Bachelor of Applied Arts and Sciences – Emphasis in Data Analytics Online

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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 data analytics degree 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.

Apply Now

Need More Information?

Call 866-223-7675

Call 866-223-7675

Tuition

Learn about tuition for the BAAS Data Analytics program

The following is the tuition breakdown for students pursuing their bachelor's degree in data analytics online. Our affordable, pay-by-the-course tuition helps you keep your education costs in check.

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 coursesProgram Start DateApplication DeadlineDocument DeadlinePayment DueLast Class Day
Fall 18/18/267/28/268/4/268/11/2610/9/26
Fall 110/12/269/21/269/28/2610/6/2612/10/26

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.

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
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
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
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
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
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
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
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
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

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

Duration: 7 Weeks weeks
Credit Hours: 3
The legislative, executive and judicial branches and the bureaucracy; policy formulation and implementation including civil rights and civil liberties, domestic and foreign policies.
Duration: 7 Weeks weeks
Credit Hours: 3
The synthesis of computer games with a focus on the artistic elements of games, including graphics, animation, audio and narrative.
Duration: 7 Weeks weeks
Credit Hours: 3
Texas history from the beginning to the present time.
Duration: 7 Weeks weeks
Credit Hours: 3
United States history from the revolutionary period through Reconstruction.
Duration: 7 Weeks weeks
Credit Hours: 3
Introduction to economic principles; allocation of resources; determination of output and prices; distribution; and managerial economics. Restriction(s): Students with a class of Freshman may not enroll.
Duration: 8 Weeks weeks
Credit Hours: 3
This course will introduce students to the basics of mathematics used in business and social sciences. The course will cover the application of common algebraic functions, including polynomial, exponential, and logarithmic, to problems in business, economics, and the social sciences are addressed. The applications include mathematics of finance, including simple and compound interest and annuities; systems of linear equations; matrices; linear programming; and probability, including expected value.
Duration: 7 Weeks weeks
Credit Hours: 3
A historical examination of theories and principles of social and personal conduct ranging from Plato and Aristotle to Mill and Nietzsche. Applications to current issues. Prerequisite(s): ENGL 1301
Duration: 7 Weeks weeks
Credit Hours: 3
A survey of the field of film with emphasis on current trends in cinema, past and present directors, and the historical development of film. Satisfies the Fine Arts core curriculum requirement.
Duration: 7 Weeks weeks
Credit Hours: 3
Emphasizes monetary theory; national income analysis; fluctuation and growth; public finance; international trade; and current economic problems. Restriction(s): Students with a class of Freshman may not enroll.
Duration: 7 Weeks weeks
Credit Hours: 3
Survey of music. Covers the major style periods from the Renaissance to the present with emphasis on the development of basic listening skills and critical thinking. Requires attendance at instructor-specified recitals or concerts.
Duration: 7 Weeks weeks
Credit Hours: 3
A survey of the development and history of Jazz as a musical form from its origina in earlier styles to the present. Covers the major styles and musicians with an emphasis on the development of basic listening skills and critical thinking. May require attendance at instructor specified recitals or concerts.
Duration: 7 Weeks weeks
Credit Hours: 3
Forms of expository and analytical writing. Topics for composition suggested from wide reading in at least two of the three genres: prose fiction, poetry, and drama. Research paper required. Prerequisite(s): ENGL 1301
Duration: 7 Weeks weeks
Credit Hours: 3
Basic forms of expository writing. Frequent themes. Collateral reading in articles and essays of a factual and informative type. This course is prerequisite to ENGL 1302 and 1374.
Duration: 7 Weeks weeks
Credit Hours: 3
A continuation of CHEM 1311. Theories of solutions, equilibrium, thermodynamics and kinetics. Prerequisite(s): (CHEM 1311 and CHEM 1111) or CHEM 1411
Duration: 7 Weeks weeks
Credit Hours: 3
The national and Texas constitutions; federalism; political socialization and participation; public opinion and interest groups; parties, voting and elections.
Duration: 7 Weeks weeks
Credit Hours: 3
Survey of elementary inorganic/organic chemistry and gas laws for allied health science majors.
Duration: 7 Weeks weeks
Credit Hours: 3
This course is an introduction to the relationship between human activities, geologic resources and processes and environmental quality. Topics include the relationship between human populations and geologic hazards, as well as how human activities may increase the chances of geologic hazards occurring. Emphasis will be from the geologic perspective, but will include all basic sciences. Field trips are an integral part of this course.
Duration: 7 Weeks weeks
Credit Hours: 3
Application of the fundamentals of speech production to the needs of the professional person. For non-communication majors only.
Duration: 7 Weeks weeks
Credit Hours: 3
A close reading of related themes, authors or periods and/or a close viewing of films with related themes or makers. The course will focus on literature, the arts, politics, philosophy or culture. It will not take the place of other 2000 level courses that require ENGL 1301 and 1302. It will not take the place of ENGL 1302. It is intended for students who do not take 6 hours of composition. Prerequisite(s): ENGL 1301
Duration: 7 Weeks weeks
Credit Hours: 3
An introductory course emphasizing the understanding and appreciation of visual arts (painting, sculpture, and architecture).
Duration: 7 Weeks weeks
Credit Hours: 3
This course is intended to provide a basic understanding of many aspects of space exploration, including discovering the physical make-up of the universe and evidence surrounding its origin, learning the discoveries made in the solar system and evidence surrounding its origin. This course in addition to lecture material will include a class project to assess teamwork skills.
Duration: 7 Weeks weeks
Credit Hours: 3
A survey of the development and history of Rock Music from its origins in earlier styles up to the present. Covers the major styles and musicians with an emphais on the development of basic listening skills and critical thinking. May require attendance at instructor-specified recitals or concerts.
Duration: 7 Weeks weeks
Credit Hours: 3
A survey of the art of dance and its role in world cultures, history and current issues.
Duration: 7 Weeks weeks
Credit Hours: 3
An introduction to contemporary environmental issues and human interactions with ecosystems. Not to be used as a biology major course.
Duration: 7 Weeks weeks
Credit Hours: 3
Introduction to the quantitative methods of analysis as applied to business problems. Topics of study include collection of data, statistical description, probability theory, probability distribution, sampling theory, estimation of parameters and testing hypothesis. Prerequisite: MATH 1325.
Duration: 7 Weeks weeks
Credit Hours: 3
Elementary survey of structure, function and metabolic processes of molecules in organisms. Designed for students majoring in health sciences. Prerequisities: CHEM 1306 and CHEM 1106
Duration: 7 Weeks weeks
Credit Hours: 3
Algebra-based review of chemical laws and theory for science, engineering and preprofessional majors. Prerequisite(s): MATH 1314 or MATH 2311 Prerequisite(s)/Corequisite(s): MATH 2312 or MATH 2413
Duration: 7 Weeks weeks
Credit Hours: 3
United States history from the post-Reconstruction period to the present.

42 hours of technical or academic credit taken as part of completed AAS degree.

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