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Job Role | Entry-Level Salary | Mid-Level Salary | Senior / Lead Salary |
Data Analyst | ~₹4 L – ₹7 L per year | ~₹9 L – ₹16 L per year | ₹18 L – ₹30 L+ per year |
Data Scientist | ~₹7 L – ₹13 L per year | ~₹14 L – ₹26 L per year | ₹28 L – ₹55 L+ per year |
Business Intelligence (BI) Analyst | ~₹5 L – ₹8 L per year | ~₹10 L – ₹18 L per year | ₹20 L – ₹35 L+ per year |
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Yes. You can join the FutureStack: Data Science & GenAI program while you're in your final year of college. It gives you a chance to start learning Python, Data Science, Machine Learning, and Generative AI before graduation, while also building projects that can strengthen your profile for internships and entry level opportunities.
Yes. You can join the FutureStack: Data Science & GenAI program even if you've had a career gap. The program focuses on helping learners build practical skills in Data Science, Machine Learning, and Generative AI, making it suitable for those looking to restart or transition into a new career path.
Yes. The FutureStack: Data Science & GenAI program is open to graduates from a wide range of backgrounds, including B.E., B.Tech, B.Sc, B.Com, B.A., BBA, BCA, and similar degrees. You do not need prior experience in Data Science or AI to apply, as the curriculum is designed to help you build skills from the fundamentals onwards.
Yes. You can join the FutureStack: Data Science & GenAI program even if you've never coded before. The curriculum starts with foundational concepts and gradually introduces Python, SQL, Data Science, Machine Learning, and Generative AI, so you can build your skills step by step without any prior coding experience.
In this module, you'll learn how to build real Generative AI applications rather than just studying the concepts behind them. You'll work on projects such as AI powered Data Assistants and RAG based chatbots, while also exploring how LLMs can be combined with Data Science and Machine Learning workflows to automate tasks, generate insights, and create intelligent AI powered solutions.
The learning is heavily application focused. Alongside core concepts, you'll spend significant time working with datasets, tools, projects, and implementation exercises that help reinforce real-world skills.
The program combines Data Science, Machine Learning, GenAI, and deployment focused learning through practical classroom training and live implementation. You work with technologies like Python, SQL, Power BI, ML models, RAG applications, analytics workflows, and deployment concepts while learning how modern AI and data systems are built and used in real industry environments.
Data Science and Generative AI are taught together because they solve different parts of the same problem. Data Science helps you collect, analyze, and understand data, while Generative AI helps you turn that data into intelligent applications and user experiences. By learning both, you gain a more complete understanding of how modern AI solutions are built, from data and analytics to AI powered applications.
You work with industry tools like SQL, Power BI, Python, Hugging Face, NumPy, TensorFlow, GitHub, Pandas, LangChain, Keras, Jupyter, scikit learn, Git, and FAISS through hands on classroom implementation and live datasets. The learning stays heavily practical, so you regularly use these tools while building dashboards, analytics workflows, Machine Learning systems, and GenAI based applications instead of only learning concepts theoretically.
The total program fee is ₹75,000. Depending on eligibility and the applicable admission cycle, candidates may be considered for merit-based scholarships of up to 50%. Flexible EMI and installment options are also available, making it easier to spread the cost of the program over time.
The program runs for 3 months and is designed to keep the learning highly practical, fast paced, and implementation focused from day one. Instead of spending months only on theory, you continuously work on projects, analytics workflows, AI tools, and hands on problem solving while building a deployable capstone project by the end of the program.
Yes. Wakad is one of Pune's fastest growing professional and technology focused areas, located close to major IT hubs like Hinjewadi and surrounded by software companies, business parks, coworking spaces, and corporate offices. As more companies adopt AI, automation, analytics, and data driven decision making, skills in Data Science, Machine Learning, and Generative AI are becoming increasingly relevant. If you're in Wakad, this program aligns well with the kind of technology ecosystem around you.
Not completely. The FutureStack: Data Science & GenAI program is mainly taught through in-person classroom sessions at the Learning Support Centre. You'll also get access to online learning resources, assignments, and student portals, so you can continue learning, practicing, and reviewing concepts outside the classroom.
Yes, absolutely. You're welcome to visit the Wakad Learning Support Centre before enrolling. It’s a great way to see the facilities, understand how the program is delivered, meet the team, and get answers to any questions you may have about the curriculum, batches, fees, or career support.
The above statistics depend on various factors and individual results may vary. Past performance is no guarantee of future results.
The student assumes full responsibility for all expenses associated with visas, travel, & related costs. upGrad does not .
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