AI-Powered Data Science Master's Program
This comprehensive online Data Science Master's Program by Simplilearn equips working professionals with end-to-end data science skills from Python, SQL, and data visualization to advanced statistics, deep learning, machine learning workflows, and GenAI. Learners build real projects, apply Generative AI, understand LLMs and RAG, and develop production-ready models through capstones and MLOps electives. The program is delivered through live, online, interactive sessions led by industry experts enabling real-time learning and mentorship. Upon completion, participants earn a prestigious Data Science Masters certificate from Simplilearn and individual Microsoft course certificates through the Microsoft Learn portal, validating expertise across AI and machine learning. The curriculum covers 17+ skills and 13+ tools with 15+ industry projects and capstones spanning three domains. Career services are included supporting graduates in accessing roles such as data scientist, machine learning engineer, and AI specialist.
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16,800 already enrolled
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Course Start Date:
28th Feb, 2026
Application Deadline:
Closing Soon
Duration:
11 Months
₹ 57,000
Overview
This AI-powered Data Science Masters Program from Simplilearn is an 11-month live online course designed to transform working professionals into job-ready data scientists. The curriculum spans foundational Python and SQL through advanced machine learning, deep neural networks, Generative AI, LLMs, RAG, and MLOps. Participants access live interactive sessions led by industry experts, integrated labs, and a capstone project demonstrating real-world proficiency. Microsoft course certificates are earned alongside Simplilearns Masters certificate, providing dual credentialing that boosts employability. The program includes 15+ hands-on projects across diverse domains such as retail, healthcare, and financial services, making it one of the most comprehensive online data science programs available.
Why Technology & Analytics?
Simplilearns AI-powered Data Science Masters Program stands out for its combination of live interactive instruction, dual certification from Simplilearn and Microsoft, and a rigorous industry-aligned curriculum. Learners benefit from exposure to cutting-edge technologies like Generative AI, LLMs, RAG, and MLOps that are rapidly becoming essential in the data science job market. The blended learning model ensures high completion rates by combining structured live classes with flexible self-paced resources. Industry projects from platforms like Walmart and Power BI, mentorship, and dedicated career services provide learners with a comprehensive transition toolkit into high-demand data science roles.
What does this course have to offer?
Key Highlights
Industry-recognized Data Science Masters certificate from Simplilearn
Microsoft course completion certificates via Microsoft Learn portal
Live, interactive online classes led by top industry experts
17+ skills and 13+ tools covered
15+ industry projects and capstone from 3 domains
GenAI, LLMs, RAG, MLOps, Azure ML, and Microsoft Fabric training
Lifetime access to self-paced learning resources
Dedicated career services and placement assistance
Hands-on labs and real-world datasets throughout
Who is this programme for?
Working professionals seeking to transition into data science
Software engineers and IT professionals upskilling in AI and ML
Analysts looking to advance to data scientist roles
Recent graduates with an analytical mindset
Professionals in BFSI, IT, pharma, retail, and related industries
Anyone aiming to earn industry-recognized data science credentials
Minimum Eligibility
Analytical mindset and basic foundational understanding in relevant areas
Working professionals from diverse industries and backgrounds
Familiarity with basic programming concepts preferred
Willingness to commit to 11-month structured curriculum
Openness to live, interactive online learning format
Who is the programme for?
This program is designed for working professionals and recent graduates with an analytical mindset. The admission process is straightforward, consisting of three simple steps that allow the admissions panel to assess candidate fit for the rigorous curriculum. There are no strict academic prerequisites, but applicants are expected to have a foundational understanding in certain areas to keep pace with program content. Academic progression moves from foundational to advanced topics covering Python Refresher, SQL, Advanced Statistics, Applied Data Science with Python, Machine Learning using Python, Deep Neural Networks, Data Science Capstone, Generative AI, Microsoft Power BI, Applied MLOps, End-to-End MLOps with Azure Machine Learning, and Machine Learning for AI in Microsoft Fabric. Integrated labs and live sessions support each module.
Here's a Glimpse of Your Degree
*Disclaimer: The image is for illustrative purposes only and may be subject to change at the discretion of Management.
Selection process
How to apply?
Curriculum
The curriculum is structured as a comprehensive learning path covering Python Refresher with AI, SQL Certification, Advanced Statistics, Applied Data Science with Python, Machine Learning using Python, Deep Neural Networks using TensorFlow, Keras, and PyTorch, Data Science Capstone, Master in Generative AI, Microsoft Power BI with AI Assistance, Applied MLOps, End-to-End MLOps with Azure Machine Learning, and Machine Learning for AI in Microsoft Fabric. Each module builds on the previous ensuring learners develop proficiency from data fundamentals to production-ready AI systems.
