Business Analytics is the process by which businesses use statistical methods and techniques for analysing historical data in order to gain insight and improve strategic decision making. Basically, business analytics is a data management solution and business intelligence subset refers to the use of methodologies such as data mining, predictive analytics and statistical analysis in order to analyse and transform data into useful information, identify and anticipate trends and outcomes and ultimately make smoother data driven business decisions.
Introduction to MBA Business Analytics
MBA in Business Analytics is a 2-years post graduate course that is divided into 4-semesters. The course covers both the technical and business domains which are needed for dealing with future challenges in technology and data-driven environments. Business analytics spend a great time with users, clients, management and developers.
The course trains the students on data-driven decision making based on statistical and operations analysis, the formation of predictive models, applications used for optimizing techniques. The course comprises computer simulation, optimisation, statistics, decision analysis, artificial intelligence, data mining and visualisation, predictive modelling, marketing, supply chain, applications in finance and many more.
The students who have completed their degree in any stream with 50% aggregate from recognised university are eligible to apply for MBA in Business Analytics course.
The students can take admission to MBA in Business Analytics by two modes. The first one is merit-based admission and second one is direct admission.
Merit Based Admission
The students interested in merit-based admission for MBA in Business Analytics course are required to appear for entrance exams conducted at national and international levels. The students also have to appear and qualify these entrance exams in order to get merit admission to MBA course.
Name of Exam
Indian Institutes of Management
Symbiosis Institute of Management
Karnataka Examinations Authority (KEA)
Association of Indian Management Schools
Graduate Management Admission Council
All India Management Association
Xavier School of Management
The students have another option of getting admission to MBA in Business Analytics course by direct admission process. Under this mode of admission, the students are given direct admission to their desired colleges and deemed or private universities under management quota. The direct admission students enjoy many special privileges like that they are not required to apply for any entrance exam for getting admissions. They have an option to choose their desired colleges and universities and book their seats in advance even before the starting of the academic year. The students who are interested in direct admissions are required to contact Galaxy Educational Services for more details.
The students of MBA in Business Analytics will be studying the following subjects during their course duration.
Subjects of Study
Management Information System
Human Resource Management
Analytics Systems Analysis & Design
Industry Internship Programme
Operations and Supply Chain Analytics
Big Data Analytics
Ethical and legal Aspects of Analytics
Analytics Capstone Project
Career & Scope
There is a huge scope for MBA in Business Analytics students in the job markets. They are largely hired in almost all the organisations. They are largely required in data gathering and data analysing.
Salary & Emoluments
The fresh MBA in Business Analytics students will be earning around 8 lakhs to 10 lakhs per annum. The experienced professionals will be earning around 10 lakhs to 15 lakhs per annum.
Top Organisations hiring MBA in Business Analytics students
Some of the top organisations hiring MBA in Business Analytics students are:
Some of the job roles available are:
Machine Learning Analyst: Machine learning analyst is a specialist role still in its infancy. Machine learning analysts collaborate with the organization’s data science team to build programs and create algorithms to deliver data-driven products and services that enable machines to make decisions, take action and enhance user experience without any human interference. An example of this would be self-driving cars and personalized social media news feeds.
Data Architect: Data architects use extensive programming tools to design, secure data frameworks in order to manage large electronic databases for organizations. This is a highly technical role that involves ensuring the data is relevant, accurate and accessible to the organization so employees can access this information, such as financial records and marketing information, wherever and whenever they need.
Statistician: Statisticians compile, analyze and evaluate quantitative information from surveys and experiments in order to help organizations reach operational standards and advise on practical solutions to problems.
Data Analyst: Data analysts are inquisitive, highly analytical and have a way with numbers. Every organization and business collects data, whether it’s sales figures, logistics, market research or transportation costs. As a data analyst it’s your job to gather and evaluate this data in order to provide clear insights as to how the organization can improve its business strategy and make better business decisions across various areas.
Chief Data Officer: Chief data officers are business focused and have excellent expertise in IT. Relevant qualifications such as mathematics and statisticians, plus a specialized master’s and industry experience, are all essential if you want to become a chief data officer.
Project Manager: As a project manager you’ll use your data-driven business acumen to plan, budget and oversee your organization’s project/s. You will also need to be organized and possess excellent leadership and critical-thinking skills.
Market Research Analyst: Market research analysts compile complex reports, spreadsheets, surveys and opinion polls in order to gather and evaluate significant market intelligence that can help an organization market their product or service in the best way possible. Data can include consumer demographics, spending habits and sales trends, needs, interests and preferences.
There is a huge demand for MBA in Business Analytics students in the organisations. The organisations are in need of skilled MBA in Business Analytics students and are ready to pay handsome salaries. The students with a passion towards consumer data extraction and data mining can join this course.
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