Raj a dedicated analyst at a Mumbai-based firm with a thirst for learning beyond the ordinary. He’s dreamt of pursuing a master’s abroad but fears he lacks that crucial 16th year of education. He also worries about juggling career growth with further studies. Sound familiar?
At SDBI, we meet students like Raj every day, working professionals yearning for a powerful bridge between their current roles and future ambitions. That’s why our Post Graduate Diploma in Data Science & Business Analytics, accredited by the University of Mumbai, is designed just for you.

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Why Further Education at This Stage Matters

With industries rapidly digitising, knowledge has become currency. Data Science and Business Analytics are no longer niche - they’re pivotal. Earning an extra credential not only boosts your academic profile but propels your career into a new orbit.

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The Data Science Surge - Why Now is the Moment

• Data-driven decision-making has become non-negotiable across sectors.
• Skills in statistical modelling, AI, machine learning, and data visualisation are in high demand.
• With technology reshaping organisations, professionals who analyse data and drive business value are being rewarded handsomely. .

This makes Data Science & Business Analytics one of the most future-proof and rewarding domains today. .

Why a PG Diploma - Strategically and Practically Speaking

Here’s what makes SDBI’s PG Diploma stand out:

• Accreditation by the University of Mumbai lends credibility and global recognition.
• It awards 48 credit points, satisfying the 16-year education requirement that many international master's programs insist upon.
• The program is tailored for working professionals - you don’t need to quit your job to upskill.
• It’s a succinct 11-month weekend program, striking the perfect balance between rigour and flexibility.

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Program Deep Dive: Structure, Flexibility & Value

• Weekend Batch Schedule: Saturdays & Sundays, 7:00 AM – 4:00 PM
• In-Person Exams: Conducted on weekdays (offline)
• Curriculum Highlights:
  • Statistical techniques
  • Python & R programming
  • Database management
  • Data visualization (Power BI, Tableau)
  • Machine Learning & AI
  • NLP & Time Series Forecasting
  • Elective option in Marketing Analytics / Financial Analytics
• Capstone Project & Case Studies: Learn by doing, not just theory
• Mentorship & Placement Support: Guidance for both career shifts and higher studies abroad

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Eligibility & Admission Process

Eligibility Criteria:

• Graduates from any stream (Science, Commerce, Arts, IT, Engineering, etc.) are welcome.
• No prior coding or data background required—just a strong motivation to learn.
• Fresh graduates and working professionals can apply.

Admission Process:

1. Fill out the Application Form PGD
2. Submit academic documents for verification.
3. Pay the 50,000 registration fee to confirm your seat.
4. Receive your official admission confirmation & onboarding details.

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Faculty Expertise

Our faculty brings together:

• Industry Leaders: Data Scientists and Analysts from top companies who mentor on real-world projects.
• Academicians: University of Mumbai-certified experts ensuring academic depth.

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• Visiting Speakers: Alumni and professionals from global firms like Deloitte, KPMG, and Accenture.

Alumni Success Stories

• Placements: Past students now work as Data Analysts, Business Intelligence Consultants, and Data Engineers at companies like TCS, Infosys, Marsh McLennan, and startups.
• Abroad Education: Alumni have progressed to MSc and MS programs in the US, UK, Canada, and Europe, using this diploma to satisfy the 16-year education requirement.
• Meet Our Proud Alumni: See how our graduates have leveraged their diploma as a launchpad for global success.

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Placement & Career Pathways

After the program, graduates are equipped for roles such as:

• Data Analyst
• Business Analyst
• BI Consultant
• Machine Learning Engineer
• Financial/Marketing Analyst

Industries Hiring: Banking, IT services, consulting, retail, healthcare, e-commerce, and more.

Course Fees & Funding Flexibility

• Registration Fee: 50,000
• Total Program Fee: 1,73,191 (installment options available)
• Loan/EMI Support: Available through partnered financial institutions.

Seats are limited and allotted strictly on a first-come, first-served basis.

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Global Opportunities: Gateway to Higher Studies Abroad

By completing this program, students – just like Raj – achieve that all-important 16th year of education, meeting the eligibility criteria of top master’s programs worldwide. With 48 credits, a globally recognised diploma, faculty recommendations, and flexible payment options, you’ll stand out in any international admissions process.

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Batch Starts Soon

• Admissions Open: Apply now for the upcoming cohort.
• Batch Start Date: 06th September 2025.
• Application Deadline: Seats fill fast – secure your place early.

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In Summary: Here’s What Students Gain

• A globally validated diploma from the University of Mumbai
• Practical, job-ready skills in Data Science & Business Analytics
• Placement assistance and mentorship
• Pathway to Master’s abroad with 16th year eligibility
• Flexible schedule for working professionals

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Call to Action

Inspired to be a modern-day Raj? Take the next step:

Download the Brochure
Visit pgd.sdbi.in for more details
Connect with our counsellors today at 9594242465

This is your chance to transform ambition into achievement – with SDBI guiding the way.

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Frequently Asked Questions (FAQ)

1. Is the PG Diploma in Data Science & Business Analytics valid for applying to master’s abroad?

Yes. The program is accredited by the University of Mumbai and awards 48 credit points, which count as your 16th year of education. This makes you eligible for master’s programs in countries like the USA, UK, Canada, and Europe, where a 16-year requirement is mandatory.

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2. Who can apply for this PG Diploma?

Graduates from any stream (Science, Commerce, Arts, IT, or Engineering) can apply. Both fresh graduates and working professionals looking to shift into Data Science & Business Analytics are eligible.

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3. Do I need a coding background to join?

No prior coding experience is required. The program starts with fundamentals and gradually advances into Python, R, Machine Learning, and Data Analytics, making it accessible for students from non-technical backgrounds as well.

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4. Is this course suitable for working professionals?

Absolutely. The weekend batch (Saturdays & Sundays, 7 AM – 4 PM) is designed for working professionals. Exams are conducted on weekdays, and flexible installment options are available. You can continue working while pursuing the diploma.

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5. What kind of career opportunities can I expect after this program?

Graduates are well-prepared for roles such as Data Analyst, Business Analyst, BI Consultant, Machine Learning Engineer, and Marketing/Financial Analyst. Students also receive internship & placement support with connections to industries like IT, consulting, banking, e-commerce, and more.

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