B.Tech Artificial Intelligence and Data Science is a 4-year undergraduate degree course. This course deals with the how-to required to write code of the machine said. This code in essence works as guiding instruction for the machine, they said the machine is performing tasks with less human intervention.
The course is new and trending and offering students the opportunity to learn techniques and skills. Computer languages like Prolog, Lisp, JAVA, and Python are some languages that are taught in this course. Some institutes also offer the students interdisciplinary courses during this program, students may be required to study edge computing, functioning of the internet, psychology marketing one computer program, and robotics.
Eligibility Criteria for B.Tech Artificial Intelligence and Data Science
1. Applicants must have a 10+2 qualification from a recognized board on Physics, Chemistry and Biology subjects in Class 12th.
2. Applicants must achieve at least 50% to 60% of the points in the relevant proficiency tests.
3. Eligibility conditions for candidates from SC/ST/OBC/PwD categories will be 45% marks in the qualifying examinations.
4. Applicants must not be younger than 17 at the time of application.
Admission Process
1. Colleges publish admission notices on their website from June when most Indian universities would have finished degree exams.
2. Candidate to apply for each college, as each college considers each mark the cut-off mark.
3. Some private colleges and deemed universities perform their counselling process by conducting their university-level entrance exams.
4. Some colleges require a minimum of 50% aggregate in the qualifying examination.
5. Candidates who qualify for the test are called for an interview before the final seat allotment.
6. Some of the entrance exams for BTech are JEE Main, WBJEE, JEE Advanced, KCET etc.
CAREER & Jobs OPPORTUNITIES
Artificial Intelligence and Machine Learning professionals are in huge demand these days, The government plans to deploy AI in 10 sectors in India. Therefore, ample career opportunities exist in private companies, public organizations, education, government institutions, and the healthcare industry. Additionally, top IT companies are looking at aggressively hiring Engineers specializing in Artificial Intelligence & Machine Learning. After a specialization in AI and Machine, Learning students can explore job profiles like-
Machine Learning Engineer
Data Scientist in Machine Learning
Research Engineer in Artificial Intelligence
Big Data & AI Architect
Big Data & AI Consultant
Robotics Professional
Major Recruiters (Govt. & Private sector)
A career with exceptional prospective fields and challenging roles in a futuristic industry. Some of the best companies where engineers with specialization in the internet of things can be placed in India, Here is the list of top BTech Artificial Intelligence and Machine Learning Recruiting companies in which you can apply after completing your graduation.
Wipro
IBM
NIIT
Oracle
Genpact
HDFC Bank
Atkins
Accenture
Bosch Group
Microsoft
Amazon
Intel Technology
Reliance Jio
B.Tech Artificial Intelligence and Machine Learning Course details Highlights
Course Level |
B.Tech Artificial Intelligence and Machine Learning |
Duration |
4 years |
Eligibility |
Applicants qualifying their 10+2 exam from a recognized Board and Science stream (Physics and Mathematics compulsory subjects) are eligible |
Examination type |
Either by Entrance Exams or by Merit |
Job Roles |
Data Analyst, Data Scientist, Data Engineer, Principle Data Scientist, Computer Vision Engineer etc |
Course Fee |
INR 1,00,000/- to INR 1,50,000/- per annum |
Average Salary |
Between 10 LPA and 15 LPA |
Top Recruiting Companies |
Govt and Privet sector |
Course mode |
Full time |
BTech Artificial Intelligence and Machine Learning Course Subjects & Syllabus
Semester I |
Mathematics I Physics Physics Lab Programing in C Language Programing in C Language Lab Playing with Big Data Open Source and Open Standards Communication WKSP 1.1 Communication WKSP 1.1 Lab Seminal Events in Global History
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Semester II |
Mathematics II Basic Electronics Engineering Basic Electronics Engineering Lab Data Structures with C Data Structures-Lab Discrete Mathematical Structures Introduction to IT and Cloud Infrastructure Landscape Communication WKSP 1.2 Communication WKSP 1.2 Lab Environmental Studies Appreciating Art Fundamentals
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Semester III |
Computer System Architecture Design and Analysis of Algorithms Design and Analysis of Algorithms Lab Web Technologies Web Technologies Lab Functional Programming in Python Introduction to Internet of Things Communication WKSP 2.0 Communication WKSP 2.0 Lab Securing Digital Assets Introduction to Applied Psychology
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Semester IV |
Operating Systems Data Communication and Computer Networks Data Communication and Computer Networks Lab Introduction to Java and OOPS Introduction to Java and OOPS Labs Applied Statistical Analysis (for AI and ML) Current Topics in AI and ML Database Management Systems & Data Modelling Database Management Systems & Data Modelling Lab Impact of Media on Society
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Semester V |
Formal Languages & Automata Theory Mobile Application Development Mobile Application Development Lab Algorithms for Intelligent Systems Current Topics in AI and ML Software Engineering & Product Management Minor Subject: - 1. Aspects of Modern English Literature or Introduction to Linguistics Minor Project I
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Semester VI |
Reasoning, Problem Solving and Robotics Introduction to Machine Learning Introduction to Machine Learning Natural Language Processing Minor Subject 2 – General Management Minor Subject 3 - Finance for Modern Professional Design Thinking Communication WKSP 3.0 Minor Project II
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Semester VII |
Program elective Web Technologies Major Project- 1 Comprehensive Examination Professional Ethics and Values Industrial Internship Open Elective - 3 CTS-5 Campus to corporate Introduction to Deep Learning
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Semester VIII |
Major Projects 2 Program Elective-5 Program Elective-6 Open Elective - 4 Universal Human Value & Ethics Robotics and Intelligent Systems
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