Key Differences between B.Tech in AI, Data Science and IoT

Key Differences between B.Tech in AI, Data Science and IoT

I would like to recommend that you do some introspection and identify your area of interest before taking a B.Tech specialization program, even if it all depends on your interests and not the simplicity or difficulty of any course. Data science, Artificial Intelligence, IoT and other tech courses are nevertheless necessary for the present and the future. You can check into these types of courses in the future. The KCC Institute Technology and Management would be a fantastic choice if you want to pursue B.Tech Artificial Intelligence and Data Science in Greater Noida. It has connections with a wide range of companies all across the India and abroad and a well-experienced faculty to impart quality education.

Before we discuss the differences between the top 3 specializations in B.Tech program namely artificial intelligence, data science and Internet of Things IoT, we must talk about the similarities between them.

What Connects AI, DA and IoT with B.Tech?

All three specializations are inter-connected and have a vast scope for future employments in tech giant companies. Whether it’s Artificial intelligence and Machine Learning, Artificial Intelligence and Data Science or simply Internet of Things, all these courses have an equal share of popularity in the tech community and the future holds many rewards for experts in these technologies. So if you are craving for a job that never lose its shine, then B.Tech Artificial Intelligence in Greater Noida is the way to go.

Depending on your area of interest and career goals, you can choose any of the specializations if you meet the eligibility criteria for B. Tech CSE programs which we will mention in this blog. But be sure that you choose the right college for B.Tech in AI and Data Science because it will get you placed in the right company as a beginner.  

List of Common Topics in Different Specializations:

However, there are many differences in their syllabus and career options:

Let me show the list of basic subjects covered in AI, DS and IoT respectively.

Subjects in CSE (Data Science):

  • Big Data Analytics
  • Data Science
  • Data Visualization
  • Information Security
  • Data warehouse and Mining
  • Machine Learning
  • Web analytics and Development


Subjects in CSE (AI&ML):

  • Intelligent systems
  • AI for games
  • Machine Learning
  • Data Visualization
  • Deep Learning


Subjects in CSE (IoT):

  • Introduction to IOT
  • Machine Learning
  • Big Data Analysis
  • Web-technologies
  • Real time embedded systems
  • Communications protocols
  • Database and Network Security
  • Collaborative intelligence


You can see that each of the three specializations has some of the same topics. All of the aforementioned courses will have the identical first-year curriculum before the course turns to focus on their individual fields. A few topics are also likely to be shared by all three specializations in the advance phase of your B. Tech CSE program.

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Eligibility Criteria

Eligibility criteria for admission in B.Tech CSE programs with specializations in AI, DS and IoT are the same.

The following criteria must be met by the aspirants' engineers in order to be eligible, as shown in the table:

  • Candidates must possess a Bachelor of Science in a non-medical area (PCM topics), a Bachelor of Computer Application (BCA), a Bachelor of Science in Computer Science (BSc Computer Science), or an equivalent degree.
  • Candidates must have obtained a Science stream Class 12 diploma from any reputable Indian board.
  • Candidates must have a minimum cumulative grade point average of 50% in the science stream in Class 12
  • Reserved categories like SC and ST receive a 5% relaxation
  • Physics, math, chemistry, and a fifth topic of the student's choosing must all be covered in the qualifying exam.

B.Tech in Artificial Intelligence and Machine Learning

Course Overview

Artificial intelligence (AI) is a broad term for the intelligence that smart machines may use to execute tasks that ordinarily need human intelligence. The B. Tech in Artificial Intelligence colleges are intended to assist students in creating intelligent devices, software, or apps using a combination of machine learning techniques. This course aids in the acquisition of intelligent solutions in a variety of below-discussed fields. This blog will assist you in understanding B. tech in artificial intelligence if you want to pursue a profession in this area.

B.Tech artificial intelligence in Greater Noida is the best destination to pursue a 4-year undergraduate program leading to a Bachelor of Technology in Artificial Intelligence. Artificial intelligence's fundamental objective is to program computers to use sample data or prior knowledge to solve problems. The numerous computer science languages that a person can interface with them in for carrying out various activities are taught to the students at B.Tech artificial intelligence colleges. The B.Tech degree covers some popular languages like HTML, Python, Java, and Prolog.

Career Scope in AI

For individuals who pursue a 4 year degree program at B.Tech in artificial intelligence colleges, there are numerous employment opportunities available to them. Here are a few perks of B. Tech in Artificial Intelligence in Greater Noida.   

  • There are many AI careers available, with hiring increasing by 32% in recent years.
  • There is a severe talent shortage—not enough suitable candidates are applying for open positions.
  • AI experts make high incomes, well over INR 1000,000 per year
  • AI employment offer a variety of growth options because the field is continually expanding.
  • Careers in AI are versatile; you might work as a consultant, freelancer, researcher, practitioner, or even develop your own AI product.

best colleges for b tech in artificial intelligence

There are a few job descriptions listed along with their typical salaries.

