Expand your existing business knowledge base into the areas of data management, modeling, and analysis.
Suffolk’s Graduate Certificate in Business Analytics (GCBA) is a five-course program designed for individuals with undergraduate business degrees interested in gaining skills in business analytics, including data management and predictive analytics.
As a part-time student, you can complete the GCBA in as few as nine months. If you apply to the MSBA, MSM, or MBA degree program at the Sawyer Business School within a year of completing this certificate and earn a GPA of 3.3 or higher, you won’t need to take the GRE or GMAT.
Cost Per Credit (2018-2019)For part-time students
9 -16 months of part-time study*
This course introduces students to the concepts and applications of data analytics on large data sets for managerial decision making. Students will learn foundation skills needed to extract valuable information out of data, including various descriptive and predictive analytics techniques. Students develop knowledge of data visualization and interpretation coupled with conveying data, results and insights. Issues on data acquisition, storage and management will be discussed.
Analyzes various real world business problems and explores the full scope of MS Excel's formulas, functions and features to create data models and present solutions. Students analyze data, design custom charts, graphs, PivotTables and Pivot charts, create three-dimensional workbooks, build links between files and endow worksheets with decision-making capabilities. Students conduct What-If Analysis, utilizing Scenario Manager, Solver, Data Tables and Goal Seek. This course provides the skills necessary to pass the Microsoft Office Specialist Certification in Excel.
Offered Both Fall and Spring
This course was formerly ISOM-815
Introduces the importance of information as an organizational resource, role of big data in organizations, and the application of tools to provide high quality information. Students will be able to select the most appropriate data management tool (e.g., SQL vs. non-SQL databases) to business scenarios. Develops the skills needed to succeed in today's big data environment through the application of data management techniques, cases and exercises. Students will become proficient in designing databases using entity relationship modeling and normalization, in building and querying databases of various sizes with Access and SQL (an industry standard), preparing high quality data and applying data visualizing techniques. Students will complete a series of business-oriented hands-on exercises, prepare cases, and complete projects on database design and big data.
Offered Fall Term
Provides students with an understanding of the nature of enterprise integration and enterprise software, business process reengineering, the implementation within organizations, and strategies for maximizing benefits from enterprise systems. To manage complex business processes in today's multi-national, wired and wireless world, firms need integrated software packages to manage their global business. Enterprise Resource Planning (ERP) systems are used to support a wide range of business functions for all companies across industries. With ERP systems, business managers are able to make decisions with accurate, consistent, and current data. Intensive lab projects on the SAP ERP System with real life business scenarios are utilized to reinforce understanding of enterprise systems functionality and business process concepts.
Offered Spring Term
Predictive analytics make predictions about unknown future events. It is crucial for companies to ask the right questions, perform rigorous analysis, and take actions that will result in the most desirable outcomes. This course develops students' capability in applying the core concepts and techniques of predictive analytics to identify opportunity, recognize patterns, predict outcomes, and recommend optimal actions within the context of organizational decision-making. Topics include: business analytics life cycle, data pre- processing, linear and nonlinear regression, tree-based methods, model assessment and selection, and resampling methods.
*Can be completed in 2-3 semesters, part-time.
Graduate certificate courses, if waived, will need to be substituted with an approved elective. To substitute an approved elective for a required course, a student must have successfully completed equivalent academic coursework at the undergraduate/graduate level in the five years prior to matriculation ("B" or better) and provide official transcript (with English translation, if applicable).
Candidates who apply within one year of completing their graduate certificate will have applicable courses applied to Sawyer Business School (SBS) graduate degree programs in the same discipline as the certificate as long a grade of "B" or better was earned in that course.
Candidates who apply beyond one year or from a certificate program outside their discipline will have coursework evaluated on a case by case basis for relevancy, current degree requirements and current Sawyer Business School wavier and transfer policies.
Transfer credits from the graduate certificate must have an earned grade of "B" or better and have been taken within five years prior to entering a SBS graduate degree program. However, at the discretion of the program director, some courses may not be transferred if the subject material has changed significantly since completion.
Fall Semester: March 15 (priority), then rolling
Spring Semester: October 15 (priority), then rolling
Summer Semester: April 1 (priority), then rolling
Learn about the advantages of priority applications.
|MS in Business Analytics||MSBA/MBA Dual Degree|
|MSBA/MSA Dual Degree||MSBA/MSF Dual Degree|