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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.

Course Highlights

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

Master Python, R, SQL, Tableau, and Power BI in structured lab environments.

Use data models, forecasting, and ML tools to guide executive decisions.

Prepares for diverse roles in finance, healthcare, marketing, operations, and consulting.

Online labs, recorded lessons, and flexible scheduling tailored for working individuals.

CourseConnect Benefits

What additional you get from CourseConnect

Mock Interview➔
Resume Building➔
Alumni Network➔
Career Guidance➔

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Have queries or need guidance? Our experts can help you decide.

Eligibility

»
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

Fees

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

Talk to our Career Companion

Course Syllabus

S.No	Credit	Subject
1		Principles of Management & Organisation Behaviour
2		Managerial Economics
3		Financial Reporting & Analysis
4		Decision Science & Business Analytics
5		Marketing Management
6		Professional Communication Skills

S.No	Credit	Subject
1		Marketing Management
2		Financial Management
3		Operations Management
4		Management Information System
5		Strategic Management & Business Policy
6		Entrepreneurship Development

Personalized counseling helps you choose the best career fit course.

Only accredited and top ranked university programs are made available here.

Complete support for applications, documents, and all required formalities provided.

Placement training ensures you connect with top recruiters for jobs.

Our students consistently achieve better salaries and rapid career growth.

ProfessionalProfiles

Machine Learning Engineer

Designs and deploys ML pipelines.

AVG SALARY28.0 LPA

Data Engineer

Manages ETL processes and data architecture

AVG SALARY20.0 LPA

Business Intelligence Manager

Creates dashboards and business metrics for leadership

AVG SALARY22.0 LPA

FinTech Analytics Manager

Analyzes financial and risk data to guide fintech products.

AVG SALARY20.0 LPA

Marketing Analytics Lead

Optimizes campaigns using data modeling and segmentation.

AVG SALARY18.0 LPA

Business Analyst

Extracts strategic insights using data tools.

AVG SALARY14.0 LPA

Data Scientist

Builds predictive models and machine learning solutions.

AVG SALARY22.0 LPA

Analytics Consultant

Advises clients on analytics-driven decision frameworks.

AVG SALARY25.0 LPA

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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.

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