By 2025, it is estimated that the global data science market will reach a value of $274.3 billion, indicating the growing demand for the best university for computer science in Haryana. According to the U.S. Bureau of Labor Statistics, the employment of data scientists is projected to grow by 31% from 2020 to 2030, much faster than the average for all occupations.
Big data and data science are the same. While Data Science is a more extensive collection, big data in data science is a subset. These two fields both work with data. One needs a data scientist to manage massive, typically unstructured data. Big Data has emerged as a valuable business resource, fueling an economy driven by innovative insights. Unlike traditional assets that diminish over time, data is self-sustaining and offers immense power. Hence, we see students fondly doing courses at the best university for computer science in Haryana.
By strategically applying analytics, businesses can minimise information complexity and leverage the unique characteristics of Big Data. This includes analysing diverse data sources such as social media, sensors, and online platforms to understand production, customer behaviour, preferences, and market demands. Big Data encompasses three key characteristics: Volume, Velocity, and Variety, representing the vast amount, speed of generation and processing, and diverse data formats, respectively.
Importance of Big Data
The actual value of Big Data lies in its ability to reveal previously hidden insights and patterns. By employing advanced analytics, organisations can extract meaningful information from this vast resource, enabling them to make informed decisions, identify market trends, optimise operations, and drive overall performance improvement. For the same reason, it’s been part of the regular course at the best university for computer science in Haryana.
The impact of harnessing Big Data is significant, setting apart organisations that embrace its potential from those that do not. Companies that leverage Big Data gain a competitive edge by deeply understanding customer behaviour, preferences, and needs. This understanding empowers them to tailor products and services more effectively, precisely meeting customer demands. Moreover, organisations can enhance operational efficiency, reduce costs, and identify new revenue streams through data-driven strategies, giving them a substantial advantage over their competitors.
Investing in learning Big Data applications from the best university for computer science in Haryana may require a significant upfront cost. Still, it offers organisations a world of possibilities and a competitive advantage.
Let’s see the benefits of Big Data:
BFSI Sector:
The BFSI sector, with an estimated 18% market share, has embraced Big Data to improve customer experience, reduce costs, and make informed decisions. Predictive analytics and fraud detection benefit from the vast amount of data generated by digital transactions.
Telecom and IT:
With a 14% market share in Big Data analytics, the telecom and IT industries strive to provide more efficient solutions to customers. Network optimisation, experience management, and marketing analytics use customer data to understand behaviour and preferences. Hence, various universities have many students preferring to do courses at the best university for computer science in Haryana.
Retail and Consumer Goods:
Retailers leverage Big Data to gain a competitive edge by analysing purchase patterns, optimising inventory management, and making data-driven decisions. This industry relies on data for improved profitability and reduced waste.
Government and Defence:
World governments employ Big Data for intelligence analysis, risk assessment, and decision support. Data from multiple sources, including social media and satellite images, aids in understanding threats and challenges. Candidates preferring government jobs are thus choosing the best university for computer science in Haryana for further career growth.
Media and Entertainment:
The media and entertainment industries now rely on Big Data analytics to understand audiences better and create appealing content. Data-driven operations have replaced intuition and guesswork.
Manufacturing:
In the Industry 4.0 era, the manufacturing sector implements Big Data analytics for predictive maintenance, supply chain optimisation, and process enhancement. Analysing machine performance, energy usage, and quality control data drive improvements. Hence, manufacturing industries in India and abroad are eagerly taking candidates from the best university for computer science in Haryana
Healthcare and Life Sciences:
Big Data analytics is crucial in identifying high-risk patients, predicting disease outbreaks, and revolutionising medical research. Healthcare industries generate vast amounts of data daily to improve patient outcomes and reduce costs.
Transport and Logistics:
The transport and logistics sectors leverage Big Data to streamline operations. Companies optimise schedules, reduce costs, and enhance delivery speeds by analysing data from shipping routes and delivery times.
Real Estate:
Real estate companies utilising Big Data analytics make more informed decisions, leading to higher closing rates and a competitive edge. The global Big Data analytics market in real estate is projected to reach $1.5 billion by the end of the year.
Energy and Utilities:
Energy and utility providers use Big Data analytics to predict consumption patterns, identify inefficiencies, and forecast future demand. These insights contribute to a more sustainable future.
Travel and Tourism:
The travel industry uses Big Data to predict customer preferences and anticipate needs. Airlines can forecast flight delays, and hotels can cater to room preferences. The Big Data analytics market in travel is expected to reach $10.7 billion by 2023. So many young enthusiasts now prefer to build careers in the highest-paying jobs in the computer science field.
Data Science at SRMUH
SRM University Delhi-NCR, Sonepat, presents an exceptional opportunity for aspiring engineers with its B.Tech. programme in Computer Science and Engineering. This programme specialises in Data Science and Artificial Intelligence in association with IBM, a global leader in technology and innovation.
Over four years, students will delve into the fascinating realms of data science and artificial intelligence, gaining comprehensive knowledge and hands-on experience in cutting-edge technologies. The curriculum is designed to equip students with the skills and expertise needed to excel in the rapidly evolving fields of data analysis, machine learning, and AI-driven applications.
Through this collaboration with IBM, students will have access to industry-relevant resources, tools, and platforms, enhancing their learning experience and providing a competitive edge in the job market. The programme also includes internships, industry projects, and expert guest lectures, ensuring practical exposure and real-world application of concepts to get the highest-paying jobs in the computer science field.
With a nominal fee of INR 2,50,000 for the entire duration, SRM University Delhi-NCR offers an affordable yet prestigious opportunity to pursue a B.Tech. degree in Computer Science and Engineering with a specialisation in Data Science and Artificial Intelligence. Embark on a transformative journey towards a successful career in the exciting world of technology and innovation.