MBA Data Analytics provides training to the students for converting semi-structured, Big Data structured or unstructured data into useful insights that help in operational and strategic decision making processes. It is a 2 year post graduate degree program for the students that covers all the major topics related to data analytics.
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It strengthens the foundation of data research and analytics in which a candidate can gain more experience and value-based learning throughout the MBA Data Analytics course.
This course focuses on theoretical and practical aspects of data management and analysis. Students can also specialize in Data Analytics along with Business Accounts which is the major subject of study in the duration of the course
Admission to MBA Data Analytics is based on Entrance based exams that are conducted at state and national level. However there are few colleges that take students on the basis of their merit marks in their previous higher qualification.
The candidate seeking admission in this pocurse must have completed graduation with at least 50% aggregate.
The minimum eligibility criterion for students willing to study MBA Data Analytics in India is graduation in any stream with a minimum of 40% to 55% aggregate marks. MBA Jobs for such students ranges from INR 6 - 20 LPA.
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The average salary of a MBA Data Analytics course in India is around INR 6 lakh per annum. However, this varies from institute to institute and MBA salary remains around INR 8-20 LPA in Tier 1 colleges, INR 12-18 LPA in Tier 2 colleges, and INR 3-7 LPA in Tier 3 colleges.
Graduates of MBA Data Analytics get to work in profiles like Data Analyst, Data Engineer,
Business Analyst, Data Scientist, Data Analytics Consultant, Risk Analyst, Healthcare Data Analyst among others.
MBA Data Analytics: Highlights
The major highlights of MBA Data Analytics course are tabulated in the following:
Course Level | Post-Graduation |
Full Form | Master of Business Administration in Data Analytics |
Duration | 2 Years |
Exam Type | Semester System |
Eligibility | The candidate seeking admission in this pocurse must have completed graduation with at least 50% aggregate. |
Admission Process | Merit and Entrance Exam Based |
Course Fee | INR 40,000-10,00,000 |
Average Salary | INR 4,00,000-20,00,000 |
Job Profiles | Data Analyst, Data Engineer, Business Analyst, Data Scientist, Data Analytics Consultant, Risk Analyst, Healthcare Data Analyst among others. etc. |
Top Recruiting Areas | Insurance Companies, Data Management Services, Technology Consultancy Companies, Analytics Solutions Providers, Information Management Services, Business Analytics & Research industry etc. |
Top Recruiting Companies | Cognizant Technology Solutions (CTS), Wipro Technologies HCL Technologies,Mahindra Satyam, Deloitte, PayPal Dell, Infosys and many more. |
MBA Data Analytics: What is About?
Detailed information about the MBA Data Analytics program are as follows:
- MBA Data Analytics trains students for converting semi-structured, Big Data structured or unstructured data into useful insights that help in operational and strategic decision making processes across various sectors including banking, financial services, e-commerce, telecom, retail, etc.
- It is a 2 year post graduate program where students acquire experience and knowledge regarding various analytical tools.
- The curriculum of MBA Data Analytics include Information Security in Business, Predictive Analytics, Big Data, and Cloud Computing and E-Business, Data Visualization and Decision Making Systems, Python for Data Science, and Marketing Analytics.
- Successful postgraduates in the MBA Data Analytics programme are able to value the potential of data, source and describe data, build Big Data Ecosystem, manipulate and process data and create data models.
- This course focuses on theoretical and practical aspects of data management and analysis.Students are also allowed to learn the practical aspects of analysing a large data set.
- MBA Data Analytics provides a comprehensive combination of managerial and technical knowledge that will help the students to tackle future challenges.
Why Study MBA Data Analytics?
Some of the major benefits of pursuing MBA Data Analytics course are given in the following:
- MBA Data Analytics course is one of the most sought-after courses in India offering prospective career and job opportunities. The degree holders can get employment opportunities in vast sectors, such as Banking Sectors, IT companies, Insurance Companies, Data Management Services, MNCs, Insurance Departments, Media Houses etc.
- The course offers the basic understanding of various aspects related to data and insurance concepts and it will help the students to get a big exposure to the Worldwide financial competitions.
