A comprehensive graduate program providing the knowledge and skills needed to apply data analytics to real-world business issues.

PROGRAM HIGHLIGHTS

The purpose of the Master of Science in Business Analytics (MSBA) degree program is to present 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 (SME) 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 from which to draw, 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.


LEARNING OUTCOMES

Graduates of the Master of Science in Business Analytics will be able to:
  • Explain the differences between structured and unstructured data, aligning each with appropriate business applications.
  • Articulate and align with corporate performance, the complexities of data management, including organizational structures, data policy, data governance, data ownership, and data strategies.
  • Explain and give examples of the three analytic disciplines of descriptive, predictive, and prescriptive (optimization).
  • Identify and explain the steps of the CRISP-DM process model.
  • Anticipate challenges to data security, privacy and ethics, recommending reasonable solutions to issues when they occur.
  • Recognize the challenges of Big Data and describe the use of supporting technologies.
  • Use visual outcomes of analytics to communicate effective messages to members of the business community.
  • Describe the different approaches to machine learning, demonstrating application of the most common algorithms.
  • Explain Natural Language Processing, identifying potential uses and challenges.
  • Interpret and analyze individual business problems, selecting the best analytic approach and appropriate tools for extracting value from the data.
  • Explain the differences between the R and Python programming languages and demonstrate proficiency in each.
  • Promote data quality by effectively acquiring, cleansing, and organizing data for analysis.

ADVISORY BOARD

Golden Gate University's Business Analytics programs are overseen by an advisory board comprising business and academic leaders in the field.

  • Rich Clayton, VP Business Analytics Product Group, Oracle
  • Tracey Edwards, Managing Principal Global Shared Services & CKO (ret), Deloitte
  • Michael Evans, National Managing Director, Newport Board Group
  • Richard Harris, VP Software Engineering, Asset Performance Management, GE Digital
  • Stuart McGuigan, Chief Information Officer, Johnson & Johnson

APPLYING TO THE PROGRAM

Admission to the program is selective and limited. To receive full consideration, applicants must submit all required materials by the preferred application deadline. Completed applications will be reviewed by the committee on a weekly basis and qualified applicants will be notified of their admission on an ongoing basis until the incoming class is completed.

Golden Gate University seeks a well-rounded group of students from diverse educational and professional backgrounds. Ideal candidates will have a balance of both quantitative skills and business skills. Students will be selected based on academic transcripts, a statement of purpose, and a resume.

SUMMER 2017

Preferred Application Deadline*
Feb 15, 2017
Admission Notification
Ongoing
Enrollment Deposit Due†
Apr 1, 2017
Classes Begin
Apr 30, 2017

FALL 2017

Preferred Application Deadline*
Jun 1, 2017
Admission Notification
Ongoing
Enrollment Deposit Due†
Aug 1, 2017
Classes Begin
Aug 27, 2017

*Applications will be accepted after the preferred deadline on a case-by-case basis.

†A $125 non-refundable enrollment deposit guarantees a spot in the program, permits registration, and will be applied to the first term’s tuition.


TUITION

Ageno School of Business Courses: $2,925 per 3-unit course.

Tuition varies for other courses. See Tuition & Fees for details.


LOCATIONS

This program is offered at the following locations:

 

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BUSINESS ANALYTICS

WEBINAR

Dr. Judith Lee, Associate Professor and Chair of Operations & IT Management, will provide an overview of the Master of Science in Business Analytics. Attend and apply for free!


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