Engineering in Artificial Intelligence and Data Science
Author : KCC ITM | Published On : 27 Mar 2024
B. Tech Artificial Intelligence and Data Science are two of the most in-demand engineering specializations among B. Tech Colleges in Delhi NCR right now. Artificial Intelligence in B. Tech presents enormous opportunities for impact, growth, and innovation in a variety of industries, including healthcare, education, banking, entertainment, and more. What advantages does pursuing Artificial Intelligence in B. Tech offer, though? What subjects are there in B. Tech Artificial Intelligence and Data Science Syllabus? What are the requirements for admission to B. Tech in Artificial Intelligence Colleges? Is the scope of B. Tech Artificial Intelligence and Data Science Engineering promising? What is the average B. Tech Artificial Intelligence and Data Science fees?
We address each of these questions as we delve more into the B. Tech Artificial Intelligence and Data Science course in this blog.
What is the B. Tech Artificial Intelligence and Data Science Engineering?
To construct intelligent systems that can learn from data, carry out challenging tasks, and solve real-world issues, computer science, mathematics, statistics, and domain expertise are combined in the multidisciplinary field of artificial intelligence and data science engineering.
AI and Data Science engineers create, develop, test, and implement AI and Data Science solutions using a variety of technologies and approaches, including machine learning, deep learning, computer vision, natural language processing, data mining, data visualization, cloud computing, and more.
B. Tech in Artificial Intelligence and Data Science
Typically, a B. Tech Artificial Intelligence and Data Science is an eight-semester undergraduate course that lasts four years. This course teaches students how to apply the concepts and practices of artificial intelligence (AI) and data science to the design and development of intelligent systems, as well as the analysis and interpretation of data utilizing a variety of approaches and tools to glean insights. The average B. Tech Artificial Intelligence and Data Science fees can range from INR 2 – 10 Lakhs.
Overview
Look at the table below for more information about the B. Tech Artificial Intelligence and Data Science course.
Course Name |
B. Tech Artificial Intelligence and Data Science |
---|---|
Full Form |
Bachelor of Engineering in Artificial Intelligence and Data Science |
Level |
Undergraduate |
Duration |
4 years |
Mode of Examination |
Semester System |
Eligibility Criteria |
10+2 or an equivalent examination with Physics, Chemistry, Mathematics, and English as compulsory subjects |
Admission Process |
Merit + Entrance Exam |
Common Entrance Exams |
JEE Main, JEE Advanced, MHT CET, BITSAT, VITEEE, SRMJEEE, MET, etc. |
B. Tech in Artificial Intelligence Colleges |
KCC ITM, IIT, IIIT, NIT, JMI, GGSIPU, Shiv Nadar University, DU, DTU, etc. |
B. Tech Artificial Intelligence and Data Science Fees |
INR 2 – 10 Lakhs |
B. Tech Artificial Intelligence and Data Science Syllabus
A B. Tech Artificial Intelligence and Data Science syllabus covers a range of topics related to AI and DS engineering. Most B. Tech in Artificial Intelligence Colleges follow the same syllabus with a few minor changes that are rooted in the latest updates of the technologies:
Semester I |
Semester II |
Multivariable Calculus and Linear Algebra |
Probability and Statistics |
Physics for Computer Science |
Engineering Chemistry |
Introduction to Data Science |
Introduction to Python Programming |
Programming for Problem-Solving |
Basics of Electrical and Electronics Engineering |
Practical /Term Work / Practice Sessions/ MOOCs – Entrepreneurship, IoT and Applications, Computer-Aided Engineering Drawing |
Basics of Civil and Mechanical Engineering |
-- |
Practical /Term Work / Practice Sessions/ MOOCs – Biology for Engineers, Design Thinking |
Semester III |
Semester IV |
Analog and Digital Electronics |
Design and Analysis of Algorithms |
Programming in Java |
Unix Operating System |
Data Structures |
Database Management System |
Discrete Mathematics and Graph Theory |
Computer Organization and Architecture |
Agile Software Development and DevOps |
Numerical Techniques and Optimization Methods |
Practical /Term Work / Practice Sessions/ MOOCs – Communication Skills, Indian Constitution and Professional Ethics, Universal Human Values |
Practical /Term Work / Practice Sessions/ MOOCs – Management Science, Environmental Science, Basics of Kannada / Advanced Kannada |
Semester V |
Semester VI |
Artificial Intelligence and Applications |
Theory of Computation |
Neural Networks and Deep Learning |
Big Data Analytics |
Machine Learning |
IoT and Cloud |
Professional Elective-I – Web and Text Mining, Pattern Recognition, Security in IoT, Advanced IoT Programming, Object Oriented Concepts with C++/Java, UI/UX Design, and Data Visualization |
Professional Elective I – Cognitive Computing, Business Intelligence, Industrial and Medical IoT, Industrial and Medical IoT, Advanced Computer Architecture, Parallel Computing, and High-Performance Computing |
