Bachelor of Applied Arts and Sciences – Emphasis in Data Analytics Online
Maximize your transfer credits with a data analytics BAAS and develop the in-demand data science skillset for success in this high-growth career field.
Apply by:
7/28/26
Start class:
8/18/26
Program Overview
Build on your accomplishments as an AAS graduate with this fast-track data analytics BAAS program
Expand your data science knowledge quickly with the Bachelor of Applied Arts and Sciences – Emphasis in Data Analytics program from Lamar University. This accelerated pathway to degree completion is tailored to AAS graduates and designed to build on your success, including course credit for military experience earned as part of your associate degree.
Data analytics courses from the respected Lamar University College of Business will help you upskill quickly in areas such as business intelligence, SAP, data-driven storytelling, database design/programming and project management. Apply your AAS credits, study at your convenience and finish your remaining undergraduate requirements sooner with 24/7 access to online courses.
Upon graduation, your diploma will reflect the Bachelor of Applied Arts and Sciences degree. Emphasis areas will not be noted.
In this BAAS Data Analytics program, you will:
- Learn personal productivity concepts to help achieve goals in a professional context
- Create a clear and compelling vision statement and apply strategies to time management in your profession
- Develop and apply strategies for goal setting and task prioritization around various professional roles
- Develop a technology and energy management plan for use in professional environments
- Learn personal productivity concepts to help achieve goals in a professional context
- Create a clear and compelling vision statement and apply strategies to time management in your profession
- Develop and apply strategies for goal setting and task prioritization around various professional roles
- Develop a technology and energy management plan for use in professional environments
Career opportunities with a data analytics BAAS include:
- Data Analyst
- Business Analyst
- Reporting and Insights Specialist
- Market Research Analyst
- Operations Analyst
- Data Analyst
- Business Analyst
- Reporting and Insights Specialist
- Market Research Analyst
- Operations Analyst
Also available:
Lamar University offers a range of online BAAS degree programs in high-growth professional fields, each built around a distinct emphasis area.
Per Credit Hour
$314*
Transfer Credits
Up to 90
Credit Hours
120
*Price includes distance learning fee.
Tuition
Learn about tuition for the BAAS Data Analytics program
The following is the tuition breakdown for students pursuing the BAAS – Emphasis in Data Analytics online program. Our affordable, pay-by-the-course tuition helps you keep your education costs in check.
| Program | Per Credit Hour | Per Course |
|---|---|---|
| BAAS – Data Analytics Emphasis | $314 | $942 |
*University fees are included in the tuition listed. University fees can be covered by Financial Aid if you choose to apply and are qualified for aid.
Tuition and fees are subject to change without notice due to action by the Board of Regents or The Texas State Legislature.
Total program cost depends upon transfer hours and program advisement relevant to program requirements. For more information, contact a Lamar University enrollment specialist.
Financial Aid
Ready to get started on your degree program online but need help finding ways to fund your education? We can help you discover student financing sources that include grants, loans and other payment options. Learn more about financial aid here.
Tuition breakdown:
Per Credit Hour
$314*
Calendar
Discover program start dates and deadlines
Our BAAS Data Analytics program features multiple start dates to accommodate your busy schedule. Choose the application deadline that works best for you and begin earning your degree any time of year.
| 8 week courses | Program Start Date | Application Deadline | Document Deadline | Payment Due | Last Class Day |
|---|---|---|---|---|---|
| Fall 1 | 8/18/26 | 7/28/26 | 8/4/26 | 8/11/26 | 10/9/26 |
| Fall 1 | 10/12/26 | 9/21/26 | 9/28/26 | 10/6/26 | 12/10/26 |
Now enrolling:
Apply Date
7/28/26
Class Starts
8/18/26
Have questions or need more information about our online programs?
Ready to take the rewarding path toward earning your degree online?
Admissions
Review admission guidelines for the BAAS Data Analytics undergraduate degree program
The BAAS Data Analytics program has specific requirements that applicants must meet to enroll. Please read the admission guidelines carefully to ensure you qualify.
