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Data Analytics, BS

Program at a Glance

Program

Data Analytics, BS

Format

Hybrid, Online

Total Units

120

Requirements

No SAT or ACT
Required

Program Overview

Data Analytics is a technically-oriented program that will help students build a tool-set of data analytics skills. Students will gain real-world, practical training from leading-edge industry professionals who place data analytics within a business and enterprise context, ensuring that students become well-rounded professionals themselves. This program will help the adult undergraduate student acquire an understanding of, and competency in, current trends in data analytics, applying them to generate insights from data in a variety of business and organizational contexts. Students will learn about Big Data, master the technical aspects of data analytics, and understand the relevance of this type of analysis to business and organizations. Students will benefit from a curriculum that leverages critical thinking, information literacy, and effective communication skills to help students increase their professional marketability. These skills will advance students’ ability to analyze business problems, put those problems in perspective, and clearly communicate insights gained from data analyses.

GGU is excited to offer six new nine-unit data analytics certificates that can be completed in as little as one semester. Learn in-demand skills in with some of the most-used tools: Tableau, HQL, Python, R, SAS, and SQL.

Curriculum

The degree requires completion of 120 units as follows: 36 units of general 48 units for the major, and 36 units of elective courses,, including courses taken toward minors. (See Declaring Minors below for more information.) Each course listed carries three semester units of credit, unless otherwise noted. A cumulative grade-point average of 2.00 “C” or higher is required in all courses taken at Golden Gate University.

All degree-seeking undergraduate students must complete their English, mathematics and critical thinking requirements within their first 27 units at Golden Gate University, unless they have already earned credit for the equivalent courses from another institution and have had those courses accepted in transfer by Golden Gate University. If either Math or English requirements for the degree have not been satisfied, newly enrolled students must take placement tests to ensure proper placement in the appropriate Math or English course. Students may also choose to waive the placement tests and enroll in the first course in either series, which are ENGL 10A and MATH 10. (See the course descriptions below to identify courses that have prerequisite course requirements.)

Declare a Minor

At GGU, you’ll have the opportunity to add up to two minors to your bachelor’s degree. We offer 15 minors in a variety of fields, so you can choose to specialize your education with courses that fit your interests and career goals.

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Learning Outcomes

Students who complete the Bachelor of Science in Data Analytics, including the general education program, will be able to:

  • Understand and apply the fundamentals of data analytics to real-world business problems.
  • Leverage familiarity with the appropriate use of key analytic languages/methods/tools, including R, Python, SQL, NOSQL, SAS, and Tableau, to address business problems, and be able to articulate the advantages and limitations of each one in a variety of business and organizational contexts.
  • Demonstrate ability to identify, acquire, cleanse and effectively organize data for analysis.
  • Demonstrate a critical understanding of the utility of data analytics tools using data visualization methods in extracting value from data sets.
  • Recognize the various challenges (social, economic, and political) represented by the Big Data ecosystem and describe the use of supporting technologies to address these challenges.
  • Explain the differences between structured and unstructured data and be able to deploy them appropriately, aligning the use of each with relevant business applications.
  • Describe the different approaches to machine learning and the implications of each one, demonstrating the application of the most common algorithms.
  • Explain the use of Natural Language Processing, identifying and implementing potential applications and appropriate supporting tools.
  • Use storytelling with visual outcomes from analytics to communicate effectively to members of the business community and others, both expert and non-expert, in a variety of settings and formats.
  • Demonstrate an understanding of the business implications, relevance and applicability of data analytics and statistical inferences.
  • Identify opportunities, needs and constraints for data analytics within organizational contexts.

Undergraduate Honors Program

The School of Undergraduate Studies’ honors program provides opportunities for students enrolled in all degree programs to engage in enriched learning experiences while they work toward earning their degrees. Students do not need to apply separately for this program, but may participate in it by registering for honors-designated course sections, as described below. Upon graduation, students who have completed the honors program must complete and submit the Honors Program Notation Request form to the Registrar’s Office to have the notation added to their transcripts.

Honors-designated course sections will emphasize the following learning outcomes: media and information literacy, quantitative fluency, oral/written communication, and critical thinking. Students will be required to complete advanced and more rigorous assignments that demonstrate learning beyond the articulated course outcomes. Additional assessments will be designed to emphasize core skills such as critical thinking, writing, research, and self-reflection.

To complete the honors program, students must complete any combination of 12 units (four 3-unit courses) of honors-designated sections and an honors-designated capstone course section (3 units) for a total of 15 units, with a minimum GPA in the five honors courses of 3.00 and a minimum overall degree program GPA of 3.30. Note: honors course sections can be identified in the online course schedule with a section prefix beginning with the letter “A” (e.g., ASF1) and by information in the section comments field of the section details page. Students should contact their academic advisor or the Registrar’s Office if they need help identifying honors-designated course sections.

Honors sections of the courses below will be offered every term. In addition, students who transfer any of these courses into GGU may petition to have an honors section offered of other courses in order to satisfy the 12-unit requirement. Students should contact their academic advisors to begin the petition process.

Core Requirements – 12 Units Capstone Course – 3 Units

Complete the honors section of the capstone course applicable to the student’s degree program.

Learn More About the School of Undergraduate Studies

Our programs promote student employability, adaptability, insight and lifelong learning through comprehensive and on-going support. We provide coursework in the liberal arts as a strong educational foundation for lifelong learning, emphasizing the relevance of communication skills, critical thinking, information literacy and other essential skills to practical business and organizational applications.

Go to the School of Undergraduate Studies

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