MBA in Data Science: Admission, Fees, Syllabus, Top Colleges, Placement, Scope
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MBA in Data Science: Admission, Fees, Syllabus, Top Colleges, Placement, Scope

#MBA
Moksh DheriUpdated on 19 Sep 2025, 09:12 PM IST

MBA Data Science is a postgraduate degree programme in management. The course is divided into four semesters. It combines data science and technology for business decision-making. In India, around 5 colleges provide Data Science courses since it is a relatively new specialisation. It includes a mix of business-related subjects, a thesis and a project. Core subjects like Accounting, Finance, Business Analytics, Data Mining, and Artificial Intelligence are included in the course curriculum. While offline MBA in Data Science courses are relatively fewer in India, candidates also have the opportunity to pursue an online MBA in Data Science from top Indian universities.

This Story also Contains

  1. MBA Data Science Course- Highlights
  2. MBA in Data Science Eligibility Criteria
  3. MBA Data Science Admission Procedure
  4. Top MBA Data Science Entrance Exam
  5. MBA Data Science Cutoff for Top Colleges
  6. MBA in Data Science Syllabus
  7. MBA Data Science Fee Structure
  8. Scope of MBA in Data Science
  9. Career Opportunities after MBA in Data Science
  10. Top Private MBA Colleges in Data Science in India

MBA Data Science Important Dates and Events

MBA Data Science Course- Highlights

An MBA in Data Science equips students with both managerial expertise and advanced analytical skills. The programme is designed to meet the growing demand for data-driven decision-makers in industries such as finance, healthcare, and IT. Graduates can expect lucrative roles in analytics and leadership. Below are key highlights, including job roles, average salary, and duration.

ParticularsValues

Degree Name

MBA in Data Science

Degree Type

Postgraduate

MBA Data Science Course Duration

Two years

MBA Data Science Entrance Exams

CAT, CMAT, XAT, MAT, SNAP

MBA Data Science Eligibility Criteria

Bachelor’s degree in any

MBA Data Science Admission Process

Entrance test

MBA Data Science Average Fees

Rs. 85,500 to Rs. 15.56 Lakhs

MBA Data Science Average Salary

Rs. 15.5 LPA (Data Scientist)

MBA Data Science Job Profiles

Data Scientists, Business Analysts, Data Analysts, Product Managers

MBA Data Science Top Recruiters

Amazon, Deloitte, MuSigma, Flipkart, IBM, Accenture

MBA in Data Science Eligibility Criteria

Eligibility criteria for an MBA in Data Science may vary by institution, but most colleges follow a similar framework. These requirements ensure that candidates have the academic foundation and analytical aptitude necessary for the programme. The table below highlights the standard eligibility criteria for this course.

ParticularsEligibility Parameters

Educational Qualification

Bachelor’s degree in Management, Engineering, Mathematics, Computer Science, or a related field

Minimum Aggregate Score

50 per cent aggregate score

Entrance Exams

CAT, XAT, CMAT, SNAP, MAT

Work Experience

Preferred (minimum one year), though not mandatory

MBA Data Science Admission Procedure

The MBA Data Science admission process is determined by the governing body or the college's affiliation. It involves an entrance examination as a primary basis for admission. Below, we have listed the admission procedure for the MBA in Data Science as required by colleges.

  • After fulfilling the eligibility requirements, students can apply for admission.
  • Students should fill out the online application form available on the website of the institute.
  • They can also apply for entrance exams directly.
  • Shortlisted candidates are required to appear for the counselling session and choose the college based on their cutoff score.
  • Some colleges may conduct personal interviews, group discussions and aptitude tests to further select the deserving candidates.
  • Once candidates have selected the college, they should pay the course fees and submit the required documents to confirm their seat.
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Top MBA Data Science Entrance Exam

There are a limited number of colleges in India that offer MBA in Data Science courses, and each of them typically requires candidates to take an entrance exam for admission. These entrance exams serve as a gateway to some of the country's leading management institutions. In the table, we have listed the popular entrance examinations.

