Shiv Nadar Online MBA in Data Science & Analytics
Course Overview
Shiv Nadar University's Online MBA in Data Science & Analytics is a sophisticated 2-year programme designed for professionals aiming to master the intersection of management and big data. The curriculum integrates core business strategy with advanced technical modules such as Machine Learning, Predictive Modeling, and Business Intelligence to drive data-centric decision-making. As a UGC-entitled programme from a leading multidisciplinary institution, it ensures high academic standards and industry recognition. The flexible online format allows working executives to gain expertise in Python and R without pausing their careers. This programme emphasizes practical application through capstone projects and industry-led mentorship. Graduates are well-prepared for leadership roles in technology, consulting, and e-commerce sectors as data-driven strategists.
Accreditations
WES Recognized
Course Highlights
Designed to deliver industry-relevant skills, academic excellence, and career growth
- Advanced Predictive Modeling: Learn to forecast business trends using sophisticated statistical tools and algorithms | Machine Learning Application: Gain hands-on experience in deploying ML models for solving complex business problems | Big Data Strategy: Understand how to manage and leverage massive datasets for competitive advantage | Python for Business: Master programming skills specifically tailored for data analysis and organizational automation | Data Visualization: Use tools like Tableau and PowerBI to communicate insights effectively to stakeholders | Business Intelligence Systems: Develop strategies for implementing robust BI frameworks within modern corporate structures | Strategic Decision Making: Apply quantitative methods to optimize marketing, supply chain, and financial operations | Capstone Industry Project: Solve a real-world business problem using data science techniques in a final project.
Course Benefits
Master Data-Driven Leadership: Gain the rare ability to bridge the gap between technical data science and strategic business management.
Accelerated Career Growth: Position yourself for high-paying roles in the rapidly expanding field of data analytics and AI.
Flexible Executive Learning: Advance your education through a state-of-the-art LMS designed for busy working professionals and executives.
Premium Global Networking: Join an elite network of peers and industry mentors through Shiv Nadar University's global connections.
Course Fees
The fee structure for this online MBA in Finance and Accounting is designed to be affordable and flexible for both freshers and working professionals
Total 8 semester
INR 50,000 / Semester
*Fees may vary kindly check the actual fee with our counsellor
Full course fee
INR 4,00,000
*Inclusive of all taxes
EMI starting at
INR 16,667 / Month
*Terms & Conditions apply
Eligibility
- »
Applicants must hold a bachelor's degree or equivalent with at least 50% marks or equivalent CGPA from a UGC-Recognized Unviersity
Course Syllabus
Term 1
.
Financial Reporting & Analysis
.
Business Leadership and Organizational Behaviour
.
Data for Decision Making
.
Managerial Communication
.
Term 2
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Managerial Accounting
.
Marketing Strategy & Planning
.
Managerial Economics
.
Information System for Managers
Term 3
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Executing Marketing Plans
.
Managing People
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Macroeconomics
.
Data, Technology & Analytics for Business
Term 4
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Corporate Finance
.
Operations Management
.
Indian Economy & Geopolitics
.
Design Thinking & Innovation
Term 5
Marketing Research
Project Management
Creating & Launching Entrepreneurial Ventures
trategic Management & Competition
Term 6
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Entrepreneurial Finance
.
Business Model Innovation & Digital Transformation
.
Data Visualization & Business Intelligence
.
FinTech
Term 7
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Business Simulation
.
Capstone Project
.
Business Analytics
.
Web & Social Media Analytics
Term 8
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Business Simulation
.
Capstone Project
.
Machine Learning
.
AI For Business
Top Recruiters
Top recruiters for this course include Google, Amazon, Accenture, and Deloitte. Companies like Infosys and Tata Consultancy Services provide strong opportunities in tech and management roles.
Explore Other Specializations from Shiv Nadar University
No other specialization available.
Additional specializations from Shiv Nadar University will appear here once they are available.
FAQs
What is the official recognition status of Shiv Nadar University's Online MBA in Data Science & Analytics program?
The Online MBA in Data Science & Analytics from Shiv Nadar University is a UGC-DEB approved postgraduate degree, and the university itself holds the prestigious 'Institution of Eminence' (IoE) status along with NAAC A+ accreditation, ensuring its credibility in the data-driven business world .
What academic background do I need to join the Online MBA in Data Science & Analytics at Shiv Nadar University?
Candidates must hold a bachelor's degree in any discipline from a recognized university with at least 50% marks. While work experience is preferred, it is not mandatory for admission to this program .
Can you provide an overview of the fee structure for the Shiv Nadar University Online MBA in Data Science & Analytics?
The total program fee is approximately ₹5,00,000 for the full two years. This can be paid in installments of ₹1,25,000 per quarter/semester, with an initial admission deposit of ₹25,000. EMI options are also available starting from around ₹7,844 per month . For a detailed breakdown, please get in touch with CourseConnect.
What is the step-by-step admission process for the Shiv Nadar University Online MBA in Data Science & Analytics for 2026?
The simplest way to apply is through CourseConnect. Our dedicated counselors will help you with online registration, form filling, eligibility checks, document upload (graduation marksheets, ID proof, photo), fee payment, and final enrollment with Shiv Nadar University's Academy of Continuing Education (ACE) .
What kind of job roles can I target after completing the Online MBA in Data Science & Analytics from Shiv Nadar University?
Graduates are well-prepared for roles such as Business Analyst, Data Scientist, Machine Learning Engineer, Business Intelligence Analyst, and Analytics Manager, with placement support from top recruiters like Accenture, Deloitte, EY, IBM, and Amazon .