BSISDA Catalog for Degree Completion

Overview

Catalog for Degree Completion — BS in Information Science and Data Analytics

BS in Information Science and Data Analytics

The Bachelor of Science in Information Science and Data Analytics (BSISDA) offered by the School of Information, prepares students to work with data, technology, and people.

BSISDA majors attain skills that are applicable to a variety of careers involving analytics, visualization, big data, digital curation, digital assets management, knowledge management, information architecture, documents and records management, health care, education, and emerging technologies—all geared toward the information needs of users.

Information Science and Data Analytics graduates are utilized by organizations to organize data and interpret the significance of data in a way that can be easily understood and used by others. They focus on what a person can do with an app rather than what an app does.  Graduates will do the following:

Data

  • Handle structured data (data that is clearly defined and easily searchable) and unstructured data (data that is not easily searchable such as email, audio, video, and social media postings).
  • Analyze and visualize data.
  • Work with software tools used in a real-world setting.
  • Understand the general concepts behind how networks and computers process, store, and secure information.

Technology

  • Understand distributed computing and the data pipeline ecosystem.
  • Track emerging technologies (such as artificial intelligence, blockchain, AR/VR,
  • Voice-based Assistants) and the ethics of their use and development.

 People

  • Understand how people from diverse audiences interact with, use and relate to information and data to make data-driven decisions and solve problems.
  • Present information and data in an engaging and useful way to help users from diverse backgrounds and cultures tell stories and solve problems.
  • Ensure that the system holding the data complies with policies and ethical and legal considerations of society and the user.

Program Learning Outcomes

Upon completion of the BS in Information Science and Data Analytics program, students will be able to:

A. Apply information and data science concepts and methods by thinking critically and creatively to conceptualize and solve real world problems.

B. Demonstrate an understanding of the data lifecycle, including data curation and stewardship. distributed computing, and the data pipeline ecosystem.

C. Demonstrate an understanding of professional and ethical responsibility in data ownership, security, sensitivity of data, and consequences and privacy concerns of data analysis.

D. Demonstrate an ability to identify user-centric information and data needs of diverse populations and to interpret data findings effectively to diverse audiences, orally, visually, and in written formats.

E. Demonstrate an understanding of how people from diverse backgrounds and cultures interact with technology and with each other in technological contexts; and how to plan strategically for emerging technologies and the changing technological landscape.

Program Requirements

All applicants are required to meet the following requirements:

Completion of at least 60 transferable semester or 90 quarter units.

Grade point average of 2.0 or better.

Completion of all four CSU-approved General Education requirements with a C- or higher.

  • (A1) Oral Communication/Speech
  • (A2) Written English Composition
  • (A3) Critical Thinking/Logic
  • (B4) Math/Quantitative Reasoning (above the level of intermediate algebra)

The following courses must be taken prior to admission to the major in order to ensure the correct skill set. These can be taken at any community college or any university. Courses must be passed with a grade of C- or better.

Query Languages (1 unit)

  • One of the following: mySQL PL-SQL, or Oracle

Mathematics (3 units)

  • Calculus or Elementary Statistics

Programming (2 unit)

  • One of the following: Python, or R

Web Development (2 unit)

  • A course that covers HTML5/CSS/JavaScript (including an understanding of the /difference between server-side web pages, single page apps (SPAs), server-side rendering (SSR), and progressive web apps (PWAs))

Computer Operating Systems (including Linux) (1 unit)

Program Delivery

The program is delivered completely online via Canvas. Classes will be delivered asynchronously. Where needed, virtual labs will be used.

Summary of Degree Units

Summary of Degree Units

University Graduation Requirements

12*

Major Requirements

36

Electives

12

Total

60

*The School of Information will work with departments offering Area R, S, V, Z classes to arrange special session online sections so students can meet these requirements.

University Requirements for Graduation

Students must complete all residency, curriculum, unit, and GPA requirements as outlined in the Undergraduate Graduation Requirements section of the Policies and Procedures.

Program Roadmaps

The 2-Year and 3-Year Roadmaps are available online. Roadmaps should be used in consultation with the catalog and your advisor to identify additional requirements for completing the major (for example, course grade minimums). Associate Degrees (ADT) Pathways are also available online.

Major Requirements (36 units)

  • ISDA110 Online Learning: Tools and Strategies for Success (1 unit)
  • ISDA 100 Technical Writing for Information Professionals (3 units)
  • ISDA 110 Technology, Culture, and Society (3 units)
  • ISDA 111 Information and Data Science (3 units)
  • ISDA 140 Big Data Analytics and Management (3 units)
  • ISDA 141 Information Visualization (3 units)
  • ISDA 130 User Centered Interface Architecture and Prototyping (3 units)
  • ISDA 131 Information Architecture (3 units)
  • ISDA 120 Information Security (3 units)
  • ISDA 121 Human Centered Cybersecurity (3 units)
  • ISDA 122 Privacy, Security, Ethics (2 units)
  • ISDA 123 Information Assurance (2 units)
  • ISDA 170 The Emerging Future: Technology Issues & Trends (4 units)

All classes are infused with hands-on, real-world, collaborative projects to support students developing portfolios that demonstrate their knowledge and skills. Where necessary, students will have access to virtual labs such as INFOSEC, Amazon Web Services, Google Cloud Computing.

Upper Division Electives (12 units)

Electives can be selected from upper-division courses in other departments or from approved graduate courses in the School of Information in areas such as Health Data Analytics, Enterprise Content Management and Digital Preservation, Digital Curation, Digital Assets Management, Digital Forensics, Crisis/Disaster Informatics, Problem Solving with Data. If electives from the School of Information graduate courses are used to meet the elective requirements, the courses can only be used for the bachelor’s degree and cannot be later applied to any graduate degree.