Admission Requirements:
- AAS Degree with Coursework in Data Analytics or MIS
- Official Transcripts
University Admission Requirements
All applicants must complete an application packet, consisting of:
- Complete online application and pay an application fee of $25
- Submit official transcripts from all high schools, colleges and universities you have attended
- All transcripts are required regardless of accreditation. Only regionally accredited institutions will be eligible for transfer credit.
- Verify specific requirements associated with chosen degree program
BAAS – Emphasis in Data Analytics Admission Requirements
- Completed AAS degree from a regionally accredited community college
- AAS coursework in data analytics/data analysis and management information systems (MIS)
Courses
Explore the BAAS curriculum, including data analytics courses
The data analytics BAAS degree is comprised of 120 hours, including up to 42 hours in AAS transfer credit, 27 hours in emphasis-area classes, and general education coursework needed to meet bachelor's degree requirements.
Core Courses
MISY 3370: Database Programming
Duration: 8 Weeks weeks
Credit Hours: 3
This course serves two audiences: (1) those who want to be an information systems analyst; and (2) those who will be users or managers involved in systems development projects, an active member of a project team, or the client for a system request. Since systems development is central to the IS field, this is a basic course for training you for your career. Information systems concepts, systems analysis and design methodologies and techniques and tools used during the development of information systems will be covered. Students will be exposed to both classic methods and emerging methods of systems analysis and design. The topics necessary for changing environment for systems development will be covered along with a renewed focus on agile methodologies including SCRUM.
This course will concentrate on:
- Concepts and skills students need to analyze and design information systems
- The front-end of the systems development process, covering systems planning and analysis and touching on the design, development, testing and maintenance of computer programs
- Analyzing a business and its processes developing an appropriate strategy to solve a problem or taking advantage of an opportunity
- Utilizing relevant systems analysis and design methodologies, as well as using tools for systems
analysis and design, including descriptive documentation (e.g., business charter, use cases),diagrams (e.g., data flow diagrams, entity relationship diagrams, process diagrams) and reports - Applying data-gathering techniques and communicating that information efficiently
MISY 4340: Business Intelligence and Analytics
Duration: 8 Weeks weeks
Credit Hours: 3
The purpose of this course is to introduce students to Business Intelligence and Analytics. business Intelligence refers to the use of computers to analyze complex information about an organization and its competitors for use in business planning and decision-making. The objective is to create timelier and higher-quality input to the decision process. This course will also provide a comprehensive overview of analytics concepts and hands-on approach to practicing those concepts with latest enterprise software solutions.
By the end of this course, students will be prepared to:
- Analyze data to generate information and knowledge that will lead to informed decisions for businesses
- Create standard reports for business users
- Derive insightful trends using data mining and machine learning techniques
- Apply the latest in analytics technology in real-world case studies in the areas of entertainment, business, climate change, etc.
- Show how business intelligence can be derived from data warehouses information technology program
- Author enterprise dashboards that are used to summarize and visualize data in a way that supports insight into trends and “what-if” analysis in real time
MISY 4350: Project Management & Practice
Duration: 8 Weeks weeks
Credit Hours: 3
The student who successfully completes this course should be able to understand the genesis of project management and its importance to ensure the success of information technology projects. Students will be exposed to project management concepts and techniques such as: the triple constraint of project management, project management knowledge areas, project life cycle, tools and techniques of project management (for example: project selection criteria, work breakdown structures, network diagrams, critical path analysis, cost estimates, and schedule management). Students will learn the essentials of using Primavera P6 to plan and manage IT projects.
By the end of this course, students will be prepared to:
- Explain key project management principles and practices
- Analyze strategic planning processes and project selection methods
- Determine project requirements by defining scopes, schedules, resources and costs for IT projects
- Utilize Primavera P6 for effective project management integration
MISY 3341: Data Visualization
Duration: 8 Weeks weeks
Credit Hours: 3
This course provides a comprehensive introduction and hands-on experience in basic data visualization, visual analytics and visual data storytelling. It introduces students to design principles for creating meaningful displays of quantitative and qualitative data to facilitate managerial decision-making in the field of business analytics. Many organizations are using analytics and visualization to make better decisions and improve customer and shareholder value. this is deemed a critical skill in business today.
