Today, the B Tech Artificial Intelligence subjects and syllabus covers AI concepts to create a strong foundation for future technology leaders. From voice assistants and autonomous vehicles to predictive systems, AI technology is now powering our world. 

Integration of artificial intelligence in the b tech syllabus helps students who want to explore a career in AI. The programme enables students to develop intelligent systems that build industries and societies. According to Dr Andrew Ng (British-American computer scientist and technology entrepreneur), “AI is not just about robots; it is about making human life simpler by making smart solutions”.

In this blog, we will discuss in detail the B.Tech artificial intelligence subjects, the syllabus and the best university for BTech AI course. 

Understanding B Tech Artificial Intelligence Subjects

The Artificial intelligence b tech syllabus differs from the traditional computer science programme. The new syllabus focuses on enabling machines to think, learn, and make smart decisions. Also, the programme gives students hands-on experience with advanced software tools and emerging technologies, preparing them to design and develop smart AI-driven solutions for real-world challenges.

Let’s explore B Tech Artificial Intelligence subjects and syllabus at K.R. Mangalam University (KRMU).

Semester-Wise B Tech Artificial Intelligence Subjects

Semester 1

• Programming in C
  
• Engineering Mathematics I
  
• Engineering Physics
  
• Engineering Chemistry
  
• Communication Skills
  
• Fundamentals of Electrical and Electronics Engineering
  
• Environmental Studies
  

In the first semester, students will learn the basic concepts of C programming, which develops logical thinking through programming—an important skill required for writing efficient algorithms in AI models.

Semester 2

• Data Structures
  
• Engineering Mathematics II
  
• Object-Oriented Programming with Java
  
• Digital Electronics
  
• Basics of Artificial Intelligence
  
• Soft Skills Development
  

The second semester lays the foundation of coding and logic design for students.

Semester 3

• Probability and Statistics
  
• Computer Organisation and Architecture
  
• Database Management Systems
  
• Python for Artificial Intelligence
  
• Operating Systems
  
• Data Communications and Networks

In the third semester, students learn Python programming to develop AI models using libraries such as TensorFlow and NumPy. As Dutch programmer Guido van Rossum once said, “Python is the language of AI.”

Semester 4

• Design and Analysis of Algorithms
  
• Machine Learning Fundamentals
  
• Computer Graphics
  
• Artificial Neural Networks
  
• Internet of Things (IoT)
  
• Discrete Mathematics
  

In this semester, students get to know Machine Learning — the heart of AI technology. The syllabus helps students to recognise patterns and make data-driven decisions.

Semester 5

• Deep Learning
  
• Data Mining and Data Warehousing
  
• Natural Language Processing (NLP)
  
• Cloud Computing
  
• Research Methodology
  

Real-world example: The use of NLP in popular voice assistants like Alexa and Siri helps students understand how AI interprets and responds to human commands.

Semester 6

• Reinforcement Learning
  
• Computer Vision
  
• Big Data Analytics
  
• AI Ethics and Governance
  
• Minor Project

This semester, based on real-world projects, helps students learn how to make ethical AI decisions and ensure fairness in algorithms.

Semester 7

• Robotics and Automation
  
• Human–Computer Interaction
  
• Advanced Deep Learning
  
• Predictive Analytics
  
• Major Project Phase I
  

Semester 8

• Industrial Training / Internship
  
• Capstone Project / Research Thesis
  
• Emerging Trends in Artificial Intelligence
  

In the last two semesters, students are equipped with both theoretical knowledge and industry exposure, enabling them to tackle complex AI-driven challenges.

Besides, the programme goes beyond teaching coding and data analysis. It encourages students to think critically, ethically, and creatively. Effective problem-solvers understand that AI is not just about algorithms, it also involves human decision-making and the choices people make while designing and applying technology.

Also Read: Top B.Tech Universities in Delhi: Rankings, Fees & Admission

Artificial Intelligence B Tech Syllabus Overview

The Artificial Intelligence B Tech syllabus of K.R. Mangalam University is based on conceptual learning and practical application. The teachers and mentors of the B.Tech programme teach students outside of the technical fields by educating them about AI, human life, global industries and sustainable development.  

