Course Catalog

Golden Gate University offers degree and certificate programs at three teaching centers and online.

MSBA 300
Foundations of Business Analytics

Students will learn the principles, terminology, organizational roles, and application of data analytics in the business, along with the principles and challenges of data strategy and management. They will be introduced to the multi-faceted toolkit of data analytic tools, which will be presented in more detail via the curriculum. Time will be spent understanding the CRISP-DM methodology for developing usable analytics, and the implications of the Internet of Things. Corequisite: MATH 240 with a grade of "B" or better.

Units: 3 , Offered: Fall 2019 , Summer 2019 , Spring 2019

MSBA 301
Enterprise Performance Management And Metrics

Students will explore what is needed today to utilize all data (historical, descriptive, and predictive) and to convert such data into metrics that have meaning for management. You will learn and practice an integrated suite of enterprise-wide managerial methodologies and tools that link strategy objectives with tactics using data analysis. Practicing how to link strategy to planning, budgeting, customers, stakeholders, processes, costing, people and performance measures will be a major component of the coursework. Strategy mapping, balanced scorecards, and dashboards will be explored as tools to holistically drive the firm towards a successful completion of strategic goals. Prerequisite: MATH 240 with a grade of "B" or better.

Units: 3 , Offered: Fall 2019 , Summer 2019 , Spring 2019

MSBA 304
Managing Relational Structures

Introduces students to concepts and practices of contemporary structured database technologies and data systems, their design and deployment, and their use as operational and strategic tools. Students will develop knowledge of a broad range of data types, the database-management system (DBMS), and data modeling using entity-relationship diagrams. Students will learn the Structured Query Language (SQL) and the use of built-in functions in Business Analytics and Business Reports. Prerequisite(s): MSBA 300 or MBA 300. Cross-listed with and equivalent to ITM 304.

Units: 3 , Offered: Fall 2019 , Summer 2019 , Spring 2019

MSBA 305
Business Intelligence and Decision Support

Provides a comprehensive and in-depth coverage of design and implementation of Business Intelligence systems in a business enterprise context. Covers data integration (including ETL process), Data Warehousing (including OLAP and Big Data) and Business Intelligence (Data mining, data visualization). A focus of this class will be to recognize business problems and needs that can be addressed with BI methods, and the tools and processes necessary to implement BI systems from requirements definition and business justification to technical implementation. BI is also discussed in the context of Business Process Management (BPM) and process improvement methodologies, such as Six Sigma. Hands-on exercises will strengthen student's ability to utilize contemporary BI tools such as Dashboards, SAS VA and Enterprise Miner, Google fusion tables, and model based scenarios. Assignments are designed to combine graduate level research with experience-building transition from theory into tacit knowledge. Prerequisite(s): MSBA 300 or ITM 300.

Units: 3 , Offered: Fall 2019 , Summer 2019 , Spring 2019

MSBA 307
Analytics, Intelligence, Security & Privacy

Provides the basic knowledge needed to implement processes, tools and data analytics to assure business privacy and information security. The student will gain a strong footing to cope with the changes that are to come with the use and ever-growing reliance on computer technology, the evolution of the Internet of Things and the resulting explosion of data. Issues of privacy, ethics, risk, and compliance are addressed in the context of the greater visibility and public concerns associated with global connectivity, e.g. trans-border data flow, state sponsored hacking. Students will examine emerging data analytics tools and technologies, learning how to gather information security intelligence, protect information assets, against attacks, drive policies to strengthen the overall security posture of an organization, and understand how tools support continuous monitoring, real-time distributed analysis, and global risk and security management. Prerequisite: MSBA 300.

Units: 3 , Offered: Fall 2019 , Summer 2019 , Spring 2019

MSBA 320
Advanced Statistical Analysis With R & Python

Introduces students to advanced statistical theory, e.g. probability distributions, logistic regression, log transform, and time series, through the popular programming languages, Python and R. Students will explore the similarities and differences between these languages by performing complex data analysis using various statistical methods in a variety of business contexts. They will also have an opportunity to examine how these languages compare with SAS. Prerequisite: MATH 240 with a grade of "B" or better.

Units: 3 , Offered: Fall 2019 , Summer 2019 , Spring 2019

MSBA 321
Big Data Ecosystems

Introduces students to data frameworks supporting the building and manipulation of data sets that do not fit the standard relational database structure, i.e. very large data files and unstructured data. Students will learn how data from these data sets can be extracted, and transformed for workable solutions. They will be introduced to a selection of the tools and languages associated with building and managing Big Data structures, such as Hadoop, Hive, Spark, MapReduce, NOSQL, MongoDB, and others. Prerequisite: MSBA 300. Cross-listed with and equivalent to ITM 321.

Units: 3 , Offered: Fall 2019 , Summer 2019

MSBA 322
Master Data Management

Master data drives consistency of reporting across various business verticals within an organization. This course highlights key Master Data Management concepts, methodologies, and processes including definitions, types of master data projects, and the data mastering process. Prerequisite: MSBA 300.

Units: 3 , Offered: Summer 2019

MSBA 324
Web and Social Network Analytics

Focus is on the practice of business-oriented analytics by means of statistical methods, using statistical software R. The course introduces analytical techniques applicable for solving common business problems, techniques to analyze social media, and techniques to study data on web/app users. Apart from learning statistics and software R, students will be introduced to the concept of the Application Program Interface (API) in the context of data retrieval from Twitter, Facebook, and Google Analytics. Upon the course completion students are expected to be able to select the right statistical method corresponding to the business problem. Compute and interpret results of a statistical analysis and produce practical business recommendations. Prerequisite: MATH 240 with a grade of "B" or better and MSBA-320. Cross-listed with and equivalent to MKT 324.

Units: 3 , Offered: Fall 2019 , Summer 2019 , Spring 2019

MSBA 326
Predictive Analytics and Machine Learning

Designed to teach students the key concepts of predictive analytics used for deriving value from business data. Students will learn the concepts and techniques of cleaning and preparing data. They will gain an understanding of the algorithms of machine learning and learn to build predictive models using Python & SPSS Modeler. Topics include supervised learning, forecasting numeric values with regression, unsupervised learning, and additional tools to simplify noise from data. The course will also introduce optimization or prescriptive analytics, which gives options for the question "What do we do now?" Prerequisite: MSBA 300 and MSBA 320.

Units: 3 , Offered: Fall 2019 , Spring 2019

MSBA 327
Text Analytics

Course will cover practical techniques and strategies for analyzing text data to extract meaningful information, discover new patterns, and support decision making and hypothesis generation. It will introduce several text mining applications that apply to domain specific problems. Students will learn the complete set of steps involved in working with text data, from reading the text data to creating categories for additional analysis, and examining the relationships discovered using the text components of SPSS Modeler and other tools. The course will emphasize the importance of finding new ways to extract meaning from text through an "accelerated discovery" process implemented by the emerging IBM Watson cognitive systems. Prerequisite(s): MSBA 300 and MSBA 320.

Units: 3 , Offered: Fall 2019 , Summer 2019

MSBA 328
Data Visualization and Communication Through Storytelling

Addresses the need for presentations that report data analytics findings in a clear, actionable format. Multiple formats for presentation are reviewed for appropriateness to the audience. Students will be introduced to the design process and have the opportunity to learn design techniques. Students will learn techniques of storytelling through the development of storyboards. Additionally, they will learn how to design and implement dashboards in a business environment, based on sound data visualization principles and techniques. Students will work on a hands-on project for designing and developing visualizations using Tableau software. Prerequisite(s): MSBA 300, MBA 300, or ITM 300.

Units: 3 , Offered: Fall 2019 , Summer 2019 , Spring 2019

MSBA 395
Business Analytics Capstone

Provides the students an opportunity to demonstrate knowledge and skills gained through the degree program by analyzing and developing solutions to case studies representing real situations. In addition, each student is required to complete a field research assignment (practicum) in order to graduate. The Program Director will work with each student to determine their assignment. Prerequisite: All MSBA program courses, except the following, which can be taken concurrently with the capstone: MSBA 307, MSBA 321, MSBA 322, MSBA 328.

Units: 3 , Offered: Fall 2019 , Summer 2019 , Spring 2019

MSBA 396
Selected Topics in Business Analytics

Addresses significant, topical and practical problems, issues, and theories in business analytics. Topics are compiled and selected by the department chair. This course may be taken more than once, provided the same topic is not repeated. Prerequisites will vary based on topic.

Units: 3

Capstone With Practicum

This course serves as the program capstone and practicum. Students will apply knowledge and skills acquired in the degree program to address business scenarios compiled and directed by department faculty, and approved by the department chair. As a requirement of graduation from the program, each student will also undertake a field research project (practicum)examining the application of analytics in local companies. Prerequisite: MSBA 300, 301, 304, 305, 320, 321, 324, 326, and 327.

Units: 3

MSBA 399
Directed Study

Provides an opportunity for the advanced student with a specific project in mind to do reading in a focused area and to prepare a substantial paper under the direction of a faculty member. Only one directed study course may be taken for credit toward a master's degree. Prerequisite: consent of the department.

Units: 3 , Offered: Fall 2019