MBA in Data Analytics: Course Fees, Admission 2025, Syllabus, Top Colleges, Career Scope

Pallavi Priyadarshini PandaContent Writer
MBA in Data Analytics is a Postgraduate degree that combines business administration principles with advanced data analysis techniques. MBA in Data Analytics is an MBA Specialization that is designed to equip students with the skills needed to interpret and leverage data for strategic decision-making in various business contexts. With a strong emphasis on both practical experience and theoretical understanding, MBA in DA program prepares professionals to meet the challenges of the evolving business industry, meet the demand, and drive business success through informed data insights.
Key Features of MBA in Data Analytics:
- MBA DA Full Form: Master of Business Administration in Data Analytics
- Course Duration: 2 years (Postgraduate Program)
- Eligibility: Graduation with 50% or above in PCM, Economics, or Statistics
- Admission: Through Entrance Exams – CAT, XAT, SNAP, NMAT, MAT
- Course Focus: Combines business strategy with data interpretation, analytics tools, and decision-making
- Skills Taught: Data mining, Predictive Analytics, Business Intelligence, Visualization, Statistical Modelling
- Top Colleges: Amity University, SCIT (Symbiosis), SAGE University, Bhopal
- Course Fees:-
- MBA in Data Analytics Fees for Govt. Colleges: INR 3 Lakhs - INR 10 Lakhs (approx.)
- MBA in Data Analytics Fees for Pvt. Colleges: INR 5 Lakhs - 15 Lakhs (approx.)
- Career Paths: Data Analyst, Business Analyst, Marketing Analyst, Operations Analyst, Chief Data Officer (CDO)
- Top Recruiters: McKinsey & Company, Deloitte, Alibaba, and others
- Average Salary Range: INR 5 - 48 LPA
MBA in Data Analytics Course Latest Updates:
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The XAT registration process 2026 is now open for MBA/PGDM courses. The last date to register is Dec 5, 2025. Furthermore, the XAT 2026 exam will be held on January 4, 2026.
- The final merit list of MAH MBA CET 2025 will be released on Jul 17, 2025.
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The ATMA July 2025 registration is open for admission to MBA/MMS/PGDM courses, and the last date to register is Jul 15, 2025. In addition, the ATMA July 2025 exam will be held on Jul 27, 2025.
- The KMAT Karnataka 2025 exam is expected to be held in the third week of Sept 2025.
MBA in Data Analytics Course Details: Highlights
The MBA in Data Analytics is a specialized 2-year postgraduate program to prepare graduates for the industry that offers a distinctive combination of business and data expertise, positioning you for leadership roles in a rapidly evolving industry.
The below table indicates the MBA in Data Analytics Course details:
Particulars |
Course Details |
---|---|
MBA in Data Analytics Full Form |
Master of Business Administration in Data Analytics |
MBA in Data Analytics Course Duration |
Full-time MBA in Data Analytics: 2 years |
MBA in Data Analytics Course Level |
Post Graduation |
MBA in Data Analytics Course Fees |
INR 2 Lakh - INR 15 Lakh and above |
MBA in Data Analytics Courses Admission Process |
Entrance Exam + Group Discussion + Personal Interview |
MBA in Data Analytics Course Eligibility Criteria |
Undergraduate Degree Programme |
MBA in Data Analytics Entrance Exams |
CAT, SNAP, XAT, MAT, etc. |
MBA Data Analytics Top Colleges |
Amity University, Symbiosis Centre for Information Technology (SCIT), SAGE University Bhopal, etc. |
MBA in Data Analytics Jobs |
Data Analyst, Business Analyst, Marketing Analyst, Operations Analyst, Chief Data Officer (CDO), etc. |
Note: This information is sourced from different sources and may vary.
Suggested Read for MBA in Data Analytics Courses:
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Graduates typically analyze data to derive insights, inform strategic decisions and drive business improvements. They may work in roles such as data analysts, business analysts or managers overseeing analytics projects.
Choosing an MBA in Data Analytics offers a very good combination of business and data expertise which helps in positioning you for leadership roles in a rapidly evolving industry. It provides the skills, knowledge and connections needed to advance your career at the intersection of business and technology.
Here are advantages of choosing an MBA in Data Analytics:
- High Demand: Businesses increasingly rely on data to drive decisions creating a strong demand for professionals skilled in data analysis.
- Career Advancement: An MBA can open doors to leadership positions helping you transition into roles like data strategist, analytics manager or chief data officer.
- Innovation and Problem Solving: You'll learn to leverage data to tackle complex business challenges and drive innovation.
- Lucrative Salaries: Data analytics roles often come with competitive compensation reflecting the skill's value in today's job market.
Yes, an MBA in Data Analytics can be worth it, especially if you’re looking to advance your career into leadership roles. The degree provides valuable skills that are in high demand potentially leading to higher salaries and better job opportunities.
MBA in Data Analytics Course typically spans 1-2 years, depending on whether it is pursued full-time Course, Part-Time MBA in Data Analytics, or MBA in Data Analytics Online Courses. Accelerated programs may take 12-18 months.
