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MBA in Data Analytics is a graduate degree that combines business management skills with data analytics capabilities. It provides the knowledge and resources students need to make informed decisions based on data-driven insights. The MBA course on Big Data Analytics teaches students how to gather, handle, and analyze data in order to find possibilities and growth as well as to solve difficult business challenges and optimize operations.
| Particulars | Values |
| Degree Name | MBA in Data Analytics |
| Degree Type | Postgraduate |
| Degree Duration | 2 year |
| Semesters | 4 |
| Entrance Exams | CAT, MAT, GMAT, CMAT, XAT, NMAT |
| Eligibility Criteria | Bachelor’s degree |
| Admission process | Direct admission and based on the entrance examination |
| Fees | Rs. 20,000 and Rs. 10,00,000 |
| Average Salary | Rs. 6,00,000 LPA |
| Job profiles | Data Analyst, Data Scientist, Statistician |
| Top recruiters | Latent View Analytics, Oracle, SG Analytics, Mu Sigma, Accenture, Latent View, Unmetric, iTechArt, Tableau, Manthan Systems, |
The admission process for MBA in Data Analytics varies from one institution to another. But, in general, one has to follow the given steps
In admission process for MBA in Business Analytics involves the following steps:
1-Application: Submit academic certificate, recommendation letter and a statement of purpose along with an application form.
2-Entrance Exam: Appear in one or all of the entrance exams, such as CAT, XAT, etc.
3-Group Discussion (GD): After getting shortlisted students participate in a group discussion for the assessment of their communication, teamwork, and problem-solving skills.
4: Personal Interview (PI): After qualifying the GD round Shortlisted candidates will go through a personal interview to evaluate motivation, aptitude, and fit for the program.
5-Final Selection: Final selection is made based on the above process.
Qualification requirements for an MBA in Data Analytics typically include:
1.Education: A bachelor’s degree from an accredited university or equivalent institution is required. Some programs may also require a specific academic background, such as business, computer science, statistics or other related subjects.
2.Work Experience:Although not always required, some Data Analytics MBA programs may prioritize individuals with relevant work experience in areas such as analytics, business or related topics.
3.Entrance Exam: Many Indian colleges may require scores on standardized exams such as the Common Admission Test (CAT) or other college-specific entrance exams.
4.Language Proficiency: Fluency in English is generally required. If the program is taught in English, students may be required to submit their language proficiency test scores
1.CAT (Common Admissions Test): – Admissions Test Common Entrance Test (CAT) is an entrance exam used for admission to various management programs in India. Indian business schools, including those offering MBA programs specializing in data analytics, are widely accepted.
2.GMAT (Graduate Management Admissions Test): – Designed to assess students’ analytical, writing, quantitative, speaking and reading skills. The GMAT is an important factor in the application process to many business schools around the world.
3.XAT (Xavier Aptitude Test):– XAT (Xavier Aptitude Test) is a standardized test used for admission to management programs in many other institutions across India Degree. Commonly used to access MBA programs in various fields, including those focused on data analytics.
4.NMAT (NMIMS Management Aptitude Test):– Conducted by the Graduate Management Admission Council (GMAC) and accepted by NMIMS and other institutions.
5.MAT (Management Aptitude Test):– Widely used for admission to various management programs, including MBA in Data Analytics.
6.CMAT (Common Management Admission Test): – National level entrance exam for admission to management programs in India.
7.CAT-MET (Management Entrance Test): – Conducted by Bharati Vidyapeeth Deemed University, it is accepted for admission to their MBA programs.
Essential MBA Data Analysis Skills:
1.Analytical Skills: – Ability to analyze complex data sets and draw meaningful insights from them.
2.Statistical knowledge: – Understanding of statistical methods and tools to analyze data.
3.Business Acumen:– Understanding of business concepts and ability to apply analytics in a business context.
4.Data Visualization: – Master the presentation of data results through visualization and reporting.
5.Programming skills: – Knowledge of programming languages such as Python, R or SQL to manipulate and analyze data.
