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This course provides a practical introduction to the “full-stack” of data science analysis, including data collection and processing, data visualization, and presentation, statistical model building using machine learning, and big data techniques for scaling these methods.
Topics covered in this specialization include: collecting and processing data using relational methods, time series approaches, graph and network models, free text analysis, and spatial geographic methods; analyzing the data using a variety of statistical and machine learning methods include linear and non-linear regression and classification, unsupervised learning, and anomaly detection, plus advanced machine learning methods like kernel approaches, boosting, or deep learning; visualizing and presenting data, particularly focusing the case of high-dimensional data; and applying these methods to big data settings, where multiple machines and distributed computation are needed to fully leverage the data.
By the end of the specialization, students should be able to:
Implement and analyze the complete Data Science pipelines end to end.
Integrate multiple facets of practical Data Science into a pipeline: data preprocessing, data cleaning, data analyzing, data modeling, and data visualization.
Visualize the insights of the data set and try to forecast, and analyze them.
Compare and contrast different ML modeling algorithms to get the insights.
Design experiments to evaluate and present the real-time/dashboard updates of the Data Science Techniques
Understand the concepts ground-up and learn to ingest, analyze and visualize data at scale.
Anyone with a B.E or a B.Tech degree (any stream, be it Computer Science, Mechanical or Electronics) is eligible for the MSIT Program.
Complete your Master's degree in just 16 months, including a full-fledged industry practicum.
Be industry-ready with the MSIT Program
Master's Degree from IIIT Hyderabad
Graduate with a Master's Degree from IIIT Hyderabad with a specialization in Data Science.
Learning by Doing
Take hands-on learning to the next level with our unique pedagogy and industry partnerships.
Spend two months on campus and then pursue the course from anywhere in a virtual environment.
Learn at your own pace and schedule one-to-one sessions with mentors to match your need.
The MSIT Program offers campus placement with top-tier organizations.
Why Choose MSIT?
& Machine Learning
Drive the next leg of innovative AI applications for organizations and consumers alike.
Received an offer from American Express
I am a CS graduate. I joined MSIT to improve my coding skills and learn new technologies with the 'Learning by Doing' approach. MSIT offers Soft skills courses along with IT courses which helped me to become industry-ready. Mentors provide immense support throughout the course. MSIT offers a co-op program that helps you to gain practical work experience and I am fortunate to be a part of it. MSIT helped me in transforming my career and I am looking forward to joining American Express.