Scope of Data Scientists in India

4 mn read

Big Data is a fuel that runs businesses and initiates smooth lives for users relying on it for daily activities.

From a multinational company to a startup, the need for a qualified Data Scientist is striking globally.

But, how big is this big data that we talk about?

According to Forbes, in every minute for the year 2019, 45,00,000 users watch videos on youtube, 18,80,00,000 emails are sent, 3,90,030 apps are downloaded and 1,81,00,000 messages are exchanged!

Overwhelmed? IDC predicts that by 2025, the total amount of digital data created globally will rise to 163 Zettabytes.

The ballooning of the data is due to the significant increase in the population of people signing up on the internet. 

It highlights the necessity to refine and analyse the data, creating a need for qualified Data Scientists. 

The data science industry is full of booming opportunities offering a bright scope to future Data Scientists in India. 

Unravel all the questions regarding the industry’s required qualification and scope by reading the blog.

Data Scientist Qualifications:

Here is a list of some of the top courses at different levels:

Undergraduate Courses:

Courses

  • Bachelor of Data Science

  • Bachelor of Technology (B.Tech) in Data Science 

  • Bachelor of Science (B.Sc) in Data Science

  • Bachelor in Computer Application (BCA) in Data Science

Duration 

3 to 4 Years

Admission Process

Merit/ Entrance Exam Based (JEE Main/ COMEDK/ VITEEE/ BITSAT)

Post Graduate Courses:

Courses

  • Master of Technology (M.Tech) in Data Science

  • Master of Science (M.Sc) in Data Science

  • Master of Computer Application (MCA) in Data Science

  • Master of Business Administration (MBA) in Data Science and Analytics 

Duration 

2 Years

Admission Process

Entrance Exam (GATE/ CUCET/ IIT JAM/ IPU CET/ CAT) & Personal Interview Based

 

PG Diploma Courses:

Courses

  • PG Diploma in Data Science

  • PG Diploma in Data Science And Analytics

  • PG Diploma in Data Science and AI

Duration 

1 to 2 Years

Admission Process

Merit Based

 

Students can also pursue short-term certification courses like:

  • HarvardX’s Data Science Professional Certificate (By edX)

  • Business Analytics and Data Science (IMS Proschool Pvt Ltd), etc.

Doctoral Courses in Data Science are also available for further studies and research.

Data Scientist Eligibility:

The Data Scientist eligibility for the courses are as follows:

Undergraduate Courses

  • Candidates must complete 10+2 from a recognized board with Physics, Chemistry, and Mathematics as core subjects.

  • Applicants should secure a minimum aggregate score of 50% in their higher secondary education.

  • They must qualify in the respective entrance exam for admissions.

Postgraduate Courses

  • Candidates must graduate with an undergraduate degree from a concerned discipline.         

  • Applicants should secure a minimum aggregate score of 55% in their bachelor’s course.        

  • They must qualify in the relevant entrance exam.      

PG Diploma Courses

  • Candidates must have a Bachelor’s degree in Engineering/ Science/ Computer Applications/ Business Administration or a Master’s degree in Commerce/ Statistics/ Mathematics.

  • Aspirants must have secured a minimum aggregate score of 50% in their qualifying degree. 

  • They should have mandatory work experience in the industry. 

 

Data Scientist Skills Required:

Some of the top requisite data scientist skills required are:

  • Candidates must possess expertise in programming languages like R Programming, Python, SQL Database, Hadoop, and others. 

  • They must have a strong base for mathematics, statistics, and its concepts like Algebra, Calculus, Skewness, Percentiles, Probability, etc.

  • Students must know how to wrangle the data by processing the raw data for examining it.

  • Cloud Computing is another essential skill that enhances the Data Science scope in future.

  • Applicants must have an understanding of Deep Learning and Machine Learning techniques.

  • They must also have knowledge of data visualization tools like D3, Tableau, etc.

Scope of Data Scientists in India:

The data science scope in future is bright and varied. Here are the top 5 reasons that highlight the same:

  • Numerous Job Opportunities: 

Several top sectors like healthcare, hospitality, transportation, insurance, education, and e-commerce hire data science professionals. Students have numerous options to choose their work domain.

  • Increase in Demand:

Experts predict that the demand for data scientists will soar by 28% in the following years. It is one of the fast-growing and high-demand jobs globally.

  • High Salary: 

The approximate annual salary of a data scientist is between the range of INR 5 to 12 Lakhs. The pay scale enhances with the increase in experience, knowledge, skill and several other factors.

  • Sustainability:

The jobs for Data Scientists continued to spike, even when the global economy faced a lash down. There is a dire need to refine and utilize the existing and upcoming data. Hence, the job offers extensive sustainability.

  • Boundless Learning: 

A Data Scientist job offers immense growth in terms of learning. Candidates enhance several technical and personal skills in the field of data science. 

Top Recruiters:

Some of the top recruiters that are hiring Data Scientists are:

  • Oracle

  • Wipro

  • Accenture

  • JP Morgan Chase and Co.

  • IBM 

  • Impetus

  • McKinsey and Co.

Top Data Science Colleges in India:

Following are the top 7 Colleges in India that offer Data Science courses: 

Conclusion:

The characteristics of Big Data is denoted by the 5Vs- Volume, Value, Variety, Veracity and Velocity of the data.

The data collected from several places is documented, analysed and tracked to stimulate the growth of the business.

Students must obtain the Data Scientist qualifications to seek a prosperous career in a “field of the future.”

Enroll in one of the top colleges in India to pursue a job of the 21st century.

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