MBA in Business/Data Analytics
For admission, candidates appear for the entrance exams at the national and state levels. Very few universities admit the candidate based on the merit scores obtained previously from some other higher education.
To be eligible for this program an applicant must have graduated in any field and from any university with a minimum of 50%. For these students, MBA jobs pay between ₹6 lakhs and ₹ 36 lakhs. The highest package of an MBA graduate in Data Analytics can go up to ₹ 35.92 Lakhs per annum. The package depends on the college and the student's skills and knowledge. Data analysts, data engineers, business analysts, data scientists, data analytics consultants, risk analysts and healthcare data analysts are available positions for MBA data analytics graduates.
Highlights
What is an MBA in Data Analytics
Combining technical knowledge of data analysis with a strategic understanding of business administration in an MBA in Data Analytics trains the student to make data-driven decisions in a fast-changing corporate environment. The program's curriculum covers significant topics such as data management, statistical modeling, machine learning and data visualization, besides emphasizing leadership, decision-making and strategic thinking. Students in this two-year postgraduate program develop expertise in various analytical tools. MBA in Data Analytics for working professionals can interpret complex data, identify insightful information and implement data-based solutions that could improve the efficiency of a company.
An MBA in Data Analytics foregoes job opportunities in different fields, such as consulting, marketing, healthcare, and finance, where data is increasingly used to fuel growth and shape corporate strategies. This is achieved by combining analytical methodologies with business strategy. This program covers information security in business, big data, cloud computing, predictive analytics, e-business, data visualization and decision-making systems, python for marketing analytics and data science.
Why one should choose an MBA in Data Analytics
Currently seeing the market in India, there are many job opportunities for an MBA in Data Analytics. Degree holders are often employed by outlets in media businesses, IT firms, insurance businesses and banking sectors to work on the management of their data services as well as at multinational corporations in their departments about insurance. The course would give the student a basic knowledge of many subjects related to data and insurance issues and expose the students to several international financial competitions.
MBA in Data analytics combines the best of both streams, it is a standard MBA program curriculum with electives that are focused on data analytics. Though the data analytics concentration will sharpen students’ understanding of subjects like predictive analytics and applying artificial intelligence in data mining, the MBA core courses will focus on developing practical skills in project management and other essentials of business administration tools.
The common fields where students pursue their careers are data engineering, data analysis, business analysis, data consultancy, data science, risk analysis or healthcare data analysis. Apart from these, students can seek employment in good institutions as lecturers or professors. The leading recruiters for lucrative jobs are Wipro Technologies, Cognizant Technology Solutions (CTS), HCL Technologies, Deloitte, Mahindra Satyam, PayPal, Dell and Infosys.
Who should choose an MBA in Data Analytics?
An MBA in Data Analytics is the best choice for professionals or students who want to know both general business and advanced data expertise. This degree can be the ideal choice for those working in positions such as business analysts, marketing managers or IT practitioners. These IT people have to make strategic decisions based on data. Leaders aspiring to initiate data-driven innovations, streamline operations or create better customer experiences will gain tremendously. Also those with an engineering, finance or technology background seeking to shift into leadership positions in analytics-based industries can opt for this degree. Entrepreneurs can also choose to take this degree who need to leverage data to grow their businesses efficiently. In today’s data-driven world, industries flourish on data analytics. This field offers a great career opportunity for someone good at mathematics, accounting and Python. People who have studied computer science and programming languages will have the opportunity to excel in this program. Students who want a managerial job involving their Python skills are suited for a career in this. This will benefit students who have a knack for complex unstructured and raw data and those who like to play with numbers. A significant part of this is predictive modeling, tools for data visualization and coding skills.
Eligibility Requirements
The requirements that one should meet to get admission to an MBA program with a specialization in MBA in Data Analytics are as follows:
Candidates should obtain at least 50% marks (45% for SC/ST) in the qualifying exam. Students aspiring to take admission while appearing for their final year exams can provide a provisional degree with the necessary documents.
Relevant experience can help students gain proper knowledge during the course, but it is not mandatory. Few colleges/Universities have criteria that demand at least one year of relevant experience. Experience is important to understand management studies. It can also help individuals acquire skills better for their advancement in the future.
Entrance Exam
In India, various entrance examinations are conducted to get admission to top management colleges. These are as follows:-
CAT: The CAT also known as the Common Admission Test, is one of the most common entrance exams. It is conducted every year in India for admission to Management colleges. Students aspiring to be admitted to top management colleges must get a high score in the CAT. The exam has three sections: Verbal Ability, Reading Comprehension, Data Interpretation, Logical Reasoning, and Quantitative Ability. It is 120 minutes long.
MAT: MAT, also called the Management Aptitude Test is a standardized test. It is conducted every year to facilitate Business Schools to screen candidates for admission to MBA programs. The exam is 120 minutes long.
GMAT: The GMAT is also known as the Graduate Management Admission Test. It is an online exam conducted by GMAC every year to qualify students for admission to MBA programs at universities in India and abroad. The exam is two hours and fifteen minutes long and can be taken multiple times in a year.
CMAT: The Common Management Aptitude Test (CMAT) is a 180-minute national-level examination conducted by the NTA every year. It is the second most common exam taken by students after the CAT.
XAT: The Xavier School of Management administers the XAT exam open to final-year students and those with bachelor's degrees. The duration of the exam is 180 minutes.
