We are excited to inform you that NSHM School of Engineering & Technology going to start a new specialization in B.Tech in Data Science having tremendous potential to rule the World Technology. B.Tech in Data Science is taking centre stage in all areas—business and industry, public policy, the life sciences, natural sciences, humanities, and social sciences. Data science is concerned with extracting meaning from large volumes of data. It is a field that has grown rapidly in recent years as a result of the increasing availability of large data sets and the opportunities and challenges that they present. Central topics within data science include data mining, machine learning, databases, and the application of data science methods in natural sciences, life sciences, business, humanities, and social sciences, as well as in industry and society.
This course is oriented towards Data Science and related aspects. Big Data Analytics helps organization harness their data and use it to identify new opportunities. It leads to smarter business moves, more efficient operations, higher profits and more satisfied customers. Data Science examines large amounts of data to uncover hidden patterns, correlations and other insights. The discipline’s applications enable Data Scientists, Predictive Modellers, and other analytics professionals to analyse growing volumes of structured transaction data.
In data science, one deals with both structured and unstructured data. The algorithms also involve predictive analytics in them. Thus, data science is all about the present and future. That is, finding out the trends based on historical data which can be useful for present decisions and finding patterns which can be modelled and can be used for predictions to see what things may look like in the future. So, it becomes imperative for a Data Scientist to have good knowledge and understanding of these.
Data science is having a big impact on industry. For some companies, being able to handle and analyse massive data sets is central to their business model. Even for other companies, being able to extract information from data (for example, data about customers) can offer crucial competitive advantages. People with knowledge and skills in data science are therefore in high demand, in Gothenburg and internationally. Similarly, within scientific research, data-intensive scientific discovery is increasingly important in many areas, and researchers need to be able to handle and analyse massive data sets. Thus, providing training in the management and analysis of large-scale data is important in preparing you for further study and research within higher education, research institutes, and industry.
With the amount of data that is being generated and the evolution in the field of Analytics, Data Science has turned out to be a necessity for companies. To make most out of their data, companies from all domains, be it Finance, Marketing, Retail, IT or Bank. All are looking for Data Scientists. This has led to a huge demand for Data Scientists all over the globe. With the kind of salary that a company has to offer as it is a lucrative and trending job of 21st century. Here are some of the roles a Data Science professional can look forward to in major organizations.
- Data Scientist
- Data Administrator
- Big Data Analyst
- Data Engineer
- Data Architect
- Business Intelligence (BI) Developer
- Data Engineer
- Big Data Scientist
- Software Developer