- MBA in Data Analytics Eligibility Criteria and Admission
- MBA in Data Analytics Entrance Exam 2025
- MBA in Data Analytics Syllabus
- MBA in Data Analytics Best Colleges in India
- Popular Private MBA in Data Analytics Colleges in India
- MBA in Data Analytics Career: Scope, Job Profiles, Salary, Top Recruiters
- MBA in Data Analytics Course FAQs
- Most Popular Courses
- Popular MBA in Data Analytics Specializations
MBA in Data Analytics Eligibility Criteria and Admission
The eligibility criteria for an MBA in Data Analytics are designed to ensure that candidates have the academic foundation, relevant experience, and potential to succeed in the program.
Here are the details about the eligibility to take admission in MBA in Data Analytics:
Particulars |
Details |
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MBA in Data Analytics Academic Qualifications |
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MBA in Data Analytics Marks Criteria |
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MBA in Data Analytics Age Limit |
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Note: This information is sourced from the institute's official website and may vary.
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MBA in Data Analytics Admission 2025
Here is the general step-by-step guide for Admission to MBA in Data Analytics Course:
- Step-1 Choose the program:
First research and look for universities or colleges that offer MBA in Data Analytics. Don't forget to review the curriculum, specializations, faculty, and facilities after that, check academic qualifications, entrance exam requirements, and any additional criteria.
- Step-2 Prepare Required Documents:
Prepare all the documents beforehand so that no last-minute issues occur. The documents include academic mark sheets, certificates, Standardized Test Scores (CAT, MAT, etc), and letters of recommendation.
- Step-3 Fill out the Application Form and Pay the Fees:
Complete the application form provided by the institution. This may be done online or on paper, and pay any required application fees.
- Step-4 Entrance Exams (if applicable):
If the program requires an entrance exam, such as a common MBA entrance test or a specific university's test, register and prepare for it. Take the exam then wait for the result.
- Step-5 Submit Application:
Submit all required documents along with the completed application form. Always ensure that all documents have been received and verify the status of your application.
- Step-6 Interview (if applicable):
Some programs require a personal or virtual interview. Attend it and demonstrate your motivation, skills, and suitability for the program.
- Step-7 Await Admission Decision:
Monitor the admission portal or your email for updates on the results. If accepted, an official offer letter will be provided by the university.
- Step-8 Confirm Enrollment:
Confirm your intention to enroll in the program and pay the required enrollment or tuition Fees.
- Step-9 Prepare for the Start of Classes:
Follow the instructions for course registration and orientation. If needed, arrange for on-campus or off-campus housing and attend any orientation sessions to familiarize yourself with the campus and program.
- Step-10 Start Classes:
Attend classes and start your academic journey.
Note: Be sure to check the specific requirements and deadlines for each program as they can vary. Some programs may also have additional steps or unique requirements.
While a background in coding can be beneficial, it is not strictly necessary. Many programs are designed to accommodate students from various backgrounds. Basic familiarity with data analysis tools and concepts is helpful but most courses provide foundational knowledge in analytics tools and programming languages.
Eligibility to pursue MBA in Data Analytics typically includes holding a bachelor's degree from an accredited institution with a background in maths, science, statistics. Some programs may also require relevant work experience or GMAT/GRE scores, but requirements vary by institution.
Hi, you can pursue the following Data Analytics courses:
- BTech in Data Analytics
- MBA in Data Analytics
- BCA in Data Analytics
- MTech in Data Analytics
- BBA in Data Analytics
- MCA in Data Analytics
- BA in Data Analytics
- BVoc in Data Analytics
- BCom in Data Analytics
Hope this helps!
Yes, candidates can pursue an MBA in Data Analytics without having a degree in BBA Data Analytics. MBA in Data Analytics programs often accept students from various undergraduate backgrounds, including Engineering, Science, Art, and more. While a BBA in Data Analytics might provide a foundational understanding of concepts, it's not a strict requirement for admission into an MBA in Data Analytics program.
MBA in Data Analytics Entrance Exam 2025
The admission process for MBA Data Analytics courses is the same as MBA/PGDM programs as this specialization is offered in the MBA course. Most of the colleges for MBA in Data Analytics admit students based on entrance exam scores, group discussions, and personal interviews.
Relevant Links for MBA Courses:
Top MBA Entrance Exams 2025: Check Exam Dates & Last Date to Apply!
Important Exam Dates
Dates | Upcoming Exam Dates |
---|---|
30 Jun ' 25 - 15 Jul ' 25 | MAH MBA CAP 2025 Documents verification |
15 Jul ' 25 - 18 Jul ' 25 | TANCET Grievances Redressal for Rank List ONGOING |
18 Jul ' 25 | MAH MBA CAP 2025 provisional merit list release |
19 Jul ' 25 - 21 Jul ' 25 | MAH MBA CAP 2025 Submission of grievances |
20 Jul ' 25 | MAT CBT July 2025 |
21 Jul ' 25 | TANCET counselling for Differently Abled |
22 Jul ' 25 | SHIATS Entrance Exam 2025 Merit- I Offline Counselling |
Dates | Past Exam Dates |
---|---|
21 Jun ' 25 | TGICET Preliminary Answer Key Publication |
21 Jun ' 25 - 26 Jun ' 25 | TGICET Answer Key Objection Facility |
08 Jun ' 25 - 09 Jun ' 25 | TGICET 2025 Exam Date |
Aug '25 - Sep '25 | CAT 2025 registration TENTATIVE |
Sep '25 | CAT 2025 form correction process TENTATIVE |
30 Jun ' 25 - 15 Jul ' 25 | MAH MBA CAP 2025 Documents verification |
18 Jul ' 25 | MAH MBA CAP 2025 provisional merit list release |
17 Jul ' 25 | MAT CBT July 2025 admit card |
20 Jul ' 25 | MAT CBT July 2025 |
10 Jul ' 25 | Special OJEE admit card 2025 release |
8 Jul ' 25 | OJEE Counselling Registration 2025 Last Date (MBA... |
MAT exam is conducted for admission to MBA and PGDM or PGP programmes offered by over 800 B-Schools in India. The exam is conducted multiple times in four phases - February, May, September and December. It is conducted by the All India Management Association (AIMA). Candidates can appear for the MAT exam in any session any number of times. The score of the latest attempt will be taken into consideration for MBA Admission.