By the end of this course, students will be prepared to:
- Interpret how to use data to summarize, visualize and develop insights
- Effectively use optimization to support decision-making in the presence of a number of alternatives and business constraints
- Identify, evaluate, and capture business analytic opportunities that create value
- Explain data visualization principles and guidelines for effective analysis and presentation
- Develop and interpret a wide range of visualizations in Tableau
- Communicate persuasive, data-driven business insights
MISY 4370: ERP Overview
Duration: 8 Weeks weeks
Credit Hours: 3
This course introduces students to SAP, an enterprise application software that runs on large database systems, which is widely used by large corporations. In this overview course, students will learn business processes in different modules of SAP with a focus on supply-chain processes; purchasing, materials management, production planning, and sales and distribution. Students will have ample opportunity to perform business transactions on SAP servers to gain a deeper understanding of business process integration.
At the end of this course students will be able to:
- Explain the fundamental business processes used to run companies
- Show the positive impacts integrated processes and integrated information systems have on
business efficiency and shareholder value - Identify the ERP modules found in software such as SAP, and see how the business processes
are modeled in the software - Describe current challenges faced by professionals involved with ERP systems and provide a
basis for thinking through those challenges
MISY 3321: Spreadsheets for Business Analytics
Duration: 7 Weeks weeks
Credit Hours: 3
This hands-on course will teach students the art of modeling to build, refine and analyze problems for decision-making. Students will use industry standard spreadsheet software for creation and analysis. topics include forecasting, linear and nonlinear optimizations and decision analysis. Projects from all business fields will be used for extensive practice and real-world applications.
Students who successfully complete this course will be able to:
- Understand the key elements of the global business environmen.
- Analyze the impact of political, economic, social and technological factors on international business
- Develop effective cross-cultural communication skills
- Gain insights into how cultural differences can affect business negotiations and relationships
- Gain practical exposure through visits to local businesses and multinational corporations
- Connect theoretical knowledge with real-world business practices
- Enhance language skills relevant to business communication in the host country
- Immerse in the local culture to understand the cultural nuances that impact business interactions
- Foster a global mindset and appreciation for diversity
- Conduct a research project on a relevant international business topic
- Develop analytical and research skills applicable to global business challenges
- Engage with local business professionals and organizations
- Develop networking and professional skills for a global business environment
- Reflect on experiences and learnings throughout the study abroad program
- Foster personal and professional development
MISY 3300: Database Foundations
Duration: 8 Weeks weeks
Credit Hours: 3
Students will learn database design techniques, to design databases using a modeling tool and will be introduced to SQL to implement and query databases using hands-on, engaging activities.
Students who successfully complete this course will be able to:
- Explain database-related terms, concepts and components
- Analyze the standard database issues such as database requirements, ER modeling, relational
- modeling, database constraints, update anomalies, normalization, SQL, database front-end and data
- quality
- Apply software tools for database modeling and use SQL
- Discuss topics related to data warehouse and data mart
- Practice data warehouse modeling
- Analyze data warehouse implementation and use
MISY 3390: Data Mining
Duration: 8 Weeks weeks
Credit Hours: 3
This course provides students with an applied approach to data mining and predictive analytics with hands-on exercises and real-world examples. Students will be introduced to the concepts, methods and techniques of data mining. Students will learn to develop predictive models and obtain business value from Big Data using specialized data mining software.
