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Applied Science: Informatics
UA South's small campus atmosphere offers students the advantage of individualized instruction and support while also providing access to the resources of one of the top-ranked research universities in the nation.
The Bachelor of Applied Science with an emphasis in Informatics introduces students to the core idea of informatics in a discipline-independent form. Students in the Informatics program will be prepared for careers in software development, network management and planning, marketing, or technology management.
The term Informatics describes the study and practice of creating, storing, manipulating and sharing information. It uses computation as a universal tool to solve problems in other fields, communication, and to express ideas. Informatics students develop a strong base of theoretical and practical interdisciplinary experiences.
The Informatics program is designed for students transferring approximately 60 units from a regionally accredited institution. The program requires additional materials during the application process. The minimum entrance requirements include:
- Minimum 2.5 GPA
- AAS degree from a regionally accredited institution or employment background in IT field
- Goal Statement
Please contact us if you have any questions about the transferability of your credits, you admissibility to the program, or the application process. For full application instructions, please visit http://uas.arizona.edu/admissions.
UA South maintains a variety of tools to help you plan your education. We include them here for your reference. To make a personalized plan for your UA South education, contact us!
In addition to Foundations, General Education, and your Major coursework, Bachelor of Applied Science programs share a common core of six courses designed to meet employer needs and strengthen your academic skills culminating in a capstone experience in your major field.
UA Degree Search provides an overview of the major, four year plans, transfer pathways, and career opportunities:
- Digital Design Track
- Information Management Track
- Software Development Track
- System Administration Track
Transfer Pathway Agreements guide students who are earning specific community college degrees and allow students to complete an Associate of Applied Science degree at any Arizona community college to transfer seamlessly into the Bachelor of Applied Science degree at The University of Arizona South. Specifically, UA South has partnership agreements with Arizona Western College, Central Arizona College, Cochise College, Maricopa Community College District, and Pima Community College. Find the right AZ degree pathway for you through AZTransfer. Students can also transfer from other institutions and should contact an academic advisor to find out how!
All prospective students are encouraged to speak with an academic advisor for an unofficial evaluation of their transfer credit, including military credits, to ensure the timely and cost efficient progress towards their Bachelor’s degree.
Academic Advisement Reports are the official degree audits for UA students once they have been admitted into their chosen major. The Informatics report contains lists of applicable classes to be used to satisfy graduation requirements. Current UA students can access their personalized Advisement Report in UAccess Student Center under the Academics menu.
Courses combine hands-on activities in online lab environments with a strong academic educational experience. Some courses have required live online synchronous sessions noted in the Schedule of Classes (when the entire class logins in at the same time). Courses in the major include:
- INFV 302 Statistics in Information Age
This course provides an introduction to descriptive and inferential statistics. It also presents an introduction to data complexity, uncertainty and variation in information age and discusses techniques for interpreting the data. Upon completing this course, students will be able to:
- Understand and evaluate descriptive and inferential statistics on quantitative data;
- Describe the properties of probability;
- Understand and evaluate visual methods of communicating statistics; and
- Collaborate with other students to understand statistics and solve problems
- INFV 320 Computational Thinking and Doing
This course covers basics of programming and techniques used by computing professionals in a variety of application areas. Topics include computation, programs, algorithms, programming languages, complexity, and computability. The course also explores how these concepts and techniques are applied in Informatics. Upon completing this course, students will be able to:
- Define and identify Computer Science terms and concepts in Computational Thinking;
- Analyze and estimate what and how computers do program operations in at least two programming languages (Python and Bash); and
- Apply Computational Thinking to solve problems and design systems in practical applications.
- INFV 401 Human Computer Interaction
This course is a beginning level exploration of human-computer design, interaction and interfaces. The students will be introduced to the theory of human-computer interaction (HCI) as well as to the principles of effective visual design using user experiences. This course utilizes a variety of educational activities to deliver and assess understanding of the course content and covers many topics. On completing this course, students will
- Have participated in each step of the interaction design process;
- Be familiar with the vocabulary, tools, and methodologies of an interaction designer and know the role of each member of an interaction design team; and
- Understand how human-computer interaction fits in the larger topic of interaction design.
Software Development Track
- CSCV 337 Web Programming
- Use HTML5 and CSS to layout web pages;
- Use PHP to provide access to server side programming for file and database access; and
- Develop and deploy dynamic web applications.
Information Management Track
- INFV 361 Data Analysis and Visualization
This course will lay a foundation for students to understand how to process, analyze, and visualize data. Topics include data collection and integration, exploratory data analysis, statistical inference and modeling, machine learning, and data visualization. The emphasis of the course is on integration and synthesis of concepts and their application to solving problems. Students will explore these topics using software tools. On completing this course, students will be able to
- Use a programming language to carry out basic statistical modeling and analysis;
- Apply basic machine learning algorithms for predictive modeling; and
- Create effective visualization of given data to communicate or persuade
System Administration Track
- NETV 370: Introduction to Network Design and Architecture
This course is an introduction to modern network design and architecture. Students will learn modern network design and network architecture concepts, security in modern networks, the cost of modern networks, software defined networks (SDN), network virtualization framework (NVF), quality of service (QoS) and quality of experience concepts (QoE), Internet of Things (IoT) and Cloud infrastructures. On completing this course, students will be able to
- Understand and design modern networks;
- Understand modern network virtualization concepts;
- Understand SDN, IoT, QoE, QoS networks and infrastructures;
- Understand SDN data plane, control plan, and OpenFlow functions and requirements;
- Understand SDN, NVF, Cloud, and IoT security requirements.
Digital Design Track
- ETCV 403 Principles of Web Design
This course addresses concepts of web design using multimedia, visual, communication and interaction principles. The course will touch on aspects of communications and media, software development, information architecture, content development, user experience design, graphic design, project management, and instructional design. Students are introduced to web authoring, design solutions and emerging technologies. At the end of this course, students will be able to
- Plan, design, and create multipage websites using HTML5 and CSS3, the current standards for web development.
- Develop a foundation for further learning in topics such as programming front-end website interactions, mobile site development, and human interface design.