MBA in Data Science - Transform Data Into Strategy and Business Growth

Earn your Master of MBA in Data Science degree and build expertise in analytics, modelling, AI tools, and data-driven decision-making to lead innovation and digital transformation in modern organizations.
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Why Choose This Program
  • Comprehensive and industry-focused MBA in Data Science curriculum
  • Learn from experienced data scientists and analytics experts
  • Real-world projects in machine learning, AI, and big data processing
  • Focus on predictive modelling, business intelligence, and data visualization
  • Strengthen analytical, technical, and strategic decision-making skills
  • Practical exposure through datasets, tools, and case studies
  • Blend of management principles with real-world data science for MBA applications
  • 100% placement assistance and continuous career support
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Overview of MBA in Data Science Program
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Build a Future in Data Analytics, Machine Learning, and AI Leadership

The MBA in Data Science program at Teksversity equips learners with advanced knowledge in analytics, machine learning models, and business intelligence frameworks. This master’s program helps professionals translate data into strategic insights, automate processes, and enhance organizational performance. Through real-time case studies, hands-on projects, and tool-based training, students gain practical expertise in data engineering, statistical modelling, and visualization. The MBA in Data Science for working professionals offers flexible online learning for individuals looking to upgrade their career without career interruption.

Understand key principles of data analytics, modelling, and visualization

Master tools for machine learning, big data processing, and business intelligence

Develop analytical and strategic problem-solving abilities

Apply data ethics, governance, and responsible AI practices

Build readiness for leadership and managerial roles across diverse industries

Why Choose MBA in Data Science in Teksversity?

Choosing Teksversity for your online MBA in Data Science means joining a program that blends analytics expertise with strategic leadership. The curriculum emphasizes data-driven innovation, digital readiness, and analytical precision essential skills in today’s AI-powered business environment.

Key Highlights of MBA in Digital Entrepreneurship

Learning Experience
  • Case studies on data-driven business decisions
  • Hands-on projects in data analysis, machine learning, and AI
  • Practical training on Python, SQL, R, and data science tools
  • Workshops on Power BI, Tableau, and data visualization
  • Exposure to real-world datasets and industry problems
  • Critical thinking and analytical problem-solving practice
  • Guest sessions with data scientists and analytics leaders
  • Cross-functional business and data-driven projects
  • Continuous assessments and skill evaluations

Download Our Course Brochure

Step into the world of analytics and innovation with Teksversity’s MBA in Data Science program. Designed for leaders and professionals, this course focuses on data-driven strategy, decision-making, and digital transformation.
Inside the Brochure:
  • Detailed MBA in Data Science curriculum and course structure
  • Career pathways and leadership opportunities
  • Admission process and eligibility details
  • Internship and placement assistance overview
  • Learning tools, mentorship, and progress tracking features
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Duration
Course Fee
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amity
ISONASSCOMMSMENSDC
4.8
2 Years
₹1,99,000
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
An MBA in Data Science is a postgraduate program that blends business management skills with data analytics, artificial intelligence, machine learning, and big data technologies to prepare students for data-driven leadership roles.
The MBA in Data Science is a 2-year postgraduate program divided into 4 semesters, combining management concepts, data technologies, hands-on projects, and real-world case studies.
This program is ideal for graduates, working professionals, managers, analysts, and engineers who want to build careers in analytics, AI-driven business roles, or digital transformation leadership.
The syllabus includes data analytics, machine learning, AI, Python/R programming, big data technologies, SQL, business intelligence, cloud computing, statistics, and AI-driven business strategy, with capstone projects and internships.
Career roles include Data Scientist, Data Analyst, Business Intelligence Manager, AI Consultant, Machine Learning Engineer, Analytics Manager, and Data Strategy Lead across industries like IT, finance, healthcare, e-commerce, and consulting.
Fresh graduates can expect ₹6–10 LPA. With experience and specialization, salaries can range from ₹15–30+ LPA depending on skills, company, and industry.
Industries such as IT, finance, healthcare, e-commerce, consulting, retail, manufacturing, and technology startups actively hire graduates due to rising demand for analytics and AI skills.
An MBA in Data Science focuses on business strategy and leadership using data insights, preparing students for managerial roles, while an MSc in Data Science is more technical and research-driven.
Yes, the program offers flexible formats such as part-time, weekend, online, and executive options, making it suitable for working professionals.
Placement support includes campus drives, mock interviews, resume building, mentorship, industry partnerships, and opportunities for internships and live projects.

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Hyderabad | Kakinada

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