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B.Tech in Data Science and Artificial Intelligence
B.Tech in Data Science and Artificial Intelligence

B.Tech in Data Science and Artificial Intelligence

Are you ready to embark on a journey at the forefront of B.Tech in Data Science and Artificial Intelligence? B.Tech in Data Science and Artificial Intelligence awaits, offering an irresistible fusion of cutting-edge disciplines. Step into a world where data transforms into knowledge, and intelligence revolutionizes industries. This B. Tech in Data Science and Artificial […]

 Saurav Anand
 Saurav Anand 28/06/2023
28/06/2023
Digital Marketer | Content Specialist & Researcher | Content Marketing @FormsADDA @Formfees- Empowering individuals to unlock the potential of their businesses through the limitless opportunities...read more

Are you ready to embark on a journey at the forefront of B.Tech in Data Science and Artificial Intelligence?

B.Tech in Data Science and Artificial Intelligence awaits, offering an irresistible fusion of cutting-edge disciplines. Step into a world where data transforms into knowledge, and intelligence revolutionizes industries. This B. Tech in Data Science and Artificial Intelligence dynamic program equips you with the skills to navigate the digital landscape, uncover hidden patterns, and create solutions that shape the future. Prepare to be captivated by the power of data and artificial intelligence as you unlock limitless possibilities in the realms of technology, business, and research. Join the ranks of visionary pioneers and become an architect of the digital age with a B.Tech in Data Science and Artificial Intelligence.

B.Tech in Data Science and Artificial Intelligence Introduction

B.Tech in Data Science and Artificial Intelligence is an undergraduate degree program that focuses on the fields of data science and artificial intelligence (AI). It is designed to equip students with the knowledge and skills necessary to tackle complex data-driven problems and develop intelligent systems.

The B.Tech in Data Science and Artificial Intelligence program typically covers a wide range of subjects, including mathematics, statistics, programming, machine learning, deep learning, data mining, natural language processing, computer vision, and big data analytics. Students learn about the fundamental concepts, theories, and algorithms related to data analysis and AI techniques.

The B.Tech in Data Science and Artificial Intelligence curriculum often includes practical hands-on projects and internships to provide students with real-world experience in applying data science and AI methodologies. Students may also have the opportunity to work with large datasets, utilize advanced tools and technologies, and develop AI models and applications.

Graduates of B.Tech in Data Science and Artificial Intelligence can pursue careers in various industries such as technology, finance, healthcare, retail, and consulting. They can work as data scientists, AI engineers, machine learning engineers, data analysts, AI researchers, or consultants, among other roles.

With the increasing demand for professionals skilled in data science and AI, this B.Tech in Data Science and Artificial Intelligence program offers a solid foundation for individuals aspiring to be at the forefront of innovation in these B.Tech in Data Science and Artificial Intelligence fields.

B.Tech in Data Science and Artificial Intelligence Highlights

HighlightsDetails
Degree NameB.Tech in Data Science and Artificial Intelligence
Duration4 years
Eligibility10+2 or equivalent examination with Physics, Chemistry, and Mathematics as core subjects
Admission ProcessEntrance exams (e.g., JEE Main, JEE Advanced, BITSAT, etc.) followed by counselling and interview
Core SubjectsData Structures, Machine Learning, Artificial Intelligence, Statistics, Algorithms, Programming
Elective SubjectsBig Data Analytics, Deep Learning, Natural Language Processing, Computer Vision, Cloud Computing
Internships and ProjectsIndustrial internships, live projects, and research opportunities to gain practical experience
Career OpportunitiesData Scientist, AI Engineer, Machine Learning Engineer, Data Analyst, Big Data Engineer, etc.
Higher Education OptionsM.Tech in Data Science and AI, MS in Data Science, Ph.D. in AI/ML, MBA in Business Analytics
Average Starting SalaryVaries based on factors such as skills, experience, and employer, but typically around ₹6-12 LPA
Top RecruitersTech companies, IT consulting firms, research organizations, startups, e-commerce companies

Is B.Tech in Data Science and Artificial Intelligence Worth it?

