• Bachelor’s degree in any discipline from a recognized university

• Preferred (not mandatory) background:

  • Management, Commerce, Engineering, IT, Mathematics, Statistics, Economics

• Minimum marks: 45%–50% aggregate (varies by institute)

• Final-year graduation students can apply (subject to completion)

• Basic understanding of mathematics or statistics may be required by some institutes

• 1 Year (Full-time)

• Some institutes also offer:

  • 6–9 months (fast-track programs)

  • 2 years (part-time / weekend / online mode)

The admission process for this course is simple, transparent, and fully assisted by ADMISSION DUNIYA, India’s trusted educational consultancy. Our expert counselors guide students at every step, from enquiry to final admission confirmation.

Step-by-Step Admission Process

1. Course Enquiry

   • Submit your enquiry online or directly contact our counseling team via Call or WhatsApp.

2. Free Career Counseling

   • Get personalized guidance on course selection, eligibility, colleges, fees, and career scope.

3. Eligibility Check & Document Verification

   • Our experts verify your academic eligibility and documents as per university norms.

4. College & Seat Selection

   • Choose the best college/university based on merit, budget, location, and availability.

5. Application & Admission Support

   • We assist in application filling, fee payment, and admission formalities.

6. Admission Confirmation

   • Receive official admission confirmation from the college/university.

Talk to Our Admission Experts (Interactive):

For instant admission guidance, contact ADMISSION DUNIYA now:

Call Now: 70990 92900

WhatsApp Now: 7099092900 

Why Choose ADMISSION DUNIYA?

• Pan-India admission support

• Expert counseling for Medical, Engineering, Management & Allied courses

• Transparent process & trusted guidance

• End-to-end admission assistance

Core Subjects

• Fundamentals of Business Analytics

• Business Statistics & Probability

• Data Visualization & Storytelling

• Database Management (SQL)

• Programming for Analytics (Python / R)

• Predictive Analytics

• Descriptive & Prescriptive Analytics

Advanced Topics

• Machine Learning for Business

• Big Data Analytics

• Marketing Analytics

• Financial Analytics

• Operations & Supply Chain Analytics

• Risk Analytics

• Artificial Intelligence in Business

Tools & Technologies

• Excel (Advanced)

• Power BI / Tableau

• Python / R

• SQL

• SPSS / SAS (in some institutes)

Project & Practical Work

• Capstone Project

• Live Industry Projects

• Case Studies

• Internships (in select programs)

Job Roles

• Business Analyst

• Data Analyst

• Analytics Consultant

• Marketing Analyst

• Financial Analyst

• Risk Analyst

• Operations Analyst

• Product Analyst

Employment Sectors

• IT & Software Companies

• Banking & Financial Services

• E-commerce & Retail

• Consulting Firms

• Healthcare & Pharma

• Telecom & Manufacturing

• Startups & MNCs