Computer Science and Engineering with specialization in Big Data Analytics Vellore Institute of Technology (VIT)

Overview

Vellore Institute of Technology (VIT) is renowned for its commitment to academic excellence and innovation in education. The M.Tech in Computer Science and Engineering with a specialisation in Big Data Analytics is a testament to VIT's dedication to preparing students for the demands of the modern workforce. This programme, initiated in 2016, focuses on the growing field of big data, which is critical for organisations looking to leverage vast amounts of information for strategic decision-making. The curriculum is meticulously crafted to provide students with a robust foundation in both theoretical concepts and practical applications, ensuring they are well-equipped to handle the complexities of big data.

VIT is consistently ranked among the top engineering institutes in India, known for its state-of-the-art infrastructure and advanced research facilities. The university has established strong partnerships with various industries, providing students with valuable opportunities for internships and placements. The programme is designed to foster a deep understanding of big data technologies and their applications, preparing graduates to excel in this high-demand field. Additionally, VIT’s commitment to research and innovation ensures that students are exposed to the latest advancements in technology, making them highly competitive in the job market.

The tuition fees for the M.Tech programme are as follows:

• International Students: USD 6,450 per full academic year
• Domestic Students: USD 2,223 per full academic year

Visit the Fees and Funding section for a breakdown in your local currency.

The curriculum for the M.Tech in Computer Science and Engineering with a specialisation in Big Data Analytics includes a mix of core and elective courses. Key modules include:

• Algorithms: Design and Implementation
• Database Systems: Design and Implementation
• Big Data Frameworks
• Machine Learning
• Exploratory Data Analysis
• Information Visualization
• Cloud Computing Fundamentals
• Data Engineering
• Deep Learning
• Text, Web, and Social Media Analytics
• Blockchain Technology

This comprehensive syllabus ensures that students gain a thorough understanding of the principles and practices essential for success in the field of big data.

Graduates of the M.Tech programme are well-prepared for a variety of roles in the industry. They can pursue careers as Big Data Engineers, Data Analysts, Big Data Architects, and Business Intelligence Analysts, among others. The skills acquired throughout the programme enable them to work in diverse sectors, including finance, healthcare, and technology. Many alumni have successfully secured positions with leading companies, showcasing the programme's effectiveness in preparing students for the competitive job market.