Exam NameConducting BodyExam Pattern

CAT

Indian Institute of Management Lucknow

CAT Exam Pattern

MAT

All India Management Association (AIMA)

MAT Exam Pattern

CMAT

National Testing Agency

CMAT Exam Pattern

XAT

Xavier School of Management

XAT Exam Pattern

NMAT

Graduate Management Admission Council

NMAT Exam Pattern

MBA Data Science Cutoff for Top Colleges

The cutoff is the minimum score required by colleges for admission. Most of the leading management institutes consider the entrance exam scores for admissions. The cutoff for a college may vary every year. It depends on various factors such as the difficulty level of the examination, the number of applicants, the total seat intake and the prestige and stature of the institute.

MBA in Data Science Syllabus

The course curriculum of MBA Data Science combines both theoretical concepts and practical applications. It also includes a thesis or project component in the final year of the programme. The syllabus of an MBA in Data Science course may vary depending on the college, but the core subjects are very similar. In this section, we have provided the syllabus of Jain University, Bangalore.

MBA in Data Science First Year Syllabus

The first year of the MBA in Data Science lays the groundwork in economics, management, analytics, and essential programming tools. Students gain analytical and managerial competencies, preparing them for advanced data-driven decision-making. This phase builds a solid foundation for understanding complex data systems and applying them in business environments.

Semester 1Semester 2

Principles of Economics & Markets

Entrepreneurship

Organisational Behaviour and Human Resources Management

Statistics for Decision-Making

Managerial Effectiveness & Ethics

Marketing Management & Research

Quantitative Techniques & Analytics

Business Analytics

Accounting & Finance

Python for Data Science

MBA in Data Science Second Year Syllabus

The second year focuses on specialised analytics subjects like AI, data mining, and machine learning. Students apply their knowledge through projects and electives, gaining real-world problem-solving experience. These advanced courses prepare them for roles in data science and business strategy, making them industry-ready for analytical and decision-support positions.

Semester 3Semester 4

Business Environment & Strategy

Data Mining

Operations Management

Text Mining

Data Visualisation

AI for Business

SQL for Data Science

Web & Social Media Analytics

Predictive Analytics Using Machine Learning

Cross-Functional Elective Course

Open Elective Course

Master's Thesis / Project

MBA Data Science Fee Structure

The fee structure of an MBA in Data Science depends on various factors. Private colleges often charge higher fees as compared to government institutions. The placement facilities and the location of the college also influence the fee. It generally ranges from Rs. 85,000 to Rs. 15.56 Lakhs, depending on the institute.

Scope of MBA in Data Science

The field of data science is dynamic and offers a promising future. It also provides candidates with opportunities for global exposure. Data Scientists can work at start-ups, private and government agencies, MNCs and research institutions. Graduates can explore opportunities in data analysis, leadership, business strategy, and management-related roles.

Due to the continuous growth of data-driven industries and the interdisciplinary nature of the work, the scope of Data Science is also rising. Students can contribute to finance, healthcare, e-commerce, and marketing. Candidates can also choose to pursue a PhD if they are inclined towards research and aspire to become academicians.

Career Opportunities after MBA in Data Science

An MBA in Data Science provides students with knowledge of both management and technology. Therefore, candidates can expect a range of career opportunities. In recent times, there have been a lot of advancements in the data science industry, which will increase the chances of getting a good job. Popular job roles available after graduation are mentioned below.

Job ProfilesDescriptionAverage Salary (LPA)

Data Scientists

Data scientists are professionals who are responsible for collecting, cleaning, and analysing data to derive insights and build predictive models. They play a crucial role in making data-driven decisions within an organisation.

Rs. 15.5 LPA

Data Analysts

Data analysts are specialists who focus on examining data to identify trends, create visualisations, and generate reports to help organisations make informed decisions. They often work with data scientists to deliver actionable insights.

Rs. 6.8 LPA

Business Analysts

Business analysts apply data to assess and improve business processes, strategies, and operations. They work closely with different departments to enhance efficiency and profitability.

Rs. 10.3 LPA

Product Managers

Product managers use data insights to make informed decisions about product development and strategy. They work to enhance the user experience and drive product success.

