1.3–1.4 lakh for 2 years. Accepts CAT, CMAT, MAH-CET, MAT, ATMA. Cutoff is very high, usually 99+ percentile in CAT/CMAT.
PUMBA (Dept. of Management Sciences, Savitribai Phule Pune University) – Fee around Rs. 1.2–1.3 lakh. Accepts CAT, CMAT, MAH-CET, ATMA. Cutoff approx. 75+ percentile in CAT, 90–95+ percentile in CMAT, high scores in MAH-CET.
TISS, Mumbai (MA HRM & other management-related programmes) – Fee around Rs. 1.7–1.9 lakh. Accepts CAT for some courses. Qualifying cutoff is around 60–70 percentile, but final selection cutoffs are higher.
These are the main government institutes where the full MBA/PG programme fee is within Rs. 2 lakh. Cutoffs vary slightly each year and by category, but SIMSREE and PUMBA generally need high scores, while TISS has its own process along with CAT shortlisting.
Hope it helps !
Yes, MBA in FinTech is a good option if you are interested in the combination of finance and technology. After this course you can work in roles like FinTech product manager, financial analyst, blockchain/crypto specialist, risk & compliance manager, or business development manager in banks, startups, and financial companies.
For the salary part, freshers usually start with around 5–10 LPA in normal companies and in bigger FinTech firms or banks it can even go up to 10–15 LPA, depending on your skills, college, and location.
If you do Data Science and then an MBA in Finance, you can get many high-paying jobs. Some of the best options are:
1. CFO (Chief Financial Officer) – You manage a company’s finances, budgeting, and reports. Big companies pay 40 lakh to 1 crore per year.
2. Investment Banker – You help clients raise money and do mergers or acquisitions. Salaries start around 10–12 lakh for freshers and can go up to 30 lakh or more with experience.
3. Chief Data Officer – You lead data strategies in companies. Pay can be 80 lakh to 1.3 crore per year.
4. Machine Learning Engineer / AI Scientist – You create AI and ML models. Salary is around 35–42 lakh per year.
5. Product Manager – You manage product strategy and market positioning. Can earn 89 lakh to 1.1 crore per year in big tech companies.
6. Financial Actuary – You analyze financial risks. Pay is around 25–30 lakh per year.
Hello,
If you have made a mistake while entering your education details in KEA PGCET MBA option entry, you cannot edit it directly once it is submitted. You need to contact KEA immediately.
You can:
Call the KEA helpline numbers.
Or visit the KEA office with your documents.
They will guide you on how to correct the mistake. Do it quickly, as corrections are allowed only within the given time.
Hope it helps !
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