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DPU Online MBA in Business Analytics

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Course Overview

This Online MBA develops expertise in data-driven decision-making. Through modules in statistics, predictive analytics, machine learning, and visualization tools, students learn to extract strategic insights and drive business growth. Graduates emerge ready for roles in analytics, consulting, fintech, and data-driven leadership.

Accreditations

NAAC B
NAAC B
UGC-DEB Approved
UGC-DEB Approved
AICTE Approved
AICTE Approved
NAAC A+
NAAC A+
UGC Approved
UGC Approved

Course Highlights

Designed to deliver industry-relevant skills, academic excellence, and career growth

  • Real-world labs using Python, R, Tableau, Power BI
  • Covers predictive modeling, big data, machine learning, and NLP
  • Project-based learning with industry case studies
  • UGC-entitled MBA with strong domain relevance in analytics.

Course Benefits

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Master Python, R, SQL, Tableau, and Power BI in structured lab environments.
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Use data models, forecasting, and ML tools to guide executive decisions.
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Prepares for diverse roles in finance, healthcare, marketing, operations, and consulting.
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Online labs, recorded lessons, and flexible scheduling tailored for working individuals.

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 2 semester

INR 94,700 / Semester

*Fees may vary kindly check the actual fee with our counsellor

Full course fee

INR 1,89,400

*Inclusive of all taxes

EMI starting at

INR 7,892 / Month

*Terms & Conditions apply

Eligibility

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    Candidates who have completed a Bachelor’s degree with a minimum of 50% marks for the general category (45% for the reserved category) in any discipline can apply for an online MBA program.

Certificate for DPU Online MBA in Business Analytics Management, clean and professional design with official formatting

Course Syllabus

Semester 1

Principles of Management & Organisation Behaviour
Managerial Economics
Financial Reporting & Analysis
Decision Science & Business Analytics
Marketing Management
Professional Communication Skills

Semester 2

Marketing Management
Financial Management
Operations Management
Management Information System
Strategic Management & Business Policy
Entrepreneurship Development

Semester 3

Business Analytics-I
Business Analytics-II
DBMS
Business Statistics and Econometrics
Performing Analytics with Python.
R programming for Data analysis and Visualization
Generic Elective-I

Semester 4

Python Programming for data visualization
Business Mathematics & Optimization Techniques
Generic Elective-II
Project Work Report

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.

tcs
wipro
infosys
hcl
amazon
google
kpmg
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hdfc

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FAQs

Is this MBA degree recognised and industry-relevant?

Yes. It is UGC-entitled and awarded by DY Patil University, widely recognised in the analytics space

Do I need coding experience to apply?

No. Basic programming will be taught; analytical aptitude and willingness to learn are sufficient.

Will I get an internship or project support?

es. Semester 3 includes a practical analytics project or internship with placement support.

What career paths are available after the MBA?

Graduates can take up roles such as Business Analyst, Data Scientist, Analytics Consultant, or BI Manager.

Are labs included in the curriculum?

Yes. Every semester incorporates hands-on labs with Python, R, ML, and data visualisation tools.

Can I select electives in the final semester?

Yes. Electives include domain-specific analytics like FinTech or Consumer Analytics.

How many subjects are covered?

Approximately 26–28 subjects spanning statistics, ML, BI tools, and strategic business modules

Is this suitable for working professionals?

Absolutely. The course is fully online with flexible scheduling, live and recorded sessions.

Are scholarships or EMI options available?

Yes. Early-bird scholarships and EMI/loan facilities are offered to eligible candidates.

What technology will I need?

A laptop/desktop with internet access and basic data science tools (Python, R, Tableau). LMS access provided.