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B.Tech Artificial Intelligence & Data Science Introduction
B.Tech Artificial Intelligence and Data Science is a four-year undergraduate degree program that focuses on the fields of artificial intelligence and data science. B.Tech Artificial Intelligence & Data Science program combines the fundamentals of computer science, mathematics, and statistics to provide students with a deep understanding of the principles, tools, and techniques used in these fields.
B.Tech Artificial Intelligence & Data Science program covers a wide range of topics, including machine learning, natural language processing, computer vision, data analytics, big data, and data mining. Students also gain knowledge in programming languages such as Python, R, and Java, which are widely used in the field of artificial intelligence and data science.
During B.Tech Artificial Intelligence & Data Science program, students undertake various projects and practical assignments to enhance their knowledge and develop their problem-solving skills. They also get the opportunity to work on real-world problems through internships and industry collaborations, which helps them understand the practical applications of artificial intelligence and data science in various industries.
Upon completion of the B.Tech Artificial Intelligence & Data Science program, graduates can pursue career opportunities in various sectors such as IT, finance, healthcare, manufacturing, and e-commerce, to name a few. They can work as data analysts, machine learning engineers, data scientists, AI engineers, and data architects, among others. They can also pursue higher studies such as a master’s degree or a Ph.D. in the field of artificial intelligence and data science.
B.Tech Artificial Intelligence & Data Science Highlights
Course Name | B.Tech Artificial Intelligence & Data Science |
Type of Course | Undergraduate |
Duration | 4 years |
Admission process | Entrance Exams and Merit-based |
Eligibility Criteria | 10+2 by (PCM) With a minimum 50% To 60% |
Approximately Annual Fee | INR 50,000 to 1,50,000 lakhs |
Here are some of the key highlights of the B.Tech Artificial Intelligence & Data Science program:
Curriculum: B.Tech Artificial Intelligence & Data Science program is designed to provide students with a comprehensive understanding of the concepts and applications of artificial intelligence and data science. B.Tech Artificial Intelligence & Data Science curriculum covers a range of topics, including machine learning, deep learning, natural language processing, computer vision, big data, data analytics, and data mining.
- Practical training: B.Tech Artificial Intelligence & Data Science program includes hands-on training in various tools and technologies used in artificial intelligence and data science, including Python, R, TensorFlow, Keras, Hadoop, and Spark. Students also undertake various projects and assignments to apply their theoretical knowledge to real-world problems.
- Industry partnerships: B.Tech Artificial Intelligence & Data Science program has tie-ups with leading companies in the field of artificial intelligence and data science, which provide students with opportunities for internships, live projects, and industry collaborations. This exposure to the industry helps students understand the practical applications of AI and data science in various domains.
- Experienced faculty: B.Tech Artificial Intelligence & Data Science program is taught by experienced faculty members who are experts in the field of artificial intelligence and data science. They provide students with mentorship and guidance to help them develop their skills and achieve their career goals.
- Career prospects: The B.Tech Artificial Intelligence & Data Science program prepares students for a range of career opportunities in various sectors such as IT, finance, healthcare, manufacturing, and e-commerce. Graduates can work as data analysts, machine learning engineers, data scientists, AI engineers, and data architects, among other roles.
Higher education options: B.Tech Artificial Intelligence & Data Science program also provides a strong foundation for students who wish to pursue higher education in the field of artificial intelligence and data science, such as a master’s degree or a Ph.D.
B.Tech Artificial Intelligence and Data Science Skills Requirement
Here are some of the skills that are essential for pursuing a B.Tech Artificial Intelligence & Data Science program:
- Mathematics: A strong foundation in mathematics is crucial for understanding the concepts of artificial intelligence and data science. Candidates must have a good understanding of calculus, linear algebra, probability, and statistics.
- Programming: Candidates must have a strong programming background, particularly in languages like Python, R, and Java. Knowledge of data structures, algorithms, and object-oriented programming is also important.
- Data Analysis: Candidates must have the ability to analyze and interpret large datasets. This involves knowledge of data visualization techniques, statistical analysis, and machine learning algorithms.
- Problem-Solving: Candidates must have good problem-solving skills and the ability to think critically. They must be able to identify problems and find solutions to them.
- Communication: Candidates must have good communication skills, both written and verbal. They must be able to articulate their ideas and explain complex concepts to others.
