What is the salary difference between roles in software development and data science?

What is the salary difference between roles in software development and data science?

For M.Tech graduates in Computer Science (CSE), the salary difference between roles in software development and data science can be notable due to varying demand and specialization. Here’s a comparison:

1. Base Salaries:

  • Software Development: Entry-level roles typically offer an average salary of $70,000 to $90,000 annually. With experience, this can grow to $120,000–$150,000.
  • Data Science: Entry-level data scientists often start higher, around $80,000 to $110,000, with experienced professionals earning $130,000–$180,000 or more.

2. Industry Demand:

  • Data Science: High demand for data analysis and AI skills often leads to higher starting pay and quicker salary growth.
  • Software Development: Still highly in demand, though there is more competition, which can moderate salary growth compared to data science.

3. Specialized Skills:

  • Data Science: Advanced skills in machine learning, AI, and big data analytics can command premium salaries.
  • Software Development: Specialized developers in fields like system architecture or cybersecurity can also earn high salaries, but generalist developers may earn comparatively less.

4. Career Progression:

  • Data Science: Potential for roles like Data Scientist Lead, Chief Data Officer, often with higher pay scales.
  • Software Development: Senior Software Engineer or Engineering Manager roles can be lucrative, though slightly less than specialized data roles.

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