MBA in Data Science and Analytics – Your Path to Data-Driven Business Excellence
Earn your Master of MBA in Data Science and Analytics degree and develop advanced skills in modelling, AI tools, analytical frameworks, and data-driven decision-making.
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Why Choose This Program
- Learn analytics from expert data science educators
- Build modelling, ML, and visualization skills
- Work on real predictive and BI-based projects
- Improve analytical and strategic thinking
- Flexible MBA designed for working learners
- Resume and placement support included
- Attend expert-led analytics and ML webinars
Reserve Your Spot
*No cost EMI
Overview of MBA in Data Science and Analytics
Step Into the Future of Analytics With Industry-Aligned Training
The MBA in Data Science and Analytics at Teksversity develops analytical, technical, and managerial skills essential for modern data-driven careers. Students gain expertise in modelling, BI systems, machine learning basics, visualization tools, and data-driven decision-making. The curriculum integrates academic learning with hands-on simulations, datasets, and case-based analytical training. Designed for working professionals, the program enables flexible upskilling and prepares learners for roles in data analytics, BI development, ML operations, business strategy, and digital transformation across industries.
Understand the core principles of corporate and managerial finance
Master tools for data-driven financial decision-making
Develop strategic, analytical, and leadership capabilities
Apply ethical and sustainable finance practices
Prepare for leadership roles in business and finance sectors
Why Choose MBA in Data Science and Analytics in Teksversity?
Teksversity offers a practice-focused MBA integrating analytics, ML, BI, and modelling with real industry exposure. Students engage in projects, simulations, and tools that mirror real-world data environments, building strong practical competence.
Key Highlights of MBA in Data Science and Analytics
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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
- Sessions led by data analytics professionals
Support & Assistance
- One-on-one academic and analytics mentorship
- 24/7 access to learning resources
- Recorded classes for flexible study
- Personalized support for academic progress
- Internship support in analytics roles
Career Support
- Placement support for analytics job paths
- Resume building for BI and data roles
- Mock interviews with analytics experts
- Career mapping for targeted job options
- Professional readiness and leadership skills
Networking & Peer Learning
- Webinars with analytics and ML industry experts
- Peer collaboration on modelling projects
- Alumni sessions with analytics professionals
- 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
- Sessions led by data analytics professionals
Download Our Course Brochure
Download the detailed MBA in Data Science and Analytics brochure to explore modules, tools, assessments, admissions, and placement support. Learn how practical simulations, datasets, BI dashboards, and ML-focused projects strengthen your skills for real analytics roles.
Inside the Brochure:
- Complete program structure and modules
- Career pathways in analytics and BI
- Admission and eligibility information
- Internship & placement support details
- Tools, faculty, and learning methods
Offering Universities
University
Accreditations
Rating
Duration
Course Fee
Action
ISONASSCOMMSMENSDC
4.8
2 Years
₹2,00,000
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 1
Sign Up
Create your personal student account
Step 2
Fill Online Application
Enter your basic details online
Step 2
Fill Online Application
Enter your basic details online
Step 3
Upload Documents
Submit required certificates and ID proofs.
Step 3
Upload Documents
Submit required certificates and ID proofs.
Step 4
Fees Submission
Complete secure online payment easily
Step 4
Fees Submission
Complete secure online payment easily
Step 5
Document Verification
Quick review of documents and payment
Step 5
Document Verification
Quick review of documents and payment
Step 6
Admission Confirmation
Get instant confirmation of admission
Step 6
Admission Confirmation
Get instant confirmation of admission
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Frequently asked Questions
An MBA in Data Science and Analytics is a postgraduate program that combines business management with data analytics, machine learning, statistics, and data-driven decision-making. It trains students to use data to solve business problems and drive strategy.
This program is ideal for graduates interested in analytical roles, business intelligence, technology management, decision sciences, or those aiming to work in data-driven industries like tech, finance, healthcare, and e-commerce.
Students develop skills in data analysis, statistical modeling, SQL, Python/R, machine learning fundamentals, business intelligence, predictive analytics, data visualization, data-driven strategy, and project management.
Core subjects include Business Analytics, Data Mining, Machine Learning, Big Data Technologies, Predictive Modelling, Data Visualization, BI Tools, Business Strategy, Statistics, and Data Governance.
Graduates can work as Data Analyst, Business Analyst, Data Scientist, BI Analyst, Analytics Consultant, Machine Learning Engineer (entry-level), Product Analyst, or Strategy Analyst across various industries.
Yes. The program is structured for both technical and non-technical learners. It teaches analytics skills from the basics while building business and management capabilities for leadership roles.
Applicants must hold a bachelor’s degree in any discipline. Some universities may require entrance exams, work experience, or a basic understanding of mathematics and logical reasoning.
Yes. Students work with datasets, case studies, analytics tools, machine learning mini-projects, data visualization dashboards, and industry projects to build real-world skills.
The course may include Python, R, SQL, Tableau, Power BI, Excel, Hadoop, Spark, TensorFlow (basics), and cloud analytics tools depending on the curriculum.
Freshers typically earn ₹6–12 LPA, while candidates with strong technical skills, experience, or certifications may earn ₹12–20 LPA or more in analytics and business intelligence roles.
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Hyderabad | Kakinada
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