Table of Contents
- Quick Facts
- Introduction
- Why AI Is Reshaping Both Business and Data Science Education
- How UT San Antonio Online Is Building AI Into the Online MBA through the Carlos Alvarez College of Business
- How AI Is Shaping the Data Science Curriculum
- Practical Ways Students Learn AI Best Practices Across the Board
- Why an Online Format Makes AI Learning More Accessible
- Preparing Graduates for a Generally AI-Driven Workforce
- Empower Yourself with AI Skills through Your Education at UT San Antonio Online
- Frequently Asked Questions
Quick Facts
- UT San Antonio Online includes AI instruction in our MBA and Data Science programs by incorporating hands-on projects that involve practical use cases in real workplace scenarios.
- New graduates should be able to demonstrate AI fluency and the ability to apply AI tools for a variety of strategic purposes, beyond plugging in basic prompts.
- An understanding of how to use and leverage AI is a valuable differentiator in today’s job market, so exposure to and fluency with AI tools like ChatGPT and Claude is important in a business education.
- UT San Antonio Online prepares you for practical usage of AI in business environments with real-world scenarios and realistic examples of use cases.
Introduction
Do you want to impress employers and stand out in the modern workforce? A majority of employers now expect new hires to be well-versed in AI tools and how to apply them. By participating in an AI-forward program at UT San Antonio Online, you can gain modern skills and do just that.
The use of tools like ChatGPT, Claude, Perplexity and Gemini is becoming more common in professional environments. The most qualified job candidates today have a strong grasp of how to use them to solve daily business problems and guide strategy.
UT San Antonio faculty infuse AI into the curriculum so you too can understand how to use it for different business applications. Our programs cover AI as a fundamental component of the business environment, not a supplementary skill.
We prepare you to work with these tools and understand the practical applications in business environments so you’re equipped to stand out and succeed in the modern workforce. Both our 100% online MBA program, offered by the AACSB-Accredited Carlos Alvarez College of Business, and our Data Science Graduate Certificate course make the use and application of AI a fundamental part of the curriculum.
Why AI Is Reshaping Both Business and Data Science Education
The rapid adoption of AI tools across industries is making the use of artificial intelligence a key part of an effective education. A significant 75% of employers say they expect moderate AI proficiency to be standard in most non-technical roles. AI isn’t just “preferred”; it’s “expected”.
While you may use generative AI tools for day-to-day tasks and simple questions, applying these skills and tools to solve business problems is a more advanced skill in its own right.
Educational programs that don’t cover these skills are doing you a disservice, as employers now expect these skills more than they treat them as an added value. The most effective programs weave AI into their curriculum. They don’t just teach you how to use generative AI tools like LLMs, but also how AI is implemented in the workplace to optimize processes and solve problems.
This is why UT San Antonio Online is part of setting the trends as an institution, making AI usage a key element of all our programs. As a direct response to employer demand and the market, our university has made a strong commitment to investing in AI. Our College of AI, Cyber and Computing is a great example, while existing schools like the Carlos Alvarez College of Business are increasingly incorporating AI into their coursework.
What Today’s Employers Expect From Graduates Across Industries
Employers expect graduates and new hires not only to be comfortable using AI, but also to be able to lead with AI. This idea requires you to have the ability to use AI tools for practical business purposes. You’ll also need to guide the execution of meaningful business strategy that can move you closer to your daily goals.
You should be able to use these tools to create a business advantage that gives you a professional edge. With the rise of AI usage, AI competency is more than a convenient extra credential. It’s an expectation for many employers.
At the same time, employers will expect you to maintain technical skills as well as the human skills that AI can’t replace, like judgment, communication and ethics.
From AI Literacy to AI Fluency
AI literacy is an awareness of AI tools and a surface-level understanding of how to use them. AI fluency is the ability to confidently use and apply them in real-world business scenarios. UT San Antonio Online programs are focused on fluency, empowering you to adapt and apply AI to real problems you’ll face in the workplace.
Our curricula focus on embedding AI across multiple courses rather than making it a subtopic or limiting it to a single elective. Our fluency-first philosophy specifically shapes our online business and Data Science programs. Across the board, our programs prepare you to understand a variety of AI tools, recognize which ones are beneficial for specific use cases and apply them to relevant roles in business, policy, public safety and beyond.
How UT San Antonio Online Is Building AI Into the Online MBA through the Carlos Alvarez College of Business
UT San Antonio Online recognizes AI usage as a fundamental part of the business environment, influencing strategy, marketing, operations and finance. AI isn’t a separate tool, but a key part of daily business functions. Our programs through the Alvarez College of Business treat AI as just that, with special attention to its role in everyday practices.
