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

Below are some important point that describes MBA in Data Analytics Course:

• The duration of MBA in Data Analytics is Typically 18 to 24 months, with options for full-time, part-time, or online study.
• A regular MBA in Data Analytics degree is a two-year course divided into four semesters. However, certain private institutes offer one-year PGDM programs as well.
• Only individuals with a bachelor's degree in any discipline or a BBA program from a recognised institute or university are eligible for an MBA in Data Analytics.

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.

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.

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.

Hi, you can pursue the following Data Analytics courses:

1. BTech in Data Analytics
2. MBA in Data Analytics
3. BCA in Data Analytics
4. MTech in Data Analytics
5. BBA in Data Analytics
6. MCA in Data Analytics
7. BA in Data Analytics
8. BVoc in Data Analytics
9. 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.

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:

1. 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.
2. Logical Reasoning: Family Tree, Analytical Reasoning, Linear Arrangements, Number Series, Matrix Arrangements, Blood Relationship Tests, Coding-Decoding, etc.
3. 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.
4. 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 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 exam is conducted for admission to management programmes including Master of Business Administration (MBA), Post Graduate Diploma in Management (PGDM).

The ATMA exam assesses the candidate's aptitude and skills needed for an MBA or PGDM course. The scope of the ATMA exam is broad. It covers the knowledge and skills 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 many business schools and management institutes across India. 

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

Yes, several reputable institutions offer specialised MBA programs in Pharmaceutical Management, including:

• Amity University
• Symbiosis Centre for Information Technology (SCIT)
• Usha Martin University (UMU)
• AGE University Bhopal 

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.

1. Great Lakes Institute of Management
2. IIM Bangalore
3. MISB Bocconi
4. Praxis Business School
5. Aegis School of Business
6. Bridge School of Management
7. SP Jain School of Global Management
8. Narsee Monjee Institute of Management Studies
9. IIM Ranchi 
10. 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.

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!

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.

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.

ATMA result is usually released within a week from the exam. ATMA July result 2025 was released on August 2, 2025. The August session result will be released on September 4, 2025. 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.

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.

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:

1. Taking internships in data analytics.
2. Completing Google/Microsoft/AWS data certifications for good placements.
3. Working as a Data Analyst before transitioning to Data Scientist roles.
4. 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:

1. Taking Online Courses – You have to learn Python, SQL, Power BI, and Tableau.
2. Getting Certifications – You can also transit into Data Analytics by earning a Google Data Analytics or CAP certification.
3. Gaining Hands-on Experience – You need to Work on real-world data projects.
4. 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:

1. USA & Canada – High demand for data analysts, BI consultants, and AI specialists.
2. UK & Europe – Big opportunities in fintech, healthcare, and retail analytics.
3. Australia – Growing job market in banking and government analytics.
4. 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.