With the advent of new artificial intelligence (AI) tools, the data science field is experiencing a surge in interest and demand. From healthcare to finance, businesses across industries and the globe are increasingly turning to AI technology to enhance their operations and drive innovation. 

For example, a McKinsey Global Survey reported that 65% of respondents’ organizations actively use AI—a percentage nearly doubled from survey results only ten months prior. As a result, the need for qualified data science and AI professionals is rising, and companies are actively seeking individuals with specialized artificial intelligence skills to join their teams. 

If you’re considering a career path in data science or AI, you might wonder whether a graduate-level education centered around these new technologies is worth it in the long run. The following blog will help address these concerns, highlighting how a master’s in data science and AI can provide you with a competitive edge in the job market, careers you can pursue after earning your degree, financial considerations, and more.

The Growing Demand for Artificial Intelligence Professionals in Data Science

Organizations across sectors recognize AI’s potential to enhance efficiency, drive growth, and unlock new opportunities. From automating tasks to enabling predictive analytics and personalized recommendations, AI has become a strategic tool for businesses hoping to stay competitive.

• Is there a demand for AI job roles?

The rapid evolution and integration of AI technologies have already altered the landscape of business operations, healthcare practices, financial services, and beyond. As traditional processes are questioned and innovative solutions are implemented, the need for data science professionals with expertise in AI areas like data analysis, machine learning, and natural language processing is clear. 

• How can you access jobs in AI with confidence?

In today’s competitive job market, landing a career in AI with no experience and no degrees is uncommon. While a bachelor’s degree will be of some benefit, having a master’s degree in AI can set you apart from other job applicants. Employers value the advanced knowledge and expertise that comes with a master’s degree, especially in a field as complex and rapidly evolving as AI. With a master’s degree, you can gain a deep understanding of AI concepts and technologies while developing critical thinking and problem-solving skills that are highly sought after by employers.

Investing in a graduate-level education in data science and AI allows you to position yourself as a qualified and competitive candidate for a wide range of AI-related jobs in data science. Whether you want to advance in your current career or transition into an entirely new field, a Master’s in AI will open doors to exciting opportunities and help you stay ahead in this dynamic and fast-paced industry. 

Considering the Financial Investment of a Master’s Degree in Data Science

A large consideration when contemplating a master’s degree is the cost associated with the program. Understanding tuition fees, course materials, and any additional expenses related to pursuing your degree is essential to making an informed decision. 

Beyond the upfront investment, it’s also important to consider the career earnings that a master’s degree in the field will bring. Exploring the salary potential and related job opportunities will provide valuable insights into the long-term financial benefits of furthering your education in the field.

Explore more career paths you can pursue in data science and AI by accessing our eBook

Jobs in Data Science and AI

To give you a better idea of the return on investment of an AI-centered Master’s in Data Science, let’s take a closer look at just a few artificial intelligence-related jobs you can pursue after graduation and the salary levels you can expect to reach.

Data Scientist

Data scientists utilize AI and data analysis to interpret complex datasets, extract valuable insights, and inform strategic business decisions. They use data mining, statistical analysis, visualization, and predictive modeling expertise to create data-driven solutions.  

• Data scientist salary: The median salary for data scientists is approximately $108,000/year. 

Data Architect

Data architects design and implement data systems and structures to support the storage, management, and retrieval of large datasets. They plan and define data architecture, ensure data integrity, design data storage solutions, and optimize data flow within organizations to improve efficiency.

• Data architect salary: The median salary for data architects is around $118,000/year.

Artificial Intelligence Engineer

AI engineers develop and deploy AI solutions and systems, leveraging natural language processing, computer vision, robotics, and deep learning models to create intelligent applications and technologies. They work on developing AI systems that can simulate human intelligence and perform tasks such as decision-making, problem-solving, and pattern recognition. 

• Artificial intelligence engineer salary: The average base salary for an artificial intelligence engineer is roughly $175,000/year.

Machine Learning Engineer

Machine learning engineers design and implement machine learning models and algorithms that can learn from and make predictions or decisions based on data. They work on training, testing, and optimizing these models for specific tasks and applications, ensuring they perform effectively and efficiently. 

• Machine learning engineer salary: The average salary for a machine learning engineer is approxitmately $163,000/year.

The Value of a Master’s in Data Science and AI

All things considered, is a master’s in AI worth it? To answer this question, it’s important to focus on the potential for job stability and the long-term opportunities that come with this advanced degree. While the initial investment can feel daunting, a master’s degree in the artificial intelligence field is sure to open doors for diverse career opportunities while ensuring a strong foundation for long-term success. 

And because jobseekers with master’s degrees are favored by three out of four employers looking to fill AI positions, its value goes beyond just acquiring knowledge, serving as a platform for career growth and professional development. By earning a master’s in AI, you will position yourself as a sought-after expert in a field with increasing demand and vast potential, paving the way for a rewarding and impactful career.

Your AI Career Path Begins at the University of Dallas

The Master of Science in Data Science and Artificial Intelligence at the UDallas College of Business is designed to provide you with the tools and techniques required to support ethical and sustainable business decisions domestically and globally. 

Why study Data Science and AI at UDallas?

• • Our cutting-edge curriculum is fully equipped with current data science concepts, competencies, and practical tools.

  • Project-based learning and small class sizes ensure personalized mentorship and hands-on experiences.

  • Learn to incorporate AI with a focus on ethical data use, ensuring you understand the human dimensions and decisions that should inform how AI and data are used in business.

  • The AACSB-accredited program provides an education that will develop you into a data science leader, opening doors to career advancement. 

  • Working professionals taking two classes per semester can complete the 36-hour program in two years or less.

To learn more about advancing your skills and knowledge to access an in-demand field, view our guide—A Guide to AI, Data, and Cybersecurity Careers: How to Set Yourself Apart in a Tech-Driven World.

If you have questions about our master’s in data science and AI or want to learn more about UDallas, please request more information.