Masters in Data Science & Big Data Analytics (AI/ML)

In Partnership with the University of Mumbai & Patkar Varde College (NAAC 'A+' Grade)

Earn a globally recognized Masters degree to accelerate your career.
Master High-Paying, Job-Ready Skills in Data Science, Big Data Analytics, and AI/ML
Experience two years of immersive, full-time learning - blending academics, practicals, projects and vibrant campus life.
Learn from working tech professionals with an up-to-date curriculum, not by textbook teachers.
Get up to 30% Scholarship - Save ₹1.50 Lakh/year
Opportunity open for all Streams.

Ready to Build Your Dream Career in Data/AI?

Fill out the form to download the complete program brochure and have an academic counselor get in touch with you.

Join the Network of Achievers Backed by a Legacy of Trust!

Affiliations & Accreditation

Our Alumni Work At

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Program Highlights

Official Mumbai University Master's Degree

Gain a prestigious qualification from a 160-year-old university, giving you a competitive edge in the job market.

Industry-Centric Curriculum

Developed and delivered by Data Science & AI/ML experts, our curriculum focuses on practical skills, industry projects, case studies and capstone projects.

Dedicated Student Mentorship

Receive one-on-one guidance from a dedicated mentor to navigate the curriculum and align your learning with your career aspirations.

Comprehensive Placement Support

From resume building and mock interviews to exclusive access to our hiring partners, we are committed to your career success.

Immersive On-Campus Experience

Experience full-time, in-person learning with lab work, campus events, hackathons, and peer collaboration at Patkar Varde College (NAAC 'A+')

Vibrant Peer Network

Learn alongside high-achieving students and join an active, supportive alumni community driving impact across industries.

Why Pursue a Career in Data Science & AI/ML?

The demand for professionals who can interpret data and build intelligent systems is exploding across India and the globe. By entering this field, you are positioning yourself for a future-proof career with immense growth potential.

Learning Path

Semester 1

First semester builds a strong foundation in database management, statistics, big data, and core programming languages essential for future analytics work.

Database Management Systems

Learn to design, model, and manage modern databases. Master ER models, SQL queries, security, transaction management, and advanced concepts.

Big Data Architecture and Ecosystem

Understand the Hadoop ecosystem: fundamentals of big data storage, HADOOP/YARN architecture, serialization, job tracking, MapReduce paradigms.

Statistical Methods

Gain proficiency in core statistics: probability, distributions, descriptive statistics, hypothesis testing, sampling, estimation.

Data Visualization – Using Power BI

Transform raw data into interactive visuals. Use Power BI for business intelligence reporting, data modeling, dashboarding.

R Programming

Build competency in R Studio: data management, visualization, statistical inference, data types, conditional logic, looping.

Python Programming

Acquire hands-on Python skills: from basic syntax, string and list operations, to working with CSV files, NumPy, Pandas.

Semester 2

This semester focuses on Machine Learning that automates analytical model building. Students learn to work on big data and advanced SQL to systematically extract information and draw insights.

Database Management Systems

Continue mastering databases and advanced implementation.

Machine Learning

Get hands-on with machine learning algorithms, model building, and validation on real datasets.

Distributed Processing Using HADOOP

Work with distributed computing environments, focusing on HADOOP's practical use for parallel big data processing and analytics.

Advanced SQL

Develop advanced querying skills: stored procedures, optimization, dynamic SQL, and its application in analytics.

Modelling Techniques

Explore mathematical and statistical foundations for analytics: from regression and classification to clustering, dimensionality reduction.

Project Work

Apply your skills to a substantial industry or research project, developing critical thinking and integrated data solutions.

Business Communication

Sharpen professional communication skills - essential for translating analytics into actionable business insights.

Semester 3

This semester covers time series forecasting and next generation databases using a high-level language suitable for data science. Students practice examining large pre-existing databases in order to generate new information.

Time Series Analysis and Forecasting

Tackle business and economic forecasting: learn core time series concepts including ARIMA, exponential smoothing, stationarity.

Next Generation Database

Delve into NoSQL, MongoDB, CRUD operations, SSD, in-memory databases, and web frameworks for scalable data storage and retrieval.

Web and Social Media Analytics

Harness the power of online data: learn web analytics, Google Analytics, conversion and audience metrics, campaign optimization.

Data Mining and Warehousing

Study data warehouses, OLTP vs OLAP, data preprocessing, association rule mining (Apriori/FP-growth algorithms).

Latest Trends in Technology

Explore IoT in analytics: architecture, protocols, cloud-enabled devices, embedded systems, security, and big data applications in IoT.

Semester 4

In this semester students learn to apply contemporary computing technologies, such as deep learning, Natural language processing and Cloud Computing, to solve practical problems characterized by big data.

Programming in Scala and Spark

Build scalable analytical applications using Spark's ecosystem and the Scala programming language.

Principles of Deep Learning

Implement and train neural networks for real-world pattern recognition, using the latest deep learning frameworks (TensorFlow, Keras).

Cloud Computing & Practical

Deploy data applications on the cloud, understanding virtual environments, security, and performance optimization.

Information Governance and Data Analysis

Learn best practices for data stewardship, compliance, privacy, and effective data lifecycle management in organizations.

Elective (Marketing/Finance) Analysis

Specialize in advanced analytics for marketing or finance: customer segmentation, campaign analysis, credit risk, fraud analytics.

Internship

Undertake a professional or research internship to gain practical industry immersion and apply your comprehensive data science skillset.

Tools You Will Master

Python

R

Power BI

MySQL

Hadoop

Spark

TensorFlow

Keras

Scikit-learn

Pandas

Who Is This Program For?

