Schools

Data Science

This track course has been designed to prepare engineering graduates who can

Develop real-time data analysis skills set, which can be applied to practical problems.
Excel in fundamental knowledge of concepts underlying data science projects
To develop practical skills needed in modern analytics
Explain how to build mathematical models and information sciences to build better algorithms and software
Have hands-on experience with real-world data analysis to solve societal problems
Develop applied experience with data science software, programming, applications, and Processes
Learn to analyze big data using intelligent techniques
Understand the various search methods and visualization and mining data stream techniques.
Expertise in the applications using Map Reduce Concepts and advanced data computing tools
Provide engineering services to e-Commerce domains
Collaborate with leading Data science frontrunners and other domain experts for the design and implementation of new business and implementation techniques

Overview

Data science is a multidisciplinary field that uses mathematics, statistics, and computer science to extract knowledge and insights from structured and unstructured data
As business technology has advanced exponentially in recent years, data-driven decision-making has become a much more fundamental part of all sorts of industries, including important fields like medicine, transportation, and equipment manufacturing
Companies like Google, Amazon, Netflix, Facebook, Flipkart, Ola, and Swiggy, which use Data Science, have witnessed huge growth and profits
Companies like Google, Facebook, Intel, Microsoft, Twitter, Ford, Intel, and Apple have successfully integrated Data Science into their products and are seeing a growth of about 30% improvement in areas like revenue, growth rate, and efficiency

Opportunities

Bangalore, Pune, Delhi, Mumbai, Chennai, and Hyderabad have the highest number of Data Science job openings
The number of startups and investments by Venture Capitalists in the Data Science space is growing exponentially
The Data Science field is growing rapidly, promising higher salaries and better opportunities in the future

The salary package differs for every job profile.

How are Data Scientists different from Business Analysts or Data Analysts?

Criteria	Data Analyst	Business Analyst	Data Scientist
Skillset	Analyzing business needs	Analyzing historical data	Making data-driven decisions
What do they do?	Full life cycle analysis, including business needs, activities, and designing	Implementing technology solutions and analyzing and reporting business capabilities	Statistical analysis and the development of Machine Learning systems
Average salaries	US$68,465	US$75,218	US$112,957

Course Curriculum

Data Science sits at the heart of mathematics, statistics, and computer science
These foundational courses are taught in the first and second academic years
The Data Science program consists of a total of eight courses taught in the third and fourth years, along with one main project
Foundational courses like "Machine Learning Algorithms" and "Introduction to Data Science" are taught in the fifth semester
The sixth-semester course covers data processing and analysis techniques in courses "Data Visualization" and "Statistics" along with an introductory course in Artificial Intelligence in the "Fundamentals of AI" course
The seventh semester covers advanced Data Science technologies and uses cases like "Advanced Artificial Intelligence", "Data Munging", "Data Science Case Studies" and "Big Data for Data Science"
Some advanced courses will also be taught in due semesters
Harvard Business Review called Data Science "The Most Attractive Job of the 21st Century".
Data Science is fundamentally changing how businesses make decisions that are backed up by hard data rather than making decisions that are intuitive or based on observation alone

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