- Adaptability: Candidates must be adaptable to new technologies and be willing to learn continuously. They must be able to keep up with the rapidly changing field of artificial intelligence and data science.
- Teamwork: Candidates must have good teamwork skills and be able to collaborate with others. They must be able to work in a team to solve complex problems.
It is important to note that these skills are not exhaustive and may vary depending on the university or institution offering the B.Tech Artificial Intelligence & Data Science program.
B.Tech Artificial Intelligence & Data Science Admission Process
The admission process for B.Tech Artificial Intelligence & Data Science program may vary from one university or institution to another. However, the following are the general steps involved:
- Eligibility Criteria: The first step is to ensure that you meet the eligibility criteria for the program. The eligibility criteria may include academic qualifications, minimum percentage, and age limit.
- Entrance Exam: Most universities or institutions require students to appear for an entrance exam. The entrance exam may be conducted by the university or by a common entrance exam conducted at a national or state level.
- Application Form: Students need to fill out the application form for the B.Tech Artificial Intelligence and Data Science program. The application form can be downloaded from the university website or obtained in person from the university.
- Documents Required: Along with the application form, students need to submit the required documents such as mark sheets, certificates, entrance exam scorecards, and other relevant documents.
- Selection Process: The selection process may involve a combination of entrance exam scores, academic performance, and personal interviews. Some universities may also conduct group discussions or practical tests.
- Counseling: Students who are selected for the program will be called for counseling where they can choose their preferred course and specialization.
- Admission Confirmation: Once the counseling process is completed, students need to confirm their admission by paying the admission fee and submitting the required documents.
It is important to note that the admission process may differ for each university or institution. Students are advised to check the admission process of the universities they are interested in and follow the guidelines accordingly.
B.Tech Artificial Intelligence & Data Science Eligibility Criteria
The eligibility criteria for B.Tech Artificial Intelligence & Data Science program may vary from one university or institution to another. However, here are some general eligibility criteria:
- Academic Qualification: Candidates must have passed their 10+2 or equivalent examination from a recognized board or university with Physics, Chemistry, and Mathematics as compulsory subjects. Some universities may also require candidates to have studied Computer Science as an additional subject.
- Minimum Percentage: Candidates must have secured a minimum percentage in their 10+2 or equivalent examination. The minimum percentage requirement may vary from one university to another, but it is generally around 50% to 60%.
- Entrance Exam: Most universities or institutions conduct entrance exams for admission to the B.Tech Artificial Intelligence and Data Science program. Candidates need to appear for the entrance exam and secure a minimum qualifying score to be eligible for admission.
- Age Limit: There is generally no age limit for admission to the B.Tech Artificial Intelligence and Data Science program.
It is important to note that the eligibility criteria may differ for each university or institution. Candidates are advised to check the eligibility criteria of the universities they are interested in and ensure that they meet the requirements before applying for admission.
B.Tech Artificial Intelligence & Data Science Top Colleges in India
Below are some of the top universities in India that provide a B.Tech in Artificial Intelligence & Data Science along with their annual tuition costs:
Colleges | Location | Average FeesPer year |
---|---|---|
Birla Institute of Technology and Science (BITS) | Pilani | 4.23 LPA |
Manipal Institute of Technology (MIT) | Manipal | 4 LPA |
PSG College of Technology | Coimbatore | 1.2 LPA |
Amrita School of Engineering | Coimbatore | 3.5 LPA |
SRM Institute of Science and Technology | Chennai | 2.5 LPA |
Indian Institute of Technology | Hyderabad | 3 LPA |
Indian Institute of Technology | Kharagpur | 2.2 LPA |
National Institute of Technology (NIT) | Surathkal | 2 LPA |
Vellore Institute of Technology (VIT) | Vellore | 1.9 LPA |
It is important to note that the fee mentioned here is approximate and may vary from year to year. Also, there may be additional fees such as hostel fees, exam fees, etc. that need to be considered while calculating the total cost of the B.Tech Artificial Intelligence & Data Science program. It is advisable to check with the respective colleges for the most accurate and up-to-date information on fees.