B. Tech in Data Science and Artificial Intelligence (AI) can be a highly rewarding and promising field of study, considering the increasing demand for professionals with expertise in these domains. Here's why pursuing a B.Tech in Data Science and AI can be worth it:

  • Industry Demand: Data Science and AI are revolutionizing various industries, including healthcare, finance, retail, and more. Organizations are actively seeking skilled professionals who can harness the power of data and AI to drive innovation, make informed decisions, and gain a competitive edge. Pursuing a B.Tech in this field can open up numerous career opportunities.
  • Job Prospects: The job market for data scientists and AI professionals is thriving. With a B.Tech in Data Science and Artificial Intelligence, you can explore a wide range of career paths, such as data analyst, machine learning engineer, AI specialist, research scientist, and more. These roles often come with attractive salaries and benefits, reflecting the high demand and value placed on these skills.
  • Future Relevance: Data Science and AI are shaping the future of technology. As automation, machine learning, and AI continue to advance, professionals with the ability to extract insights from data and develop intelligent algorithms will remain in high demand. By pursuing a B.Tech in Data Science and Artificial Intelligence in this field.
  • Interdisciplinary Skills: B.Tech in Data Science and Artificial Intelligence programs usually encompass a broad curriculum that combines mathematics, statistics, programming, machine learning, and data analysis. This interdisciplinary approach equips you with a diverse skill set, enabling you to tackle complex problems and contribute to multidisciplinary projects.
  • Personal and Professional Growth: Studying B.Tech in Data Science and Artificial Intelligence at the B.Tech in Data Science and Artificial Intelligence level provides you with a solid foundation in both theoretical concepts and practical applications. You'll have opportunities to work on real-world projects, collaborate with industry experts, and develop critical thinking, problem-solving, and communication skills. This holistic learning experience can enhance your personal and professional growth.

B.Tech in Data Science and Artificial Intelligence Admission Process

  • Application: The first step is to submit an application to the institution offering the B.Tech in Data Science and Artificial Intelligence program. You will need to provide your personal details, educational qualifications, and any other required information as specified by the institution. Applications are usually submitted online through the institution's official website.
  • Entrance Examination: Many universities or institutions conduct entrance exams for admission to their B.Tech in Data Science and Artificial Intelligence programs. Candidates may need to appear for these exams, such as JEE Main, JEE Advanced, BITSAT, or other state-level engineering entrance exams. The entrance exam scores play a crucial role in the selection process.
  • Counselling: After the entrance examination, qualified candidates are usually called for counselling sessions. The counseling process involves document verification and seat allotment based on the candidates' ranks and preferences. During counselling, candidates may have the opportunity to choose their desired specialization, including Data Science and Artificial Intelligence.
  • Merit-Based Selection: Some institutions may have a merit-based selection process, where candidates are selected based on their academic performance in relevant subjects. This could involve considering the candidate's marks in higher secondary education (10+2) or equivalent examinations.
  • Personal Interview: In certain cases, institutions may conduct personal interviews as part of the admission process. The interview provides an opportunity for the institution to assess the candidate's aptitude, communication skills, and passion for the field of Data Science and AI.
  • Seat Allotment: Once the selection process is complete, candidates are informed of their admission status and allotted seats in the B.Tech in Data Science and Artificial Intelligence program. Candidates who have been offered admission need to complete the formalities, such as paying the required fees and submitting the necessary documents, within the specified time frame to secure their seat.

B.Tech in Data Science and Artificial Intelligence Eligibility Criteria

  • Educational Qualifications: Candidates are typically required to have completed their 10+2 level of education from a recognised board or institution. This usually refers to the completion of higher secondary education or its equivalent in science stream (Physics, Chemistry, and Mathematics) with a minimum specified aggregate percentage, often around 50% or higher.
  • Entrance Exams: Many universities or institutions conduct entrance examinations for admission to their B.Tech in Data Science and Artificial Intelligence programs. Candidates may need to appear for these exams and obtain a qualifying score to be eligible for admission. Some popular entrance exams in India include JEE Main, JEE Advanced, BITSAT, and state-level engineering entrance exams.
  • Age Limit: There may be an age limit criterion for admission, which varies among institutions. Generally, candidates should be within a certain age range, usually 17 to 25 years, at the time of admission. However, age relaxations may be provided for certain categories as per government regulations.
  • Specific Subject Requirements: Some institutions may have specific subject requirements or prerequisites for admission to a B.Tech in Data Science and Artificial IntelligenceFor example, they may expect candidates to have a strong foundation in mathematics, physics, and computer science.