6.Critical Thinking: – Ability to think critically and solve complex business problems using data-driven approaches.
7.Communication skills: – Communicate effectively to convey data information to non-technical stakeholders.
8.Decision Making: – Using data to make strategic decisions.
9.Learn about Machine Learning:– Get familiar with the basic concepts and applications of machine learning.
The MBA Data Analytics course’s semester-by-semester course breakdown is provided below:
| Semester I | Semester II |
|---|---|
| Accounting for Managers | Applied Operations Research |
| Applied Statistics for Decision Making | Data Cleaning, Normalization and Data Mining |
| Financial Analysis and Reporting | Econometrics |
| Macroeconomics in the Global Economy | Foundation course in Business Analytics |
| Organizational Behavior | Project Management |
| Research Methodology | Spreadsheet Modeling |
| Semester III | Semester IV |
| Applied Business Analytics | Ethical and Legal Aspects of Analytics |
| Foundation Course in Descriptive Analysis | Healthcare Analytics |
| Foundation Course on Predictive Analysis | HR Analytics |
| SAP FICO | Project Work |
| SAP HCM | R Programming |
| Stochastic Modeling | Social and Web Analytics |
MBA in Data Analytics Fees: The cost of an MBA in data analytics can generally vary depending on factors such as the status of the institution, the field, and the length of the program.
In general, the educational costs of such projects can range from 2 lacs to 25 lacs and can reach significant amounts.
Additionally, students must consider various costs such as convenience, materials, and expected additional fees.
| College Name | Average Fees | Average Salary Package |
|---|---|---|
| Hindustan Institute of TEchnology and Sciences | INR 2,53,000 | INR 6.1 LPA |
| Symbiosis Centre for Information and Technology | INR 6,20,000 | INR 8.2 LPA |
| Seshadripuram Institute of Management Studies | INR 3,00,000 | INR 4.9 LPA |
| Gurugram University | INR 40,000 | INR 4.1 LPA |
| Techno India University | INR 1,43,000 | INR 4 LPA |
| Centurion University of Technology | INR 85,900 | INR 5.1 LPA |
| Centurion University of Technology | INR 2,20,000 | INR 5.5 LPA |
| Graphic Era Hill University | INR 1,98,500 | INR 6.2 LPA |
| ILM University | INR 3,00,000 | INR 6 LPA |
| Amity University | INR 4,90,000 | INR 7.4 LPA |
| Colleges | Fee Structure (Entire Course) |
| SCIT Pune | Rs. 1,200,000 |
| MIT College of Management, Pune | – |
| JECRC University, Jaipur | Rs. 2,90,000 |
| Centurion University of Technology and Management, Bhubaneswar | Rs. 5,30,000 |
| SRM School of Management, Kattankulathur | Rs. 7.60,000 |
Scope of MBA in Data Analytics: MBA Degree Opportunities of Data Analytics Holders Are Promising and Diverse:
With the rapid growth of data analytics and its integration into various industries, pursuing an MBA in data analytics can open up many rewarding and impactful careers.
7.Marketing Analyst: – Salary: Competitive, with higher earning potential in marketing-focused industries.
| Mu Sigma | Absolut Data |
| Accenture | Tableau |
| Absolut Data | Manthan Systems |
| Latent View | LatentView Analytics |
| Unmetric | Oracle |
| iTechArt | SG Analytics |
| Job Profiles | Average Salary |
| Data Analyst | Rs. 4.9 LPA |
| Data Scientist | Rs. 9 LPA |
| Data Engineer | Rs. 6.2 LPA |
| Business Analyst | Rs. 4.2 LPA |
| Risk Analyst | Rs. 7.7 LPA |
A: Work experience requirements vary by program, but some programs may prioritize or require relevant work experience.
A: Skills include data analysis, statistical knowledge, business acumen, programming skills and effective communication.
A: Program lengths vary, but many full-time MBA programs last about two years.
A: Many organizations offer scholarships based on merit, need, or specific criteria.Applicants should check with their respective institutions for further details.
A: High demand due to increasing reliance on data-driven decision making across industries.