- The curriculum of MBA Data includes Analytics Data Visualization and Decision Making Systems, Python for Data Science, and Marketing Analytics.
- The students may have potential job roles like Data Analyst, Data Engineer, Business Analyst, Data Scientist, Data Analytics Consultant, Risk Analyst, Healthcare Data Analyst among others.
- Besides these, they can also establish their career as a professor or lecturer in the reputed colleges or institutes.
- Some of the top-most MBA Banking and Insurance recruiting companies in India are Cognizant Technology Solutions (CTS), Wipro Technologies, HCL Technologies,Mahindra Satyam, Deloitte, PayPal, Dell, Infosys and many more.
- The MBA Data Analytics graduates’ packages may range from INR 4,00,000 to 20,00,000 per annum. Depending on the student's skills, knowledge and expertise in the related field of study and job positions this salary package may increase.
What is the MBA Data Analytics Admission Procedure?
Admission to MBA Data Analytics courses is mostly done based on the score obtained by the candidates at the national-level or state-level entrance exam. The qualifying candidates have to go through a personal interview (PI) and group discussion (GD) round conducted by the respective colleges or universities.
Few colleges also offer admission to this course on the basis of the aspirant's merit at the graduation level. Admission to this course mostly commences at the month of July and August.
Merit Based Admission:
- Candidates must submit the duly-filled application form to those colleges where they are willing to get admission.
- In the case of merit-based admission process, the score obtained in the Undergraduate degree courses are considered as the eligibility criteria. So, it is essential to perform well in the undergraduate degree with at least 40% marks .
- After evaluating all applications, the college admission authority releases the cut-off lists. If the candidate has cleared the cut-off rank, then they are eligible for admission.
- For the final admission process,candidates need to visit the respective college and submit all required documents and admission fees.
Entrance Based Admission:
The step-by-step entrance-based admission process is mentioned below:
- Candidates need to register for the entrance exam to the official website of the respective colleges or university by using some of the basic personal details, like email id, phone number.
- They should fill up the application form carefully with all required details. Scan and upload all required documents in the prescribed format. Pay the application fee online and submit via the mode mentioned.
- The college admission authority releases admit cards for the eligible candidates required to appear for the entrance examination.
- To secure admission, the candidates have to perform well in the entrance examination. The qualifying candidates have to appear for the group discussion (GD) followed by a personal interview (PI) round.
- The final merit list of the selected candidates will be prepared on the basis of the performance in the entrance exam, personal interview round.
- The finally shortlisted candidates are required to deposit the course tuition fee and secure their seat for the respective academic year.
MBA/PGDM in Delhi-NCR | MBA/PGDM in Maharashtra | MBA/PGDM in Chennai | MBA/PGDM in Uttar Pradesh | MBA/PGDM in Telangana |
What is the MBA Data Analytics Eligibility Criteria?
The candidate needs to qualify the basic eligibility criteria for getting admissions to MBA Data Analytics course. The educational qualifications is mentioned below:
- Undergraduate or Bachelor’s degree in any discipline from a recognized university. The passing percentage should be 40% to 50% or equivalent CGPA in the undergraduate degree.
- There’s a 5% relaxation for all the reserved category candidates belonging from the OBC/SC/ST category i.e. the passing percentage should be 40% to 45%.
- The graduation of the candidate should be in the subjects of Mathematics, Science, Physics, Engineering, or any other related field to data analytics.
- Candidates should have aggregate marks of 40% to 60% in the undergraduate degree.
What are the MBA Data Analytics Entrance Exams?
There are many national-level or state-level entrance exams that are considered for admission into MBA Data Analytics courses. Mentioned below some of the top entrance exams conducted to shortlist the most eligible candidates for MBA Data Analytics course admission in India:
- CAT stands for Common Admission Test is conducted every year by IIMs to shortlist candidates wishing to get admission into various MBA and PG Diploma courses. The exam comprises three segments which are Verbal Ability and Reading Comprehension, Data Interpretation and Quantitative Ability.
- MAT AKA Management Aptitude Test is a national-level entrance examination conducted by All India Management Association four times in a year. This exam is conducted to offer admission in various MBA or PGDM in more than 600 business schools across India.
