What can you do with a BTech in Data Science?

2 mins readUpdated on Apr 14, 2022 19:28 IST
Data Science is the study of extracting meaningful insights from data by combining domain expertise, programming skills, and knowledge of mathematics and statistics. Machine Learning models process data in the form of text, images, videos, and other highly unstructured formats. Data Science allows us to convert data into the numerical equivalent of it. And with the data in a numerical format, the possibilities to access, preserve and understand the data increases to a great extent.

Data Science is the study of extracting meaningful insights from data by combining domain expertise, programming skills, and knowledge of mathematics and statistics. Machine Learning models process data in the form of text, images, videos, and other highly unstructured formats. Data Science allows us to convert data into the numerical equivalent of it. And with the data in a numerical format, the possibilities to access, preserve and understand the data increases to a great extent.

A data scientist's responsibilities include: 

  • Developing data analysis strategies 
  • Preparing data for analysis 
  • Exploring, analysing, and visualising data 
  • Creating models with data using programming languages such as Python and R
  • Deploying data models into applications

It is expected that the total amount of data being consumed globally will grow to over 180 zettabytes by 2025. Students wanting to pursue a career in this field can, therefore, expect a bright future ahead.

What can one do with a BTech in Data Science?

Data Science is becoming increasingly important to businesses around the world. Regardless of the type of industry or the size of it, organisations are using Data Science to stay relevant in this competitive world. Without developing necessary resources and implementing Data Science, chances are high that an organisation will risk falling behind. 

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Data Science relies on large amounts of sourcing (or extracting) high-quality data. When that volume is large, it is referred to as Big Data. The Big Data, Analytics, and Application Database Solutions are expected to grow from $6.4 billion in 2017 to $12 billion by 2027. It is clearly a lucrative career opportunity.

A degree in BTech in Data Science ensures a promising future through career options such as Data Scientist, Data Analyst, Data Architect, and Data Engineer.

Why study BTech in Data Science at UPES?

Data Science is a combination of skills, technologies, and practices involved in the continuous iterative exploration and investigation of business performance. It drives decision-making through statistical analysis, which includes explanatory and predictive modelling as well as fact-based management. 

The four-year program of BTech in Data Science at UPES is offered in collaboration with IBM. Students who enrol in this program learn how businesses use advanced analytics to obtain a rich and consolidated view of their customers, allowing them to determine the next best action for optimising customer interaction. With a degree in B.Tech. in Data Science at UPES, students will get to learn:

  • Statistical Techniques/Predictive and Descriptive Analytics
  • R Programming Language/SPSS/Python
  • Cognos/Infosphere/Weka
  • Hadoop/Map Reduce
  • Concepts of Data Mining and Data Warehousing
  • Mobile Analytics
  • Operation Research/IBM ILOG CPLEX
  • Content Analytics/Social/Sentiment Analytics

Eligibility to study BTech in Data Science at UPES

To study BTech in Data Science at UPES, students must fulfil the following eligibility criteria:

  • Minimum 50% marks in Class 10 and 12 
  • Minimum 50% marks in PCM (Physics/Chemistry and Mathematics) in Class 12

 

Note: The views expressed in this article are that of UPES and do not reflect/represent those of Shiksha

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