Business schools are increasingly offering MBA programs in Big Data and Business Analytics. That's because with the rise of big data, businesses increasingly need managers who can quickly analyze and understand the implications of huge amounts of information.
An MBA program in Big Data and Business Analytics can help students sort and analyze this data, and make valuable organizational impact based on the data. As such, those with degrees in these fields can have impact on a number of areas of business, including finance, marketing, supply chain, and more.
In an MBA in Big Data or Business Analytics, students are exposed to a number of concepts important to the discipline. Classes might cover topics like predictive analysis, marketing intelligence, and econometrics, for example. Beyond MBA specializations, some business schools also offer other master's degree programs in Big Data or Business Analytics, or related programs like Marketing Intelligence or Supply Chain Analytics.
Post-MBA careers in Big Data and Business Analytics can be wide and varied. Some MBAs find jobs as analysts, and others can put their skills to use in consulting or finance organizations. Jobs in supply chain, operations management, marketing, and other areas of business are also open to those with MBAs in Business Analytics and Big Data.
What is MBA in Data Analytics?
An MBA in Data Analytics is a two-year degree course that can be pursued by anyone who can pass the basic eligibility criteria. It aims to teach individuals different techniques to convert unstructured, semi-structured or fully structured data into meaningful insights. These insights then help in the strategy design, and operational decision making to decide a plan of action.
The subjects that are commonly studied in a course in MBA in Data Analytics are Big Data, Predictive Analytics, Python, Marketing Analytics, Information Security in Business, Cloud Computing and so on.
To study an MBA in Data Analytics, students must meet the eligibility criteria set by the university they plan to join. Given below are basic requirements to pursue the same:
Data Analytics v/s Business Analytics
Many of you out there might feel that Data Analytics and Business Analytics are more or less the same but we can assure you that they are not!
An MBA in Data Analytics would equip you with the following technical skills so that you do wonders in your careers:
Your aspiration for MBA in Data Analytics wouldn’t be fulfilled without SQL. It is an easy language that is used in communications when trying to figure out relational databases. SQL appearance resonates with excel as both of these are structured, transparent and at the same time use 2D tabular format. Any motivated individual who is ready to devote some hours regularly to it can get a hang of SQL in no time.
It is a multi-paradigm language used for programming and coding. It is a unified language that can be employed for the task of running embedded systems, website construction and data science. The construction is inherently loaded with a good amount of ease, simplicity, and readability. However, the usage is extendable as per the nature of a task. Due to broad usage and a diverse base of this language, it is open-source software that is available for free and because of its common usage. In case of any queries or doubts, you can seek help from millions of people who are using it.
The graphical representation of data with the usage of visual elements like graphs, charts, maps, etc. is known as Data Visualisation. This way one can easily observe and interpret trends, and patterns. So, it works like a comprehensive tool that aids the analysis of truckloads of information and then helps make data-driven decisions. It comes in handy in various fields like Marketing, Finance, Consumer Goods, Education, Services Industry and so on.
MBA in Data Analytics: Colleges in India
A list of a few colleges in India that offer MBA Data Analytics/ Business Analytics courses is provided below:
MBA in Data Analytics: Top Recruiters
The following are some of the top recruiters who are always looking for a successful data analyst: