ADMISSION REQUIREMENTS

• Learn about admission to the Bachelor of Science in Data Analytics

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 SOSC course)

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

Applied Regression Analysis

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

Creating Dashboards & Scorecards

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.