Bachelor of Technology in Artificial Intelligence and Data Science from Galgotia University

Eligibility (B.Tech in Artificial Intelligence and Data Science from Galgotia University)

The eligibility criteria for B.Tech in Artificial Intelligence and Data Science from Galgotia University are as follows:

·       The candidate must have passed 10+2 or equivalent examination with Physics, Mathematics, and Chemistry/Biology/Computer Science as compulsory subjects.

·       The minimum aggregate marks required in 10+2 or equivalent examination is 50% for General category candidates and 45% for SC/ST category candidates.

·       The candidate must have qualified in JEE Main or Galgotias Engineering Entrance Exam (GEEE) or any other State or National level engineering entrance exam.

Why do the course B.Tech in Artificial Intelligence and Data Science from Galgotia University

B.Tech in Artificial Intelligence and Data Science from Galgotia University is an excellent course choice for individuals interested in the field of AI and Data Science. Here are some reasons why one should consider doing this course from Galgotia University:

·       Strong Curriculum: Galgotia University offers a robust and industry-relevant curriculum for B.Tech in Artificial Intelligence and Data Science that equips students with the necessary skills and knowledge to excel in the field.

·       Excellent Faculty: The faculty members at Galgotia University are highly experienced and well-versed in their respective fields, providing students with an enriching learning experience.

·       Placement Opportunities: Galgotia University has a dedicated placement cell that assists students in securing job opportunities in top companies. Graduates from this program can expect to find employment in a variety of sectors such as data analytics, machine learning, artificial intelligence, and more.

·       State-of-the-art Infrastructure: The university boasts of excellent infrastructure, including modern classrooms, well-equipped labs, and a well-stocked library, providing students with an ideal learning environment.

·       Research Opportunities: Students at Galgotia University have the opportunity to work on cutting-edge research projects alongside experienced faculty members, helping them develop a deeper understanding of the field and prepare for future careers.

Highlights (B.Tech in Artificial Intelligence and Data Science from Galgotia University):

Admission Process 2023 (B.Tech in Artificial Intelligence and Data Science)

Galgotia University follows a simple and transparent admission process for B.Tech in Artificial Intelligence and Data Science. Here are the steps involved in the admission process:

·       Application: Candidates can fill the application form online through the official website of Galgotia University or they can obtain the application form from the admission office.

·       Entrance Exam: Candidates have to appear for Galgotia Engineering Entrance Exam (GEEE) or any of the national level entrance exams such as JEE Main, UPSEE, or any other equivalent entrance exam.

·       Counseling: Based on the candidate’s performance in the entrance exam, the university will shortlist the candidates for counseling. Shortlisted candidates will be called for counseling where they have to select their preferred course and college.

·       Seat Allotment: Seats will be allotted to the candidates on the basis of their rank in the entrance exam and their preferences.

·       Admission: Once the seat is allotted, candidates have to report to the college with all the necessary documents and pay the admission fee to confirm their admission.

Candidates are advised to keep an eye on the official website of Galgotia University for the latest updates and notifications regarding the admission process.

Syllabus to be Study in the duration of the course B.Tech in Artificial Intelligence and Data Science from Galgotia University:

The syllabus for B.Tech in Artificial Intelligence and Data Science from Galgotia University is designed to provide students with a comprehensive understanding of both AI and Data Science. The course is divided into 8 semesters, and the syllabus for each semester is as follows:

