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SAS ACADEMIC SPECIALIZATION

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Prove Your Expertise With Industry-Leading SAS Credentials

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CSU Global and SAS, a worldwide leader in analytics, have partnered to develop four academic specializations to meet the growing demand for expert analytics professionals.

By earning one of these specializations, that utilizes fully accredited CSU Global courses and is SAS-recognized,  you’re demonstrating to employers that your knowledge of analytics goes beyond theory and into application. You will receive a badge that can be added to your LinkedIn, CVs, and your resume. 

Please note: All credits to fulfill these specializations  must be obtained through CSU Global. Transfer credits are not applicable toward CSU Global-SAS academic specializations. At the end of each trimester (term D), the Registrar’s office will verify the completion of required SAS academic specialization courses and email a badge link to the student's CSUGlobal.edu account of record. The student is responsible for claiming their badge.

Undergraduate Academic Specialization: SAS – Statistics and Data Mining for Business Intelligence

TIER 1 SAS ACADEMIC SPECIALIZATION

Display your expertise in applying SAS for statistical analysis and data mining with this undergraduate-level academic specialization. 

Course list:

  • MIS445: Statistics in Business Analytics
    A study of data analysis, data production, and statistical inference. Areas of study include: surveys and designed experiments, randomization, causation, regression, and inference using hypothesis tests. This course also explores using statistical methods for the analysis of, data for an enterprise performance and quality, effectiveness, and marketability. Statistical software will be utilized to conduct a predictive analysis, analyze the results, and document the findings. The preparation of input data for analysis from a relational database using SQL is also performed.
  • MIS450: Data Mining
    Investigate various statistical approaches used for data mining analyses. The preparation of data suitable for analysis from an enterprise data warehouse using SQL and the documentation of results is also covered. A simple data mining analysis project is performed to reinforce the concepts. (This course is also offered through CBE. Credits earned using this option will appear on transcripts with an “EX” suffix.)

Skills:

  • Data Mining
  • Data Visualization
  • Descriptive Analytics
  • Predictive Analytics
  • SAS Programming
  • SAS Studio
  • Statistical Analysis

This academic specialization coincides with the following CSU Global programs:

Graduate Academic specialization: SAS – Applied Data Analytics

TIER 3 SAS ACADEMIC SPECIALIZATION

This graduate-level academic specialization shows your ability to apply SAS for descriptive analytics, predictive analytics, statistical analysis, and data mining, and can be completed as part of CSU Global’s M.S. in Data Analytics program. Prior experience with statistics and programming required.

Course list:

  • MIS500: Foundations of Data Analytics
    This course introduces students to the methodologies, techniques, and tools most commonly used in data analytics. These foundational methods are from the fields of statistics, operations research, and information systems. Topics include techniques and tools for visualization, inference, forecasting, optimization, simulation, and data mining. The emphasis is on exposing the student to the techniques and software tools that are used in the industry and will be used in the rest of the program.
  • MIS530: Predictive Analytics
    This course covers the fundamental predictive analytics and data mining approaches applied in business. It introduces basic concepts and techniques to discover patterns in data, identify variables with the most predictive power, and develop predictive models.
  • MIS540: Introduction to Business Intelligence
    Through this course students are provided with an overview of Business Intelligence (BI) for an enterprise, establishing the foundation for using data in cross-functional key areas, such as accounting, sales, production, customer data, and other elements, to assist with generating actionable intelligence data for decision making in order to achieve or maintain competitive advantage in the workplace and evaluate how well corporate key performance indicators are being met.
  • MIS543: Enterprise Performance Management
    This course provides students with an overview of Business Intelligence (BI) for an enterprise, establishing the foundation for using data in cross-functional key areas, such as accounting, sales, production, customer data, and other elements, to assist with generating actionable intelligence data for decision making in order to achieve or maintain competitive advantage in the workplace and evaluate how well corporate key performance indicators are being met.

Skills:

  • Data Mining
  • Data Visualization
  • Descriptive Analytics
  • Predictive Analytics
  • SAS Programming
  • SAS Studio
  • Statistical Analysis
  • Text Analysis

This specialization coincides with the following CSU Global programs:

Graduate Certificate: SAS – Business Intelligence

TIER 1 SAS ACADEMIC SPECIALIZATION

Earning this graduate-level academic specialization proves you have the ability to apply SAS for descriptive analytics used for business intelligence environments. Prior experience with statistics and programming required.

Course list:

  • MIS540: Introduction to Business Intelligence
    This course provides students with an overview of Business Intelligence (BI) for an enterprise, establishing the foundation for using data in cross-functional key areas, such as accounting, sales, production, customer data, and other elements, to assist with generating actionable intelligence data for decision making in order to achieve or maintain competitive advantage in the workplace and evaluate how well corporate key performance indicators are being met.
  • MIS543: Enterprise Performance Management
    This course provides an in-depth understanding of how business intelligence aligns with the realization of organizational strategy. Topics include key performance indicators, organizational goals, and the role of effective management in meeting enterprise objectives.

Skills:

  • Descriptive Analytics
  • Predictive Analytics
  • SAS Datasets
  • SAS Programming
  • SAS Studio
  • Statistical Analysis

This specialization coincides with the following CSU Global programs:

GRADUATE ACADEMIC SPECIALIZATION: SAS – PREDICTIVE ANALYTICS MANAGEMENT

TIER 1 SAS ACADEMIC SPECIALIZATION

Earning this graduate-level academic specialization proves you have the ability to apply SAS for predictive analytics used for helping businesses make data-driven decisions. Prior experience with statistics and programming required.

Course list:

  • MIS500: Foundations of Data Analytics
    This course introduces students to the methodologies, techniques, and tools most commonly used in data analytics. These foundational methods are from the fields of statistics, operations research, and information systems. Topics include techniques and tools for visualization, inference, forecasting, optimization, simulation, and data mining. The emphasis is on exposing the student to the techniques and software tools that are used in the industry and will be used in the rest of the program.
  • MIS530: Predictive Analytics
  • This course provides students with an overview of Business Intelligence (BI) for an enterprise, establishing the foundation for using data in cross-functional key areas, such as accounting, sales, production, customer data, and other elements, to assist with generating actionable intelligence data for decision making in order to achieve or maintain competitive advantage in the workplace and evaluate how well corporate key performance indicators are being met.

Skills:

  • Data Mining
  • Data Visualization
  • Descriptive Analytics
  • Predictive Analytics
  • SAS Enterprise Mine
  • SAS Programming
  • SAS Studio
  • Statistical Analysis

This specialization coincides with the following CSU Global programs:

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