Honours in Data Engineering | Honours in Data Engineering

Honours in Data Engineering

Artificial Intelligence & Data Science | B.Tech (AI & DS)

The Data Engineering Course program also encourages students to engage in research projects and practical exercises that simulate real-world scenarios, providing them with valuable experience and a competitive edge in the job market. Furthermore, the program offers opportunities for students to network with industry professionals and participate in internships, providing them with a better understanding of the practical challenges and opportunities in the field. Overall, the Data Engineering Honours program is a comprehensive and rigorous program that prepares students for successful careers in data engineering and related fields.

The Data Engineering Honours program is designed to equip students with the necessary skills and knowledge to design, develop, and manage large-scale data systems that can process and analyze vast amounts of data. This program aims to mold the next generation of data engineers who can build scalable, efficient, and reliable data pipelines, warehouses, and analytics platforms. Students will develop a strong foundation in data engineering fundamentals, including data modeling, data warehousing, data processing, data analytics, and data visualization. Through a well-structured curriculum that emphasizes hands-on learning, students will enhance their analytical and problem-solving skills to manage the complex data landscape effectively.

The Data Engineering Course offered by the Department of Information Technology provides students with a comprehensive education that combines theoretical knowledge with practical experience. Students will learn about the latest technologies and tools used in the industry, including distributed computing frameworks, big data platforms, and machine learning algorithms. The program offers a range of courses, including Data Management, Data Processing, Data Analytics, Data Visualization, and Big Data Analytics. As students progress through the program, they will acquire a diverse set of knowledge, skills, abilities, and dispositions essential for success as a data engineer in various public or private sector contexts. The Data Engineering Honours program emphasizes the importance of staying up-to-date with the latest trends and developments in the field. Students will be exposed to emerging technologies and innovative approaches to data engineering, allowing them to adapt to the changing data landscape.

Objectives

The offered programme aims to impart the following skills:

  • Develop proficiency in text analytics techniques for extracting insights from unstructured data, enhancing data processing and analysis skills.
  • Offers expertise in web analytics, web intelligence, and web scraping methods to gather and interpret data from online sources effectively.
  • Imparts knowledge in utilizing APIs for data retrieval and integration, enhancing data engineering capabilities in real-world applications.
  • Apply transformer models to advanced NLP for in-depth text analysis and understanding of language patterns.

Learning Outcomes

At the successful completion of this programme, an Engineering Graduate will be able to:

  • Comprehend statistical and computational tools for data analysis and communicate results effectively.
  • Understand the importance of proper data management, reproducibility, and ethical considerations.
  • Apply analytic algorithms to datasets, develop machine learning models, and execute experimental data collection and processing.
  • Design and customize analytics and systems to meet specific data engineering requirements and evaluate tradeoffs

Eligibility Criteria

Students who have passed First Year of Artificial Intelligence & Data Science

Assessment Method

Tests, Mini projects, Laboratory, Presentation/ Video making, Quiz, study of research papers etc

List of Courses

  • Introduction To Text Analytics
  • Introduction To Text Analytics Laboratory
  • Web analytics and web intelligence
  • Web analytics and web intelligence Laboratory
  • Web scraping and API’s
  • Web scraping and API’s Laboratory
  • Mini Project
  • Introduction to Transformer Models
  • Introduction to Transformer Models Laboratory
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