Business Analytics, MS
Info Session: MS in Business Analytics
October 20, 2025 | 12:30pm PT
Join us for a 30-minute virtual info session on Golden Gate University’s MS in Business Analytics program.
Designed for professionals seeking to turn data into strategic decisions, GGU’s MS in Business Analytics program offers hands-on experience applying analytics to real-world business challenges.
During this session, you’ll hear directly from the program director about curriculum details, as well as admission process, and deadlines. Don’t miss this opportunity to transform your career with advanced analytics skills. Register today!
Program at a Glance
Program
Business Analytics, MS
Format
Online, Hybrid, On Campus
Total Units
36
Requirements
No GMAT or GRE Required
Fall ’26 Early Application Deadline
July 5
Program Overview
Big Data for Big Business
Data Analytics is a field of explosive growth and burgeoning opportunity. As organizations scramble to find qualified employees, savvy professionals are looking to cash in on the demand by establishing themselves in the field. Golden Gate University’s Master of Science in Business Analytics (MSBA) program opens the door to this lucrative world by providing courses that are designed for application of analytics to address real-world business challenges.
The Master of Science in Business Analytics presents students with an understanding of the many possibilities for applying data analytics to business problems. Data analytics, and the implications of this strategic discipline, give practitioners new opportunities for discovering insights that can support the strategic goals and decision making of the organization. The discipline has grown so fast that it is impossible to address all of its elements, so this degree should be viewed as a “toolkit” of statistical and analytic theory, processes, tools, and techniques, which can be integrated into the business depending on the discipline and needed outcomes.
The MSBA is relevant to multiple audiences, including: the business manager charged with using data analytics to derive value from data and/or leveraging analytics teams to get that value; the subject matter expert in a business discipline charged with using analytics on the job; the budding business analytics data scientist requiring understanding of a myriad of data analytics tools; and the IT professional responsible for supporting the analytics infrastructure and addressing issues of data security, privacy and ethics. Students completing the MSBA will have earned 39 units including three units of graduate statistics.
Watch the Info Session
In this virtual info session, we explored Golden Gate University’s MS in Business Analytics program—designed for professionals eager to turn data into strategic decisions.
Admission Requirements
Proficiency Requirements
Writing Proficiency
Students are expected to possess proficiency in writing to ensure they can be successful in their course of study. Students may meet this requirement by satisfying one of the screening criteria listed under Graduate Writing Proficiency Requirement.
Curriculum
The Master of Science in Business Analytics requires completion of 30 units in the graduate program, with a cumulative grade-point average of 3.00 or better in courses taken at Golden Gate University that are applicable to the program’s requirements. For further information regarding graduation requirements, see Academic Requirements for Graduate Programs.
Graduate Tuition
The tuition for most graduate degree programs at Golden Gate University is $1,090 per unit, covering the cost of high-quality, career-focused education led by experienced faculty. This investment supports essential resources, including personalized academic advising, state-of-the-art technology, and student services designed to help adult learners succeed.
Program Information
The Master of Science in Business Analytics (MSBA) equips students with the knowledge and skills to leverage data analytics and artificial intelligence (AI) to address complex business challenges and drive strategic decision-making in the modern enterprise. In an increasingly AI-driven economy, organizations are transforming how they collect, analyze, and act upon data to gain competitive advantage, automate processes, and create new sources of value.
The program introduces students to the expanding landscape of data-driven and AI-enabled decision systems, where analytics, machine learning, and intelligent automation work together to generate insights, support predictive modeling, and guide decision-making. Students learn how to translate data into actionable intelligence that informs strategy, improves operational efficiency, and enhances organizational performance.
Given the rapid evolution of analytics technologies, the MSBA program is designed as a flexible and future-oriented program that integrates foundational analytic theory, machine learning concepts, data management practices, and modern analytics platforms. This program approach enables graduates to adapt to new tools, technologies, and analytical methods as they emerge, ensuring long-term relevance in a dynamic technological environment. This program is a STEM-designated degree program.
Student Learning Outcomes
Graduates of the Master of Science in Business Analytics degree program will have the knowledge and skills to:
- Explain and apply the foundational concepts, frameworks, and methodologies underlying business analytics, including data-driven decision-making, and analytical problem formulation.
- Develop advanced knowledge of AI technologies and their emerging, evolving, and disruptive applications in diverse business contexts.
- Explain and apply data governance, data management, and data strategy frameworks that support organizational performance, regulatory compliance, and data quality.
- Acquire, integrate, cleanse, and analyze large-scale data to support advanced data analytics and AI applications.
- Apply descriptive, diagnostic, and predictive analytics techniques to analyze complex business problems and generate actionable insights.
- Develop, evaluate, and deploy machine learning models and AI-based solutions to support business decision-making.
- Leverage generative AI, large language models (LLMs), and intelligent automation, including agentic AI, to augment business analysis, knowledge discovery, and operational workflows.
- Explain and apply analytics-driven decision systems that integrate forecasting, optimization, simulation, and scenario analysis to support strategic and operational planning.
- Communicate analytical insights effectively using advanced data visualization, storytelling, and executive-level decision support tools.
- Evaluate and mitigate risks related to data privacy, cybersecurity, algorithmic bias, and regulatory compliance in AI-enabled systems.
- Translate organizational challenges into AI and analytics solutions and lead cross-functional initiatives that promote data-informed decision cultures.
Request Information
Request Information