There are three modes to MAT. Computer Based Test (CBT), Paper Based Test (PBT) and Internet Based Test (IBT). In every exam phase, MAT CBT and PBT are conducted once, and IBT is conducted 3-5 times.
Yes, CMAT is much easier that CAT exam. Despite the fact that CMAT and CAT syllabus are same and that CMAT has two more sections than CAT the former is much easier than the latter. The CAT exam is usually of moderate to high difficulty level, whereas the CMAT exam is of easy to moderate difficulty level.
There are key differences between CMAT and CAT which make the former easier. There is no sectional time limit in CMAT so candidates do not face the pressure of completing a given section within certain time limit. In CAT there are 4-5 Reading Comprehension passages which are 500-600 words, and 12-14 question.
In CMAT there is usually, only one Reading Comprehension passage, having 4 questions. The Quantitative Aptitude questions of CMAT are also easier than CAT and so are Logical Reasoning and Data Interpretation questions. It is easier to score high percentile in CMAT as the number of applicants is more than one Lacs less in CAT.
CMAT has five sections - Quantitative Techniques and Data Interpretation, Logical Reasoning, Language Comprehension, General Awareness and Innovation & Entrepreneurship. Important topics of CMAT across all the five sections are listed below:
- Quantitative Techniques and Data Interpretation: Time-speed-distance, Ratio-Proportion, Profit and Loss, SICI, Average, Partnership, Triangles Probability Surds, HCF-LCM, Quad equations, Quad inequality, Graphs, Tables, Bar, Pie Chart.
- Logical Reasoning: Family Tree, Analytical Reasoning, Linear Arrangements, Number Series, Matrix Arrangements, Blood Relationship Tests, Coding-Decoding, etc.
- Language Comprehension: Synonym, Antonym, Fill in the Blanks, Idioms, Match the Following, Reading Comprehension, Identify the Correct Statement, Direct/Indirect Speech, Classify the Sentence, Question Tag, Parajumble.
- General Awareness: Economy, Business, World, Politics, Sports, Culture, Society 5. Innovation & Entrepreneurship: Concepts of Entrepreneurship, Overview of Entrepreneurship, Evolution of Entrepreneurship in India, Role of Entrepreneurship in Economic Development, Theories and Models of Entrepreneurship, Framework of Entrepreneurship Theories, Models of Entrepreneurship, Emerging Models of Corporate Entrepreneurship, Dimensions of Entrepreneurship, Entrepreneurial Society, Entrepreneurial Culture, Rural Entrepreneurship, etc.
The CAT (Common Admission Test) is a highly competitive entrance exam for admission to various management programs offered by top business schools in India. The percentile score in CAT exam is based on the relative performance of the test taker compared to all the other test takers.
The cutoff percentile for admission to top business schools varies from year to year and also depends on factors such as the number of candidates, difficulty level of the exam, and the number of available seats. In general, a percentile score of 90 or above is considered a good score and can help you secure admission to some of the top business schools in India. However, to increase your chances of admission to the top-tier business schools, a percentile score of 95 or above is preferred. For IIMs, one needs to definitely have CAT percentile in the range of 97 to 99+ percentile.
The AIMS Test for Management Admissions (ATMA) is a national-level entrance exam in India that is conducted by the Association of Indian Management Schools (AIMS). ATMA is specifically designed for admissions into various postgraduate management programmes, including Master of Business Administration (MBA), Post Graduate Diploma in Management (PGDM), and similar programmes.
The exam assesses a candidate's aptitude and skills in various areas that are essential for success in management studies. The scope of the ATMA exam is broad, covering a range of skills and knowledge areas that are relevant to management education. It is meant to gauge a candidate's readiness for postgraduate management studies and their ability to excel in a business school environment.
ATMA scores are accepted by a variety of business schools and management institutes across India, making it a valuable exam for candidates seeking admission to MBA and related programmes. However, it's essential to check the specific admission criteria and cutoff scores of the institutions you are interested in, as requirements may vary from one school to another.
MBA in Data Analytics Syllabus
You should become familiar with the many facets of a Data Analytics Syllabus before applying to an MBA Colleges in India. The MBA in Data Analytics specialty program teaches candidates the following subjects in addition to the MBA core subject:
MBA in Data Analytics Syllabus - Semester I |
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---|---|---|
Fundamentals of Business Statistics |
Understanding Data Management and Preparation |
Financial Management |
MBA in Data Analytics Subjects - Semester II |
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Business Legal Aspects |
Strategic Management |
Operations Management |
MBA Data Analytics Syllabus - Semester III |
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Machine Learning |
Business Intelligence |
Design and Analysis of Algorithms |
MBA Data Analytics Subjects - Semester IV |
||
SAS and Hadoop Programming |
Big Data Analytics |
Project |
Note: This information is sourced from the official website of the institute and may vary.