Open Elective – I Database Management Systems |
Open Elective II – Data Structures |
Practical /Term Work / Practice Sessions/ MOOCs – Predictive Analytics and Data Visualization Tools, Indian Tradition and Culture |
Practical /Term Work / Practice Sessions/ MOOCs – Research-Based Mini Project, Mobile Application Development, Technical Documentation |
Semester VII |
Semester VIII |
Professional Elective V |
Capstone Project Phase 2 |
Open Elective III |
Internship/Global Certification |
Capstone Project Phase 1 |
MOOC / Competitive Exam |
Internship/Global Certification |
Open Elective IV |
Crucial Subjects in the B. Tech Artificial Intelligence and Data Science Syllabus
- Augmented Reality & Virtual Reality
- Cognitive Computing
- Machine Learning Techniques
- Deep Learning
- Robotic Process Automation
- Robotics
- Internet of Things
- Introduction to Data Science
- Data Visualization
- Natural Language Processing
- Geometric Modelling
- Programming for Problem-Solving
- Python Programming
- Object Oriented Programming
- Web Technology
- Computer Communication Networks
- Cryptography and Network Security
- Data Structures and Algorithms
- Database Management Systems
- Distributed Computing
- Business Analyst
- Data Analyst
- Intelligence Analyst
- Data Manager
- Information Security Analyst
- Risk Analyst
In addition, the B. Tech Artificial Intelligence and Data Science Syllabus offers seminars, projects, internships, and electives that let you explore your interests and pick up real-world experience.
Why Should I Enroll in the B. Tech Colleges in Delhi NCR for AI and Data Science Program?
For students who desire to work in tech industries, enrolling in B. Tech in Artificial Intelligence Colleges in Delhi NCR can have several benefits. Taking this course at KCC Institute of Technology and Management has several advantages, including:
High Employment and Demand
These days, the industries with the strongest growth rates worldwide include AI and data science. By 2026, India will require more than a million AI and data science specialists, according to a NASSCOM estimate.
KCC ITM is rated among the best B. Tech in Artificial Intelligence Colleges with roots spreading across a range of business sectors offering B. Tech Artificial Intelligence and Data Science placement at companies like Google, Amazon, Microsoft, IBM, Flipkart, Ola, Swiggy, Zomato, etc., as well as start-ups and governmental organizations. Therefore, you can improve your opportunities of landing a job and making a good living by pursuing Artificial Intelligence in B. Tech Engineering at KCC ITM.
Numerous Job Opportunities
Data science and artificial intelligence are not exclusive to any one sector or field. They apply to practically any data-related industry or challenge. As a result, a B. Tech Artificial Intelligence and Data Science at KCC ITM can provide you with a wealth of options to work on a variety of projects in a variety of industries, including healthcare, education, finance, and entertainment. Additionally, you can decide to work as a generalist who can handle a variety of jobs or specialize in a particular field of interest, such as computer vision, data mining, natural language processing, etc.
Innovation and Skill Development
You can acquire a variety of 21st-century abilities, like critical thinking, problem-solving, creativity, communication, teamwork, etc., by enrolling in KCC ITM’s B. Tech Artificial Intelligence and Data Science program. Additionally, you will learn about the latest tools and technology used in the field, like:
- Python
- R
- TensorFlow
- PyTorch
- Keras
- Spark
- Hadoop
- AWS
Additionally, careers in Artificial Intelligence in B. Tech engineering from KCC ITM will put you to work on real-world projects that will push your creativity and provide answers that will benefit society.
Research Opportunities and Academic Excellence
You can also get ready for graduate-level coursework or research in these areas by enrolling in B. Tech colleges in Delhi NCR for an AI and Data Science program. You will receive education from knowledgeable teachers with backgrounds in data science and artificial intelligence. You can also perform experiments and investigate novel concepts in the cutting-edge labs and facilities at KCC Institute of Technology and Management. Additionally, you will be exposed to a range of publications, workshops, seminars, and conferences where you can network with other specialists and researchers and present your work.
In summary
Two of the most fascinating and promising future topics are B. Tech artificial intelligence and data science.
They present enormous opportunities for development, impact, and innovation across a range of fields. You can obtain the abilities and information needed to work as an AI and data science engineer by enrolling in top B. Tech Artificial Intelligence Colleges. Additionally, it can provide you with a host of advantages like high demand, a plethora of employment options in data science and artificial intelligence, skill development, innovation, academic quality, and research.