Bachelor of Technology (B.Tech.) CSE in Artificial Intelligence and Machine Learning - Centurion University of Technology and Management, Visakhapatnam

  • Years 4 Years
  • Type Course Under Graduate
  • stream Engineering
  • Delivery Mode
Written By universitykart team | Last updated date May, 13, 2024

B.Tech AI & ML: Course, Admission Process, Eligibility, Exams, Syllabus, Fees, Jobs, Top Colleges, Other Specializations

BTech Artificial Intelligence and Machine Learning is primarily a four-year undergraduate degree program that is offered as part of the Engineering stream. Students in BTech Artificial Intelligence and Machine Learning are required to write the program code for the machine. The code acts as a guide for the machine. They claim that the machine can perform tasks without human intervention.

Students who study BTech Artificial Intelligence and Machine Learning will be instructed in Mathematics as well as Physics in a modular manner in their initial few semesters. After that, the curriculum will be shifted to subjects that form the heart of AI. The top BTech AI and ML universities include IIT Hyderabad, VIT, and Chandigarh University. The annual average fees for BTech Artificial Intelligence and Machine Learning are around 1 to 2 Lakhs per year. The top companies such as Oracle, Wipro, and TCS offer internships to participants of this program.

Students who have completed B.Tech in machine learning and artificial intelligence are in high demand and the demand for them is going to increase. To be eligible to enroll in this four-year undergraduate degree first students must have passed their 10+2 Matric exams with an approved board, and secondly, they should have completed their examinations by completing Mathematics as well as Physics as their mandatory subjects. The final requirement could differ because different institutions have different admissions and cut-off dates for students.

The B.Tech. Artificial Intelligence and Machine Learning Course offers a rigorous curriculum that covers fundamental concepts such as algorithms, data structures, and programming languages, alongside advanced topics including neural networks, deep learning, and natural language processing. Through hands-on projects and real-world applications, students gain practical experience and insights into the complexities of developing intelligent systems.

The Admission Process for B.Tech. Artificial Intelligence and Machine Learning programs typically involve a series of steps to evaluate candidates' academic qualifications, technical aptitude, and passion for innovation. Prospective students need to meet specific eligibility criteria set by institutions, which may include minimum educational qualifications, entrance exam scores, and possibly interviews or written tests. The Entrance Exam for B.Tech. AI and ML programs vary across colleges, with some institutions conducting their entrance tests while others consider scores from national or state-level engineering exams.
BTech Artificial Intelligence and Machine Learning: Course Highlights

Level of Program

Undergraduate

Program Duration

4 Years

Eligibility Criteria

Candidates who pass their 10+2 examination from a recognized Board, as well as Science stream (Physics and Mathematics are compulsory subjects), are qualified

Admission Process

Both Entrance Test is based and Merit-based admissions process

Average Course Fee

INR 1,00,000/- up to INR 1,50,000 per annum

Average Starting Salary

Between 10 LPA and 15 LPA

Job Profiles

Data Analyst, Data Scientist, Data Engineer, Principle Data Scientist, Computer Vision Engineer etc

What is BTech Artificial Intelligence and Machine Learning about?

In essence, the B.Tech undergraduate program, which is based on Artificial machine learning and intelligence is focused on programming machines. It assists the candidate to communicate with the machine in its mother language. This means that in the program, the candidate has to learn these specific languages that are used to modify the capabilities of machines.

This is just one of many facets of this program. A lot more is taught in addition to these basic subjects. Many aspects that aid the student to understand the function of computers are covered in this class, for example, information related to knowledge representation models, probabilistic models, and reasoning methods are taught to the students from the computer's perspective.

The applicants don't just study artificial intelligence, they are also familiar with more intricate aspects of the discourse. For example, they are taught about deep learning, human-computer interaction, and Augmented Reality. Some institutions also offer students interdisciplinary courses in the program. Students might be required to study advanced computing, internet functioning and computer networks, psychology marketing a computer program, and robotics.

It's not a new phenomenon however, in recent years, with the advent of the internet, a new age of automation also progressed. The demand for artificial intelligence is exploding. The largest companies in the world are based on programming, for example, Facebook Google in the world player, and Wipro among others. Indian IT companies are likely to employ individuals who have graduated from this undergraduate program. This could provide plenty of opportunities for graduates once they enter the service industry.

Why Study BTech Artificial Intelligence and Machine Learning course?

The global market since the introduction of smartphones and the internet has been swaying towards the use of artificial intelligence. In the present age of automation, machines are needed for performing a variety of tasks. The lives of people in our current world are dependent on the working of these machines.

(1). The market portion of artificial intelligence is predicted to grow by USD 190.61 Billion in 2025.