Relevant Links for MBA Course:
How to get Admission into MBA Program?
Like any graduate program, a Master's in Data Analytics can be challenging requiring dedication and effort. The difficulty often depends on your background in quantitative subjects and your willingness to engage with the material. However, many find it rewarding and manageable with the right preparation.
You should be good with statistics and analytics part. Apart from that no such requirements are required before joining.
MBA in Data Analytics is a 2 years post graduate Course that spans four semesters. During each semester, students study a variety of subjects related to management and business analytics. In the third semester, students are required to complete an internship. The Syllabus of MBA in Data Analytics includes:
- Strategic Management
- Operation Management
- Business Mathematics and Statistics
- Managerial Economics
- Managerial Communication
- Data Science
- R and Python
Following are the list of some skills that you need to excel in MBA in Data Analytics program:
- Analytical thinking and problem-solving skills
- Knowledge of programming languages like Python, R, or SQL
- Familiarity with data visualization tools like Tableau or Power BI
- Strong business acumen and communication skills
MBA in Data Analytics Best Colleges in India
India has several prestigious institutions offering specialized MBA programs in Data Analytics. These programs combine business management principles with industry-specific knowledge, preparing graduates for leadership roles. These institutions often provide a more tailored curriculum, emphasizing practical experience and industry connections. Here are some of the best MBA in Data Analytics Colleges you can consider enrolling yourself:
MBA in Data Analytics Colleges |
|
MBA Data Analytics Fees |
---|---|---|
Prestige Institute of Management and Research | MBA in Data Sciences and Data Analytics | INR 1.59 Lakh |
JECRC University | MBA in Data Analytics and Data Visualization | INR 3.72 Lakh |
Narayana Business School | PGDM in Data Science and Analytics | INR 9.85 Lakh |
Adani Institute of Digital Technology Management | PGDM in Big Data Analytics | INR 10 Lakh |
Asia-Pacific Institute of Management, New Delhi | PGDM in Big Data Analytics | INR 11.5 Lakh |
Amity International Business School (AIBS) | MBA in Business Intelligence and Data Analytics | INR 13.8 Lakh |
Goa Institute of Management | PGDM in Big Data Analytics | INR 19.4 Lakh |
GL Bajaj Institute of Management and Research | PGDM in Data Analytics | NA |
Note: This information is sourced from the official website of the institute/exam and may vary.
Relevant Links for MBA Data Analytics Courses:
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Yes, several reputable institutions offer specialised MBA programs in Pharmaceutical Management, including:
To study a Data Analyst course in Canada, international students have to meet the entry requirements of Canadian Universities. The minimum eligibility criteria for a postgraduate Data Analytics course is a Bachelor's degree with at least 50% marks in aggregate or equivalent preferably in Science or Computer Science from a recognised university. Students must submit the English language test score to meet the English Language proficiency.
Some of the best institutes for MBA in data analytics are mentioned below. These B-Schools are not ranked in totality but just a specific analytics course by them. Please find below top 10 b-schools in India for a course in data analytics.
- Great Lakes Institute of Management
- IIM Bangalore
- MISB Bocconi
- Praxis Business School
- Aegis School of Business
- Bridge School of Management
- SP Jain School of Global Management
- Narsee Monjee Institute of Management Studies
- IIM Ranchi
- IMT Ghaziabad
Yes, many MBA colleges in Delhi offer specialiations in emerging fields like Data Analytics or Digital Marketing. For example, institutions like Asia-Pacific Institute of Management, New Delhi, IILM Institute For Higher Education, New Delhi Institute of Management, Indian Institute of Digital Education, New Delhi, International Management Centre, etc. provide programmes tailored to current industry demands which include the above specialisations.
Popular Private MBA in Data Analytics Colleges in India
MBA in Data Analytics Career: Scope, Job Profiles, Salary, Top Recruiters
An MBA in Data Analytics offers a robust career path with diverse job roles and competitive salaries. The program equips graduates with both business and industry-specific knowledge, making them valuable assets to organizations that operate in these sectors.
As organizations continue to prioritize data-driven decision-making, the value of this skill set will likely continue to grow providing numerous opportunities for career advancement.