Some entrance exams are conducted on a university basis. Some private universities conduct their entrance exams to qualify students for admission.
Admission Process
The steps for admission to an MBA in Data Analytics includes are as follows:- Entrance-Based Admission:
Students must fulfill the admission criteria which includes a bachelor's degree with a minimum passing percentage of at least 50%.
Students need to pass entrance exams like CAT, XAT, CMAT, SNAP, GMAT and other private university-based examinations depending on the requirements of different universities. Based on the cut-off score, admissions will be provided to this course. Student's chosen specializations never determine their admission into the MBA programs.
All invited candidates have to fill up the online or offline admission form and attach the necessary documents, including Aadhar card number, proof of address, proof of residency, grade sheets for classes 10 and 12 and graduation grade sheet.
After clearing the entrance exams needed by the respective universities, students need to appear for the group discussion round and the personal interview round. These rounds are conducted to assess student’s communication skills and problem-solving abilities.
The final selection in the universities is based on the overall score, which will be calculated by combining the entrance exam score, GD/PI performance, and work experience based on their respective weightage.
The entrance exam and interview results determine who is finally admitted into the MBA program in public policy. Colleges may assign different degrees of importance to the entrance exam and interview results.
The students can go through the documents with the institution before paying the costs and can enroll in the classes further
Applicants must apply to colleges that they intend to be accepted to.
The score that one achieves in undergraduate degree courses is considered an eligibility criterion in a merit-based process of entrance. Hence, attaining at least 50% in your undergraduate degree is significant.
The college admission authority releases the cut-off lists after assessing all the applicants. The candidate is eligible for admission if he has qualified for the cut-off.
The candidates go to their respective colleges to finish the final admission procedure and submit all the necessary documents and payments.
MBA in Data Analytics Syllabus
Although the topics in the MBA Data Analytics courses are not the same in every college, there are a few common topics that the course covers throughout the two years. Some of the most common and popular topics covered under this course in most universities are as follows
The college names mentioned below are the top colleges for an MBA in Data Analysis, according to the NIRF Ranking. The table includes top private colleges like Symbiosis Institute of Management and Great Lakes Institute of Management that provide a 2 year MBA and PGDM course to pursue data analytics as a career. The students interested in this program may go through the table to find more colleges.
Colleges with specialisations in Data Analytics/ Specialised MBA/PGDM in Data Analytics: Average Package
The colleges mentioned below are the top private and government colleges, according to NIRF, that provide a specialized degree in MBA in Data Analytics where the curriculum primarily focuses on data management, training the students to make data-driven market decisions and predict future trends. The table mentions the duration of the course and also highlights the average package of courses from each college.
There are various career opportunities for students who enroll in MBA Data Analytics courses. Students who enroll in the course can find work in a variety of industries, including banking, IT, multinational corporations and insurance departments. They can also work as professors or lecturers at any reputable university or institution.
The following list out some of the most in-demand MBA in Data Analytics jobs profiles
The prospects for an MBA in data analytics look bright, as companies increasingly depend upon data to inform decisions and fuel growth. With the explosive growth of big data, AI and machine learning, professionals experienced in data analytics are eagerly sought after in industries that cut across all spectrums. MBA graduates with data analytics training come equipped with both technical and leadership abilities to help interpret complex data and deploy strategic solutions to boost productivity and profitability. In terms of employment, MBA holders stand to benefit significantly from the growing development of data-based business models across various sectors including marketing, e-commerce, health, and finance. Businesses will also require better professionals who could understand regulatory frames as they move towards data privacy and protection much above those days. Because technology is constantly evolving, there will be more opportunities for experts in this industry, including positions in data strategy, management, and analytics leadership, which will help shape corporate innovation in the future.
Conclusion
An MBA in Data Analytics is becoming a popular and emerging branch nowadays as many companies need experts and skilled professionals who are skilled enough to understand and use the data given to make informed and productive decisions. The curriculum of the course teaches students hope to collect the data, how to study the data and how to explain the data in the simplest form of way. With these skills graduates can work in different areas like marketing, finance, healthcare and technology.
With these skills, graduates can work in different areas like marketing, finance, healthcare, and technology. They learn how to solve real business problems using data. As more businesses rely on data to grow and succeed which makes people with this MBA are in high demand. It is a smart choice for a strong career in today’s digital and data-driven world.
FAQs
A1) For people who are math experts, data analytics provides utility and efficient communication value. Candidates graduating from this MBA program with a concentration in data science are ready for positions in public finance, risk management, brand management, strategic planning, and management consulting.
Getting an MBA in business Analytics teaches you to analyze collected data and convert it into useful knowledge that may have a direct influence on short-term as well as long-term decisions in the company. Therefore, business analytics can be applied to virtually every kind of business, and it offers ample scope for working people who get their MBA in business analytics.
A3) MBA in Data Analytics salary in India usually earns between INR 6 LPA and INR 40 LPA. As a person obtains more expertise in their particular industry, their compensation may climb to the highest salary ₹ 35.92 Lakhs per annum.
A4) Yes. The MBA Data Analytics entrance exam is not so tough. It will be easy for someone with any background to crack. Furthermore, the prime strategy of students to clear the entrance exam with flying colors is to prepare strategically and practice aptitude-based questions.
A5) MBA Data Analytics can work as a Data Analyst, Data Engineer, Business Analyst, Data Scientist, Data Analytics Consultant, Risk Analyst and Healthcare Data Analyst among others. etc