(2). AI in the present world is everywhere It has found its way into the service sector on a variety of levels.

(3). In today's automated world, it is very uncommon to find a single sector or horizon unaffected by AI.

This will allow the candidates to get these highly desirable jobs that are bound to increase over time.

BTech Artificial Intelligence and Machine Learning Admission Process

BTech Artificial Intelligence and Machine Learning Admission to the course is generally processed in two ways. An institute may organize an entrance exam, or scrutinize the applicant's merits by analyzing their performance in matric 10+2 examinations. Some institutes have their entrance tests that are solely focused on the distribution of seats for the course. Other institutes offer similar BTech Artificial Intelligence and Machine Learning Entrance Exams but they also take into account the performance of candidates in other India broad exams, like JEE to determine if they can grant admission. The steps to follow related to the admission process are given below.

Step 1: The candidate needs to pass their 10+2 examination with at least 50%. This percentage could differ however it's the same for the majority of institutions. After achieving this, he is eligible to sit for entrance exams to register shortly.

Step 2: Different institutes offer different entrance exams, to be eligible for admission to an IIT the applicant must pass the IIT JEE Advanced exam. Some universities such as Chandigarh University offer their tests that are required to pass to gain a seat. Similarly, universities like Indraprastha take into consideration the scores of applicants both in their university exams and in all India large exams such as JEE.

Step 3: After that, the candidate is required to pass the counseling process, and some institutions may even have an individual interview stage that may require clearance from the student.

B.Tech AI & ML Eligibility Criteria

The eligibility criteria for a BTech program in Artificial Intelligence and Machine Learning typically require candidates to have completed their higher secondary education with a strong background in mathematics, physics, and computer science. Additionally, proficiency in programming languages such as Python and a keen interest in artificial intelligence concepts are often sought after. Some institutions may also require applicants to clear entrance exams or interviews to assess their aptitude for the program.

As previously mentioned, the eligibility criteria for this particular undergraduate varies depending on the college. However, there are a few requirements that are necessary to complete this undergraduate course at the majority of institutions. This criterion is discussed further below.

(1). Candidates must pass the 10+2 test in the PCM field, or from an approved state or central education board.

(2). The candidate must have scored an average of 50% marks in his matric exam 10+2,

(3). Candidates from the SC/ST category are admissible after getting the required 45% marks in their matric exams.

(4). Additionally, specific university tests must be passed in order in order to be deemed suitable for the course.

B.Tech AI & ML Top Entrance Exams

The B.Tech entrance exams for Artificial Intelligence and Machine Learning programs typically cover a range of topics including mathematics, computer science fundamentals, algorithms, and programming languages. Additionally, candidates may be assessed on their understanding of AI and ML concepts, problem-solving abilities, and logical reasoning skills. These exams aim to identify candidates with the potential to excel in these fields and contribute to the advancement of artificial intelligence technologies.

Entrance Exams

Exam Dates

JEE Mains

Check Here

JEE Advanced

Check Here

WBJEE

Check Here

VITEEE

Check Here

SRMJEE

Check Here

KEAM

Check Here

B.Tech AI & ML How to Prepare for Entrance Exam

These steps can be used as stepping steps for preparing your entrance exam for the particular undergraduate course.

(1). Most importantly, the candidate must first mark his calendar with the dates for the exams the candidate would like to pass in addition to obtaining the most important information about these exams, such as the admission forms, the syllabus, and the eligibility criteria.

(2). student during his first days of preparation should examine the syllabus thoroughly to be capable of determining what he needs to learn for the tests. This will also assist the student in purchasing books that could be a good complement to his studies.

(3). When you've gained an understanding of what needs to be learned and what is required to be studied, the candidate can search for various resources. Exam papers from previous years are a good source to begin, as this will assist the candidate in understanding the format of the exam and the topics that are frequently asked, which pattern is used, and the marking scheme. The papers could also serve as a reference point to purchase books that will aid the student's preparation. Based on their preferences, they can also register themselves in a coaching school that will further help them with the same.

(4). After studying the entire syllabus or a significant portion of it, candidates should pass mock tests to test their knowledge. which will assist them in filling in gaps in their knowledge base.

(5). A few weeks before the exam, the candidate should spend time in revision to consolidate the knowledge he has absorbed during his preparation.

How to Get Admission in Top College

(1). Search for the colleges that you'd like to go to, and then make a comprehensive list of the details regarding those colleges.

(2). Determine the admission procedure based on the eligibility criteria before filling in the admission form.

(3). Fill in the form for admission. There are a variety of net centers that could assist the candidate in filling out their forms in a proper manner.