Also, students engage in projects, research, and live case studies that reflect real-world challenges faced by AI professionals today. The course explores how technology functions, its interaction with human behaviour, and its overall impact on society. 

Core Modules

Machine Learning & Deep Learning

Students explore the science of training machines to learn and improve from experience without explicit programming. It works with techniques such as regression, decision trees, and neural networks, and students gain hands-on experience using frameworks like TensorFlow and PyTorch. Through this, they develop a deep understanding of how intelligent systems are built, trained, and optimised for real-world applications.

Example: Imagine designing a system that predicts disease outbreaks or detects fake news—these are real-life applications powered by machine learning and deep learning models.

Data Science & Big Data

This module studies analysis and interpretation of massive datasets to gather trends and insights so as to guide decision making. Students learn preprocessing, statistical analysis, and visualisation techniques with Python, R, and Power BI tools.

Real-world insight: Companies like Netflix and Amazon use data science to recommend shows and products based on user behaviour—skills students develop through this subject.

Natural Language Processing (NLP)

NLP provides students with skills in a system that understands, interprets, and produces human language. They learn about AI for chatbots, translation tools and virtual assistants through this subject. Students learn text mining, sentiment analysis, and speech recognition.

Example: The technology behind Google Translate and Siri uses NLP principles that students master in this module.

Computer Vision

Computer Vision provides the same “see” and interpret image and video that humans do. Students explore information processing systems about image recognition, object recognition, and facial recognition in work on emotional detection and autonomous navigation projects.

Example: From self-driving cars that detect obstacles to security systems that recognise faces, this subject brings innovation to life through visual intelligence.

Ethics in AI

One of the most important chapters to this topic is responsible use of technology. Students discuss data privacy, algorithmic bias, and social implications of automation. They also explore ways in which fair, transparent, accountable AI systems can be built.

Quote: “The real challenge of AI is not whether it can think, but whether it should,” says John C. Havens, author of Heartificial Intelligence.

Through this module, students know that real innovation in AI is not only about technical skill, but moral wisdom combined with scientific skill.

Practical Exposure

Students at K.R. Mangalam University get access to state-of-the-art AI and ML labs, IBM-powered training modules, and industry internships to gain hands-on experience with real datasets and business problems.

B Tech Artificial Intelligence Eligibility and More at KRMU

Given below are the highlights of the B.Tech Artificial Intelligence at KRMU. 

Note: Students with strong analytical and problem-solving skills, and a curiosity for technology, often excel in this field.

Career Opportunities After B.Tech in Artificial Intelligence

AI graduates embark on a world where artificial intelligence drives nearly every industry. A human-computer interaction model that has been used to predict diseases in hospitals and automate bank transactions is now changing the way the modern world operates.

AI is everywhere and increasingly moving into healthcare, finance, automotive, manufacturing, retail, education, agriculture and cybersecurity. The growing use has increased the demand for competent professional designers to make smart algorithms, analyse complex data, and develop smart technologies.

AI and machine learning specialists are among the most sought-after jobs of the decade, according to the World Economic Forum’s Future of Jobs Report. Not only do these jobs offer high pay, but they also provide a meaningful career that has a significant impact on the world.

Let’s explore the top career paths for graduates of B.Tech in Artificial Intelligence. 

Top Career Roles

1. Machine Learning Engineer

Machine Learning engineers work with data or in machine learning, creating systems that can understand and predict an outcome, or make decisions without programming. They work with algorithms that make recommendations, fraud detection systems, and self-driving cars.

Annual Income Range (Freshers): Rs 5 Lakh to Rs 8 Lakh

2. Data Scientist

Data scientists are the detectives in the digital world. They gather, clean and interpret large numbers of data in order to inform businesses when to make informed decisions. The role requires technical expertise, statistical knowledge, and business skills.

K.R. Mangalam University students learn advanced data analysis, visualisation, and storytelling skills, helping them to handle complex data in finance, healthcare, and e-commerce.

