Artificial Intelligence (AI) is the branch of Computer Science that enables computer systems and machines to perform tasks by mimicking human intelligence. At present, AI as a career option is exceptionally rewarding because it is an emerging avenue. So, if you are planning to kick-start your career in this domain after completing your course, this guide is for you.

Key Highlights

• Promising career opportunities in Artificial Intelligence
  • AI Research Scientists
  • Business Intelligence Developers
  • Robotics Engineers
  • Big Data Engineers
  • Data Scientists
• Other popular AI job opportunities
• Popular universities offering master’s degree programs in AI
• Important skills to build a robust career in Artificial Intelligence

Promising career opportunities in Artificial Intelligence

• AI Research Scientists:

  These professionals experiment and develop innovative AI algorithms and models, write research papers, and share findings at conferences. To become a successful AI Research Scientist, you need to have a strong understanding of subjects like Mathematics, Statistics, etc., and a master’s or a doctoral degree in Computer Science or a related field. OpenAI, Google DeepMind, and Stanford Artificial Intelligence Laboratory (SAIL) are some of the biggest recruiters.

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• Business Intelligence Developers:

  Companies hire Business Intelligence (BI) Developers to build and maintain software solutions for accessing data. They also analyse complex data, identify business and market trends, and implement measures that increase business profitability. Industries are ready to hire aspiring BI developers at high packages if they have a master’s degree in Computer Science, Mathematics, or IT and hands-on experience in Data Mining, Data Warehousing Design, etc.

• Robotics Engineers:

  This is one of the most in-demand AI Engineering jobs. These professionals design, develop, and test robots and robotic systems (like drones). As per a recent study, the global AI robots market size is expected to reach from ∼USD 14 billion to ∼USD 82 billion in the period 2023 to 2032. To flourish in this domain, you need to gain in-depth knowledge in this field by enrolling in a master’s degree program in Computer Engineering, Mechanical or Electrical Engineering.

• Big Data Engineers:

  Big Data Engineers are responsible for developing an ecosystem for smooth communication between business verticals. Their duties also include analysing large data and making insightful inferences. So, if you want to work as a Big Data Engineer, pursuing a master’s in Mathematics or Computer Science from a recognised university can boost your career.

• Data Scientists:

  Data Science jobs involve collecting raw data, analysing it, and drawing useful inferences by using different statistical and analytical AI tools. These professionals remain in high demand in industries like Media & Entertainment, Retail, Healthcare, etc. These sectors prefer candidates with a master’s degree in Data Science, Statistics, or a related field.

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The rapid integration of AI across various industries is creating several job opportunities worldwide for talented professionals. So, leverage the ever-growing demand for AI professionals by pursuing a master’s degree in Computer Science and/or AI.

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