Technology Overview
The ever increasing amount of data being available provides us an opportunity to extract actionable insights by applying data science and machine learning techniques. With greater computing capacity available and the development of sophisticated algorithms, smart data analysis has become pervasive and a critical catalyst in technological progress.
Machine learning is a sub-field of computer science evolved from attempts to extract insights and make predictions from data, pattern recognition and computational learning theories in artificial intelligence.
Market Growth Potential and Opportunities
Machine Learning and automation are debatably the hottest trends in the world today. Every new product on the market claims to use ML and yet very few have truly been able to leverage the immense possibilities.
Machine learning patents grew at a 34% Compound Annual Growth Rate (CAGR) between 2013 and 2017, the third-fastest growing category of all patents granted. IDC forecasts that spending on AI and machine learning will grow from $12B in 2017 to $57.6B by 2021.
Deloitte Global predicts the number of machine learning pilots and implementations will double in 2018 compared to 2017 and double again by 2022. Forrester predicts the Predictive Analytics & Machine Learning (PAML) market will grow at a 21% CAGR through 2021.
Gartner says that there will be 2.3 million Machine Learning jobs by 2022.
Program Overview
Machine Learning has applications in almost all walks of life. There is huge requirement of engineers who not only have strong theoretical knowledge in computer science, mathematics, statistics, and machine learning but also practical exposure and experience to quickly apply these techniques to solve real world problems.
The B.Sc IT program with specialization in Machine Learning offered by the University is designed to provide a sound foundation in Computer Science and a specialization in Machine Learning. This program will enable students to take up various emerging roles in the area of Machine Learning.
Eligibility
Minimum qualification required: 10+2 examination from PUC/ ISC/ CBSE/ or equivalent board
Program Duration - 3 years
(6 semesters) - Full-Time
Direct admission:
For Students securing 70%
and above in XII Std Board Exams.