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MBA in Data Science & Business Analytics in Jaipur | NIMS University Rajasthan

MBA in Data Science & Business Analytics at NIMS University is designed to combine business strategy with advanced analytics and data science techniques. The program focuses on data-driven decision-making, predictive analytics, and business intelligence to prepare students for leadership roles in analytics and technology-driven organizations.

100%
Scholarship
45000+
Placements

Why NIMS School of Business

  • Industry-oriented curriculum focused on data science, analytics, and business intelligence
  • Expert faculty with experience in analytics, AI, statistics, and consulting
  • Hands-on learning through real-world datasets, tools, and live projects
  • Internship opportunities with analytics firms, tech companies, and corporate organizations
  • Strong placement support in data analytics, consulting, and business strategy roles

Committed to
Knowledge, Innovation
& Excellence

Nims University Rajasthan, Jaipur. One of the Leading Universities in India and a largest self-financed university in Rajasthan, is structured as a composite model university. A legendary in quality teaching and action oriented research in all disciplines.

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NIMS University MBA in Data Science & Business Analytics Detailed Fee Structure

Global Dual Degree with a prestigious USA university is included in the Given fees

Duration: Two Years Duration

Tuition Fee: ₹300,000 / year

Hostel Mandatory
Hostel & Mess Fee Discounted Fee Tuition Fee Total Payable
₹200,000 ₹80,000
(discount on tuition fees)
₹220,000 ₹420,000
Tuition Fee: ₹220,000 per year +
Hostel Fees: ₹200,000 per year

NIMS University MBA in Data Science & Business Analytics
Scholarship Details

Minimum 60% required in 10th/12th Std CBSE, ICSE, IGCSE, State Board for UG courses as applicable and 60% required in graduation for PG courses to avail below NEXT scholarship

Percentage Required Scholarship Percentage
70% - 79.99% 15% on First Year Tuition Fees
80% - 89.99% 25% on First Year Tuition Fees
90% - 94.99% 50% on First Year Tuition Fees
95% - 100% 100% on First Year Tuition Fees
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Why Study MBA in Data Science & Business Analytics at NIMS Jaipur

Advanced understanding of data analytics, machine learning, and business intelligence

Strategic insights into data-driven decision-making and predictive modeling

Hands-on exposure through real-world datasets, analytics tools, and case studies

Skill development in data visualization, problem-solving, and critical thinking

Preparation for leadership roles in analytics, consulting, and technology domains

Opportunities to work with top global companies in data science and business analytics

Industry-Integrated Degrees with Top Global Corporations.

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Career Opportunities after MBA in Data Science & Business Analytics

Data Scientist Business Analyst Data Analyst Business Intelligence Manager Analytics Consultant Machine Learning Analyst Product Analyst Strategy Analyst AI & Analytics Specialist Data Strategy Manager

Discover More in Our Brochure

Everything you need to know about the University in one place.

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Shaping Careers with Strong Placements

  • 1.2 Cr. Highest Overseas
  • 45000+ Placements
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350+ Global Academic Partnerships Worldwide

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Frequently Asked Questions -
MBA in Data Science & Business Analytics

Get answers to common queries about MBA in Data Science & Business Analytics including eligibility, duration, and career scope.

Still Have Questions?

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What is the eligibility for this program? +
Candidates must have completed a Bachelor's degree from a recognized university.
What is the duration of the program? +
The program duration is typically 2 years, divided into 4 semesters.
What are the career options after this course? +
Students can pursue careers in data science, analytics, consulting, business intelligence, and technology-driven roles.
Does NIMS University provide practical exposure? +
Yes, the program includes internships, live projects, and real-world analytics case studies.
Is this a good career option? +
Yes, it offers excellent career opportunities in high-demand data-driven roles across industries globally.