Masters in Data Science

Learn All you need to know about MS / M Eng. in Data Science. See top colleges, jobs, part-time jobs, specialisations, fees, admissions & more

A greater number of organizations require expert Data Scientists with each passing day. The main roles of Data Science graduates are:

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Data Scientist

Data Scientists have a number of responsibilities towards her or his organization. They usually begin by identifying the problems associated with the analysis of data. Thereafter, they go on to demarcate the data-sets and associated variables that can be most useful for their organization. Developing a method for the continuous collection of structured and unstructured data is another part of their job. They also need to ensure that the data is accurate, comprehensive and uniform for the tasks at hand. Designing models and algorithms for the storage, maintenance and analysis of data is also one of their chief responsibilities. Finally, they have to figure out the patterns and trends in the data that can be used for predictions before they can be used for building solutions.

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Data Analyst

The role of Data Scientist is more technical and mathematics oriented while that of a Data Analyst is more business oriented. Unlike Data Scientists, who work to build computer based processes that work with data, data analysts develop performance indicators, create visualizations of data for easier understanding, and use their business intelligence to make the most out of data by working with data analysis tools such as SQL, SAS, Google Analytics, and Tableau etc. Data Analysts can be said to be the bridge between the technical aspect of data science and its business aspect. Their job involves in-depth analysis of data so that it fits the goals and requirements of the organization. Data Analysts identify the use of data, whether it is required for market research, operations research, logistics and minimizing the costs, etc. They conduct various types of diagnosis that can be descriptive, diagnostic, predictive or prescriptive. 

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Data Engineer

Data Engineers are concerned with the infrastructure that enables the tasks of the entire team working with data. Their role involves the building and maintenance of data architecture. Their central responsibility is extraction, transformation and loading (ETL) of data. They have to work in tandem with data analysts and data scientists and ensure that their work is made easier. Data Engineer’s job is foremost and fundamental to the predictive use of data so that the workflows of the entire project can be  managed. Command over big data tools and programming in Java, SQL and Scala is a great advantage for this role besides an in-depth knowledge of data structures and algorithms. 

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Machine Learning Engineer

Machine Learning Engineers are typically programmers that have command over AI. Their job is to create algorithms and programs so that computers can respond to and perform specific tasks on their own. Their main focus is on automating as many processes as possible so that human effort can be used for tasks that require deeper analysis and predictive thinking. They can be understood as software engineers working with big data. They have to design systems that can scale increasing volumes of data. Data modeling and evaluations are their other core responsibilities. 
 

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