- XAT stands for Xavier Aptitude Test is another national-level entrance exam conducted by XLRI for admission into various MBA programs offered by XLRI once in a year. Candidates must secure a score of 30+ to land in top XAT Colleges.
- SNAP is a national-level entrance exam conducted by Symbiosis International University for MBA course admission. After clearing this exam, candidates need to appear for the Group Discussion, Written Ability Test (WAT) followed by a personal interview (PI).
- CMAT is a national level entrance exam conducted by the National Testing Agency to shortlist the eligible candidates for admission into various Postgraduate Management courses offered by AICTE. This test facilitates institutions to choose appropriate understudies for affirmation in all administration programs. CMAT is a numerous decision-based examination for students seeking interest in MBA courses.
Exam Name | Exam Details |
---|---|
CAT | Check CAT Exam Dates |
MAT | Check MAT Exam Dates |
SNAP | Check SNAP Exam Dates |
IIFT | Check IIFT Exam Dates |
IBSAT | Check IBSAT Exam Dates |
CMAT | Check CMAT Exam Dates |
NMAT | Check NMAT Exam Dates |
ATMA | Check ATMA Exam Dates |
XAT | Check XAT Exam Dates |
TISSNET | Check TISSNET Exam Dates |
TANCET | Check TANCET Exam Dates |
How to Prepare for MBA Data Analytics Entrance Exam?
In order to pursue MBA Data Analytics Engineering course, the aspirants should have a better score at the national or state-level common entrance exam or exams conducted by the respective colleges. So, it is very important for candidates to prepare themself for the examination. Start preparing for the entrance exam a few months before appearing for the test.
While preparing for the entrance examination, aspirants must try to keep the following tips and tricks in mind:
- Before starting the entrance examination preparation, it is essential to have a clear idea about the MBA examination syllabus. The examination syllabus may change from year to year. MBA Aspirants can download the syllabus from the official website of the respective colleges or university.
- Aspirants must have a broad understanding of the exam pattern as most of the MBA entrance exam consists of MCQ type questions and the aspirants should learn some tricky ways to solve the questions within the stipulated time period.
- Sometimes, there are negative markings on wrong answers in the entrance examination. So, the aspirant must be careful about this fact and try to answer a question when they are 100% sure about it.
- Candidates must solve previous years’ question paper, Mock Test papers or sample question sheets and try to attend at least 25-30 mock tests before appearing for the entrance examination as it will enhance the aspirant’s confidence level.
- Time management is the key to MBA entrance examination success. Aspirants must divide the time frame for each topic and try to complete the entire syllabus within the scheduled time period and save some time for quick revision of difficult topics.
- MBA Data Analytics aspirants must try to revise the lesson on a daily basis as It will help them to identify your strong and weak points, and they can further work on the weaker section.
- Candidates can also join online coaching classes or read best entrance exam reference books; materials available in the market for better preparation.
How to Get Admission into a Good MBA Data Analytics College?
While you are willing to get admission to the top-notch MBA Data Analytics colleges in India, you must keep the following pointers in mind:
- Narrow down the list of colleges offering MBA Data Analytics courses in India, according to the geographical location, ease of access, course fee etc.
- Go through the details related to the eligibility criteria, admission process, hostel, fees and job placement set by the colleges or institute where you are willing to apply for. Also, Check out the university’s official website for latest updates.
- Always remember to submit your requisite application before closing of the application portal, otherwise your application will be rejected by the admission authority.
- Most of the cases, admission to MBA Data Analytics course is done on the basis of marks obtained at the entrance examination conducted at State-level or university-level. So, it is important for candidates to score well at the Entrance Examinations.
- Candidate must be well-prepared for the entrance examination and should start preparing for the test a few months before the examination date.
- In case of merit-based admission, the candidates need to have a good percentile at the Intermediate level as the admission is done on the basis of score obtained at their Higher Secondary board exam from a recognised board..
- Candidates should have a clear understanding of the course curriculum offered by the respective colleges or universities.
- They can also check out their average placement packages offered by the top recruiting companies to their last year students from connecting them over social media.
Checkout: MBA GD PI Preparation Tips
What are the Top MBA Data Analytics Colleges?
