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Why has GenAI been integrated into the MSBA programs at Rady?

Nijs: GenAI is already transforming the ways people learn and work in many ways. Rather than fight the coming changes, we aim to teach our students skills that will complement what these tools already bring to the table.

We will be able to improve students math, programming and machine-learning skills in less time. As a result, our students will be able to develop a deeper understanding of the business problems they will solve using GenAI and machine learning during their capstone projects (in which they help an organization solve a real and pressing business challenge) and after graduation. Our part-time MSBA students, who are working professionals, will be able to have an immediate impact and bring value to their organizations as they learn to integrate GenAI into existing business processes or design new ones where different tasks can be maximally supported by GenAI.

In addition, GenAI will reduce the technical barriers to be successful in the program. For example, translating ideas into Python code with these tools will be much more efficient. Every incoming MSBA student along with program instructors and teaching assistants, will have access to GenAI to help in task completion. They basically have a personal AI tutor and can spend more time on valuable tasks like data exploration, applying advanced analytics and creating a tangible impact on the business problems they are trying to solve. Developing talent that has this experience, along with strong business acumen, will create business data scientists that are perfectly equipped to solve the business problems of the future and find innovative ways to help businesses grow.

Nijs: The Bureau of Labor Statistics projects data science job growth of 36% by 2031, which is much faster than the average for other roles. This is because businesses have access to huge amounts of data about their customers, supply chains, markets, devices, services, etc. So much so that developing creative ways to access, analyze and find patterns is particularly challenging but also necessary to stay competitive. Not only do business data scientists have to find meaningful insights, but they have to do it fast and at scale. GenAI can help business data scientists achieve these goals.

Business data scientists are integral to helping organizations make informed decisions, improve their business processes, design and develop new products, effectively market their products and more.

Nijs: We see GenAI as both a skill multiplier and a skill extender. That means students offered GenAI-enhanced learning will be stronger in terms of both their depth and breadth of understanding and abilities. By taking this big step forward we will have to work on new and better ways to continue challenging our students. GenAI-assisted learning will allow us to increase class expectations with respect to both the quantity and quality of student work. We are also creating customized GenAI policies for each MSBA class to ensure students are able to leverage these tools appropriately to maximize learning.

Students will also learn to use GenAI responsibly. Checking the work and using GenAI as a partner, but making sure that it's not hallucinating and that the work they submit is valid, credible and returns appropriate results. No matter if GenAI was or wasnt used for a particular task, we require that students can understand and explain every detail of their work. Students need to learn how to partner effectively with GenAI which takes practice.

Nemteanu: These technologies are still so new that the first major experimental studies are just starting to come out. They clearly show the massive impact these tools can have on individual and company performance.

For example, a paper published in Science demonstrated that ChatGPT was able to reduce the time required for a business writing task by 40% while at the same time increasing the quality of the work. After using AI, participants were also significantly happier. Why? Likely because it helped them complete tedious work at a much faster pace.

Our full-time students are going to have the real-world experience of using these technologies, building analytic solutions better and faster, something that will resonate with hiring managers. Students in our part-time MSBA program, who are working professionals, are going to be able to take what they learn and immediately apply it in their organization and have a lasting impact on near-term and long-term strategies and business goals.

Nemteanu: We believe that GenAI-assisted business analytics can add an extremely valuable layer of skills for many UC San Diego graduates. Studying data science for business (aka Business Analytics) is important because business is a science--whether its finance, marketing, supply chain--they require data and analysis to ensure every decision is data driven and credible.

If you have a technical undergraduate degree, we can bolster your job market outcomes (i.e., job title and salary) by helping you translate and enhance your skillset and set you on a GenAI-assisted path that solves business problems using data science tools. If you have strong domain expertise in a substantive area, e.g., biology, we can augment your abilities with a high-powered data and GenAI literate skillset. In short, a masters degree in Business Analytics can supplement any background and contribute to a very exciting future with amplified career opportunities.

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Rady School Leverages AI to Prepare Next Generation of Business ... - University of California San Diego