B.Tech Artificial Intelligence & Data Science Syllabus
The syllabus for B.Tech Artificial Intelligence & Data Science can vary from university to university. However, the following is a general semester-wise breakdown of the core subjects that are typically covered in a B.Tech Artificial Intelligence & Data Science:
Semester 1:
- Mathematics-I
- Physics-I
- Chemistry
- Programming in C
- Engineering Graphics
- Environmental Studies
Semester 2:
- Mathematics-II
- Physics-II
- English Communication
- Programming in Python
- Basic Electronics
- Introduction to Data Science
Semester 3:
- Mathematics-III
- Data Structures and Algorithms
- Probability and Statistics
- Object-Oriented Programming using Java
- Digital Electronics and Microprocessors
- Data Visualization and Exploration
Semester 4:
- Artificial Intelligence and Machine Learning
- Database Management Systems
- Computer Organization and Architecture
- Operating Systems
- Web Development
- Data Mining and Warehousing
Semester 5:
- Deep Learning
- Natural Language Processing
- Information Retrieval
- Cloud Computing
- Big Data Analytics
- Optimization Techniques
Semester 6:
- Reinforcement Learning
- Robotics and Control Systems
- Internet of Things
- Business Analytics
- Cyber Security
- Elective-I
Semester 7:
- Reinforcement Learning
- Distributed Systems
- Robotics
- Project Management
- Elective II
Semester 8:
- Capstone Project
- Internship
- Elective III
- Elective IV
Note that the elective courses may vary depending on the university and program.
B.Tech Artificial Intelligence & Data Science Career Options
Graduates of a B.Tech Artificial Intelligence & Data Science program can pursue various job profiles, such as:
- Data Scientist: Data scientists use data analysis tools and machine learning algorithms to analyze large datasets and extract insights to support business decisions.
- Machine Learning Engineer: Machine learning engineers develop and deploy machine learning models that can perform complex tasks such as natural language processing, image recognition, and predictive analytics.
- Business Intelligence Analyst: Business intelligence analysts use data analysis tools to help businesses make informed decisions. They analyze data, identify trends, and provide insights to business stakeholders.
- Artificial Intelligence Engineer: Artificial intelligence engineers design, develop, and deploy intelligent systems that can perform tasks such as speech recognition, image processing, and natural language processing.
- Data Analyst: Data analysts collect, clean, and analyze data to identify patterns and trends. They use tools such as SQL, Excel, and Tableau to create reports and visualizations.
- Big Data Engineer: Big data engineers design and develop systems to manage and process large datasets. They use tools such as Hadoop and Spark to store, process, and analyze data.
- Computer Vision Engineer: Computer vision engineers develop systems that can recognize and understand visual data such as images and videos.
- Robotics Engineer: Robotics engineers design and develop robots that can perform tasks in various industries, such as manufacturing, healthcare, and transportation.
- Research Scientist: Research scientists conduct research to develop new machine-learning algorithms and techniques.
- Data Architect: Data architects design and maintain the structure of databases and data systems. They ensure that data is stored securely and efficiently and can be accessed easily.
B.Tech Artificial Intelligence & Data Science Salary
The salary for a B.Tech Artificial Intelligence & Data Science may vary depending on various factors such as location, industry, experience, and skills.
In India, the salary for a B.Tech Artificial Intelligence & Data Science can vary depending on the industry, location, and level of experience.
On average, the starting salary for a fresher with a B.Tech in Artificial Intelligence & Data Science in India is around 6-8 lakhs per annum. However, this can vary depending on the company and location. For example, in cities like Bangalore, Mumbai, and Delhi, the salaries tend to be higher due to the high demand for AI and Data Science professionals.
With experience and expertise, the salary can increase significantly. A mid-level AI and Data Science professional with 3-5 years of experience can earn around 12-15 lakhs per annum, while a senior-level professional with over 10 years of experience can earn 25 lakhs or more per annum.
In other countries, such as the United States, the average salary for a B.Tech Artificial Intelligence & Data Science can range from $70,000 to $120,000 per year for entry-level positions, with the potential to earn much more with experience and seniority. However, it is important to note that these figures are estimates and can vary widely based on individual circumstances.
It is also worth noting that the salary can vary based on the specific job role within AI and Data Science, such as data scientist, machine learning engineer, or AI researcher. In general, data scientists tend to earn higher salaries compared to other roles in the field.