Annual Income Range (Freshers): Rs 6 Lakh to Rs 8 Lakh

3. AI Research Scientist

AI Research Scientists are inventors who redefine what artificial intelligence can accomplish. They seek new algorithms, make deep learning models better and publish research that propels the next wave of AI innovation.

Annual Income Range (Freshers): Rs 10 Lakh to Rs 12 Lakh

4. Robotics Engineer

Robotics Engineers combine AI with mechanical and electrical systems to design robots that can act as human-like creatures. This career, from warehouse automation to surgical robots, is creative and precise.

This path teaches students about robotic perception, automation, and embedded systems. They often work on projects that represent real-world robotic challenges.

Annual Income Range (Freshers): Rs 4 Lakh to Rs 7 Lakh

5. Business Intelligence (BI) Developer

A business intelligence developer creates valuable insights that enable companies to take action and build better decisions. They build dashboards, analytics tools, and predictive models that guide business strategy.

In addition to data visualisation tools like Power BI and Tableau, K.R. Mangalam University students are trained in AI-driven analytics techniques and tools. They complement technical and strategic learning to serve leadership teams with data-backed insights.

Annual Income Range (Freshers): Rs 4 Lakh to Rs 6 Lakh

6. AI Software Developer

AI software developers design and build intelligent software applications, from virtual assistants to image recognition systems. They build algorithms with programming skills as well as information about AI algorithms to design software that automates processes or enhances user experience.

Annual Income Range (Freshers): Rs 4.5 Lakh to Rs 6 Lakh

*Note: The incomes mentioned above are sourced from various sources on the internet. Hence, they can vary.

Industry Insight

As per the new report published by McKinsey Global Institute, AI could add around $13 trillion to the global economy by 2030, creating millions of new tech-driven jobs.

Why Choose K.R. Mangalam University for B.Tech in Artificial Intelligence

The B.Tech Artificial Intelligence programme at KRMU is designed to bridge the gap between classroom instruction and real-world applications. The entire course enables students to acquire the necessary technical skills, practical experience and international perspective to succeed in AI 4.0.

Given below are the key points that make KRMU stand apart: 

Industry Collaboration: Working with IBM to train AI for practical training. 

Students experience real-life industry projects and mentoring from IBM professionals.

Advanced Labs: Modern space for experiments and research. 

The AI and Data Science laboratories have the most technologically advanced equipment, allowing students to experiment, develop, and build intelligent systems.

Expert Faculty: Industrial/Research professors with industry and research knowledge. 

These courses bring academic knowledge and experience to the student with an emphasis on real-life learning.

Holistic learning: Integrated approach with emphasis on innovation and ethics. 

The curriculum also includes technology with social awareness and encourages students to design AI systems that serve humanity with fairness.

Placement Support: IBM, Accenture, HCL, TCS, and Infosys are among the best recruiters. 

Placement training and industry connections are integral components of a robust program that ensures students are career-ready with both technological and communication skills.

Global exposure: Opportunities for international internships and collaborations. 

Students have a chance to work in global exchange programmes, experience cross-cultural learning and cross-cultural experiences.

Quote from a student:  “At K.R. Mangalam University, AI isn’t just theory—it’s a way of solving problems that impact the real world.”

Conclusion

The B.Tech. in Artificial Intelligence is more than a degree, it is a journey toward driving the digital revolution. With a thoughtfully designed curriculum, advanced laboratories, and expert mentorship, students gain the skills to create intelligent solutions that enhance everyday life.

At K.R. Mangalam University, learning goes beyond classrooms. Students engage in practical, real-world projects that challenge conventional thinking through research, innovation, and collaboration. The ecosystem nurtures curiosity and creativity, empowering learners to solve complex global problems through technology.

Artificial intelligence is not replacing humans—it is enabling them to think smarter, act faster, and innovate for a better future. Graduates emerge with not only technical expertise but also the vision to transform industries, communities, and the world through AI.

Also Read: Explore the Top Artificial Intelligence University in India