Career Roles that You Can Opt for After Data Science

Posted by MUIT NOIDA on November 14th, 2019

Technical courses have always been popular among students. No doubt, it is something difficult to study, but at the same time the aspects of such courses are equally interesting. And one such course that has been doing the rounds in the education industry is data science. The scope of this course is vast and offers good career growth opportunities. One can opt for a graduation course in computer science with data science as a subject or directly opt for a diploma or graduation in data science. Adding to this, students can also choose to pursue a master’s degree in data science after their graduation in a similar field. You can choose from the best universities for MS in Data Science to pursue the course.

Career Scope of Pursuing Data Science

A course in data science offers a plethora of opportunities as far as career scope and growth is concerned. Following are the roles that you can opt for if you are planning on pursuing a course on data science –

  1.  Business Intelligence Developer: Professionals in this role are generally called BI Developers. Here, you are required to come up with different strategies that can help business users access the information that they want easily. This role is said to be a highly tech-savvy one, where BI developers use BI tools or design a customised BI analytical application to help the end-user under the system.
  2.  Application Architect: In this role, you will be in charge of tracking and keeping a record of how the business applications behave and interact with users in multiple platforms.
  3.  Data Architect: As a Data Architect you will have to make sure that all the data solutions and design analytics applications that are built perform efficiently and are compatible across various platforms.
  4.  Data Scientist: This is one of the most popular career options that professionals can opt for after pursuing their data science course. As a data scientist, you will be cleaning and organizing data for businesses. You will be in charge of analysing a large amount of complex, raw, and processed information to find patterns to help businesses create strategic decisions.
  5.  Data Analyst: Here, you have to analyse and manipulate data to meet the required analysis that will best suit the businesses. This role will also include keeping a track of web analytics and A/B testing.
  6.  Data Engineer: As a data engineer, you will be performing batch processing and real-time processing on both stored and gathered information which will in turn help data scientists to read the data easily.
  7.  Infrastructure Architecture: Here, you have to keep a check that all business systems are working under optimal conditions that will support the development of any new technology that is required for the businesses to run smoothly.
  8.  Machine Learning Scientist: This is considered to be an interesting designation as here you will be in charge of researching new data approaches and algorithms that will help businesses grow.

People who are already working can also pursue a course in data science. Some universities offer special certification courses for professionals who are looking forward to growing their careers in the field of data science. All you have to do is devote some time in researching these universities to select the best out of the lot.

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MUIT NOIDA

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MUIT NOIDA
Joined: April 8th, 2019
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