B.Tech in Data Science and Artificial Intelligence Entrance Exam

Entrance ExamConducting Body
Joint Entrance Examination (JEE) MainNational Testing Agency (NTA)
Joint Entrance Examination (JEE) AdvancedIndian Institutes of Technology (IIT)
BITSATBirla Institute of Technology and Science (BITS)
VITEEEVellore Institute of Technology (VIT)
SRMJEEESRM Institute of Science and Technology
KIITEEKalinga Institute of Industrial Technology (KIIT)
Manipal Entrance Test (MET)Manipal Academy of Higher Education
UPESEATUniversity of Petroleum and Energy Studies (UPES)
AMITY JEEAmity University
LPUNESTLovely Professional University (LPU)

B.Tech in Data Science and Artificial Intelligence Syllabus

First Year:

  • Mathematics - Calculus, Linear Algebra, Probability, Statistics
  • Physics
  • Chemistry
  • Computer Programming
  • Engineering Graphics
  • Basic Electrical Engineering
  • Basic Electronics Engineering
  • Communication Skills
  • Environmental Science

Second Year:

  • Data Structures and Algorithms
  • Object-Oriented Programming
  • Discrete Mathematics
  • Database Management Systems
  • Operating Systems
  • Computer Networks
  • Probability and Statistics for Data Science
  • Digital Electronics
  • Principles of Artificial Intelligence
  • Software Engineering
  • Data Visualisation

Third Year:

  • Machine Learning
  • Data Mining
  • Natural Language Processing
  • Deep Learning
  • Big Data Analytics
  • Cloud Computing
  • Distributed Systems
  • Information Retrieval
  • Data Warehousing
  • Reinforcement Learning
  • Image and Video Processing
  • Optimisation Techniques
  • Ethics and Privacy in Data Science

Fourth Year:

  • Advanced Machine Learning
  • Neural Networks
  • Internet of Things (IoT) and Sensor Networks
  • Robotics and Automation
  • Predictive Analytics
  • Advanced Topics in Data Science and AI
  • Capstone Project
  • Elective Courses (Specialisations may include areas like Computer Vision, Natural Language Processing, Recommender Systems, Bioinformatics, etc.)
  • Industrial Training/Internship

B.Tech in Data Science and Artificial Intelligence Top Colleges in India

CollegeLocationFees (Approx.)
Indian Institute of Technology, Bombay (IITB)Mumbai, Maharashtra₹10-15 Lakhs per year
Indian Institute of Technology, Delhi (IITD)New Delhi, Delhi₹10-15 Lakhs per year
Indian Institute of Technology, Madras (IITM)Chennai, Tamil Nadu₹10-15 Lakhs per year
Indian Institute of Technology, Kanpur (IITK)Kanpur, Uttar Pradesh₹10-15 Lakhs per year
Indian Institute of Technology, Kharagpur (IITKGP)Kharagpur, West Bengal₹10-15 Lakhs per year
Indian Statistical Institute (ISI)Kolkata, West Bengal₹8-12 Lakhs per year
International Institute of Information Technology (IIIT), HyderabadHyderabad, Telangana₹8-12 Lakhs per year
Delhi Technological University (DTU)New Delhi, Delhi₹6-8 Lakhs per year
Birla Institute of Technology and Science (BITS), PilaniPilani, Rajasthan₹6-8 Lakhs per year
Vellore Institute of Technology (VIT)Vellore, Tamil Nadu₹6-8 Lakhs per year

B.Tech in Data Science and Artificial Intelligence Job Opportunities and Scope

A B.Tech in Data Science and Artificial Intelligence opens up a wide range of job opportunities and provides a promising scope in various industries. Here are some of the job roles and career paths you can explore:

