How to Become a Data Scientist in India?

Career Options

How to Become a Data Scientist in India?- To become a Data Scientist, you have to pursue a Data Science course offered by different top universities and certification institutes. Candidates can apply for a Data Science course under multiple specializations like Machine Learning, Artificial Intelligence, Python, and Data Analytics. The duration of Data Science courses is between 2 months to 3 years. You can pursue a Data Science course online with Simplilearn, Coursera and Udemy.

To become eligible for a Data Science Course, candidates must have a Bachelor’s degree in Engineering or Science stream with a basic knowledge of Mathematics and Science. Undergraduate aspirants must have a minimum of 50% aggregate marks with Maths, Statistics or Computer Science as the key subjects to pursue a Postgraduate Data Science program. There is no entrance test required to get admission to the Data Science program.

How to Become a Data Scientist in India?- Highlights

Particulars Data Science Details
Course Name Data Science
Duration of the Course 2 months to 3 years
Course Type Certification, Diploma, Undergraduate and Postgraduate
Eligibility Criteria for Data Science Course
  • Candidates must pass Class 12 in Maths, Statistics and Science with an aggregate of 50% to 60% marks.
  • Candidates must have a Bachelor’s Degree in Engineering or Science Stream with 50% to 70% aggregate marks.
Admission Process for Data Science Course Merit-Based and Entrance-Based
Top Colleges or Institutes Coursera, Simplilearn, Udemy, IISER Bhopal, VIT Vellore, Navrachna University Vadodara, SSPU Pune
Course Fees INR 1,10,000 to INR 6,50,000
Job Profiles Data Scientist, Statistician, Actuarial Scientist, Mathematician, Software Developer Analyst, Application Architect, Business Intelligence Developer, etc.
Data Science Professional Salary INR 4,00,000 to INR 10,00,000 per annum

 

Eligibility Required for Data Scientist

Data Science eligibility criteria differs by course standard.

Undergraduate Level

  • Candidates must pass Class 12 with a minimum of 50% to 60% marks in Maths, Statistics or Science Stream.
  • Aspirants must be at least 17 years old and must pass entrance tests.

Postgraduate Level

  • Aspirants must have a Bachelor’s degree in Engineering or Science streams with 50% to 70% marks from a recognized University.
  • They have to obtain a good score in entrance tests such as GRE or GATE and may require a good knowledge of Statistics or Mathematics.

Data Science Admission Procedure

The Data Science admission procedure usually needs different methods. 

  • Aspirants have to complete the Class 12 or A Bachelor’s degree with 50% to 70% aggregate marks and basic knowledge of Maths, Statistics and Science subjects.
  • Most Institutes need candidates to obtain a good score in entrance tests like GRE or GATE to take admission in Data Science.
  • For PG courses, a relevant Bachelor’s degree is significant along with a well-structured Statement of Purpose depicting professional and academic knowledge. 
  • Plus, a few courses may need special course or program in Quantitative subjects such as Statistics and Calculus.

Data Science Syllabus

The syllabus for Data Science can be divided into 4 key subjects.

  • Programming Languages – Python & R
  • Mathematics, Machine Learning and Statistics
  • Natural Language Processing
  • Big Data Analytics
Data Science Subjects Data Science Sub-Topics
Python & R (Programming Languages)
  • Data Handling
  • Data Manipulation
  • Data Visualization
  • Data Wrangling
Machine Learning, Mathematics, and Statistics
  • Data Modeling
  • Statistical Analysis
  • Statistical Concepts
Natural Language Processing
  • Text Classification
  • Handling Unstructured Data
Big Data Analytics
  • Relationship Database Management
  • Cloud Computing
  • Big Data Ecosystem
  • PySpark
  • NoSQL Data Base
  • Hadoop
  • Spark

Key Data Science Skills

Data Scientists must have a few technical as well as non-technical Data Science skills given in the table below.

Technical Skills Non-Technical Skills
  • Statistical Analysis
  • Mathematics
  • Programming
  • Deep Learning
  • Machine Learning
  • Data Wrangling and Visualization
  • Big Data
  • Knowledge of Tools – Hadoop, SAS, Spark
  • Strong Business Handling Capability
  • Strong Communication Skills
  • Data Intuition

Data Science Salary and Job Profiles

The top job profiles in Data Science are Machine Learning Engineers, Data Scientists, Data Engineers, Statisticians, etc. The complete details of job profiles along with salary of Data Science professionals are given in the table below.

Job Profile Average Annual Salary
Data Scientist INR 700000 to INR 800000 lakhs per annum
Statistician INR 534000 lakhs per annum
Actuarial Scientist INR 1000000 lakhs per annum
Software Developer Analyst INR 575000 lakhs per annum
Application Architect INR 40000 to 600000 lakhs per annum
Business Intelligence Developer INR 450000 to INR 650000 lakhs per annum
Machine Learning Engineer INR 500000 to 11000000 lakhs per annum
Data Architect INR 700000 to 1000000 lakhs per annum
Clinical Data Scientist INR 300000 to 600000 lakhs per annum
Machine Learning Scientists INR 600000 lakhs per annum
Data Engineer INR 800000 lakhs per annum

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