MBA in Data Analytics Salary
The career prospects of an MBA in Data Analytics is expanding at an enormous rate. The MBA in marketing is one of the most sought-after job opportunities in the world today. Following are the roles that are offered to a graduate with an MBA in Data Analytics:
Job Profile |
Job Description |
Average Salary |
---|---|---|
Data Analyst |
Analyzes data sets to identify trends and insights and often creates reports and visualizations. |
INR 2.9 LPA - INR 13 LPA |
Business Analyst |
Bridges the gap between IT and business and uses data to inform business strategies. |
INR 3 LPA - INR 17.7 LPA |
Data Scientist |
Employs advanced analytical techniques and algorithms to interpret complex data and solve business problems. |
INR 3.8 LPA - INR 28 LPA |
Analytics Manager |
Oversees data analysis projects and teams and are responsible for data strategy and implementation. |
INR 8.9 LPA - INR 45 LPA |
Marketing Analyst |
Analyzes marketing data to optimize campaigns and improve customer engagement. |
INR 4 LPA - INR 15 LPA |
Operations Analyst |
Uses data to enhance operational efficiency and effectiveness within an organization. |
INR 2.5 LPA - INR 8.7 LPA |
Chief Data Officer (CDO) |
Senior executive responsible for data governance and strategy across the organization. |
INR 10.2 LPA - INR 1.4 Crore |
Note: The salary data is sourced from AmbitionBox.com
MBA in Data Analytics Top Recruiters
After completing an MBA in Data Analytics, graduates can apply to several top recruiters and companies that are well-regarded in the industry. These companies typically look for MBA graduates to fill roles in management, strategy, marketing, operations, and business development. Here is a list of several top recruiters for MBA Data Analytics graduates:
Name of the Company |
|
---|---|
McKinsey & Company |
|
Deloitte |
JPMorgan Chase |
Johnson & Johnson |
Alibaba |
Microsoft |
AT&T |
Pfizer |
Boston Consulting Group (BCG) |
Amazon |
Walmart |
MBA Data Analytics links you might be interested in:
What is a Data Analyst? A Complete Guide to Becoming a Data Analyst
10 Best Data Analytics Courses and Certifications in 2025
Salaries can vary widely based on role and location but generally, positions can range from INR 6 LPA to 18+ LPA . Senior roles, like Chief Data Officer can command salaries above INR 25 LPA.
There are various career opportunities for the graduates of MBA in Data Analytics. Below is the list of some job opportunities:
- Data Analyst
- Data Scientist
- Chief Data Officer (CDO)
- Analytics Manager
- Business Analyst
- Marketing Analyst
- Operations Analyst
Graduates can find opportunities in a wide range of industries including:
- Finance
- Healthcare
- E-commerce
- Consulting
- Technology
- Retail
Below are the list of Industries that hire a MBA in Data Analytics Graduate:
- IT and Software Development
- E-commerce
- Banking and Financial Services
- Healthcare
- Manufacturing
- Retail
Yes, Data Analytics can be a good career in India. Data Analytics is in high demand right now accross many sectors like manufacturing, banking, finance, e-commerce, etc. Data Analytics offer extensive opportunities in various fields with salary ranging from INR 2 Lacs - INR 20 lakh. And as India, is significantly approaching data driven methods in various sectors, data analytics can prove to boost economic development and innovation.
Hope this answer proves beneficial to you!
MBA in Data Analytics Course FAQs
Here are some important Questions related to MBA in Data Analytics.
An MBA in Data Analytics focuses specifically on data analysis, statistical methods and data-driven decision-making while a general MBA covers broader business concepts without a specific emphasis on data. The specialised programme prepares graduates for the roles that requires strong analytical skills in addition to business acumen.
Data Science - The word describes a wide variety of information-gathering frameworks and techniques. Translated into more layman's terms. Data Science aims to discover patterns in raw data by using a wide variety of tools, machine-learning techniques, and algorithms.
Data Analytics - Productivity enhancement is the procedure for maximizing the financial advantage of a company. In this process, we analyze data Sets and infer meaning from the data they include. Different methods exist for extracting and organizing data to identify and analyse behavioural data, which is done based on the needs of the company. It was also referred to as " data analysis" on our end.
Business Analytics - It's the practice of using statistical methods to investigate collected data in order to extract useful information for commercial enterprises. Business, management, and IT are the three primary components. Business analytics are rising in popularity at a lightning-fast rate. This area of study seems to have a promising future.
While coding is helpful especially in advanced data analytics roles, it is not always necessary. Many tools (like Excel, Tableau, and others) allow you to perform data analysis without extensive coding knowledge.
Business intelligence addresses ongoing operations, helping businesses and departments meet organizational goals. Data analytics can help companies that want to transform the way they do business. Both disciplines can benefit from a little data preparation. And Data analytics is raw data is collected, cleansed, categorized, converted, aggregated, validated, and otherwise transformed. Clean data is also helpful for BI.
Finance is one of the top five specializations while pursuing MBA. Data Analytics is also a good field but as of now, not a lot top colleges offer this course. If you're really serious in making a career in the finance world, opt for Finance. Else you can choose Data Analytics.
For MBA in Data Analytics, you can go for the following colleges:
- Massachusetts Institute of Technology (Sloan)
- Carnegie Mellon University (Tepper)
- Georgia Institute of Technology (Scheller)
- University of Pennsylvania (Wharton)
- New York University (Stern)
- The University of California, Berkeley (Haas). .
This is an age of data analytics to discover business knowledge in org databases and data warehouses to have competitive advantage. DA is extensively used by finance specialists. Thus, it is a good idea to learn DA.
A career as a Data Analyst seems quite promising owing to the high concentration of analytics in India. After an MBA in Data Analytics course, a professional can expect high growth, better job opportunities, and improved on-job skills.
MBA in Data Analytics focuses on combining analytics with management and business strategy. Whereas, MS in Data Analytics is more technical, emphasizing programming, algorithms, and advanced analytics techniques.
Hi, it can be observed that on average equal number of colleges offer different fee category for students as you can refer below.
Total Fee | No. of Colleges | Popular Colleges |
---|---|---|
Free | 10+ | Coursera, Great Learning, Accenture, etc. |
< INR 1 lakh | 90+ | JECRC University, Coursera, Great Learning, etc. |
INR 1-2 lakh | 40+ | Galgotias University, IUL, NIT Trichy, etc. |
INR 2-3 lakh | 40+ | Women's Christian College, Galgotias University, Rathinam College of Arts and Science, etc. |
INR 3-5 lakh | 40+ | MIT-WPU, Presidency College, T. John Group of Institutions, etc. |
> INR 5 lakh | 50+ | Amity University, Jain Deemed-to-be University, Galgotias University, etc. |
Hope this helps you!
