Duration :4 Years
Eligibility : XII th in Science with Physics, Chemistry and Mathematics
Specialisations in : Data Engineering
Smart homes, self-driving cars, smart personal assistants, chatbots – Data Engineering involves everything from Data Science to Machine Learning to Artificial Intelligence to Deep Learning. In today’s world we are surrounded by products & services built upon these technologies. The increasing penetration of AI products/services in our lives have spurred the growth of Machine Learning (ML). The fast-growing adoption of ML across different industries is continually creating more jobs, but there is a catch; there aren’t enough skilled professionals to fulfill the job vacancies. Hence,this course is specially designed to meet the increasing need as per the industry requirements.
The B.tech in computer science with the specialization in Data Engineering is exclusively designed as per the latest industry trends. Taking a stepwise approach, the Data Enginerring program teaches the fundamental concepts of Statistics & Python, Data Analysis, Speech Recognition, Machine Learning, NLP, Deep Learning.Accessibility of the data today can help to reap multiple benefits to organizations from it. The program covers all the aspects and open ways in the path of data engineers, machine learning engineers, analysts and data scientists.
We have designed Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions.
The specialization electives are spread across the whole four years of B.tech.
Starting from building the basics by fundamentals of programming. Python, SQL and visualization for analysis. In data engineering, we cover the aspects including advanced regressions, tree model, vector machines, text and lexical processing. The program also covers machine learning, big data analytics, NLP(natural processing language) and Deep learning.
The course is structured into the following levels so as to cover all the aspects of Machine Data Engineering
A strong career for future scope of Data Engineer requires you to acquire critical skills in three departments which are programming, analytics and domain knowledge. The learning path will help you acquire the following skills:
- Strong knowledge of Python
- Understand different analytical functions and SQL databases
- Machine learning to make predictive reporting and pattern discovery
- The program will cover inferential and descriptive statistics, natural language processing, big data and deep learning
The programme also includes career preparation which includes the end to end career assistance and support.
Companies are eager to capture data and derive insights from it because of the technological advancements we are seeing. India is the second-highest country to recruit employees in the field of data science or data analytics, etc. with 50,000 positions available – second only to the United States. The demand for data experts is equally competitive, whether you look at the big companies, the e-commerce industry or even start-ups.
The average data engineer’s salary is ₹9.15Lacs. An entry-level data engineer (fresher) can earn around ₹650,000 per annum with less than one (<1) year of experience. Early level data engineers with 1 to 4 years experience get on an average ₹810,800 per annum.A mid-level data scientist with 5 to 9 years experience earns ₹1,504,082 per annum in India. As your experience and skills grow, your earnings rise dramatically as senior-level data scientists around more than ₹2,100,000 a year in India!