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. The course has dynamic job opportunities in different sectors like IT sectors, marketing, and sale, product-based industries, airport and banking sectors, and much more.
MBA Data Analysis Highlights
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Course Level |
Post-Graduation |
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Full Form |
Master of Business Administration in Data Analytics |
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Duration |
2 Years |
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Exam Type |
Semester System |
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Eligibility |
Bachelor’s degree in any discipline |
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Admission Process |
Merit and Entrance Exam Based |
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Average Salary |
INR 4,00,000-20,00,000 |
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Job Profiles |
Data Analyst, Data Engineer, Business Analyst, Data Scientist, Data Analytics Consultant, Risk Analyst, and Healthcare Data Analyst among others. etc. |
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Top Recruiting Areas |
Insurance Companies, Data Management Services, Technology Consultancy Companies, Analytics Solutions Providers, Information Management Services, Business Analytics & Research industry etc. |
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Top Recruiting Companies |
Cognizant Technology Solutions (CTS), Wipro Technologies HCL Technologies, Mahindra Satyam, Deloitte, PayPal Dell, Infosys and many more. |
Eligibility Criteria for MBA Data Analysis
1. Applicant should have done their Graduation in any discipline from a recognized university with minimum 50% marks or its equivalent CGPA.
2. Applicants should have a minimum of 3 to 5 years of work experience.
3. There is an age limit prescribed by a few institutes that provide part-time MBA degrees.
4. According to some institutes, a candidate’s age should not be less than 27 years and not more than 50 years.
5. Candidates should have aggregate marks of 40% to 60% in the undergraduate degree.
Admission Process
1. Applicant on relevant entrance examinations determines admission to various universities and colleges.
2. Some private colleges and deemed universities perform their counselling process by conducting their university-level entrance exams.
3. You must also prepare for GMAT, IELTS and TOEFL and pass them with flying colours.
Career after MBA Data Analysis
MBA Data Analysis job opportunities are wide as the course trains students both in business management and data analytics. The future is completely dependent on data. In today’s world, everyone has smartphones, tabs, and laptops and keeps updating some data every second.
Since the career growth in this sector is extremely high, MBA Data Analytics scope is very high. The course has dynamic job opportunities in different sectors like IT sectors, marketing, and sale, product-based industries, airport and banking sectors, and much more.
MBA Data Analysis 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.
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Job Profile |
Job Description |
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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. |
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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. |
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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. |
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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. |
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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. |
MBA Data Analysis Syllabus
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Semester I |
Semester II |
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Accounting for Managers |
Applied Operations Research |
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Applied Statistics for Decision Making |
Data Cleaning, Normalization and Data Mining |
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Financial Analysis and Reporting |
Econometrics |
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Macroeconomics in the Global Economy |
Foundation course in Business Analytics |
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Organizational Behavior |
Project Management |
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Research Methodology |
Spreadsheet Modeling |
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Semester III |
Semester IV |
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Applied Business Analytics |
Ethical and Legal Aspects of Analytics |
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Foundation Course in Descriptive Analysis |
Healthcare Analytics |
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Foundation Course on Predictive Analysis |
HR Analytics |
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SAP FICO |
Project Work |
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SAP HCM |
R Programming |
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Stochastic Modeling |
Social and Web Analytics |