  • Data Scientist: As a data scientist, you'll work with large datasets to extract insights, build predictive models, and develop data-driven solutions to solve complex business problems.
  • Machine Learning Engineer: Machine learning engineers focus on designing, implementing, and deploying machine learning models and algorithms to develop intelligent systems and applications.
  • AI Specialist: AI specialists specialise in artificial intelligence and work on developing algorithms, frameworks, and systems that exhibit intelligent behaviour and decision-making capabilities.
  • Data Analyst: Data analysts analyze and interpret data to identify patterns, trends, and insights that can drive business strategies, improve processes, and optimize performance.
  • Big Data Engineer: Big data engineers manage and process large volumes of structured and unstructured data, design and maintain data pipelines, and work with distributed computing systems.
  • Business Intelligence Analyst: Business intelligence analysts transform complex data into meaningful visualisations and reports that help organisations make informed decisions and gain competitive advantages.
  • Research Scientist: Research scientists focus on advancing the field of data science and AI through research and innovation. They explore new algorithms, methodologies, and techniques to push the boundaries of knowledge in these domains.
  • AI Ethics Consultant: With the growing importance of ethical considerations in AI, there is a demand for professionals who can provide guidance and ensure responsible and unbiased use of AI technologies.
  • Data Engineer: Data engineers design and build data infrastructure, data pipelines, and data storage systems to enable efficient and reliable data processing and analysis.
  • Data Consultant: Data consultants work with organisations to identify their data needs, develop data strategies, and provide recommendations on data management, analytics, and AI adoption.

The scope for professionals with a B.Tech in Data Science and Artificial Intelligence is vast and extends across industries such as finance, healthcare, retail, e-commerce, manufacturing, technology, and more. With the increasing adoption of data-driven decision-making and the rapid advancements in AI technologies, the demand for skilled professionals in this field is expected to continue growing in the coming years. It offers opportunities to work on cutting-edge projects, drive innovation, and contribute to solving real-world challenges.

B.Tech in Data Science and Artificial Intelligence Conclusion

In conclusion, pursuing a B.Tech in Data Science and Artificial Intelligence can be a wise choice considering the growing demand for professionals with expertise in these fields. With the increasing reliance on data-driven decision-making and the rapid advancements in AI technologies, the job opportunities and scope for individuals with a B.Tech in Data Science and Artificial Intelligence are extensive.

Furthermore, the interdisciplinary nature of the B.Tech in Data Science and Artificial Intelligence program equips students with a diverse skill set encompassing mathematics, statistics, programming, machine learning, and data analysis. This broad knowledge base enables graduates to contribute to multidisciplinary projects and collaborate effectively with professionals from different domains.

Frequently Asked Questions about B.Tech in Data Science and Artificial Intelligence

Q1: What is B.Tech in Data Science and Artificial Intelligence?

Ans: B.Tech in Data Science and Artificial Intelligence is an undergraduate engineering program that focuses on providing students with a comprehensive understanding of data science, machine learning, artificial intelligence, and related technologies. It equips students with the necessary skills to analyze, interpret, and apply data-driven insights to solve complex problems.

Q2: What are the prerequisites for pursuing a B.Tech in Data Science and Artificial Intelligence?

Ans: The prerequisites for B.Tech in Data Science and Artificial Intelligence typically include completing higher secondary education (10+2) with a science stream, including subjects like Physics, Chemistry, and Mathematics. Some institutions may require candidates to appear for entrance exams like JEE Main, JEE Advanced, or other state-level engineering entrance exams.

Q3: What job opportunities are available after completing a B.Tech in Data Science and Artificial Intelligence?

Ans: Graduates of B.Tech in Data Science and Artificial Intelligence can pursue various career paths, including data scientist, machine learning engineer, AI specialist, data analyst, big data engineer, research scientist, business intelligence analyst, and more. These roles exist in industries such as finance, healthcare, technology, retail, and many others.

Q4: Is a B.Tech in Data Science and Artificial Intelligence better than a regular B.Tech in Computer Science?

Ans: B.Tech in Data Science and Artificial Intelligence and B.Tech in Computer Science are different specialisations with their own focus areas. While both are valuable, B.Tech in Data Science and AI specifically emphasises data analysis, machine learning, and artificial intelligence, preparing students for roles in those domains. B.Tech in Computer Science offers a broader scope covering various aspects of computer systems and software development.

Q5: Can I pursue higher studies after completing B.Tech in Data Science and Artificial Intelligence?

Ans: Yes, after completing B.Tech in Data Science and Artificial Intelligence, you can pursue higher studies like M.Tech in Data Science and AI, MS in Data Science, or other related master's programs. These higher studies can further enhance your knowledge and expertise in the field and open up advanced career opportunities.

Q6: Is coding knowledge required for B.Tech in Data Science and Artificial Intelligence?

Ans: Yes, coding knowledge is essential for B.Tech in Data Science and Artificial Intelligence. Programming skills in languages like Python, R, and Java are commonly used for data analysis, machine learning, and AI applications. The curriculum of the program typically includes programming courses to build a strong foundation in coding.

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