MBA in data analytics is a rare course in India. Basically, it deals with data mining and organisation. Large companies will have truckloads of data that has to be managed accordingly in order to carry forward the business operations. This is the job that people with a degree in data analytics do. It basically deals with programming languages such as R, Python etc. The fee structure will vary between 5 and 10 Lacs.
All the best.
Data analytics involves analyzing datasets to uncover trends and insights that are subsequently used to make informed organizational decisions. Business analytics is focused on analyzing various types of information to make practical, data-driven business decisions, and implementing changes based on those decisions.
You need to study with a well-thought-out plan if you want to succeed on the XAT management exam. The following are some advice from experts on how to make a plan to prepare for the XAT:
- Make a list of the topics that need to be covered by the preparation materials using the XAT syllabus.
- Schedule your study time on a monthly, weekly, and daily basis.
- Focus on the subjects that receive the most questions, taking into account the time you have available.
- You can join online study groups or look for a mentor to help you with your at-home preparation.
- Set a time limit for each section to allow for comprehensive planning.
- Start reading editorials in newspapers and magazines for reading comprehension.
- Review the mathematical formulas and concepts from classes 9 and 10 for the quant section.
- Spend the last month studying for mock XAT exams and evaluating your progress.
Visit this link to access the section-by-section plan provided by the expert: https://www.shiksha.com/mba/xat-exam-preparation.
ATMA result is usually released within a week from the exam. ATMA result for the June exam was released on June 7, 2025. The July session result will be released on August 2, 2025. The February 2025 exam result was released on February 22, 2025.
ATMA result 2024 for the December session was released on December 31, 2024, after being delayed. Earlier, the result was expected to be released on December 28, 2024. The July session ATMA exam result 2024 was released on August 7, 2024. AIMS releases the ATMA result cum scorecards online on the official website of ATMA AIMS, i.e. atmaaims.com.
Candidates who appeared for the ATMA July exam, can login on the official website and download the scorecards.
Data Analytics specialisation in MBA is rare in Kolkata. Instead, opt for offline courses from local institutes or online platforms like Coursera, edX, or Coding Ninjas for flexible, industry-recognized training.
For B.Tech in Computer Science and Engineering (Data Analytics) in the Delhi/NCR or Patna region, here are some of the best colleges you can consider:
Delhi/NCR:
Indian Institute of Technology Delhi (IIT Delhi)
- One of the top engineering institutes in India, offering excellent placements and resources for Data Analytics.
Delhi Technological University (DTU)
- Known for its strong computer Science department, DTU offers a good focus on data Science and analytics.
Netaji Subhas University of Technology (NSUT)
- Offers a well-structured CSE programme with specialisation in Data Analytics, and has good placement records.
Amity University, Noida
- A private university with a strong focus on research and industry collaborations, offering a specialisation in Data Analytics.
Indraprastha Institute of Information Technology (IIIT Delhi)
- Offers specialised courses in Data Analytics and is known for its rigorous curriculum and research opportunities.
Patna:
National Institute of Technology (NIT) Patna
- NIT Patna is one of the best colleges in Patna for engineering and offers good opportunities in CSE with a focus on data Science and analytics.
Patna University (PU)
- Though not as renowned as the other institutes, Patna University offers undergraduate programs with opportunities to explore data analytics.
Magadh University
- Offers engineering programs with opportunities to pursue data analytics in computer Science fields.
An MBA in Data Analytics equips you with both technical and managerial skills enhancing your ability to interpret data and make strategic decisions. This combination prepares you for leadership roles increases your employability and positions you for promotions in data-driven organizations.
If you're interested in business decision-making and leadership roles then an MBA in Data Analytics is better. If you prefer coding, statistics, and machine learning, an MSc in Data Science is a better option for you.
There are various tools that and software that you will learn during the course which are mentioned below:
- Data Analytics Tools: Python, R, SAS
- Database Management: SQL, NoSQL
- Big Data & Cloud Computing: Hadoop, Apache Spark, AWS
- Machine Learning & AI: TensorFlow, Scikit-Learn
- Data Visualization: Tableau, Power BI
- Business Intelligence (BI) Tools: Google Analytics, Excel
Knowing these tools increases your job prospects and makes you a valuable candidate in the job market.
MAH MBA CET is a moderately difficult exam. It’s difficulty level is lower than CAT but higher than MAT or ATMA. A major factor that makes MAH CET a difficult test to crack is that the questions are presented in random order and sectional weightage vary in every slot. So, candidates cannot anticipate or plan how many and which type of questions to get to their target score.
Also, the MAH MBA CET is dominated by Logical Reasoning questions and there are comparatively less Quantitative Aptitude questions. Since, there is no set pattern, candidates cannot pre-plan. They need to make a strategy and implement it as soon as they see the question paper. So, those who can think on their feet and can crack the exam better than others.
All this depends over the personal choice and interest. The fields you are good at or you had interest, you should go for that.
Some of the best fields are Finance, Healthcare, Retail, Business Intelligence, Technology & Entertainment.
These are some of the best fields where data analyst is very much required.
