Programme Overview
B.Tech CST (Big Data) – Financial Data Engineering & Analytics is a future-ready engineering programme that combines the foundations of Computer Science and Technology, Big Data, Data Engineering, Analytics, and Financial Intelligence to prepare students for the rapidly evolving data-driven financial ecosystem. The programme integrates programming, databases, statistics, data management, distributed computing, cloud technologies, Big Data analytics, and financial data processing to develop scalable and intelligent data solutions.
The curriculum progresses from core concepts such as Python, C, Data Structures, Object-Oriented Programming, Database Management Systems, Computer Networks, Operating Systems, and Algorithms to specialized areas including Big Data Technologies, Distributed Data Processing, Data Warehousing, Data Engineering, Cloud Computing, Machine Learning, Data Visualization, and Advanced Analytics.
The programme focuses on applying data engineering and analytics techniques to banking, FinTech, investment, insurance, digital payments, risk management, and financial decision-making. Students develop the ability to collect, process, integrate, analyse, and visualize large and complex financial datasets to generate meaningful insights and support data-driven business decisions.
The programme emphasizes hands-on and industry-oriented learning through practical laboratories, real-world datasets, internships, data projects, analytics challenges, and an integrated capstone project. Students gain practical experience in building data pipelines, processing large-scale datasets, developing analytical models, implementing scalable data architectures, and creating financial analytics solutions.
With dedicated components for industry readiness, aptitude, employability, project-based learning, and practical exposure, the programme prepares graduates for careers in Data Engineering, Big Data Analytics, Financial Data Analytics, FinTech, Business Intelligence, Data Science, Risk Analytics, Data Architecture, and Financial Technology. The programme also provides a strong foundation for higher studies, research, professional certifications, and entrepreneurship in Big Data and financial analytics.
