MBA in Business Intelligence and Analytics – Your Path to Smarter Business Decisions

Become a pro in BI tools and advanced analytics in this MBA, giving you the power to turn data into insights, automate decisions, and drive smarter, faster business growth.
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Why Choose This Program
  • Learn BI and analytics from industry professionals
  • Build skills in dashboards, reports, and insights
  • Gain experience with data tools and visual systems
  • Work on predictive and business analytics projects
  • Flexible MBA designed for working learners
  • Resume building and placement support
  • Attend expert-led BI and analytics sessions
  • Practice through mock interviews and tasks
  • Become job-ready for BI and analytics careers
Reserve Your Spot

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Start your learning journey today. Our experts will reach out to guide you in your next big step!

Overview of MBA in Business Intelligence and Analytics
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Step Into the World of BI, Analytics & Decision Intelligence

The MBA in Business Intelligence and Analytics at Teksversity builds advanced analytical, technical, and strategic skills required for modern business environments. Learners gain expertise in BI tools, dashboards, data modelling, analytics systems, and visualization techniques. The program integrates practical simulations, reporting tasks, and industry-aligned case studies that help professionals make informed decisions using data. Designed for working individuals, this flexible MBA prepares students for BI development, data analytics, reporting strategy, and insight-generation roles across multiple global industries.

Understand BI, analytics, dashboards, and modelling

Use tools for reporting, visualization, and insights

Strengthen analytical and data interpretation skills

Apply accurate and ethical data practices

Develop leadership for BI and analytics roles

Why Choose MBA in Business Intelligence & Analytics in Teksversity?

Teksversity offers a BI- and analytics-focused MBA designed to build strong problem-solving and data interpretation skills. Learners engage with dashboards, reporting systems, modelling tools, and real-world data projects that prepare them for practical BI environments.

Key Highlights of MBA in Business Intelligence & Analytics

Learning Experience
  • Case studies on BI, analytics, and reporting
  • Projects on dashboards, modelling, and insights
  • Workshops on BI tools and visualization platforms
  • Training in analytical communication and decisions
  • Sessions led by BI and analytics experts

Download Our Course Brochure

Download the detailed MBA in Business Intelligence and Analytics brochure to explore modules, BI tools, analytics frameworks, admissions, and placement support. Learn how modelling projects, reporting exercises, dashboards, and hands-on simulations help you build industry-ready BI and analytics skills.
Inside the Brochure:
  • Complete BI and analytics module structure
  • Career pathways in BI and data analytics
  • Admission and eligibility information
  • Internship & placement support overview
  • Tools, faculty, and learning methods
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Offering Universities
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Duration
Course Fee
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jain
ISONASSCOMMSMENSDC
4.8
2 Years
₹1,96,000
Total program fee
Teksversity Online Admission Process
Starting your academic journey is now simpler than ever with our streamlined online admission process. This guide outlines the straightforward steps, from creating your personal student account and submitting basic application details to uploading necessary documents and completing the secure fee payment, all leading to a quick verification and instant admission confirmation.
Guide to Online Admission Process
Step 1

Sign Up

Create your personal student account
Step 2

Fill Online Application

Enter your basic details online
Step 3

Upload Documents

Submit required certificates and ID proofs.
Step 4

Fees Submission

Complete secure online payment easily
Step 5

Document Verification

Quick review of documents and payment
Step 6

Admission Confirmation

Get instant confirmation of admission
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Frequently asked Questions
MBA in Business Intelligence & Analytics is a postgraduate program that focuses on data-driven decision-making, business analytics, predictive modelling, data visualization, and strategic insights. It prepares students to analyze complex business data and support organizational growth using modern analytical tools.
This specialization is suitable for graduates interested in analytics, business strategy, data interpretation, and technology-driven decision-making. It is ideal for students aiming to build careers in data analytics, business consulting, management, and IT.
Students develop skills in data analysis, statistical modelling, data visualization, business strategy, predictive analytics, machine learning basics, dashboard creation, and using analytics tools to solve business problems.
Core subjects include Business Intelligence, Data Analytics, Data Warehousing, Predictive Modelling, Statistical Analysis, Data Mining, Big Data, Business Strategy, Machine Learning Applications, and Data Visualization.
Graduates can pursue roles such as Business Analyst, Data Analyst, BI Analyst, Data Scientist (entry-level), Analytics Consultant, Market Intelligence Specialist, Operations Analyst, and Strategy Manager in tech, finance, retail, healthcare, and consulting sectors.
The program equips students with analytical and strategic thinking capabilities, making them valuable for organizations that rely on data for decision-making. It opens up high-growth career paths in technology, business strategy, and analytics-driven industries.
Applicants must have a bachelor’s degree in any discipline from a recognized university. Admissions may be based on merit, entrance exams, interviews, or university-specific selection criteria.
Yes. Students work on analytics projects, case studies, industry datasets, internships, and capstone projects involving real-time business intelligence applications.
The course may cover tools such as Excel (Advanced), SQL, Power BI, Tableau, Python (Basics), R, SPSS, Hadoop, machine learning libraries, and data visualization platforms used in modern analytics.
Fresh graduates typically earn ₹6–12 LPA, while professionals with specialized analytical skills may earn ₹12–20 LPA or more, depending on experience, role, and industry demand.

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