The future of MBA in Data Analytics graduate is very bright with more industries integrating AI & Big Data. As per the research, By 2030, 80% of global companies will rely on data-driven decision-making which will help in increasing job demand for analytics professionals in India as well as abroad.
If you are interested in technology and data-driven business decisions then MBA in Data Analytics is a better choice for you and if you want to explore more career options in management than general MBA is best suited for you.
Yes, you can become a Data Analytics Consultant or start your own AI & Analytics startup. Many businesses in todays scenerio need data-driven solutions and with expertise in data analytics, you can also provide consulting services to the companies looking to implement analytics in their operations.
MAH MBA CET preparation can be done in two ways – 1. Join a coaching institute 2. Prepare by self study. If you choose the former, you will get complete guidance from the teachers and mentors, but if you choose the later, you will have to be your own guide. Self study will require a lot more discipline and dedication. Take simple yet impactful steps. First of all, check the exam syllabus and see how much time you will require to cover the topics. If you are already familiar with the topics included in the MAH MBA CET syllabus, you will be able to have an estimation of the time required.
Ideally, you should start MAH MBA CET preparation about nine months in advance. That will give you an ample time to understand and master the topics included in the syllabus through theory and practice questions. Join online study groups for problem solving and doubt clearing. Staying in contact with peers will keep you motivated for preparation.
The syllabus of MAH MBA CET includes the following:
Logical and Abstract Reasoning: Arrangements, Family tree, Coding-Decoding, Direction, Clock and Calendars, Groups and Conditionality, Number Series, Venn Diagrams, Syllogisms, Odd Word Out, Analogies, Blood Relations, Proposition, Direction Sense, Assumptions, Puzzles, Binary Logic, Clock and Calendars, Sets and Caselets, etc.
Quantitative Aptitude: Geometry, Trigonometry, Algebra, Mensuration, Partnership (Accounts), Profit and Loss, Mean, mode, median, Ratio and Proportion, In-Equations, Quadratic and Linear equations, Surds and Indices, Time-Speed-Distance, Number System, Geometric Progression, Binomial theorem, Inequalities, Work and Time, Percentage, Logarithms, Square Root and Cube Root, Probability and Simple Interest and Compound Interest.
Verbal Ability and Reading Comprehension: Reading comprehension, selling/appropriate usage, fill in the banks, para jumbles, vocabulary, antonyms and synonyms, error correction, sentence completion and word arrangement, grammar, one-word substituting and verbal ability.
Freshers who have graduated from MBA in Data Analytics can start their careers by:
- Taking internships in data analytics.
- Completing Google/Microsoft/AWS data certifications for good placements.
- Working as a Data Analyst before transitioning to Data Scientist roles.
- Learning Tableau, Power BI and Python to build a strong resume.
The demand for Data Analysts in government jobs is very high as government organizations are also hiring data analytics professionals for:
- NITI Aayog – Data-driven policy-making.
- Indian Railways – Predictive maintenance analytics.
- Election Commission of India – Data analysis for voting patterns.
- RBI & SEBI – Fraud detection and financial risk analysis.
MAH CET score is valid for admission for one year only. Those who have appeared for MAH CET 2024, can seek admission to participating colleges this year only (2024-25 batch) Candidates who will appear in MAH MBA CET 2025, their scores will be valid for admission to 2025-2026 batch of MBA programmes only. Those who wish to take a break of one year will have to appear for the exam again.
It is good to take a break and appear for the MAH CET exam next year again instead of taking admission in a college that is not of your choice. If you’ve scored below expectation in the current attempt, skip the year, prepare for the exam again, score better the next year and pursue MBA from a college that meets all your parameters.
Yes, even the students from non-technical backgrounds like Commerce, Humanities, and Business Studies can pursue an MBA in Data Analytics. However, they should be willing to learn programming (Python, SQL), statistics and data visualization tools during the course. Many Colleges offer foundation courses to help non-tech students understand the basics of data analytics.
Yes, You can absolutely transition into Data Analytics if you already have an MBA in Marketing, Finance, HR, or Operations. Data analytics is used across all business functions, so an MBA in any field can still lead to analytics roles with the right upskilling.
To transit into Data Analytics you need to do the following:
- Taking Online Courses – You have to learn Python, SQL, Power BI, and Tableau.
- Getting Certifications – You can also transit into Data Analytics by earning a Google Data Analytics or CAP certification.
- Gaining Hands-on Experience – You need to Work on real-world data projects.
- Applying for Analyst Roles – You can also look for Marketing Analyst, Financial Analyst, or HR Analyst jobs.
There are various certifications that you can do after MBA in Data Analytics which can increase your salary and career growth opportunities. To enhance your job prospects, you can pursue the below mentioned industry-recognized certifications:
- Google Data Analytics Professional Certificate (Beginner Level)
- IBM Data Science Professional Certificate (Good for AI & ML basics)
- Tableau Desktop Specialist (For data visualization skills)
- Microsoft Certified: Data Analyst Associate (For working with Power BI)
- AWS Certified Data Analytics (For cloud-based data solutions)
- Certified Analytics Professional (CAP) (Industry-recognized analytics certification)
- SQL for Data Science (Essential for working with databases)
Yes, Many global companies hire data-driven business professionals, especially in:
- USA & Canada – High demand for data analysts, BI consultants, and AI specialists.