This program is designed for ambitious individuals who want to build or accelerate a career in the high-growth field of Data Science & AI/ML. It is ideal for:

Recent Graduates

from any stream (Science, Commerce, Arts) aiming for high paying skill in data science, Analytics & AI/ML

Working Professionals

aiming to transition into data science or AI/ML roles.

IT & Software Professionals

looking to upskill in big data technologies, machine learning, and advanced analytics.

Domain Professionals

(Marketing, Finance, Healthcare, Operations) who want to become data-driven experts.

Research Aspirants

targeting PhD or research careers in Data Science/AI, globally.

The AI & Data Gold Rush Is Here!!!

The IT landscape is changing forever. A recent Times of India report (July 2025) confirms it: traditional roles are vanishing, creating a "war for talent" in specialized Data Science and AI. This isn't a crisis—it's your single greatest career opportunity. This program is designed to place you firmly on the winning side.

The 42% Talent Gap: Your Open Door

The News: There's a staggering 42% supply gap for AI & Data Science professionals in India.

What It Means for You: This isn't just a statistic—it's an open door. A massive shortage means less competition for top roles.You won't be just another applicant; you'll be the candidate companies compete for.

The Reward: Salaries Surpassing ₹50-60 Lakh

The News: The skill gap is driving salaries sky-high. GCCs in major metros are offering ₹50-60 lakh per annum for specialized AI & Data Science roles.

What It Means for You: Specialization pays a premium. While generalist salaries stagnate, experts in AI, ML, and Data Science are commanding 15-20% annual pay hikes.This program builds the niche skills that unlock elite compensation packages.

The New Rule: Value Over Volume

The News: The era of mass IT hiring is over. Companies now favor leaner, high-impact teams.

What It Means for You: This "AI Reset" is creating anxiety for those with generic skills but a golden age for specialists. We build your demonstrable expertise, making you invaluable in a world that prioritizes value over volume.

The Market: A 36% Surge in High-Tech Jobs

The News: India's job market for AI & Data Science roles grew by a massive 36% in 2025 alone,with hubs like Pune, Bengaluru, Chennai, and Hyderabad leading the charge.

What It Means for You: You are stepping into a booming market, not a saturated one. This explosive growth ensures that your skills will be in high demand today, tomorrow, and for years to come.

The Reality Behind the Headlines: Why Layoffs Create Opportunity

The News: You've seen the news about major tech layoffs, like TCS's plan to cut 12,000 jobs. This isn't just about cost-cutting; it's a 'skill-based restructuring.'

What It Means for You: Companies are actively replacing outdated roles with AI-driven ones. This makes specialized knowledge your ultimate job security. While others worry about redundancy, our graduates are the ones being hired to lead the change.

The Future: The #1 Fastest-Growing Path in Tech

The News: Right here in Maharashtra, student enrollment in AI & Data Science has surged by an incredible 181%,overtaking even Computer Engineering.

What It Means for You: By enrolling, you're not just learning a new skill—you're aligning your career with the single most powerful growth engine in the global tech economy.Secure your future by choosing the field employers are racing to invest in.

Learn from a Legacy of Excellence

This program is offered by the SDBI in affiliation with Patkar Varde College, an institution awarded an 'A+' Grade by NAAC. Benefit from a rich academic environment, experienced faculty, and a state-of-the-art campus in the heart of Mumbai, all under the umbrella of the historic 160-year-old University of Mumbai.

Admission Details

Eligibility & Fees

Eligibility Criteria:

Recent Graduates from any stream (Science, Commerce, Arts) aiming for high paying skill in data science, Analytics & AI/ML

Program Fees:

Registration Fee: ₹50,000
First Year: ₹3,53,621
Second Year: ₹4,12,946

Get up to 30% Scholarship - Save ₹1.50 Lakh/year for eligible students.

Financial Assistance

Easy education loan options are available through our partner banks:

H
HDFC Bank
I
ICICI Bank
N
NKGSB Bank

Frequently Asked Questions (FAQ's)

What is the duration and format of the program?

The program is a 2-year, full-time, on-campus master's degree delivered entirely in person at Patkar Varde College (University of Mumbai, NAAC 'A+' grade).

Is this a recognized and respected degree?

Yes. This is an official Master's degree from the University of Mumbai—globally recognized and highly respected in both academia and industry.

Who can apply for this program?

Recent graduates from any stream (Science, Commerce, Arts) may apply. IT, software, analytics professionals, and domain experts from fields like finance, marketing, operations, or healthcare are also encouraged.

Do you offer scholarships?

Yes! Eligible students can receive up to a 30% scholarship, which can save you as much as ₹1.50 Lakh per year. Please contact our counselors to find out about scholarship criteria and how to apply.

Can I pay the fees in installments?

Yes, apart from education loans, we offer flexible installment plans. Please contact our admissions office for details.

Do I need prior coding or data science experience?

No prior experience is required. The curriculum starts from the fundamentals and provides hands-on learning in Python, R, and core data tools. Dedicated mentorship and foundational labs support beginners.

What kind of learning experience can I expect?

You'll experience immersive, full-time, on-campus learning: interactive classes, labs, practical projects, industry hackathons, and vibrant campus events—all under the guidance of working tech professionals.

Is there placement and career support?

Yes! The program provides comprehensive placement support—including resume building, mock interviews, industry connections, and exclusive access to our hiring partners.

Will I have access to internships & real-world projects?

Absolutely. The curriculum includes a mandatory industry internship and multiple practical projects, ensuring real-world exposure to business challenges and analytics tools.

What kind of job roles can graduates expect?

You'll be prepared for roles such as Data Scientist, Machine Learning Engineer, Data Analyst, Big Data Engineer, AI/ML Specialist, and advanced analytics positions in top companies.

Can international students apply?

Yes, international students are welcome, provided they meet the eligibility criteria and visa requirements.