One Year PG Program in Data Science & Machine Learning: 500 Hours From Python to Big Data
Data science hiring has matured past "knows Python and scikit-learn." Employers today expect candidates who can also work with big data pipelines, cloud infrastructure, and deployment — the full production stack. The One Year Post Graduate Program in Data Science and Machine Learning is Technovalley's answer to that shift: 500 hours built across a tri-semester model.
What the Program Covers
The curriculum spans the complete data science and ML lifecycle:
Python, statistics, probability, and linear algebra
Machine Learning algorithms and Deep Learning architectures
NLP and Computer Vision applications
Big Data technologies including Hadoop and PySpark
Cloud computing and deployment on AWS
MLOps integration and data visualization with Power BI and Tableau
Learners get hands-on with an unusually complete toolkit — TensorFlow, Keras, PyTorch, Scikit-learn, OpenCV, SQL, MongoDB, Hadoop, PySpark, AWS, Docker, Git, and Linux — reflecting how the Bureau of Labor Statistics occupational outlook and similar labour-market research consistently describe modern data science roles: multidisciplinary, cloud-native, and deployment-aware, not just modelling-focused.
Who Should Enrol?
Graduates, diploma holders, beginners, and career switchers who want the depth of a full postgraduate program rather than a shorter standalone certification. If you're not ready for a full year yet, the Technovalley Certified Data Scientist program (160 hours) is a strong entry point that can lead into this program later.
For learners whose interest is specifically Generative AI and LLMs rather than classical data science and big data, the parallel One Year Post Graduate Program in Generative AI Applications covers that specialisation at the same depth and duration.
Career Outcomes
Graduates are prepared for roles including Data Scientist, Machine Learning Engineer, Data Analyst, Data Engineer, BI Analyst, and NLP Engineer. Big data and cloud-native data science skills specifically have seen continued strong demand: the NASSCOM Strategic Review has repeatedly identified data engineering and cloud-native analytics as one of India's fastest-growing IT services sub-sectors, driven by enterprise cloud migration.
Why Choose This Program at Technovalley?
The tri-semester structure includes practical evaluations and capstone projects at every stage, ensuring learners build a genuine project portfolio — not just pass exams. Combined with internship-style practical training and career-focused mentorship, the program is designed to produce data professionals who are immediately deployment-ready.
FAQs
Does this program cover Big Data tools like Hadoop and Spark? Yes — Hadoop and PySpark are included alongside cloud deployment on AWS.
How does this differ from the Technovalley Certified Data Scientist program? This is a full 500-hour, one-year postgraduate program with Big Data, Cloud, and MLOps coverage; the Certified Data Scientist program is a focused 160-hour certification on core data science fundamentals.
Is prior programming experience required? No — the program builds Python and statistical foundations from the ground up as part of the tri-semester structure.
Build the complete data science and ML skill stack. View the full PG program details or explore Technovalley's complete AI & data science catalogue. Enquire now.
