University of Mumbai & Patkar Varde College (NAAC 'A+' Grade)
Fill out the form to download the complete program brochure and have an academic counselor get in touch with you.
Gain a prestigious qualification from a 160-year-old university, giving you a competitive edge in the job market.
Developed and delivered by Data Science & AI/ML experts, our curriculum focuses on practical skills, industry projects, case studies and capstone projects.
Receive one-on-one guidance from a dedicated mentor to navigate the curriculum and align your learning with your career aspirations.
From resume building and mock interviews to exclusive access to our hiring partners, we are committed to your career success.
Experience full-time, in-person learning with lab work, campus events, hackathons, and peer collaboration at Patkar Varde College (NAAC 'A+')
Learn alongside high-achieving students and join an active, supportive alumni community driving impact across industries.
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.
for Data Scientists & AI/ML Engineers in India
(Source: AmbitionBox / Glassdoor 2025)
Projected growth of India's Data Science & AI/ML market by 2028
(Source: NASSCOM / Mordor Intelligence)
Active Job Openings in Data Science & AI/ML in India
(Source: LinkedIn / Naukri.com)
First semester builds a strong foundation in database management, statistics, big data, and core programming languages essential for future analytics work.
Learn to design, model, and manage modern databases. Master ER models, SQL queries, security, transaction management, and advanced concepts.
Understand the Hadoop ecosystem: fundamentals of big data storage, HADOOP/YARN architecture, serialization, job tracking, MapReduce paradigms.
Gain proficiency in core statistics: probability, distributions, descriptive statistics, hypothesis testing, sampling, estimation.
Transform raw data into interactive visuals. Use Power BI for business intelligence reporting, data modeling, dashboarding.
Build competency in R Studio: data management, visualization, statistical inference, data types, conditional logic, looping.
Acquire hands-on Python skills: from basic syntax, string and list operations, to working with CSV files, NumPy, Pandas.
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.
Continue mastering databases and advanced implementation.
Get hands-on with machine learning algorithms, model building, and validation on real datasets.
Work with distributed computing environments, focusing on HADOOP's practical use for parallel big data processing and analytics.
Develop advanced querying skills: stored procedures, optimization, dynamic SQL, and its application in analytics.
Explore mathematical and statistical foundations for analytics: from regression and classification to clustering, dimensionality reduction.
Apply your skills to a substantial industry or research project, developing critical thinking and integrated data solutions.
Sharpen professional communication skills - essential for translating analytics into actionable business insights.
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.
Tackle business and economic forecasting: learn core time series concepts including ARIMA, exponential smoothing, stationarity.
Delve into NoSQL, MongoDB, CRUD operations, SSD, in-memory databases, and web frameworks for scalable data storage and retrieval.
Harness the power of online data: learn web analytics, Google Analytics, conversion and audience metrics, campaign optimization.
Study data warehouses, OLTP vs OLAP, data preprocessing, association rule mining (Apriori/FP-growth algorithms).
Explore IoT in analytics: architecture, protocols, cloud-enabled devices, embedded systems, security, and big data applications in IoT.
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.
Build scalable analytical applications using Spark's ecosystem and the Scala programming language.
Implement and train neural networks for real-world pattern recognition, using the latest deep learning frameworks (TensorFlow, Keras).
Deploy data applications on the cloud, understanding virtual environments, security, and performance optimization.
Learn best practices for data stewardship, compliance, privacy, and effective data lifecycle management in organizations.
Specialize in advanced analytics for marketing or finance: customer segmentation, campaign analysis, credit risk, fraud analytics.
Undertake a professional or research internship to gain practical industry immersion and apply your comprehensive data science skillset.
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:
from any stream (Science, Commerce, Arts) aiming for high paying skill in data science, Analytics & AI/ML
aiming to transition into data science or AI/ML roles.
looking to upskill in big data technologies, machine learning, and advanced analytics.
(Marketing, Finance, Healthcare, Operations) who want to become data-driven experts.
targeting PhD or research careers in Data Science/AI, globally.
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 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 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 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 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 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 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.
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.
Recent Graduates from any stream (Science, Commerce, Arts) aiming for high paying skill in data science, Analytics & AI/ML
Get up to 30% Scholarship - Save ₹1.50 Lakh/year for eligible students.
Easy education loan options are available through our partner banks:
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).
Yes. This is an official Master's degree from the University of Mumbai—globally recognized and highly respected in both academia and industry.
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.
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.
Yes, apart from education loans, we offer flexible installment plans. Please contact our admissions office for details.
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.
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.
Yes! The program provides comprehensive placement support—including resume building, mock interviews, industry connections, and exclusive access to our hiring partners.
Absolutely. The curriculum includes a mandatory industry internship and multiple practical projects, ensuring real-world exposure to business challenges and analytics tools.
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.
Yes, international students are welcome, provided they meet the eligibility criteria and visa requirements.