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Bachelor of Applied Science (BAS) – Applied Data Science and Artificial Intelligence
Applied Data Science and Artificial Intelligence
Is a Bachelor of Applied Science (BAS) right for me?
UCM’s BAS degree is designed for students who have completed an Associate of Applied Science (AAS) at the community college level. If you do not have an AAS degree but are interested in applied technology management, consider exploring UCM’s related programs.
- BS - Computer Science: Computer Networking Option
- BS - Computer Science: Computer Science Option
- BS - Computer Science: Game Development Option
- BS - Computer Science: Software Development Option
- BS - Cybersecurity: Cyber Operations
- BS - Cybersecurity: Secure Software Development
- BS - Data Science
- BS - Information Technology
- BS - Software Engineering
Are you ready to turn raw data into intelligent solutions and lead the next wave of technological innovation? If you hold an Associate of Applied Science (AAS) in computer science, software development, mathematics or a related technical field, the University of Central Missouri’s Bachelor of Applied Science in Applied Data Science and Artificial Intelligence is built to elevate your tech career.
Delivered across multiple modalities — including on-campus in Warrensburg and Lee’s Summit as well as online — this program allows you to maximize your transfer credits to complete your bachelor’s degree faster. You will go beyond theory to build practical, industry-aligned skills in machine learning, automation and predictive modeling using standard tools employed by top tech companies.
Request Information About the Applied Data Science and Artificial Intelligence, BAS
Bachelor of Applied Science (BAS) – Applied Data Science and Artificial Intelligence at a Glance
Degree Type: Bachelor of Applied Science (AAS Required) | Credit Hours: 120 Hours
Degree Can be Taken: Online
Admission Requirements: Completion of an Associate of Applied Science Degree
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Belinda Copus Erica Spurgeon
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What you’ll learn in the Applied Data Science and AI program
UCM’s BAS in Applied Data Science and AI focuses on practical application and skill development. You will learn how to analyze massive datasets, design intelligent algorithms and deploy machine learning models to solve complex, real-world industry challenges.
Through our specialized courses, you will study:
- Machine Learning and Predictive Modeling: Utilize machine learning algorithms, Natural Language Processing (NLP) and modern AI tools to build, train and deploy predictive systems.
- Data Visualization and Business Intelligence: Transform complex datasets into actionable insights and intuitive visual dashboards for decision-makers.
- Automation Development: Design automated workflows and intelligent software agents to optimize business operations and tech infrastructure.
- Applied Data Architecture: Work with industry-standard databases, data pipelines and computational frameworks to manage large-scale data systems.
Applied Data Science & Artificial Intelligence (BS01): 30 Semester Hours
- ACST 1300 - Basic Statistics GE (3)
- CS 4000 - Special Problems in Computer Science (1-3) (3)
- CS 4170 - Object Oriented Programming - Python (3)
- CS 4600 - Database Theory and Applications (3)
- CS 4710 - Machine Learning (3)
- DSA 3200 - Introduction to Data Visualization (3)
- DSA 4100 - Programming Foundations for Data Science and AI (3)
- DSA 4200 - Advanced Data Visualization (3)
- DSA 4620 - Big Data Analytics (3)
Select 3 Hours from the Following:
- CS 4020 - Internship (1-3) (3)
- CS 4610 - Introduction to Cloud Computing and Services (3)
- CS 4700 - Artificial Intelligence (3)
- CS 4720 - Neural Network and Deep Learning (3)
- CS 4760 - Natural Language Processing (3)
- DSA 4400 - Statistical Foundations for Data Science and AI (3)
- DSA 4600 - NoSQL Database Systems (3)
Unique learning opportunities in Applied Data Science and AI
- Hands-On, Industry-Designed Projects: Experience a curriculum designed around real-world scenarios. Every course emphasizes direct application, giving you direct experience with modern AI software and data analytics tools.
- Comprehensive Senior Capstone Experience: Showcase your skills to potential employers by tackling a complex, semester-long capstone project that solves an intricate, realistic tech challenge from end to end.
- Flexible Modality Options: Tailor your learning experience to fit your schedule with classes offered on-campus in Warrensburg and Lee’s Summit, as well as through flexible online formats.
- Expert Computer Science Faculty: Learn from active tech practitioners within UCM’s Department of Computer Science and Cybersecurity who bring cutting-edge industry standards directly into the classroom.
Fast facts about Applied Data Science and AI, BAS
- Multiple Modality Pathways: Choose between on-campus learning (Warrensburg or Lee’s Summit) or online options to balance your education with your lifestyle.
- Nationally Recognized Transfer Support: Named to the Phi Theta Kappa Transfer Honor Roll, UCM makes it easy to apply your AAS technical credits toward a bachelor’s degree.
- Focus on Practical Application: Priority is given to mastery of real-world software tools and industry-standard workflows over pure abstract theory.
- High-Demand Career Readiness: Prepares you directly for rapid growth sectors in artificial intelligence, software engineering and business analytics.
Talk to an Admissions Representative
Financial Aid and Scholarships for Applied Data Science and AI, BAS
As a UCM student, you’ll have a dedicated financial aid counselor as part of your six-person student support team to help you navigate tuition assistance, grants and loans. The University of Central Missouri offers general university awards and aid packages designed to keep your education affordable.
Additionally, students in the Department of Computer Science and Cybersecurity can utilize the UCM Scholarship Finder to search for departmental awards, STEM-specific grants and merit-based scholarships.
The next steps to earning a BAS - Applied Data Science and AI are yours:
① Request information about UCM’s Applied Data Science and AI, BAS.
Career opportunities and outcomes for Applied Data Science and AI, BAS
Data science and artificial intelligence are driving transformations across every industry, from healthcare and finance to logistics and software engineering. Organizations are seeking professionals who not only understand data but can also deploy automated AI models to solve operational problems.
Graduates of UCM's Applied Data Science and AI program are prepared to step directly into technical development, data analysis and intelligent automation roles.
Possible bachelor's degree jobs and career paths include:
- Data scientist
- Data analyst / Business intelligence analyst
- Machine learning analyst
- AI software developer
- Automation developer
- Data visualization specialist
Apply to the Applied Data Science and Artificial Intelligence, BAS Program
The UCM Career and Life Design Center
The UCM Career and Life Design Center is here for undergraduate students, graduate students and alumni from all majors, identities and interests. We are a hub for career exploration and career readiness. We offer resources and support for:
- exploring career options
- life design (explore and build career and life journeys, designing next steps)
- job and internship searching
- document reviews (resumes, cover letters, personal statements, etc.)
- interviews (coaching and mock interviewing)
- Professional Clothing Studio
- preparation for graduate school (application materials, exploring programs)
- and more!
Related Options
Frequently Asked Questions
You will gain hands-on expertise in machine learning, Natural Language Processing (NLP), data visualization, automation and business intelligence. The focus is on using industry-standard tools to build, train and deploy AI models that solve real-world problems.
This program is tailored for students holding an Associate of Applied Science (AAS) in fields like Computer Science, Software Development, Mathematics or related technical disciplines. It builds upon your existing coding and math foundation.
