MBA in Data Analytics Course: Full Form, Admission 2025, Fees, Syllabus, Entrance Exam, 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.

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.

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.

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.

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.

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:

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.

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:

1. Make a list of the topics that need to be covered by the preparation materials using the XAT syllabus.
2. Schedule your study time on a monthly, weekly, and daily basis.
3. Focus on the subjects that receive the most questions, taking into account the time you have available.
4. You can join online study groups or look for a mentor to help you with your at-home preparation.
5. Set a time limit for each section to allow for comprehensive planning.
6. Start reading editorials in newspapers and magazines for reading comprehension.
7. Review the mathematical formulas and concepts from classes 9 and 10 for the quant section.
8. 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.

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.

ATMA result is usually released within a week from the exam. The February 2025 exam result will be 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. 

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.

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.

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.

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:

1. Indian Institute of Technology Delhi (IIT Delhi)

   • One of the top engineering institutes in India, offering excellent placements and resources for Data Analytics.

2. Delhi Technological University (DTU)

   • Known for its strong computer Science department, DTU offers a good focus on data Science and analytics.

3. Netaji Subhas University of Technology (NSUT)

   • Offers a well-structured CSE programme with specialisation in Data Analytics, and has good placement records.

4. Amity University, Noida

   • A private university with a strong focus on research and industry collaborations, offering a specialisation in Data Analytics.

5. Indraprastha Institute of Information Technology (IIIT Delhi)

   • Offers specialised courses in Data Analytics and is known for its rigorous curriculum and research opportunities.

Patna:

1. 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.

2. Patna University (PU)

   • Though not as renowned as the other institutes, Patna University offers undergraduate programs with opportunities to explore data analytics.

3. Magadh University

   • Offers engineering programs with opportunities to pursue data analytics in computer Science fields.

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

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.

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!