USD 332.6 Billion
INR 11.5 Million
USD 95.3 Billion in
BCA Data Science is a four-year undergraduate course emphasizing the application of various scientific methodologies and techniques to extract handy data from large amounts of available data.
ICRI's BCA in Data Science specializes in Data Science and is based on Computer Science and Engineering. It is a one-of-a-kind multidisciplinary curriculum developed for students aspiring to be 'Data Scientists'.
The curriculum design and organization are informed by contemporary research on the relationship between Data Science and other areas and the need for skills to fulfill the demands of the future data-driven economy.
The curriculum focuses on using scientific methods to derive relevant insights from massive datasets. This curriculum focuses on Machine Learning, Data Visualization, Programming, Statistics, and Big Data.
ICRI offers a unique curriculum that combines computer science and engineering to concentrate on Data Science. The candidate will receive the most recent experience in generating code for data science solutions and R as a programming language.
WHAT IS METAVERSE?
PROGRAM OBJECTIVES:
Big data operations, including data scientists, analytics, big data engineers, data managers, and data architects, have great possibilities. Data science-related job duties are now among the most sought-after tech occupations in the world, as well as the third-highest compensation.
According to industry forecasts, 11 million new data science jobs are expected to be generated by 2026.
Fun fact: Amazon receives 18-20 job applications every minute, whereas Google receives 3.0 million job applications annually. To be job-ready, one must have certification and show learning skills.
There are plenty of opportunities for data science applications in India, especially in 2023 and beyond. This covers banking, cyber security, financial institutions, education and healthcare, big data companies, and even small enterprises.
There is enormous potential for data science applications in India, with the data science industry predicted to reach 16 billion dollars by 2025, and the data science jobs.
The average starting salary for data scientists as a fresher is between INR 7.0 and INR 8 Lacs per year, and some of the top industries include BFSI, Retail, Technology, and Healthcare, with firms like IBM, Amazon, Google, and Netflix hiring data scientists.
Large organisations and small businesses require people who can gather, store, secure, and properly handle corporate data.
As a data analyst, you gather, process, and analyze huge datasets to gain insights and guide business choices.
As a data scientist, you'll create prediction models, and algorithms, and analyze data using advanced statistical approaches to get insights.
Business Analysts discover issues, define needs, and use data to offer suggestions for improving business performance.
As a database administrator, you are responsible for administering and maintaining databases, guaranteeing data security, and maximizing performance.
Data engineers are in charge of developing and implementing data pipelines and infrastructure to facilitate data analysis. These individuals also create and manage pipelines, create data warehouses, and design storage solutions.
These individuals team up with data scientists to develop models that automate decision-making processes.
Many technology businesses, both startups and huge organizations, recruit data scientists for a variety of positions such as data analyst, data engineer, machine learning engineer, and so on.
Banks, insurance corporations, and investment organizations employ data science to assess risk, devise investment strategies, and establish fraud detection programs.
Retail and e-commerce enterprises employ data science to forecast customer behavior, optimize pricing, and enhance customer experience.
Marketing organizations and agencies use data science to monitor client behavior, target adverts, and personalize content.
Data analytics may help auto firms examine client behavior and anticipate future purchases. Big data may also help automakers leverage insights like prior vehicle sales, online behavior, and demographics to develop targeted marketing communications.