Listed below the top-most colleges offering MBA Data Analytics course in India:
College Name | Average Fees | Average Salary Package |
---|---|---|
Hindustan Institute of TEchnology and Sciences | INR 2,53,000 | INR 6 LPA |
Symbiosis Centre for Information and Technology | INR 6,20,000 | INR 8 LPA |
Seshadripuram Institute of Management Studies | INR 3,00,000 | INR 4.8 LPA |
Gurugram University | INR 40,000 | INR 4.2 LPA |
Techno India University | INR 1,43,000 | INR 4 LPA |
Centurion University of Technology | INR 85,900 | INR 5 LPA |
Centurion University of Technology | INR 2,20,000 | INR 5.6 LPA |
Graphic Era Hill University | INR 1,98,500 | INR 6 LPA |
ILM University | INR 3,00,000 | INR 6.2 LPA |
Amity University | INR 4,90,000 | INR 7.5 LPA |
MBA Data Analytics: College Comparison
The below-mentioned table depicts the comparison study between the top MBA Data Analytics colleges across India based on some major important parameters:
College Name | Symbiosis Centre for Information and Technology | Amity University |
Location | Pune | Greater Noida |
Overview | Symbiosis Centre for Information and Technology is one of the most reputed private B-Schools in India. This institute provides post-graduate management and doctoral courses in various disciplines. | Amity University is an UGC recognized deemed university and is a private university located in Noida. It was established in the year 2003 by an act of State Legislature through the Act of State Legislature |
Eligibility | Bachelor’s degree in any discipline from a recognized university | Graduation in any stream from a recognized college |
Admission Process | Entrance Based followed by Interview | Entrance Based followed by Interview |
Average Fees | INR 6,20,000 | INR 4,90,000 |
Average Salary | INR 8.00,000 | INR 7,50,000 |
MBA Data Analytics: Course Comparison
MBA Data Analytics and MBA Banking & Finance , both undergraduate degree courses are same in nature but although they have some major differences. Let’s check out the comparison study between these courses based on some major important parameters like duration, fees, job areas and job roles:
Parameters | MBA Data Analytics | MBA Banking and Finance |
---|---|---|
Full Form | Masters of Business Administration Data Analytics | Master of Business Administration Banking and Finance |
Qualification | Post Graduation | Post Graduation |
Duration | 2 years | 2 years |
Eligibility | Bachelor’s degree in Banking from a recognized college | Bachelor’s degree in Banking from a recognized college |
Admission Process | Merit Based or Entrance Exam Based | Merit Based or Entrance Exam Based |
Course Fee | INR 40,000- INR 5,00,000 | INR 10,000- INR 5,00,000 |
Job Roles | Data Analyst, Data Engineer, Business Analyst, Data Scientist, Data Analytics Consultant, Risk Analyst, Healthcare Data Analyst among others. etc. | Accounts Manager, Marketing Manager, Executive Assistant, Marketing Analyst, Investment Banker, Finance Manager, Business Analyst, Equity Research Analyst, Corporate Analyst etc. |
Top Recruiting Companies | Cognizant Technology Solutions (CTS), Wipro Technologies HCL Technologies,Mahindra Satyam, Deloitte, PayPal Dell, Infosys and many more. | ICICI Bank, Yes Bank, HCL, Harman, SBI, Bajaj Allianz, LAVA, Newgen, Indian bank etc. |
Average Annual Salary | INR 5,00,000 - INR 8,00,000 | INR 3,00,000-7,00,000 |
Check out the top MBA Banking and Finance Colleges in India
What is the MBA Data Analytics Syllabus?
MBA Data Analytics course subjects may vary from one college to another, but there are still some subjects in common which can be taught during the entire 2-years duration.
The semester-wise course breakup for MBA Data Analytics course is listed in the following:
Semester I | Semester II |
---|---|
Accounting for Managers | Applied Operations Research |
Applied Statistics for Decision Making | Data Cleaning, Normalization and Data Mining |
Financial Analysis and Reporting | Econometrics |
Macroeconomics in the Global Economy | Foundation course in Business Analytics |
Organizational Behavior | Project Management |
Research Methodology | Spreadsheet Modeling |
Semester III | Semester IV |
Applied Business Analytics | Ethical and Legal Aspects of Analytics |
Foundation Course in Descriptive Analysis | Healthcare Analytics |
Foundation Course on Predictive Analysis | HR Analytics |
SAP FICO | Project Work |
SAP HCM | R Programming |
Stochastic Modeling | Social and Web Analytics |
What are the MBA Data Analytics Recommended Books?