AI Woven Across the Business Curriculum
AI is addressed as a core part of our curriculum, not a separate concept. MBA students learn to evaluate where AI creates value, manage AI-driven teams and govern responsible adoption.
Courses like Introduction to Business Analytics and Artificial Intelligence effectively equip you with skills necessary to use AI appropriately. Common topics include:
- Data collection and management
- Statistical analysis
- Predictive modeling
- AI-driven business strategies
In our courses, you’ll learn to apply analytical tools and AI techniques to solve real-world business problems. Assignments may include automating outreach to business customers or using analytics to identify how you communicate with consumers.
Ultimately, our programs maintain a strong focus on applying concepts in the real world so you gain true AI fluency, beyond a basic understanding of how the technology is used in business environments.
A Real Example of an Assignment You’ll See
An example from our BAN 6003: Data Management and Analytics Integration course involves an assignment where you use Python and Scikit-learn to predict whether a flight will arrive late. During the assignment, you prepare flight-level data, create a binary target and fit logistic regression and decision tree models. Then, you will evaluate the models using confusion matrices, accuracy, precision and recall.
The assignment connects the models you create to business decisions rather than treating modeling as a standalone technical exercise. You will compare the different probability thresholds for sending delay alerts, examining tradeoffs between false positives and false negatives to recommend a threshold based on operational priority.
This assignment fits into the overarching goals of the program, which aims for you to prepare reliable data and determine whether a given modeling method is appropriate. All of this serves as important foundations for using AI responsibly in the workplace.
Connecting the MBA and Business Analytics
While they are two separate programs, there is strong overlap between UT San Antonio Online’s Master of Business Administration (MBA) and the Master of Science in Business Analytics (MSBA) taught under the same college. Both programs are taught by the expert faculty of the Alvarez College of Business, and explore data-driven decision-making, AI applications and the strategic use of analytics in today’s business environment.
When comparing the Online MSBA vs. the MBA, the key difference is depth. It depends on your preferred career path and whether you want a more general education that covers a variety of key business concepts (like the MBA) or a program hyper-focused on analytics and its use in business functions (like the MSBA).
Our online MBA with AI concepts included prepares you for managing teams, leading departments, and potentially advancing into executive leadership. Meanwhile, the online MS in Business Analytics prepares you for in-depth analytical concepts and how to use specific AI tools to drive decision-making.
The biggest difference between the two is that the online MBA exposes you to a wider range of business functions and how they work together. The MS in Business Analytics dives deeper into analytics and data-driven decision-making, building more focused expertise in concepts like quantitative methods, predictive modeling and business intelligence tools. This deeper dive also allows more opportunity for the use of AI and machine learning tools to impact business decisions.
How AI Is Shaping the Data Science Curriculum
The use of applied machine learning and AI is fundamental to a modern data science education, and this philosophy is infused into our Data Science Graduate Certificate program, offered through the College of AI, Cyber & Computing. Data Science students learn important skills like how to build, evaluate and deploy AI and machine learning models, not just receive AI outputs.
Machine Learning and Applied AI Foundations
In our Data Science program, you’ll learn how foundational statistics, programming and traditional data science concepts can be supported by machine learning and AI tools. You’ll have the flexibility to gain a variety of skills involved in advanced AI applications that are useful across many different environments, even if you don’t have a background in data already.
You’ll learn data science and AI skills like:
- Data wrangling
- Data visualization
- Model evaluation
- Statistical analysis
- Machine learning
- Data mining
These courses involve hands-on work with real datasets and industry-standard tools and languages, like Python, NumPy or common machine learning libraries like PyTorch or Scikit-learn. With the skills and experience they provide, our programs prepare you for career paths like becoming a data scientist, data analyst or machine learning engineer.
You’ll gain experience doing the following:
- Building application programming interfaces (APIs) to generate reports and conduct important business tasks
- Analyzing the tradeoffs between various open-source AI models
- Engineering prompts for LLMs and other generative AI tools
- Utilizing machine learning algorithms to analyze large datasets
- Making informed decisions using AI-driven business strategies
Generative AI and Emerging Tools in the Classroom
With an education at UT San Antonio Online, you’ll embrace topics involving AI and emerging tools head-on. For example, DS 5043. Generative Artificial Intelligence discusses transformer architecture and critical topics like tokenization, context windows, embeddings and more. As a student, you’ll learn how to use various APIs, host language models locally and explore the unique tradeoffs between different tools.
As part of our program, you’ll learn not just how to use specific tools, but also how to think critically when using AI tools. This includes assessing model limitations, bias and reliability. Since you’re exposed to state-of-the-art topics, such as prompt engineering and retrieval-augmented generation, you gain the ability to transform how businesses view, process, and use their corporate knowledge base.
