Why AI and Machine Learning Are Critical for Career Growth

The rise of AI and machine learning is transforming the way organizations operate. Not only are businesses able to automate routine tasks as never before, but many brands are taking advantage of personalization capabilities, predictive analytics, and even decision-making tools that can help them accomplish their goals. Professionals who have a strong understanding of how to apply these technologies in a business context have a significant competitive edge in today’s fast-paced market. 

If you are looking for a program that will set you up for success in today’s business world, the Part-Time MS in Business Analytics at Carnegie Mellon University’s Tepper School of Business offers the tools and education you need. In fact, the Tepper School ranks the #1 Business School in Business Analytics. The program provides working professionals like you with flexible, high-impact training designed to help master AI tools and apply them in real time, without pausing careers.

How Are AI and Machine Learning Applied in Business Analytics?

AI and machine learning are powering business transformation across industries, including healthcare, finance, marketing, and technology. AI in business analytics has become increasingly valuable, allowing businesses to collect more data and seek out better solutions for the challenges they and their customers face every day. The need for professionals who can bridge technical data skills with strategic business insight is rising, providing new opportunities for professionals across many fields, such as the following. 

• Customer segmentation: Customer segmentation is key to ensuring the personalization that modern customers are looking for when they interact with a brand. AI solutions can offer insight into creating effective segments and ensure that each one receives the right content based on its unique composition. 
• Forecasting: Modern AI technology can forecast future trends, customer needs, potential problems, and much more for businesses, allowing for faster decision-making and enhanced solutions.
• Fraud detection: Thanks to current machine learning and AI tools, many businesses are finding it easier than ever to detect fraud across the organization.

• Process automation: Utilizing automation effectively can help businesses cut down on the employee hours necessary to complete many common tasks, including managing shipments, providing basic customer service, and assigning projects.

Carnegie Mellon University is internationally recognized for its leadership in AI, analytics, and decision science, making it the ideal place to master data-informed leadership.

What Career Advantages Can AI-Driven Business Analytics Offer?

AI and machine learning are opening up new leadership and strategic decision-making opportunities for many businesses, which means you could have the opportunity to step into one of those roles. Machine learning for career growth isn’t just useful—it’s essential. Professionals with AI literacy and analytics expertise are ideally positioned for career advancement, particularly as an increasing number of businesses seek out individuals with those skills. 

At Carnegie Mellon, we have a strategic emphasis on AI for business. Our goal is to help you make the most of your time in our program, developing skills for using AI tools effectively in your everyday work and driving the intelligent future.

Inside the Part-Time MSBA Program: Flexible Learning, Real-World Impact

The Tepper School’s Part-Time MSBA program is designed with working professionals in mind. It offers a flexible format that makes it easy to juggle class responsibilities alongside work requirements and deadlines. Throughout this program, students can enjoy both synchronous and asynchronous coursework. Furthermore, through our immersive optional on-campus experiences, students can get on campus and connect with faculty, other students, and industry experts.

What Coursework Does the Part-Time MSBA Program Include?

The Tepper School’s Part-Time MSBA program offers a rich curriculum that includes courses like Machine Learning Fundamentals, Ethics and AI, and Machine Learning for Business Applications. These comprehensive classes offer deeper insight into the current changes across the business landscape as well as anticipated future trends. Students have the opportunity to apply classroom learning immediately to real-world business challenges, cementing that knowledge and setting them up for future success.

Sherine George, an MSBA graduate who is now a Senior Associate Data Scientist at BNY, experienced this firsthand. 

"With a Computer Science Engineering background, I joined the MSBA program excited about new technical challenges. The program exceeded my expectations, delving into the intricacies of AI and Large Language Models (LLMs). A highlight of my time here was developing a prototype Helpbot for the Tepper School to employ AI to enhance student engagement and decision making, utilizing OpenAI's GPT-3.5, Google's PALM2, LangChain, and Facebook AI Similarity Search, integrated with an open-source Python framework for a dynamic user interface.The combination of academic rigor and practical application significantly expanded my technical and strategic insights, bridging my past experiences with future ambitions,” she said.

Is Carnegie Mellon a Good School for AI?

Not only does the Part-Time MSBA program offer strong coursework, but Carnegie Mellon also ranks #1 for AI, according to U.S. News & World Report. This ranking reflects Carnegie Mellon’s deep roots in AI innovation, research, and application. Learning at a university consistently recognized as a global leader in the field is ideal for students who want to make the most of their future careers. At Carnegie Mellon, students will have access to resources like the AI Hub, where they can work directly with many AI-related tools. In addition, they will connect with industry-expert faculty, corporate partnerships, and alumni networks, all of which can help support career success.

Experience the Value of AI and Machine Learning

Ready to accelerate your career with AI fluency and analytics leadership? Discover how the Tepper School’s Part-Time MS in Business Analytics program can help you lead in the intelligent future of business. As AI capabilities continue to evolve and expand, there is no better time to develop your analytics skills. To learn more, review our admissions requirements today.