Semester 1

·       Mathematics-I

·       Chemistry

·       Communication Skills

·       Programming in C

·       Engineering Mechanics

·       Basic Electrical Engineering

·       Engineering Graphics

Semester 2

·       Mathematics-II

·       Physics

·       Environmental Science

·       Object-Oriented Programming using C++

·       Basic Electronics Engineering

·       Engineering Materials and Metallurgy

·       Introduction to AI and Data Science

Semester 3

·       Mathematics-III

·       Digital Electronics

·       Data Structures using C++

·       Discrete Mathematics

·       Probability and Statistics

·       Analog Electronic Circuits

·       AI and Data Science Techniques-I

Semester 4

·       Mathematics-IV

·       Computer Organization and Architecture

·       Database Management Systems

·       Operating Systems

·       Analysis and Design of Algorithms

·       Microprocessors and Microcontrollers

·       AI and Data Science Techniques-II

Semester 5

·       Artificial Intelligence

·       Data Mining and Business Intelligence

·       Big Data Analytics

·       Internet of Things

·       Machine Learning

·       Computer Networks

·       AI and Data Science Applications-I

Semester 6

·       Deep Learning

·       Natural Language Processing

·       Cloud Computing

·       Data Visualization

·       Human-Computer Interaction

·       Data Science Tools and Techniques

·       AI and Data Science Applications-II

Semester 7

·       Reinforcement Learning

·       Neural Networks and Fuzzy Systems

·       Cybersecurity and Ethics in AI

·       AI and Data Science for Healthcare

·       AI and Data Science for Social Media Analytics

·       AI and Data Science for Robotics

·       Project Management

Semester 8

·       Internship/Project

Note: The above syllabus is indicative and may be subject to change as per the university's guidelines.

Scope: B.Tech in Artificial Intelligence and Data Science from Galgotia University

B.Tech in Artificial Intelligence and Data Science from Galgotia University offers a wide range of career opportunities to graduates. As this field is still in its early stages of development, there is a high demand for professionals who are proficient in both Artificial Intelligence and Data Science.

Here are some potential career paths that graduates of this program may pursue:

Artificial Intelligence Engineer: These professionals work on developing and implementing AI solutions for businesses and organizations.

Data Analyst: This role involves analyzing and interpreting data to help businesses make informed decisions.

Machine Learning Engineer: These professionals build algorithms and models that allow machines to learn and improve over time.

Data Scientist: This role involves working with large datasets to extract insights and patterns that can be used to improve business operations.

Business Intelligence Analyst: These professionals use data analysis to provide insights and recommendations that help businesses make informed decisions.

AI Research Scientist: This role involves conducting research and developing new AI technologies.

AI Ethicist: These professionals work to ensure that AI is developed and used in an ethical and responsible manner.

Natural Language Processing (NLP) Engineer: These professionals work on developing systems that can understand and interpret human language.

Computer Vision Engineer: This role involves developing computer vision systems that can interpret and analyze visual information.

Robotics Engineer: These professionals design and develop robotic systems that can perform tasks autonomously.

Overall, B.Tech in Artificial Intelligence and Data Science from Galgotia University prepares students for careers in some of the most innovative and exciting fields of the future.

Frequently Asked Questions:

Question: What is the difference between Artificial Intelligence and Data Science?

Answer: Artificial Intelligence (AI) is the branch of computer science that focuses on creating intelligent machines that can perform tasks that typically require human intervention. Data Science, on the other hand, is the process of analyzing and extracting insights from large datasets. While AI is used to build intelligent systems, Data Science is used to derive insights from data.

Queston: What career options are available for graduates of B.Tech in Artificial Intelligence and Data Science?

Answer: Graduates of B.Tech in Artificial Intelligence and Data Science can pursue careers as Data Scientists, Machine Learning Engineers, AI Research Scientists, Big Data Engineers, Data Analysts, Business Intelligence Analysts, and many more.

Question: Is programming knowledge necessary for B.Tech in Artificial Intelligence and Data Science?

Answer: Yes, programming knowledge is necessary for B.Tech in Artificial Intelligence and Data Science. Students are expected to have a good grasp of programming languages such as Python, Java, and C++.

Question: What kind of projects can students expect to work on during the course?

Answer: Students can expect to work on a wide range of projects such as natural language processing, speech recognition, image recognition, and recommender systems. These projects are designed to give students hands-on experience with various AI and Data Science techniques and tools.

Question:What kind of companies hire graduates of B.Tech in Artificial Intelligence and Data Science?

Answer: Graduates of B.Tech in Artificial Intelligence and Data Science can be hired by a wide range of companies, including technology firms, financial institutions, healthcare companies, government agencies, and more. Some of the top recruiters in this field include Microsoft, Amazon, IBM, Google, and Facebook.