- UK & Europe – Big opportunities in fintech, healthcare, and retail analytics.
- Australia – Growing job market in banking and government analytics.
- Middle East (UAE, Qatar, Saudi Arabia) – High salaries in oil, finance, and supply chain analytics.
To work abroad, you might need certifications like AWS Data Analytics, Google Data Engineer, or CAP. Learning global data privacy laws (GDPR, HIPAA) is also useful.
Honestly, You don't need to be a coding genius but yes you should be open to learning some basic programming and statistics.
Here's the truth:
- You'll be taught Python or R but only the parts needed for analysis.
- You'll learn basic statistics, probability and linear algebra—not PhD-level maths.
- If you're from commerce, arts, or management, don't worry! These concepts are taught from scratch in most good colleges.
But remember, Before joining, you can do a short online course on Python or Excel. It'll give you a head start and boost your confidence.
Yes, you totally can! There are many reputed institutions offering online or distance MBA in Data Analytics, especially for working professionals.
Colleges like NMIMS Global, Amity Online, Jain University, UPES Online, Symbiosis SCDL provide recorded, live classes, access to tools and projects. Some even offer placement support and career guidance.
This course is perfect for Working professionals, People who can self-learn and are disciplined But if you are a fresher looking for campus placement or internships then a full-time programme is better option for you.
Most Popular Courses
Popular Courses
- PGDM in Big Data AnalyticsGoa Institute of Management
- Master of Business Administration (MBA)Prestige Institute of Management and Research
- Post Graduate Diploma in Management (PGDM)Institute of Management Studies
- MBA in Data Sciences and Data AnalyticsSymbiosis Centre for Information Technology, Symbiosis International, Pune
- Post Graduate Diploma in Management (PGDM)IIRM Hyderabad
- Master of Business Administration (MBA)Amity University Online
- MBA in Data Analytics and Data Visualization in Collaboration with Samatrix.ioJECRC University
- PGDM in Human Resource ManagementLloyd Business School
- PGDM in Supply Chain ManagementLloyd Business School
- Master of Business Administration (MBA)Centurion University of Technology and Management, Bhubaneswar Campus
Popular MBA in Data Analytics Specializations
Popular Specializations
- Data Analytics
46 Colleges
- Sales & Marketing
19 Colleges
- Finance
18 Colleges
- Human Resources
18 Colleges
- Operations
10 Colleges
- Supply Chain
9 Colleges
- Business Analytics
9 Colleges
- Entrepreneurship
8 Colleges
- IT & Systems
8 Colleges
- Digital Marketing
5 Colleges
News & Updates
Jul 16, 2025
Student Forum
Answered Yesterday
Masters in Data Analytics has become a very popular course for international students in the UK. The reasons why UK is good for this course are given as follows:
- Academic Excellence: United Kingdom is known to have many globally renowned universities for Masters in Data Analytics with good quality of
Answered 4 weeks ago
The duration of the MSc in Applied Data Analytics course at Boston University is 8-16 months. This is a STEM-designated course. This programme exposes students to various Database Systems, Data Visualization Tools and Packages, Data Mining Tools, Cloud Services, etc. A Bachelor's degree is required
B
Contributor-Level 9
Answered 4 weeks ago
Some of the best Data Analytics colleges in India are listed in the table below, along with their fees:
College Name | Average Fees |
---|---|
INR 4.1 Lakh-4.8 Lakh | |
INR 3 Lakh | |
INR 4.6 Lakh | |
INR 6.15 Lakh | |
INR 2.53 Lakh |
Disclaimer: This information is sourced from the official website and may vary.
M
Contributor-Level 10
Answered 4 weeks ago
Students can evaluate the ROI after completing a Data Analytics course at some of the most popular colleges in India, by examining the table below:
College Name | Average Fees | Average Package |
---|---|---|
INR 4.1 Lakh-4.8 Lakh | INR 4.53-5.5 LPA | |
INR 3 Lakh | INR 4.8 LPA | |
INR 4.6 Lakh | INR 6.14 LPA | |
INR 6.15 Lakh | INR 5.2 LPA | |
INR 2.53 Lakh | INR 3.6 LPA |
Disclaimer: This information is sourced from the official website and may vary.
M
Contributor-Level 10
Answered a month ago
Lawrence Technological University offers one of the best master's programs in Business Data Analytics for international students. The curriculum includes Statistics for Data Analytics and Visualization, Management Information Systems, Database Management Systems, Machine Learning, Social Media Data
R
Contributor-Level 8
Answered a month ago
Yes, you totally can! There are many reputed institutions offering online or distance MBA in Data Analytics, especially for working professionals.
Colleges like NMIMS Global, Amity Online, Jain University, UPES Online, Symbiosis SCDL provide recorded, live classes, access to tools and projects. Some
A
Contributor-Level 6
Answered 2 months ago
Yes, Many global companies hire data-driven business professionals, especially in:
- USA & Canada – High demand for data analysts, BI consultants, and AI specialists.
- UK & Europe – Big opportunities in fintech, healthcare, and retail analytics.
- Australia – Growing job market in banking and government ana
H
Contributor-Level 6
Answered 2 months ago
There are various certifications that you can do after MBA in Data Analytics which can increase your salary and career growth opportunities. To enhance your job prospects, you can pursue the below mentioned industry-recognized certifications:
- Google Data Analytics Professional Certificate (Beginner L
A
Contributor-Level 6
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