Rs. 22.2 LPA

Project Managers

Project managers with expertise in data science oversee data-related projects within organisations. They ensure the successful execution and implementation of all projects.


Rs. 17.6 LPA

Salary Source: AmbitionBox

Top Recruiters

  • Fractal Analytics
  • Amazon
  • LinkedIn
  • Accenture
  • Myntra
  • IBM
  • Flipkart
  • Accenture
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Benefits of Studying MBA in Data Science

With digitalisation, the scope of data science has also increased, and many universities are trying to include the course because of its growing importance in recent times. Data Science has become the most sought-after career choice. Data Scientists are required in almost every industry to help analyse large amounts of data.

MBA Data Science benefits from job opportunities in business, management, and data science-related fields. Graduates are also offered competitive salaries due to their specialised skill sets and the value they bring to organisations. After graduation, students can also apply for a PhD if they are interested in research.

Top Private MBA Colleges in Data Science in India

Many private colleges in India offer an MBA in Data Science. They provide good placement facilities and other amenities for the comfort and convenience of the student. In the table mentioned below, we have provided information on the leading government institutes, along with their fees.

Top CollegesFees

KL University Guntur

Rs. 85,500

Manipal University, Jaipur

Rs. 1.75 Lakhs

PES University, Bangalore

Rs. 8 Lakhs

Jain Deemed to be University, Bangalore

Rs. 2.40 Lakhs

SCIT Pune

Rs. 14.56 Lakhs

NIMS University, Jaipur

Rs. 4 Lakhs

IILM University, Gurugram

Rs. 10.80 Lakhs

An MBA in Data Science prepares students with a combination of business insight and analytical skills, making them valuable investments in data-driven industries. It offers excellent career opportunities across sectors like finance, healthcare, and technology.

Frequently Asked Questions (FAQs)

Q: What are the MBA Data Science entrance exams in India?
A:

Common entrance exams for MBA Data Science programmes in India include CAT, GMAT, CMAT, and MAT.

Q: How can I find the best MBA in Data Science programme for me?
A:

Candidates can compare curriculum, faculty, and facilities, and look for reviews and rankings to find the course that aligns with their goals and preferences.

Q: Is it better to pursue a general MBA or a specialised MBA in Data Science?
A:

The choice depends on the candidate’s career goals. A specialised Data Science MBA programme is beneficial if a candidate wants to focus on data-related roles.

Q: What is the difference between an MBA in Data Science and a traditional MBA?
A:

An MBA in Data Science includes a strong focus on data analytics and data-driven decision-making, which is not as prominent in a traditional MBA.

Q: Are there online MBA Data Science courses available?
A:

Yes, many universities offer online MBA in Data Science programmes, making it convenient for working professionals to pursue the degree.

Q: What is the salary of a data scientist MBA?
A:

Salary can vary based on factors like experience and location, but graduates often receive competitive salaries due to their specialised skill set. The average MBA Data Science salary is Rs. 9.34 LPA.

Q: What is an MBA in Data Science?
A:

An MBA in Data Science is a postgraduate programme that combines business management education with a focus on data analytics and data-driven decision-making.

Q: Do I need to have a background in data science or programming to pursue this degree?
A:

While a background in data science or programming is helpful, it is not mandatory. MBA Data Science courses are designed to accommodate students from diverse academic backgrounds.

Q: What career opportunities are available after completing an MBA in Data Science?
A:

Graduates can pursue careers as data scientists, data analysts, business analysts, consultants, and managers in various industries.

Q: What are the prerequisites for a Data Science MBA course?
A:

Prerequisites may vary, but generally, a bachelor's degree from a recognised university is required. Some colleges also require relevant work experience.

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Questions related to MBA

On Question asked by student community

Have a question related to MBA ?

Hello aspirant,

Here below I am providing you with the name of some of the best MBA colleges in Hyderabad:

  • Institute of Management Technology, Hyderabad
  • The Indian School of Business
  • The ICFAI Business School Hyderabad
  • Woxsen University
  • The Institute of Public Enterprise
  • GITAM Hyderabad Business School

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 !