Difference between BE Artificial Intelligence & Data Science and B.Tech Artificial Intelligence & Data Science
BE (Bachelor of Engineering) and B.Tech (Bachelor of Technology) are undergraduate programs in engineering that have a similar curriculum but may differ in some aspects such as the focus on practical training and project work. The main difference between BE and B.Tech Artificial Intelligence & Data Science is the emphasis and scope of the program.
BE in Artificial Intelligence and Data: BE in Artificial Intelligence and Data typically focuses on the theoretical and mathematical aspects of Artificial Intelligence and Data Science. The program covers topics such as algorithms, data structures, statistical analysis, machine learning, data mining, natural language processing, computer vision, and neural networks. This program may also cover some topics related to computer hardware and software development, but the emphasis is primarily on theoretical concepts.
B.Tech Artificial Intelligence & Data Science: B.Tech in Artificial Intelligence and Data, on the other hand, is more application-oriented and focuses on practical skills in addition to theoretical knowledge. The curriculum includes courses on programming languages, database management, data analytics, artificial intelligence, machine learning, and deep learning. B.Tech Artificial Intelligence & Data Science program also emphasizes project work and internships to give students hands-on experience with real-world problems and challenges.
In summary, BE in Artificial Intelligence and Data focuses on the theoretical and mathematical foundations of AI and Data Science, while B. Tech in Artificial Intelligence and Data emphasizes practical skills, application-oriented knowledge, and hands-on experience. Both programs have their strengths and can lead to successful careers in the field of AI and Data Science, depending on the individual’s interests and career goals.
B.Tech Artificial Intelligence & Data Science conclusion
B.Tech Artificial Intelligence & Data Science is an undergraduate program that focuses on practical skills and application-oriented knowledge in the field of AI and Data Science. B.Tech Artificial Intelligence & Data Science program covers topics such as programming languages, database management, data analytics, artificial intelligence, machine learning, and deep learning. It emphasizes project work and internships to give students hands-on experience with real-world problems and challenges.
With the increasing demand for AI and Data Science professionals in various industries, B.Tech Artificial Intelligence & Data Science provides students with a strong foundation to pursue careers in this field. Graduates can work as data analysts, data scientists, machine learning engineers, AI developers, and other related roles. They can also pursue further studies, such as a master’s degree or a Ph.D., to deepen their knowledge and expertise in this field.
Overall, B.Tech Artificial Intelligence & Data Science is a promising program for those interested in pursuing a career in the rapidly growing field of AI and Data Science.
Frequently Asked Questions about B.Tech Artificial Intelligence & Data Science
Q. What is B.Tech Artificial Intelligence & Data Science?
Ans. B.Tech Artificial Intelligence & Data Science is a four-year undergraduate program that focuses on the integration of artificial intelligence and data science in various fields such as healthcare, finance, education, and entertainment.
Q. What are the eligibility criteria for pursuing B.Tech in Artificial Intelligence & Data Science?
Ans. The eligibility criteria for pursuing B.Tech Artificial Intelligence & Data Science are: – The candidate must have completed their 10+2 from a recognized board with Physics, Chemistry, and Mathematics as compulsory subjects. – The candidate must have obtained a minimum of 50% marks in their 10+2 examination.
Q. What are the job prospects after completing B.Tech in Artificial Intelligence & Data Science?
Ans. The job prospects after completing my B. Tech Artificial Intelligence & Data Science are: – Data Analyst – Data Scientist – Machine Learning Engineer – Artificial Intelligence Engineer – Business Intelligence Analyst – Computer Vision Engineer – Natural Language Processing Engineer – Robotics Engineer
Q. What skills will I learn during B.Tech Artificial Intelligence & Data Science?
Ans. During B.Tech Artificial Intelligence & Data Science, you will learn skills such as: – Programming in Python, R, and other relevant languages – Machine Learning and Deep Learning techniques – Data mining and data visualization – Natural Language Processing and Text Analytics – Robotics and Computer Vision – Statistical analysis and modeling – Business Intelligence and Analytics
Q. What is the course curriculum of B.Tech Artificial Intelligence & Data Science?
Ans. The course curriculum of B.Tech Artificial Intelligence & Data Science generally includes subjects such as: – Mathematics for Machine Learning – Probability and Statistics – Data Structures and Algorithms – Artificial Intelligence and Machine Learning – Natural Language Processing – Computer Vision – Big Data Analytics – Data Mining and Warehousing – Cloud Computing