Listed below some of the most popular recommended books for MBA Data Analytics course study that helps the students to gain a broader understanding:
Name of the Books | Author |
---|---|
Big Data MBA: Driving Business Strategies with Data Science | Bill Schmarzo |
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking | Tom Fawcett |
Data Analytics: What Every Business Must Know about Big Data and Data Science James Smith | James Smith |
The Signal and the Noise | Nate Silver |
Business unIntelligence: Insight and Innovation beyond Analytics and Big Data | Barry Devlin |
Business Research Methods Donald | R. Cooper |
What are the MBA Data Analytics Job Profiles?
MBA Data Analytics course study offers a diverse range of career and job opportunities. Students pursuing the course may have employment options in various sectors like Banking Sectors, IT companies, MNCs, Insurance Departments, etc.
Even they can also join as a Lecturer or Professor in any reputed colleges or institutes.
Some of the major MBA Data Analytics job profiles are mentioned in the following along with the respective job description and salary packages:
Job Profile | Job Description | Average Salary |
---|---|---|
Data Analyst | A data analyst is professional personnel who scrutinises information using data analysis tools. The meaningful results they pull from the raw data help their employers or clients make important decisions by identifying various facts and trends in an organisation. Their Typical duties include: using advanced computerised models to extract the data needed. | INR 5 LPA |
Data Engineer | Data engineers are responsible for finding trends in data sets and developing algorithms to help make raw data more useful for the client or the organisation. They are often responsible for building algorithms to help give easier access to raw data, but to do this, they need to understand the company's or client’s objectives. | INR 6 LPA |
Business Analyst | He or She is a person who analyzes an organization or business domain and documents its business, processes, or systems, assessing the business model or its integration with technology. They help in guiding businesses in improving processes, products, services, and software through data analysis. | INR 4 LPA |
Data Scientist | They are analytical experts who utilize their skills in both technology and social science to find trends and manage data. Data Scientists use industry knowledge, contextual understanding, skepticism of existing assumptions – to uncover solutions to business challenges. | INR 8 LPA |
Risk Analyst | He or She examines a firm's investment portfolios, including overseas investments, and analyzes the risk involved in associated decisions. Risk Analysts use their analytical skills to project potential losses, and make recommendations to limit risk through diversification, currency exchanges and other investment strategies. | INR 7.2 LPA |
What is the MBA Data Analytics Future Scope?
The future scope of MBA Data Analytics course is quite good as seen from the details given below:
- Students can opt for higher education after completing the MBA Data Analytics course.
- MBA Data Analytics graduates can undertake an M.Phil or double Master of Philosophy program in related areas. It will help them gain a better understanding of the various issues related to the field of interest and It will also provide them with better job opportunities with a decent amount of salary.
- Enrolling for a PhD Data Analytics or a related discipline is also what a student may opt for after their MBA Data Analytics. Undertaking this course will enhance the research skills of the job and will result in better jobs as well as research opportunities with higher salaries and experience.
- MBA Data Analytics students may also appear for various competitive exams for various civil service jobs, through Union Public Service Commission (UPSC), state PSCs and Staff Selection Commission (SSC) and many other government competitive exams.
- Appearing for NTA-UGC NET-JRF is also one option that students may opt for gaining eligibility for employment as Assistant Professor in various colleges and universities.
MBA Data Analytics: FAQs
Ques. What is the minimum eligibility criteria for an MBA Data Analytics course?
Ques. How to prepare for the entrance examination of MBA Data Analytics course ?
Ques. Can I get direct admission to MBA Data Analytics program?
Ques. Is MBA Data Analytics a tough subject?
Ques. What are the job roles after MBA Data Analytics?
Ques. What are the top recruiting companies after completing MBA Data Analytics?
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