Transform Your Career with an MBA in Business Analytics at GNA University Powered by upGrad
The MBA in Business Analytics is designed to equip students with a strong foundation in data-driven decision-making, combining business acumen with cutting-edge analytical skills. This program integrates advanced analytical techniques, machine learning applications, and business intelligence tools to help students drive strategic decision-making in organizations. ...
Download MBA in Business Analytics Brochure
Program Highlights
- 700+ interactive sessions covering key areas of analytics and business strategy
- Real-world business challenges to develop practical, hands-on skills
- Guidance from industry leaders to enhance your learning and career trajectory
With a curriculum designed to meet the evolving needs of industries, you’ll gain proficiency in areas like data visualization, predictive analytics, big data, and AI-powered business solutions—empowering you to lead in a data-driven business world
Career Pathways:
Graduates of this program can explore high-demand career opportunities in data analytics, machine learning, and business intelligence, including:
- Business Analyst
- Data Analyst
- Machine Learning Analyst
- Business Intelligence Specialist
- Marketing & Sales Analyst
- Operations Analyst
- Big Data Consultant
- E-commerce Analyst
Why Choose This Program?
- Industry-Aligned Curriculum – Developed in collaboration with industry experts, ensuring students learn the latest tools, trends, and methodologies in business analytics.
- Hands-On Learning – Gain practical experience with real-world datasets, case studies, and industry projects to build expertise in Excel, Python, SQL, Tableau, Power BI, and PySpark.
- Capstone Projects & Industry Exposure – Work on real-world business challenges such as SaaS Pipeline Conversions, Bank Marketing Analysis, Sun Pharma Case Study, and E-commerce Analytics.
- Expert Faculty & Mentorship – Learn from experienced faculty and industry professionals who provide guidance on analytics-driven business solutions.
- Practical & Application-Based Approach – Leverage a structured blend of live lectures, hands-on practical, and project-based learning to develop essential analytical skills.
Course Module
- Business Problem Solving & Storytelling – Learn structured problem-solving and data-driven storytelling techniques.
- Data Analysis in Excel – Master advanced Excel techniques and financial modeling.
- Python for Data Analytics – Gain expertise in Python programming for data science and visualization.
- Exploratory Data Analysis & SQL – Work with databases, perform data modeling, and write advanced SQL queries.
- Inferential Statistics & Hypothesis Testing – Understand probability distributions, hypothesis testing, and statistical analysis.
- Data Visualization & Business Intelligence – Learn Tableau, Power BI, and other visualization techniques.
- Predictive Analytics & Machine Learning – Explore regression analysis, clustering, classification, and time-series forecasting.
- Big Data & Business Strategy – Understand big data ecosystems, PySpark, data strategy, and architecture.
Fee Structure: 126000 Per Semester *Scholarships Available
PLACEMENTS
- 27 LPA Highest Placements
- 6.5 LPA Average CTC
- 23k/ month Average Stipend
Hiring Partner