(4). The candidates then should keep a copy of their 10+2 marking sheet handy because it is required on most forms. Other necessary documents should be kept by the candidate in both soft and hard copies of forms.

(5). The candidate shall mark updates about the exam. Additionally, they should keep the dates of admissions in mind. Take the test

(6). After passing the exam, the candidates may be required to take part in an individual interview. Some institutes may even conduct group discussions at this point.

(7). After getting your name listed on the admissions list of the college you wish to attend, you will be required to pay the fees listed within time. This will be the final step in confirming your admission to the college you prefer.

B.Tech in Artificial Intelligence and Machine Learning Syllabus

Semester 1 Semester 2
  • 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
  • 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
Semester 3 Semester 4
  • 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
  • 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
Semester 5 Semester 6
  • 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
  • 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
Semester 7 Semester 8
  • 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
  • Major Projects 2
  • Program Elective-5
  • Program Elective-6
  • Open Elective - 4
  • Universal Human Value & Ethics
  • Robotics and Intelligent Systems

B.Tech Artificial Intelligence and Machine Learning Top Colleges

The BTech Artificial Intelligence and Machine Learning top colleges that offer this four-year undergraduate program in Artificial intelligence and machine learning are listed below.

Institute

City

Annual Fees

Chandigarh University

Chandigarh

INR 1.6 Lakh

Dev Bhoomi Uttarakhand University

Dehradun

INR 1.5 Lakh

Indraprastha Institute of Information Technology

Delhi

INR 3.6 Lakh

DYPatil International University

Pune

INR 2.1 Lakh

Sharda University

Noida

INR 1.8 Lakh

Sage University

Indore

INR 1.25 Lakh

Galgotias University

Noida

INR 1.7 Lakh

Lovely Professional University

Phagwara

INR 1.96 Lakh

IIT Hyderabad

Hyderabad

INR 1.25 Lakh

B.Tech Artificial Intelligence and Machine Learning College Comparison

When comparing colleges offering a B.Tech in Artificial Intelligence and Machine Learning, it's essential to evaluate factors such as accreditation, faculty expertise, curriculum comprehensiveness, infrastructure quality, industry collaborations, research opportunities, placement records, practical learning facilities, reputation, and student support services. These elements collectively shape the educational experience and can help prospective students make informed decisions aligning with their academic and career aspirations in AI and ML.

This is a table of analysis of colleges that offer B.Tech in Artificial Intelligence and Machine Learning --

Parameters

Chandigarh University

Indraprastha Institute of Information Technology

SRM Institute of Science and Technology (SRM IST)

Overview

Many aspects of AI such as the representation of knowledge, probabilistic models as well as machine learning, are covered in this course.

Students can take advantage of a special course that covers robotics, computer vision, and autonomous systems

It offers a B Tech. It offers B Tech. Computer Science and Engineering (Artificial Intelligence and Machine Learning).

Rank (NIRF)

117

56

41

Average Course Fees

INR 4-5 Lakhs

INR 7 to 7-8 lakhs

INR 10 -11 Lakhs

Average Salary Offered

INR 8-10 LPA

INR 16-17 LPA

INR 14-15 LPA

Top Companies

Tech Mahindra, Tata Elxsi and Infosys

Wipro, TCS, and Zenith

Oracle, HCL technologies, and Mastek

BTech Artificial Intelligence and Machine Learning Course Comparison

B.Tech in Artificial Intelligence and Machine Learning vs B.Tech in Computer Science and Engineering

Parameters

B.Tech in Artificial Intelligence and Machine Learning

B.Tech in Computer Science and Engineering

Level

Undergraduate

Undergraduate

Duration

4 years old

4 years old

Eligibility

A minimum score of 50 percent (Relaxable for students in the reserved category) marks at the UG level.

The minimum score is 55 percent (Relaxable for students in the reserved category) at the UG level.

Average Course Fees

Between INR 2 to 12 Lakhs

Between INR 2 to 10 Lakhs

Average Salary Offered

Between 3.5 LPA to 4.5 LPA

INR 1.5 to 3.5 Lacs

Top Companies

Oracle, Facebook, Infosys

TCS, Wipro, DXC,

Job Profile

Machine Learning Engineer, Big Data & AI Architect, Big Data Scientist, Artificial Intelligence Engineer

Software engineers, application developers, network engineers, hardware engineers, CAD engineers

B.Tech Artificial Intelligence and Machine Learning Jobs

There are numerous opportunities that await those who are a B.Tech graduate in the field of artificial intelligence and machine learning. some of the largest corporations in India and abroad are looking to employ these graduates.The following companies are among them:

Google
Facebook
Wipro
IBM
NIIT
Oracle
Genpact
HDFC Bank

The range of expertise in this field could assist the graduate in seeking jobs in the private and public sectors and can be pursued by these jobs:

Machine Learning Engineer
Big Data & AI Architect
Big Data Scientist
Artificial Intelligence Engineer
Research Engineer - Artificial Intelligence
Data and AI Consultant
Robotics Professional

Job profiles for those jobs are in the following order:

Job Position

Job Description

Average annual Salary

Software Engineer

In essence, the individual is a computer programmer and application developer. He assists in developing user-oriented programs like web browsers, etc.