Our courses give you the skills to carry forward into a frequently changing and advancing environment. Our curriculum remains dynamic to respond to the ongoing changes and advancements in artificial intelligence so that coursework stays relevant and you are equipped to use modern AI in your current and future roles.
AI in the Data Science Certificate Curriculum
Our Data Science Certificate exposes you to state-of-the-art topics, like prompt engineering and retrieval-augmented generation, that you can directly use to make transformative decisions in a professional role. After your program, you’ll carry forward skills like data visualization and predictive analysis to use to solve real-world challenges.
As many students do, you move into the workforce prepared to frame a business problem, decide whether AI is appropriate and apply your knowledge to build and evaluate a solution. You’ll have the skills to validate AI outputs, measure the performance of solutions, communicate limitations and make responsible decisions.
You’ll gain valuable experience with key tools that allow you to thrive in a variety of situations in the professional world. The AI and machine learning experience you gain opens up limitless potential as you build your career.
After completion of the certificate through the College of AI, Cyber and Computing, you gain the skills to frame a business problem, decide whether AI is appropriate, and apply your understanding of data science, machine learning and generative AI to build and evaluate a practical solution. You’ll be able to validate AI outputs, measure the performance of solutions, communicate limitations and make responsible decisions about accuracy, privacy and human oversight.
Real Examples of Students Using Learned Skills in Their Careers
Students who complete a Data Science Certificate have gone on to use the skills they learn in consulting, public safety and other roles. A recent graduate working for a non-profit has utilized skills learned in DS5013: Programming for Data Scientists and DS5023: Data Organization and Visualization to automate the processing of thousands of survey responses for data visualization.
They programmed an API to fetch survey responses into CSV records and send them into a pipeline of tools like SharePoint and Power BI to produce a detailed report with visualizations.
Another recent graduate used foundational learning in computer vision, taught in DS5033: Machine Learning and Data Mining, to build object detection models for motion detection in CCTV. The skills the student learned allowed them to efficiently process large volumes of footage to provide oversight in business security.
They applied programming in Python with libraries such as OpenCV and PyTorch to construct a video ingestion pipeline that was analyzed frame-by-frame with the YOLOv5 object detection framework.
Practical Ways Students Learn AI Best Practices Across the Board
At UT San Antonio Online, you’ll learn AI best practices in a meaningful way: with experiential, project-based and confident learning over lecture-only instruction. The commitment to working with real AI tools allows you to walk away with tangible and applicable skills, no matter which UT San Antonio Online program you choose.
Hands-On Projects With Real Data
Our programs involve applied projects, simulations and case-based assignments where you’ll have the opportunity to work through real problems rather than just learn theoretical concepts. With a focus on hands-on AI projects, you’ll learn how to solve problems and how these problems may manifest in real-world environments. This practical coursework also allows you to build a portfolio using the projects you work on in class to later showcase experience to employers.
Our online coursework creates an environment where you can continue to engage in collaborative project-based learning, hear from guest speakers and explore thoughtful assignments with virtual teams and tools. You’ll enjoy the flexibility of a remote environment without sacrificing any quality of instruction.
Working With Tools Like ChatGPT and Machine Learning Platforms
The best way to learn key concepts is from hands-on practice with AI tools. With UT San Antonio coursework, you’ll gain exposure to generative AI assistants and language learning models (LLMs) like ChatGPT and Claude, analytics tools like Copilot and machine learning platforms like Microsoft Azure.
You’ll learn skills like effective prompting, validation of outputs and when to trust versus when to verify AI results. This hands-on practice creates fluency that carries over to real workplace tasks you’ll perform in current and future jobs.
Building Responsible and Ethical AI Habits
With the use of AI come important considerations like AI ethics, bias, data privacy and governance. Addressing these concerns must coexist with AI use; they are not afterthoughts. Employers value candidates who have demonstrated consideration of and competency in AI transparency and accountability.
Our programs balance innovative AI usage with caution and responsibility. Responsible AI use is a core element of our programs and is a consistent undertone in our classes, ensuring that use of these tools does not occur without careful consideration.
Why an Online Format Makes AI Learning More Accessible
Our 100% online format is designed to make AI learning accessible and attainable, and our expanding course offerings are just part of how online education is evolving in the age of AI. Because our classes are designed for practical application and career competency, you’ll have the resources to adapt to the current professional climate. All the while, our flexible structure allows you to learn new concepts, explore problems and experiment with tools on your terms.
Our online model means:
- 100% online coursework with assignments due weekly
- No set class meeting times and flexible assignments
- Interactive learning experiences
- Career-focused instruction
The flexibility is great if you’re a working professional who has other responsibilities. You CAN learn important skills and build your future while taking care of life. This flexibility comes with the same level of high-quality instruction as our in-person programs.
Our online format also means it is easier to keep coursework current and relevant as AI tools evolve, so you have access to the latest information.
