The goal of the undergraduate and post graduate Business Analytics program is to provide students with the tools they need to analyze and comprehend company data so they can make wise decisions. Subjects like data analysis, data mining, modeling of predictions, data visualization, and business intelligence are covered in the three year study. Students gain knowledge of how to solve business issues, enhance operations, and inform strategic choices by applying analytical tools and methodologies. Graduates are better prepared for careers in data analysis, business intelligence, and strategic planning through projects and internships that provide them with real world experience. Additionally, graduates might seek certificates in analytics or further education.
| Sl.No | Professional Opportunity | Description |
|---|---|---|
| 1 | Business Analyst | Carries out data analysis to offer insights and suggestions for business choices. |
| 2 | Data Analyst | Carries out data analysis to offer insights and suggestions for business choices. |
| 3 | Data Scientist | Uses advanced analytical techniques and algorithms to interpret complex data and make predictions. |
| 4 | Marketing Analyst | Evaluates customer behaviour and market trends to improve marketing tactics. |
| 5 | Operations Analyst | Draws conclusions from data to evaluate and enhance operating procedures. |
| 6 | Financial Analyst | Studies financial data in order to support financial planning and investment decisions. |
| 7 | Business Intelligence Analyst | Creates and oversees business intelligence solutions to aid in the understanding of data by enterprises. |
| 8 | Risk Analyst | Evaluates and controls risks by forecasting possible difficulties and using data analysis. |
| 9 | Consultant | Offers professional guidance on the use of data by organizations to enhance performance and address challenges. |
| 10 | Product Analyst | Uses user input and product performance analysis to inform future development and enhancements. |
| Program Level | Program | Eligibility Criteria | Stream | Minimum Marks |
|---|---|---|---|---|
| Bachelor's | BBA in Business Analytics | 12th pass from a recognized board | Commerce/Any Stream | 55%-60% |
| Master's | MBA in Business Analytics | Bachelor’s degree from a recognized university | Any Stream | 55%-60% |
| PhD | PhD in Business Analytics | Master’s degree in a relevant field | Business/Management/Related field | 55%-60% |
| NIRF Rank | Leading Institute | Location |
|---|---|---|
| 1 | Indian Institute of Management | Ahmedabad |
| 2 | Indian Institute of Management Bangalore | Bengaluru |
| 3 | Indian Institute of Management Kozhikode | Kozhikode |
| 4 | Indian Institute of Technology | Delhi |
| 5 | Indian Institute of Management | Calcutta |
| 6 | Indian Institute of Management | Mumbai |
| 7 | Indian Institute of Management | Lucknow |
| 8 | Indian Institute of Management | Indore, Madhya Pradesh |
| 9 | XLRI - Xavier School of Management | Jamshedpur, Jharkhand |
| 10 | Indian Institute of Technology | Mumbai, Maharashtra |
| Sl.No | Entrance Exam | Description |
|---|---|---|
| 1 | CET | Common Entrance Test for admission to BBA and other undergraduate programs in MAKAUT affiliated colleges. |
| 2 | AIMA UGAT | Undergraduate Aptitude Test conducted by AIMA for admission to BBA and other undergraduate programs. |
| 3 | CAT | Common Admission Test conducted by IIMs for admission into MBA programs across India. |
| 4 | MAT | Management Aptitude Test conducted by AIMA for MBA admissions. |
| 5 | XAT | Xavier Aptitude Test conducted by XLRI for admission into MBA programs. |
| 6 | GMAT | Graduate Management Admission Test used for MBA admissions globally, including in India. |
| 7 | CMAT | Common Management Admission Test conducted by NTA for admission to MBA programs in AICTE-approved institutions. |
| 8 | SNAP | Symbiosis National Aptitude Test conducted by Symbiosis International University for MBA admissions. |
- Data Analysis and Interpretation: Use statistical software and tools to analyze corporate data in order to find patterns, trends, and insights that will help you make decisions based on facts.
- Report Generation: Produce and provide thorough reports, dashboards, and visualizations to stakeholders so they can make educated business decisions.
- Business Problem Solving: Use analytical models and practical recommendations to work with cross-functional teams to overcome business difficulties.
- Constant Learning: To improve your analytical abilities and business sense, stay current on the newest analytics tools, methods, and market trends.
| PROS | CONS |
|---|---|
| There is a great need for business analytics abilities across a wide range of sectors, which presents opportunities for professional advancement and good job prospects. | Students without a strong foundation in mathematics may find the program's heavily technical and statistical courses challenging. |
| The curriculum offers a skill set that is adaptable to many different business roles, including operations, finance, marketing, and strategy. | Students without a strong foundation in mathematics may find the program's heavily technical and statistical courses challenging. |
| Giving students the tools they need to make data-driven decisions is important because it allows them to succeed in the ctthroat corporate world of today. | Data driven choices might be challenging to make since they may have a significant impact on the business. |
| Because business analytics requires specialized skills and knowledge, careers in the field frequently provide excellent pay and perks. | In comparison to other commercial areas like marketing or entrepreneurship, the concentration on data and analysis may limit opportunities for creative thinking. |