From One Of The Top 50 B-schools in India
PGDBA is a 9-month program designed to meet the growing industry’s requirement.
Mode of Teaching:
Engaging & Interactive Online Sessions.
Discover knowledge through Innovative Case Studies and Assignments.
Insightful live streaming sessions from Industry Experts
Experience the Business Analytics through Fascinating Industrial Visits.
Develop skills on Real-World Projects.
Take decisions on Data Insights.
Excellent career opportunities.
Become an invaluable asset to organizations.
Drive Business with predictive analytics
Stay Ahead with Advanced Analytics Skills.
Leverage through data-driven strategies.
Develop analytical thinking skills.
Collaborate with cross-functional teams for better business outcomes.
Utilize new age tools and technologies for data analysis.
Understand customer behaviour and preferences.
Ambitious individuals aspiring for top-tier job opportunities.
Students aiming to forge a career in the dynamic realm of Business Analytics.
Working professionals eager to build a comprehensive expertise in the field of Business Analytics.
Entrepreneurs wanting to enhance skills like decision-making, cost-reduction and business development.
This course is open to all graduates & final year (appeared) students. Preference will be given to candidates with Engineering, Mathematics, Statistics, and Economics background.
At the end of each semester, there shall be Term End Examination for every course. It shall be based on entire syllabus and will be further divided into 50 marks of CCA, 25 marks of term end written exams and 25 marks of term end practical exams.
Business Analyst Industry Expert
Business Analyst Project Manager
Market Research Analyst
Technical Team Leader
Big Data Analyst
Data Warehousing Expert
Business Intelligence Expert
100% Placement Assistance
Career Guidance By Experts
Pre-Placement & Placement Activities
Industrial tie-ups for practical training, internships, and certifications
3 Months Internship in Forensic Accounting specialized companies
Business analytics techniques can be categorized into four segments:
You Asked, We Answered!
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