There are 12 semesters in this course
The program begins with a Python Refresher covering data types, loops, error handling, and functions. The SQL Certification module spans basics to advanced topics including database management and data manipulation. Advanced Statistics covers central tendency, dispersion, skewness, correlation, regression, and statistical inference. Applied Data Science with Python and Machine Learning modules include 40+ hours of applied learning, hands-on labs, and multiple projects. Deep Neural Networks training encompasses backpropagation, TensorFlow 2, Keras, PyTorch, CNNs, RNNs, autoencoders, and transfer learning. The Capstone applies all skills to real-world datasets and ETL processes. The Generative AI elective covers GANs, VAEs, LLMs, prompt engineering, and RAG. MLOps electives address CI/CD pipelines, Infrastructure as Code, model deployment on AWS SageMaker and CloudWatch, Azure Machine Learning, and Microsoft Fabric ML workflows.
Programming Essentials
SQL Certification Course
Python for Data Science by IBM
Applied Data Science with Python
Tableau Desktop Specialist Certification Training
Data Scientist Capstone
R Programming for Data Science
Business Analytics with Excel
PL-300 Microsoft Power BI Certification Training
Essentials of Generative AI, Prompt Engineering & ChatGPT
PC DS - Industry Masterclass by IBM
Programme Length
11 months, live online interactive format designed for working professionals
Tuition Fee
This 11-month Data Science Masters Program is priced at ₹57,000. Flexible payment options are available through Splitit and Klarna, allowing learners to pay in monthly installments with low APR and no hidden fees. These financing solutions are designed to make the program accessible to working professionals who prefer to spread the investment over time. The program may also qualify for US employer tuition reimbursement programs.
Fee Structure
Payment options
Learning Experience
The program employs a blended learning model combining live, instructor-led virtual classes with self-paced resources. Live sessions allow for real-time interaction, doubt resolution, and dynamic discussions with industry experts. A robust support system includes 24/7 access to teaching assistants and mentors. The model fosters accountability through cohort-based learning, leading to industry-high completion rates over 70%. Integrated labs provide hands-on experience with 13+ tools and frameworks used in the data science industry.
University Experience
Simplilearn is a global digital upskilling platform with over a decade of experience in professional education. The Data Science program is developed in collaboration with IBM and aligned with the Microsoft learning ecosystem, offering learners access to Microsoft course certificates alongside Simplilearns own Masters credentials. Alumni from this program include working professionals from leading organizations across IT, BFSI, pharma, retail, and software product industries, many of whom have transitioned to senior data science roles with significant salary increases.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
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About the University
Microsoft Azure is a comprehensive cloud computing platform developed by Microsoft, offering Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) for building, deploying, and managing applications globally. It supports various programming languages, tools, and frameworks, with services in compute, storage, analytics, AI, and more, following a pay-as-you-go model.
Affiliation & Recognition
Microsoft Solutions Partner
CRN Product of Year
gartner leader
Career services
Microsoft Azure supports learners through Microsoft Learn, a free interactive platform offering structured learning paths, hands-on labs, modules, and certification preparation for cloud skills. It provides role-based certifications like Azure Fundamentals (AZ-900), Associate (e.g., AZ-104 Administrator), Expert (e.g., AZ-305 Architect), and Specialty tracks in AI, security, and data, aligning with industry demands in cloud computing, DevOps, and AI. Learners access personalized dashboards to track progress, earn badges, and build portfolios visible to recruiters. Community features include forums, events, and networking via LinkedIn integration, fostering connections with professionals. For educators, the Microsoft Learn for Educators program equips faculty with courseware, bootcamps, and tools to teach Azure, preparing students for certifications like AI-900. Azure for Students offers 9068.60₹ ($100) credits, free services, and developer tools to build apps and explore AI/data science without cost barriers. Career guidance includes roadmaps (e.g., Zero to Hero paths), salary insights, and job role mappings, with emphasis on continuous learning (CL/CD mindset). Partnerships with training providers like Microsoft TSPs deliver instructor-led sessions and exam prep.
Top Recruiters
Course Start Date:
28th Feb, 2026
Application Deadline:
Closing Soon
Duration:
11 Months
₹ 57,000
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.