MBA in Analytics & Data Science – Your Guide to Data-Driven Business Excellence

Transform raw data into strategic insights with industry-aligned learning that strengthens your analytics, BI, and decision-making skills.

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Why Choose This Program?

Learn analytics from expert BI & AI professionals
Build strong modelling and visualization abilities
Work on real analytics and predictive projects
Improve strategic and analytical decision-making
Access flexible learning for working professionals
Receive resume and placement support
Attend expert-led AI and BI webinars
Practice through mock interviews and tasks
Become job-ready for analytics and BI roles

Reserve Your Spot

*No cost EMI

Overview of MBA in Analytics & Data Science

Enter the world of Advanced Analytics & Data Science

The Online MBA in Analytics & Data Science at Teksversity strengthens analytical, technical, and strategic skills necessary for data-driven leadership. Learners build expertise in data modelling, BI systems, ML basics, and visualization techniques through practical projects, simulations, and case-based training. The program helps professionals interpret complex datasets, solve analytical problems, and make strategic decisions using data. Designed for working individuals, the flexible structure enables continuous upskilling while preparing students for careers in analytics, BI development, data strategy, and consulting across global industries.

Understand analytics, modelling, BI, and ML basics

Use dashboards, visual tools, and reporting systems

Strengthen analytical and quantitative problem skills

Apply ethical and accurate data handling methods

Develop leadership for analytics-driven roles

Why Choose Teksversity for MBA in Analytics & Data Science at Teksversity?

Teksversity offers a practice-focused MBA that blends analytics, BI, modelling, and visualization learning with real-world industry exposure. Students engage with tools and simulations that closely replicate actual workplace analytics environments, helping them build job-ready skills.

Key Highlights of the Data Science and Analytics MBA

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Learning Experience

Case studies on analytics and predictive modelling
Projects on modelling, dashboards, and reporting
Workshops on analytics tools and cloud platforms
Leadership training in analytical communication
Guest lectures by BI and ML practitioners

Support & Assistance

One-on-one mentorship for analytics learning
24/7 access to study materials and tools
Recorded classes for flexible study plans
Personalized support for academic progress
Internship assistance for analytics exposure

Career Support

Placement assistance for analytics job paths
Resume building for BI and data roles
Mock interviews with analytics experts
Career mapping for targeted job options
Leadership and professional readiness

Networking & Peer Learning

Webinars with analytics and AI industry leaders
Peer collaboration on modelling projects
Alumni sessions with data experts
Group tasks on BI and strategy modelling
Global networking in virtual meetups

Learning Experience

Case studies on analytics and predictive modelling
Projects on modelling, dashboards, and reporting
Workshops on analytics tools and cloud platforms
Leadership training in analytical communication
Guest lectures by BI and ML practitioners

Download Your Free Brochure

Download the detailed MBA in Analytics & Data Science brochure to explore program structure, analytics tools covered, career pathways, admission procedures, and placement support.

Inside the Brochure:

Complete program structure and modules
Career pathways in analytics and BI
Admission and eligibility information
Internship and placement support details
Tools, faculty, and learning methods

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Frequently asked Questions

An MBA in Analytics & Data Science is a specialized management program that integrates business strategy with data analytics, AI tools, statistical modelling, and decision science. It prepares students to interpret data, build insights, and make strategic, data-driven business decisions.

The curriculum covers business analytics, predictive modeling, machine learning fundamentals, data visualization, statistics, big data concepts, SQL, Python, AI basics, and core MBA subjects such as marketing, finance, and strategic management.

Graduates can pursue roles such as Data Analyst, Business Analyst, BI Analyst, Analytics Consultant, Marketing Analyst, Operations Analyst, and entry-level Data Scientist across IT, finance, healthcare, e-commerce, and consulting industries.

Salaries vary based on skills and industry, but analytics professionals generally earn strong compensation, especially in IT, BFSI, e-commerce, consulting, and product-based companies. With experience, graduates can advance into high-paying managerial and leadership roles.

The scope is rapidly growing as organizations adopt AI, automation, and data-driven decision-making. Graduates can explore opportunities across IT, healthcare, finance, telecom, retail, e-commerce, consulting, manufacturing, and emerging tech-driven startups.

Students gain hands-on experience through live projects, analytics tool training, real-world case studies, internships, business simulations, and creating dashboards that solve practical decision-making problems.

Emerging roles include AI & Automation Analyst, Machine Learning Associate, Entry-Level Data Engineer, Product Analytics Specialist, Customer Insights Analyst, and Business Intelligence Developer.

No, prior programming experience is not required. The program teaches beginner-friendly tools such as Python, SQL, Excel, Power BI, and essential analytics platforms from the ground up.

You will learn Python, SQL, Power BI/Tableau, Advanced Excel, data visualization tools, machine learning fundamentals, predictive analytics models, and industry-standard BI and analytics platforms.

You can apply by filling out the application form on our website or by reaching out to us through phone or email. Our admissions team will guide you through the entire process and help you complete your enrollment smoothly.

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Hyderabad | Kakinada