  • Artificial Intelligence Engineer – INR 5-20 LPA
  • Business Intelligence Developer – INR 3-15 LPA
  • Machine Learning Architect – INR 7-10 LPA
  • Software Engineer – INR 3-14 LPA
  • Software Architect – INR 10-25 LPA
  • Data Analyst – INR 3-10 LPA
  • Robotics Engineer – INR 3-18 LPA


B.Tech in Artificial Intelligence and Data Science

Data science includes artificial intelligence. Artificial intelligence is utilized by the discipline of data science for its operations. Machine learning ties data science and artificial intelligence together.

Students will develop abilities in areas including statistics, data science, machine learning, computer science, and logic through B.Tech AI and data science courses.

In this course, topics including big data analytics, fuzzy technologies, and artificial neural networks are also highlighted. It aids students in developing the necessary skills to make judgments based on data analysis.

Perks of B.Tech Artificial Intelligence and Data Science

Graduates who have completed a B.Tech in AI and Data science can find success in the fields of artificial intelligence and data science.

  • This course is becoming more and more popular every day. Artificial intelligence and data science have experienced rapid growth in recent years.
  • It is one of the most difficult disciplines to study in the modern world because there are so many excellent career options.
  • Students might select this course because it will prepare them for the workplace and help them launch their careers as data scientists and data analysts.


Career Scope

The business, telecommunication, e-commerce, healthcare, climatology, social networking companies, biotechnology, genetics, research and development, IT industry, and IT-enabled service industries, banking, government agencies, insurance, aerospace, etc. are just a few of the career opportunities or scopes available after pursuing a B. Tech in AI.

After graduating, students have the option of continuing their studies in fields including artificial intelligence and data science. Even some students choose to get ready for tough exams.

Therefore, it can be said that B. Tech AI graduates will have a very promising future. Here are a few notable job positions in this field:

  • Data Scientist – INR 5-15 LPA
  • Machine Learning Engineers – INR 7-10 LPA
  • Database Developer – INR 3-12 LPA
  • Big Data Engineer/Architect – INR 4-14 LPA
  • Data Analyst – INR 3-10 LPA


You probably have noticed that a number of jobs are same in both Artificial Intelligence and Data Science specializations.

B.Tech in Internet of Things IoT

B.Tech in IoT, or the "Internet of Things," is a field of study that focuses on the network of various objects that are equipped with sensors, software, and other technologies to communicate and exchange data with other systems and gadgets over the Internet. The course teaches participants how the Internet of Things can be useful in their daily lives and how to maintain online connections.

Course subjects

  • Internet of Things
  • Cloud Computing
  • Software Development
  • Statistical Data Analysis
  • Dissertation


People who take a B.Tech in IoT course can also find employment as IoT Engineers, IoT Experts, Development Engineers in IoT Applications, and other job categories in this industry. In order for the student to have a better knowledge of the course, the course provides an insight into what is covered in the subject and all of its elements.

Career Scope

These are the following career options in B. Tech in IoT:

  • Data analysts – INR 3-10 LPA
  • Network engineer – INR 2-5 LPA
  • Protection engineer – INR 3-15 LPA
  • Device and Hardware engineer – INR 4-14 LPA
  • Cell and UI development – INR 2-10 LPA


Fees and Admission

The following chart compares the average course fee of B. Tech CSE with AI, DS and IoT specializations along with admission process. 


Fees per annum


B. Tech CSE with AI and ML

INR 1-1.5 LPA

Both entrance based and merit based admissions

B. Tech CSE with AI and Data Science


Both entrance based and merit based admissions

B. Tech CSE with IoT

INR 1-1.5 LPA

Both entrance based and merit based admissions



B.Tech CSE offer a wide range of specializations but AI, DS and IoT are the most popular ones. Apart from these, you can also choose B. Tech in information technology offered by KCC Institute of Technology and Management, the best destination for B.Tech artificial intelligence in Greater Noida. Hope this information helps you find out the best specialization in B. Tech CSE program. Good luck.

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FAQ for Key Differences between B.Tech in AI, Data Science and IoT



All three specializations are interlinked and have a wide range of potential future work opportunities in the tech industry. All of these courses, whether it be Artificial Intelligence and Machine Learning, Artificial Intelligence and Data Science, or just Internet of Things, are equally popular in the computer world.


CSE General is better than AI and Data Science. AI and DS are sub-specializations to impart education on AI and DS specifically. But CSE gives you more opportunities in the job sector. 


AI, Data Science and IoT are interdependent technologies. They mean nothing by themselves. The key is to have all 3 technologies work together because it’s not tech which matters but the product.  


By 2025, data science and artificial intelligence will have an impact on all facets of daily life, from transportation and logistics to healthcare and customer service, making them two of the most popular line of study of the twenty-first century. KCC Institute of technology and management is the best place to study AI and DS. 


AI is the study of adding smart features to machines to replicate human behavior and intelligence while data science curriculum specializes in statistics, algorithm, programming and other analytical topics. AI focuses on analysis, interpretation, and decision-making while IoT focuses on connectivity and automation.

Q6. What job roles can I expect after completing B. Tech in AI, Data Science, and IoT?
  • Data Analyst
  • Network engineer
  • Cell and UI developer
  • Database developer
  • Big data engineer
  • Robotics engineer
  • AI engineer
  • Data Analyst

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