By the end of this course, students will be prepared to:
- Identify data science methodology
- Explain data science methodology and relevant concepts
- Calculate data mining techniques to perform appropriate data analysis
- Uncover patterns and trends in data sets through hands-on analysis
- Discuss applications of data science
MISY 3310: Principles of MIS
Duration: 8 Weeks weeks
Credit Hours: 3
This course gives an overview of why information systems are so important today and how they are transforming organizations and management. The students will understand the relationship between the various types of information systems. They will learn to analyze the relationship between information systems and organizations. Also, students will learn how a database management system organizes information. Students would compare the various types of telecommunications networks and network services and become knowledgeable about new business applications, such as Enterprise Resource Planning (ERP), Supply Chain Management (SCM), Customer Relationship Management (CRM), and Knowledge Management (KM). The course also covers how the internet can be used for electronic commerce and for electronic business, how the internet is becoming the foundation for new business models, new business processes, and new ways of distributing knowledge. The students will develop proficiency in using application tools such as spreadsheet and database for development of Information Systems. In addition, the students are introduced to basic business transactions using SAP- a widely used Enterprise Resource Planning (ERP) software among the Fortune 500 companies.
Students who successfully complete this course will be able to:
- Describe how changes in businesses’ competitive landscape influence changing IS infrastructure
need - Discuss cloud computing and other current trends that can help an organization address IS
infrastructure-related challenges - Explain organizations’ needs for communication and collaboration
- Categorize the primary information systems components that enable open innovation
- Explain what intellectual property issues arise from engaging in open innovation
- Discuss how information systems can be used for automation, organizational learning and strategic
advantage - Identify the role of information systems and strategy in identifying a business model
- Utilize spreadsheet software to produce business documents
- Describe what enterprise systems are and how they have evolved
- Utilize the keys to successfully implement enterprise systems
General Education Core Curriculum
Communication - 6 Hours
Mathematics - 3 Hours
Life and Physical Sciences - 6 Hours
Language, Philosophy and Culture - 3 Hours
Creative Arts - 3 Hours
American History - 6 Hours
Government/Political Science - 6 Hours
Social/Behavioral Sciences - 3 Hours
Component Area Options - 6 Hours
POLS 2302: Introduction to American Government II
Duration: 7 Weeks weeks
COSC 1324: Introduction to Computer Game Development
Duration: 7 Weeks weeks
HIST 2301: Texas History
Duration: 7 Weeks weeks
HIST 1301: U.S. History I 1763 to 1877
Duration: 7 Weeks weeks
ECON 2302: Principles of Economics II (Micro)
Duration: 7 Weeks weeks
MATH 1324: Mathematics for Business and Social Science
Duration: 8 Weeks weeks
Credit Hours: 3
PHIL 2306: Ethics
Duration: 7 Weeks weeks
ECON 2301: Principles of Economics I (Macro)
Duration: 7 Weeks weeks
MUSI 1306: Music Appreciation
Duration: 7 Weeks weeks
COMM 1375: Film Appreciation
Duration: 7 Weeks weeks
MUSI 1309: Jazz History and Appreciation
Duration: 7 Weeks weeks
ENGL 1302: Composition II
Duration: 7 Weeks weeks
ENGL 1301: Composition I
Duration: 7 Weeks weeks
CHEM 1312: General Chemistry II
Duration: 7 Weeks weeks
GEOL 1390: Intro to Environmental & Physical Geology
Duration: 7 Weeks weeks
POLS 2301: Introduction to American Government I
Duration: 7 Weeks weeks
CHEM 1306: Chemistry for Allied Health Sciences
Duration: 7 Weeks weeks
COMM 1321: Business and Professional Speech
Duration: 7 Weeks weeks
ENGL 2300: Close Reading II
Duration: 7 Weeks weeks
SPSC 1301: Space Exploration
Duration: 7 Weeks weeks
ARTS 1301: Art Appreciation
Duration: 7 Weeks weeks
MUSI 1310: History of Rock & Roll
Duration: 7 Weeks weeks
DANC 2304: Dance Appreciation
Duration: 7 Weeks weeks
BIOL 2306: Environmental Science
Duration: 7 Weeks weeks
BUAL 2310: Business Analysis I
Duration: 7 Weeks weeks
CHEM 1308: Biochemistry for Allied Health
Duration: 7 Weeks weeks
CHEM 1311: General Chemistry I
Duration: 7 Weeks weeks
HIST 1302: U.S. History Since 1877
Duration: 7 Weeks weeks
Elective Courses
42 hours of technical or academic credit taken as part of completed AAS degree.