INR 5.3 Lakhs

Machine Learning Engineer

You must execute algorithms to run particular programs. In addition, you must ensure that they are running smoothly.

INR 6.7 Lakhs

Data Scientist

A Data Scientist gathers analyses, interprets, and analyzes massive amounts of unstructured data by using Machine Learning and predictive analysis to gain insight and create strategies for the future.

INR 7.3 Lakhs

Data Analyst

A Data analyst begins by acquiring data on the subject matter and then organizes, interprets, and analyzes the data. and finally, present the results in complete reports.

INR 5.4 Lakhs

Data Architect

He creates highly scalable data management employing machine learning language.

INR 5.6 Lakhs

B.Tech Artificial Intelligence and Machine Learning Future Scope

The future scope for graduates with a B.Tech in Artificial Intelligence and Machine Learning is incredibly promising. As AI and ML continue to revolutionize various industries, there is a growing demand for professionals skilled in these areas. Graduates can pursue careers in fields such as healthcare, finance, automotive, cybersecurity, and more. They can work as data scientists, machine learning engineers, AI researchers, robotics engineers, and AI consultants, among other roles. Additionally, with advancements in technology, there are ample opportunities for innovation and entrepreneurship in AI-driven startups. As AI and ML become increasingly integrated into society, the demand for skilled professionals in this field is expected to soar, offering exciting and rewarding career prospects for B.Tech graduates in Artificial Intelligence and Machine Learning.

(1). The whole artificial intelligence market is predicted to increase by USD 21.46 Billion in 2018 to USD 190.61 Billion by 2025.

(2). The neural network market that will be covered in this class is predicted to be worth $23 billion by 2024.

(3). A worker in a normal firm could earn as much as 6-7 lacs per year, while well-known firms such as Wipro as well as Facebook provide their workers with about 30 lacs annually.

(4). As with all professions the pay rate gradually increases with time and the development of new capabilities.

(5). The progress made towards AI will only continue to grow as they allow human activity to run without any hindrance, they enable the smooth operation of aligned chains.

BTech Artificial Intelligence and Machine Learning: FAQs

Q. What is B.Tech in Artificial Intelligence and Machine Learning?

Ans. B.Tech in Artificial Intelligence and Machine Learning is an undergraduate program that focuses on the principles, techniques, and applications of AI and ML. Students learn about algorithms, data analysis, neural networks, and other AI-related concepts to develop intelligent systems.

Q. What are the career prospects after completing B.Tech in AI and ML?

Ans. Graduates can pursue careers as data scientists, machine learning engineers, AI researchers, robotics engineers, AI consultants, and more. They can work in various industries such as healthcare, finance, automotive, cybersecurity, and retail.

Q. What subjects are covered in the B.Tech AI and ML curriculum?

Ans. The curriculum typically covers subjects like data structures, algorithms, machine learning, deep learning, natural language processing, computer vision, robotics, and AI ethics. Students also undertake projects and internships to gain practical experience.

Q. Are there any prerequisites for pursuing B.Tech in AI and ML?

Ans. While not mandatory, a strong background in mathematics, statistics, and programming is beneficial. Familiarity with concepts like calculus, linear algebra, probability, and Python programming language can help students grasp AI and ML concepts better.

Q. What are the research opportunities available in this field?

Ans. B.Tech students in AI and ML can engage in research projects under faculty guidance. They can explore topics like reinforcement learning, generative adversarial networks, explainable AI, and AI for social good. Participation in conferences, workshops, and hackathons also provides exposure to the latest research trends.

Q. How can I prepare for a career in AI and ML during my B.Tech studies?

Ans. Apart from academic coursework, students can enhance their skills by working on personal projects, participating in coding competitions, attending workshops, and pursuing certifications in AI and ML. Building a strong portfolio and networking with professionals in the field can also boost career prospects.

Q. Is there any industry collaboration or placement assistance provided by colleges?

Ans. Many colleges have collaborations with industry partners and offer placement assistance to students. They conduct campus recruitment drives, invite guest lectures from industry experts, and facilitate internships with leading companies in AI and ML.

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