Artificial Intelligence vs. Data Science: Which is Better Career in 2024?

Skills Required for AI

Proficiency in Python, C++

Understanding of algorithms and neural networks

TensorFlow, PyTorch

Skills Required for Data Science

Statistics and probability

Proficiency in SQL, and R

Tableau, and Power BI

Career Prospects in AI

AI Engineer: $201,113 per annum

Machine Learning Engineer: $93,304 per annum

Robotics Engineer: $108,870 per annum

Career Prospects in Data Science

Data Scientist: $119,721 per annum

Data Analyst: $77,902 per annum

Business Intelligence Analyst: $85,201 per annum

Pros and Cons of Choosing AI

Pros: High demand, potential for high salaries, the opportunity to work on cutting-edge technology, and solve complex problems

Cons: Requires advanced technical skills, potentially more specialized compared to Data Science

Pros and Cons of Choosing Data Science

Pros: Wide range of applications, diverse career paths, good job market, transferable skills

Cons: Can be more focused on reporting and analysis than AI, may require domain-specific knowledge

Which is Better?

Both the fields yield competitive salaries, but clearly AI yields better ROI   But you need to understand the skills required for each field. And make an informed career choice for the future

Check Out the Highest Paying AI Career Choices in 2024

Discover the Best Internship Opportunities for AI Freshers