Preparing Graduates for a Generally AI-Driven Workforce
UT San Antonio Online is no stranger to innovation and is setting the pace for AI education, preparing you to use AI tools in real-world applications. Our programs are developed in the context of the current job market and industry, ensuring that you’re prepared for a career in the role you’re pursuing.
UT San Antonio Online is a great place for you to experience a forward-looking university that prepares you to stand out in your career, not just today, but tomorrow, too. Our particularly career-focused curriculum aligns with industry needs so you’re adequately prepared for the workforce and the direction it’s heading.
San Antonio and Texas as a whole are growing hubs for cybersecurity, technology and data science professionals, with an expansive network of educators, professionals and career opportunities. This future-forward mindset makes our university an excellent resource for you as an aspiring professional to develop new skills and transition into a fulfilling career.
Empower Yourself with AI Skills through Your Education at UT San Antonio Online
UT San Antonio Online prepares you for a future in the modern professional environment by equipping you with the real-world, hands-on skills and tools to adapt to and thrive amid the increasing adoption of AI in business environments.
Explore our 100% online MBA Program and 100% online Data Science Certificate programs for yourself. Contact UT San Antonio Online at 210-458-4400 or [email protected].
Learn more about UT San Antonio Online's ProgramsFrequently Asked Questions
Yes, artificial intelligence and how it can be used in business analytics and decision-making is a core part of our online MBA program through the Carlos Alvarez College of Business. Our curriculum includes discussions of AI and how it can be used in business environments as an overarching theme. Meanwhile, classes like Introduction to Business Analytics and Artificial Intelligence provide a direct and in-depth focus on how AI is used to solve real-world business problems.
Artificial intelligence is included in our online Data Science curriculum by explaining its potential role in data organization, visualization and analysis. It’s covered most extensively in our Generative Artificial Intelligence course and our Data Mining and Machine Learning course.
Generative Artificial Intelligence discusses important topics related to Transformer architecture, including tokenization, context windows and embeddings. You’ll use artificial intelligence tools to gain practice with fine-tuning, prompt engineering, mitigating hallucinations and alignment.
Meanwhile, Data Mining and Machine Learning investigates fundamental data-science concepts in in-depth analysis, data mining, machine learning and artificial intelligence.
The goal is to give you first-hand experience navigating challenges and solving contextual problems you would be faced with in a practical work environment.
No, you do not need a technical or coding background to learn AI in UT San Antonio Online’s MBA, MSBA or Data Science Graduate Certificate. Our programs are designed to prepare anyone for understanding these concepts and using basic tools, even if they are new to the field.
UT San Antonio Online programs and courses encourage the use of a variety of AI tools and machine-learning platforms to build experience and proficiency, including Microsoft Copilot, ChatGPT, Claude, Perplexity and Gemini.
The institution provides campus-wide access to Microsoft Copilot and Adobe tools, giving students opportunities to explore AI capabilities within university-supported platforms. Access to other AI tools may vary and may require individual accounts.
Students are also encouraged to explore the free AI Essentials: Guidelines and Approaches course for practical guidance on using generative AI responsibly and effectively in their academic work.
UT San Antonio Online includes responsible AI use, including ethics, privacy and governance, as an important part of all our programs. Our programs will review actual ethical dilemmas and privacy concerns that you may be forced to confront using AI tools in the real world. You’ll learn how to balance AI usage with a careful consideration of how to responsibly plug in information, build integrations and avoid plagiarism.
An AI-focused MBA or data science credential equips you with important analytics skills, problem-solving capabilities and versatility that you can apply to a variety of careers.
Common career positions for an AI-focused MBA include:
- Operations Manager
- Marketing Manager
- Product Manager
- General Manager
- Management Consultant
- Business Development Director
- Executive Leadership
Meanwhile, common career paths for a graduate with an AI-focused data science credential include:
- Machine Learning Engineer
- Business Intelligence Analyst
- Clinical Data Manager
- Data Warehousing Specialist
- Data Analyst
- Big Data Engineer
Yes, you can learn these skills fully online while working full time. Our programs are flexible with no set class times so you can learn on your schedule. You’ll have due dates each week to help you stay on track. All of our programs are led by quality instructors who are there to provide additional guidance so you have the support you need to grasp concepts even while working full-time.
The core differences between the online MBA and the MS in Business Analytics are that the online MBA involves understanding how AI can be used to provide perspective on managing teams and guiding business strategy. The MS in Business Analytics features a more focused coverage of data analysis and applications, which involves more expansive detail into AI usage for these purposes.
However, both programs are delivered by AACSB-accredited Alvarez College of Business faculty and incorporate AI throughout the curriculum to enable you to use and apply AI in real-world situations in your respective fields.