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.
Requirements for the Bachelor of Science in Data Analytics
The degree requires completion of 123 units as follows: 39 units of general education
coursework (including 21 units of liberal studies core), 54 units required for the
major (including 9 units of foundation courses, 15 units of business courses, and
30 units of data analytics courses), and 30 units of general elective courses. 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.)
TOTAL UNITS — 123
39 GENERAL EDUCATION UNITS
REQUIRED - 18 UNITS
- UGP 10
- Gateway to Success (to be taken in the first term of the program)
- CRTH 10
- Critical Thinking
- ENGL 1A
- Expository Writing
- ENGL 1B
- Research Writing
- ENGL 120
- Business Writing
- AND
- one of the following:
- COMM 35
- Speech Communication
- COMM 40
- Understanding Communication
LIBERAL STUDIES CORE - 21 UNITS
- ARTS 50
- Contemporary Arts & Culture (or any other ARTS course offered)
- HIST 50
- Contemporary American Economic History (or any other HIST course)
- HUM 50
- Examining the Humanities (or any other HUM course)
- LIT 50
- Principles of Storytelling (or any other LIT course)
- PHIL 50
- Professional & Personal Ethics (or any other PHIL course)
- SCI 50
- Science, Technology & Social Change (or any other SCI course)
- SOSC 50
- American Government in the 21st Century (or any other SOSC course)
- OR
-
- PSYCH 10
- Psychology for Personal & Professional Success (or any other PSYCH course)
MAJORREQUIREMENTS — 54 UNITS
FOUNDATION - 9 UNITS
- MATH 30
- College Algebra
- MATH 40
- Statistics
- MATH 104
- Quantitative Fluency for Business Managers and Leaders
BUSINESS - 15 UNITS
Any five of the following:
- FI 100
- Financial Management
- MGT 100
- The Manager as Communicator
- MGT 140
- Management Principles
- MGT 145
- Law of Contracts, Sales, & Commercial Transactions
- MGT 179
- Introduction to International Business
- MKT 100
- Principles of Marketing
- OP 100
- Principles of Operations Management
DATA ANALYTICS - 30 UNITS
- DATA 50
- Introduction to Business & Data Analytics
- DATA 101
- Data Visualization for Business
- DATA 102
- Business Intelligence & Data Mining
- DATA 103
- Data Analytics Using SAS
- DATA 104
- Introduction to Social Media Data Analytics
- DATA 110
- Introduction to Machine Learning & Natural Language Processing
- DATA 115
- Introduction to Relational Databases & SQL
- DATA 120
- Introduction to Big Data
- DATA 125
- Artificial Intelligence in Business
- DATA 190
- Capstone
ELECTIVE COURSES - 30 UNITS
Ten 3-unit upper or lower-division courses from any subject.
Each course listed carries three semester units of credit, unless otherwise noted.
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.
MANAGEMENT, HUMAN RESOURCES AND INTERNATIONAL BUSINESS DEPARTMENT
- Tina Jackson, Senior Adjunct Professor
- Patricia Knight, Adjunct Professor
- Steven Lee, Adjunct Professor
- Christopher Lynch, Adjunct Professor
- Roldan Mallorca, Adjunct Professor
- Alan R. Roper, Senior Adjunct Professor
- Walter Stevenson, Professor
- Jan Wilson, Senior Adjunct Professor
- Jeffrey D. Yergler, Associate Professor, Management & Department Chair, Management
View All Undergraduate Faculty
