An MBA in Data Analytics offers training to the students for converting semi-structured, structured or unstructured data into insights that help in strategic and operational decision making processes. It is a two-year postgraduate degree program for the students covering all the essential data analytics topics. It strengthens the foundation of data analytics and research in which a candidate can acquire more experience and value-based learning all through the MBA Data Analytics course.
About the Course
This course concentrates on the practical and theoretical aspects of data management and analysis. Students can also specialise in Data Analytics and Business Accounts, the primary subject of study in the course duration. Entry to MBA Data Analytics is based on Entrance-based exams conducted at the state and national levels. However, few colleges take students based on their merit marks in their previous higher qualification.
Details about the MBA Data Analytics program are as follows.
- MBA Data Analytics trains aspirants for converting semi-structured, structured or unstructured data into insights that help in strategic and operational decision making processes across various sectors, including banking, financial services, e-commerce, telecom, retail, etc.
- It is a two-year postgraduate course where students acquire experience and knowledge regarding various analytical tools.
- The MBA Data Analytics curriculum includes Information Security in Business, Predictive Analytics, Big Data, Data Visualization and Decision Making Systems, Cloud Computing and E-Business, Python for Data Science, and Marketing Analytics.
- Postgraduates in the MBA Data Analytics programme can value the potential of data, source and build Big Data Ecosystem, describe, manipulate and process data and create models.
- This program focuses on the theoretical and practical factors of data management and analysis. Aspirants can learn the practical methods of analysing a large data set.
- MBA Data Analytics offers a comprehensive combination of managerial and technical knowledge to help the students tackle future challenges.
Mentioned below are the requirements for an MBA in Data Analytics.
- The candidate requires an undergraduate or Bachelor’s degree in any discipline from a recognised university. The passing percentage must be 40% to 50% or equivalent CGPA in the undergraduate course.
- There is a 5% relaxation for all the reserved category students belonging to the OBC/SC/ST category, i.e. the passing percentage must be 40% to 45%.
- The candidate’s graduation should be in Science, Mathematics, Physics, Engineering, or any other related field to data analytics.
- Students should have aggregate marks of 40% to 60% in the undergraduate degree.
MBA Data Analytics course is created to study collecting and analysing, and processing raw data to provide insights into the required domain. This course emphasises knowledge of data analytics and the basic understanding of data analytics. It will help the students in application analytics such as neural networking, prediction algorithms, and forecasting methods to apply to business strategies. Graduates with an MBA in Data Analytics get to work in professions like Data Engineer, Data Analyst, Business Analyst, Data Scientist, Data Analytics Consultant, Risk Analyst, Healthcare Data Analyst.
Admission to MBA Data Analytics programs is mainly based on the candidates’ score at the national-level or state-level entrance test. The qualifying students have to go through a personal interview (PI) and group discussion (GD) round held by the respective institutes.
Few colleges also offer admission based on the aspirant’s merit at the graduation level. Access to this course mainly commences in July and August.
Some institutions to apply to are as follows.
- Students must submit the duly-filled application form to those colleges where they are willing to get admission.
- In the merit-based admission process, the Undergraduate degree courses’ score scores as the eligibility criteria. So, it is crucial to perform well at an undergraduate level with at least 40% marks.
- After evaluating all applications, the institute’s admission authority releases the cut-off lists. If the student has cleared the cut-off rank, then they are eligible for admission.
- For the final admission procedure, candidates need to visit the respective college and submit all required documents and admission fees.
Entrance Based Admission
- Aspirants need to register for the entrance exam to the respective colleges or universities’ official website using some of the necessary personal details, like email ID and phone number.
- They should fill the application form carefully with all the required details, scan and upload all necessary documents in the prescribed format. Pay the fee and apply via the mentioned model.
- The admission authority releases admit cards for the eligible students required to appear for the entrance examination.
- To secure admission, the students have to perform well in the entrance examination. The qualifying students have to appear for the group discussion (GD) followed by a personal interview (PI).
- They will prepare the selected candidates’ final merit list based on the entrance exam’s performance, personal interview round.
- Finally, shortlisted students need to deposit the course tuition fee and secure their seat for the respective academic year.
Many national-level or state-level entrance tests consider for admission into MBA Data Analytics courses. Below are some of the entrance tests conducted to shortlist India’s MBA Data Analytics courses’ most eligible applicants.
- CAT (Common Admission Test) is organised every year by IIMs to shortlist aspirants to get admission into various MBA and PG Diploma programs. The exam consists of three segments which are Verbal Ability and Reading Comprehension, Quantitative Ability and Data Interpretation.
- MAT (Management Aptitude Test) is a national-level entrance examination conducted by the All India Management Association four times a year. This test is held to offer admission in various MBA or PGDM in more than 600 business schools across India.
- SNAP is a national-level entrance exam organised by Symbiosis International University for MBA course admission. After clearing this test, students need to appear for the Group Discussion, Written Ability Test (WAT) followed by a personal interview (PI).
- XAT (Xavier Aptitude Test) is another national-level entrance exam. It is conducted by XLRI for admission into various MBA programs offered by XLRI once a year. Students must secure a score of 30+ to land in top XAT Colleges.
- CMAT is a national level entrance test. It is conducted by the NTA to shortlist the eligible students for admission into various PG courses by AICTE. This exam facilitates institutions to choose the right understudies for affirmation in all administration programs. CMAT is a decision-based examination for students seeking interest in MBA courses.
Benefits of an MBA in Data Analytics
Some of the significant benefits of pursuing an MBA Data Analytics course are given in the following.
- MBA Data Analytics course is one of India’s most sought-after methods offering future career opportunities. The degree holders can get employment in vast sectors, such as Banking Sectors, Insurance Companies, Data Management Services, MNCs, IT companies, Insurance Departments, Media Houses etc.
- The course offers a basic understanding of various aspects related to data and insurance concepts, and it will help the students to get significant exposure to the Worldwide financial competitions.
- The MBA Data curriculum includes Python for Data Science, Analytics Data Visualization and Decision Making Systems, and Marketing Analytics.
- The candidates may have potential job roles like Data Analyst, Data Engineer, Data Scientist, Data Analytics Consultant, Business Analyst, Risk Analyst, Healthcare Data Analyst.
- They can also set their career as a lecturer or professor in the reputed institutes of India.
- Some of the top MBA Banking and Insurance recruiting firms in India are Cognizant Technology Solutions (CTS), HCL Technologies, Mahindra Satyam, Deloitte, Wipro Technologies, PayPal, Dell, Infosys and many more.
- The MBA Data Analytics graduates’ salary may range from INR 4,00,000 to 20,00,000 per year. Depending on the student’s knowledge, skills, and expertise in the related field of study and job positions, this salary package may increase.
The MBA Data Analytics course’s future scope is quite good, as seen from the details given below.
- Students can choose for higher education after completing the MBA Data Analytics program.
- MBA Data Analytics graduates can go for an M.Phil or double Master of Philosophy program in related areas. It will help them better understand the various issues related to their field of interest and provide them with job opportunities with a decent salary.
- Opting for a PhD in Data Analytics or a related discipline is also what a student may opt for after their MBA in Data Analytics. Undertaking this course will enhance the job’s research skills and result in better employment and research opportunities.
- Appearing for NTA-UGC and NET-JRF is also one option for students to gain employment eligibility as Assistant Professor in various colleges and universities.
- MBA Data Analytics students can also appear for various competitive exams for different civil service jobs through Staff Selection Commission (SSC), Union Public Service Commission (UPSC), state PSCs and many other government competitive exams.