Btech in artificial intelligence and data science course details and Top Schools?

Question

Shrikant Goyal · Accepted Answer

When it comes to pursuing data science programs, there are a lot of programmes out there. The data science field has grown so much in recent years, and because of this popularity and so many learning options, the students often get confused about what program to pursue and what to not. But in this reading, we will be discussing a very popular program which is Btech in Artificial Intelligence and Data Science. 
Computer Science, technology and engineering have many branches and this program is one of those many branches. This is a bachelor&rsquo;s undergraduate program which is generally four years in duration. This program focuses mainly on big data analytics, fuzzy technologies and artificial neural networks. You will be prepared with the skills to perform decisions based on data analytics. 
The students of this course are made proficient in the fields such as statistics, data scientists, machine learning, computer science, and logic. Artificial Intelligence is one of the branches of data science, and both of them are connected through machine learning, because this program is a blend of both data science and artificial intelligence, you must definitely need to learn machine learning as well, so be prepared to learn ML as well. 
Now you must be wondering what are the eligibility criteria for this program, so these are the eligibility requirements for this program:

You must finish your senior secondary at a well recognized educational institution. 
Your stream in your senior secondary should be in science with the subjects such as physics and mathematics. These two subjects are compulsory. 
Your aggregate in your qualifying exam must be at least 50%.

You must be wondering what are the career opportunities that you might get after your program, then here are the opportunities that you can get:

Engineer in Computer Vision
Data Analyst
Algorithms and Research Engineer
Data Scientist
Data Engineer
ML Engineer 
Principle Data Scientist
Big Data Architect
BI developer
Robotics Programmer