Explore Career Pathways in Artificial Intelligence with an MS Degree

Friday, August 23, 2024

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Discover the benefits of an online master's degree in Artificial Intelligence and the allied career pathways.


Artificial Intelligence’s (AI) potential in India is growing significantly, with studies claiming that it can add an additional 5.9%-7.2% to GDP in 2029-30. Professionals have several opportunities to leverage AI skills and create a mark for themselves in their respective industries. What was once considered a niche within the tech sector is now becoming a commonplace application across industries like healthcare, finance, retail, and more. However, there is a fine line between using an AI application and creating a strong career pathway in the industry. If you are considering a career in AI, an online master’s degree in AI can open doors to specialized roles in diverse industries. Read on to get an in-depth view of the various career pathways you can explore through professional education in AI.

Why Pursue an MS in Applied AI?

Easy access to Large Language Models (LLMs) like GPT has made it simpler for most professionals to understand the basics of AI and leverage it in their roles. However, AI goes beyond interacting with an LLM or writing code. Working in the AI field involves making intelligent systems that can learn, adapt, and make decisions that impact business decisions. Achieving this requires deep knowledge of various concepts like neural networks, computer vision, natural language processing, IoT, and more.

A well-structured learning journey can help you learn concepts in depth and apply them to mock cases before you try your hand at real-life problems. An online MS AAI (Applied Artificial Intelligence) from USD India Online can help you get effective foundational skills and be a pathway to a new career within the comfort of your home. While prior technology or related education is not mandatory, it is advisable to have a working understanding of the basic concepts before delving into the depths of an AI degree.

Also Read: Career Pathways in Artificial Intelligence with an MS Degree

Diverse Career Opportunities to explore with an Online MSc in Applied AI

  • AI/ML Engineer: AI/ML Engineers are being sought after for their capabilities to build AI-based architecture across industries. Typically, they work on large AI applications involving ML models across companies in large retail, e-commerce, financial institutions, and healthcare. The automotive industry is also seeking out AI/ML engineers to develop advanced safety algorithms in automobiles, optimize supply chains, and even provide deep customer insights. Mid- to senior-level AI/ML engineers can expect salary figures in the INR range of 10-20 Lakhs Glassdoor . An AI/ML engineer can choose to work their way up the ladder to senior engineers, data scientists, and team leads. To become an AI/ML research scientist, one way is to earn a master’s in AI, followed by a doctorate.
  • NLP Scientist: While they might seem similar, there are key differences between an NLP Scientist and an AI/ML Engineer. While AL/ML engineers focus on broader problems, NLP scientists have a specialized focus. They also need to have a strong knowledge of linguistics, apart from being able to analyze large data. NLP Scientists take care of machine translations and sentiment analyses in machines as well. There are multiple pathways to becoming an NLP scientist, though the most common comes from a skill-based MS in Applied Artificial Intelligence from USD India Online (Applied Artificial Intelligence). Professionals who have a strong educational background in linguistics can also advance into an NLP scientist role with additional education. The average salary for an NLP scientist can range from INR 20-35 Lakhs (Talent.com). Career progressions include senior roles with specializations or taking on a broader AI researcher role. Those who are already from a technology background and want to continue working while earning an education can consider an online MSc in Artificial Intelligence.
  • Computational Linguist: Computational linguists’ roles are intertwined across several fields like computer science, AI, engineering, anthropology, and neuroscience. These roles involve understanding the systems behind machines that learn and output languages. The responsibilities involved are language modeling, machine translation, speech recognition, text mining, and NLP. In India, the average salary of a computational linguist is about INR 32 Lakhs (Glassdoor). Computational linguists can have broad career opportunities right, from corporate and research roles to an academic career as well.
  • Robotics Engineer: An interesting career opportunity for those interested in mechanical systems, robotics engineering is booming across diverse industries. Healthcare providers are looking for precision robots for complex surgeries. The automotive and other manufacturing sectors are also integrating robotic supply chains for optimization. If you already have a background in operations, supply chain, or mechanical engineering, getting an online MSc in Applied AI can pivot your career towards advanced robotics engineering. Robotics engineers in India can earn up to INR 20-25 Lakhs per year (viewed online). A challenging job, professionals in this industry can also diversify into specialized sectors like defense, agriculture, and general research and development.
  • Human-Centered Machine Learning Engineer: Human-Centered Machine Learning Engineers build AI systems that give priority to user experience, fairness, and transparency. It is necessary for an individual holding this position to make sure that human values are considered when developing AI technologies, thereby making them accessible and ethical. In time, you can transition into senior engineering roles or specialize in creating ethical AI, which will enable you to shape the industry significantly.

Roadmap to building your career in the AI industry

Creating a roadmap for your career in the AI industry can begin with a couple of simple steps. A skill-based MS in AAI (Applied Artificial Intelligence) will help you create a foundation in the industry. Reflect on your skills and follow this step-by-step guide ahead:

  1. Evaluate Your Skills: Prior to plunging into an online MSc in Applied AI, assess your present abilities. Be sure that you are comfortable with basic programming, mathematics, and data analysis. There are many online resources and preparatory courses to help you catch up.
  2. Choose a Program That Fits: Find an online MS AAI program that combines theory and practice. Ensure that it offers a chance for specialization in the fields of your preference such as machine learning, NLP or robotics.
  3. Start Building a Portfolio: A strong portfolio can make you stand out. Engage in AI projects, participate in hackathons, and contribute to open-source projects. When applying for jobs, real-world experience is invaluable. Through your program, work on various projects and gather first-hand experience.
  4. Network and Learn Continuously: AI is a fast-moving field. Join AI communities, attend conferences or follow industry leaders on social media to find out about the latest trends and technologies.
  5. Prepare for the Job Market: Once you feel ready, apply for roles that match your skills and interests. Customize your resume and portfolio to emphasize relevant experience and rehearse typical AI interview questions.

Test your readiness: 

Are you ready for an online MSc in Applied AI? Check your readiness with the USD self-assessment test. You should take at most 4 hours to complete the assessment. However, don’t be discouraged if you cannot complete it or do not score well. It only suggests that you need to refresh some concepts. If you feel ready to start your journey, click here to apply for the online MSc in artificial intelligence.

A master’s degree in AI is a stepping stone to some of the most creative and influential technology jobs that are available today. Whether your goal is to be an AI/ML Engineer, NLP Scientist, Robotics Engineer, Computational Linguist, or Human-Centered Machine Learning Engineer, there are countless possibilities to explore, and they can be very fulfilling. If you have the proper education and enough determination, you could put yourself at the forefront of artificial intelligence, which will define this ever-changing field.