Business Analytics Graduate Certificate Program

Program Overview

Rider’s Graduate Certificate program in Business Analytics helps business professionals develop the skills and gain the knowledge of the technologies, applications and processes used by organizations to analyze data and drive their decision making across all aspects of business including finance, marketing, accounting and operations.

Endorsed by SAS, the leader in business analytics software and services, this certificate program has been designed with the valuable input of executives in the analytics field to ensure that the program meets the needs of employers.

Curriculum Overview

Rider’s Graduate Certificate Program in Business Analytics allows students to follow one of two tracks:

Each track requires five graduate-level courses (15 credit hours) that are highly applied in nature, integrating project-based learning, simulations, case studies, and field experience with industry partnerships.

The program is structured so it can be completed within a year on a part-time basis.  Students can start the certificate in any semester and courses are taught in the evening on Rider’s Lawrenceville campus and online.

Completion of the Certificate

To complete this certificate program, students must meet the following requirements:

  • Overall GPA of 3.0 in the Business Analytics Certificate Program; and,
  • Cannot have any grades below a “C”.

Current MAcc or MBA students at Rider

Current MAcc and MBA students can easily work the Business Analytics Graduate Certificate Program into their graduate degree program.  Please contact the Academic Coordinator to plan how the Business Analytics Graduate Certificate will fit into your MBA or MAcc program.

Contact

Mrs. Jean Cherney
Graduate Business Academic Coordinator
Sweigart Hall
609-895-5557
jcherney@rider.edu

Program Website:  Business Analytics

Associated Department:  College of Business Administration, Graduate Programs

Program Requirements

The Business Analytics Graduate Certificate allows students to follow one of two tracks; one for business professionals and one for information technology (IT) professionals with advanced skills in programming, data management, and a working knowledge of SAS software.  Each track requires five graduate-level courses (15 credit hours.) 

Business Professionals Track

PMBA 8051Fund of Statistical Analysis 13
PMBA 8312Business Intelligence Tech-Data Mining3
PMBA 8317Applied Data Mgt for Bus Users3
PMBA 8357Bus Analytics for Managers3
PMBA 8380Business Analytics Optimizatio3
Total Credits15
1

 PMBA 8051 may be waived if the student meets one of the following requirements:

  • Earn a grade of "B" or better in statistics coursework equivalent to Rider's MSD 200 - Statistical Methods I and MSD 201 - Statistical Methods II at an accredited four-year institution within six years prior to the semester admitted; OR
  • Complete PMBA 8051 Fundamentals of Statistical Analysis with a grade of "B" or better.
  • Students in the IT track must be proficient in the use of SAS in the foundation statistics course(s).

Information Technology Professionals Track

PMBA 8051Fund of Statistical Analysis 23
PMBA 8312Business Intelligence Tech-Data Mining3
PMBA 8317Applied Data Mgt for Bus Users3
PMBA 8357Bus Analytics for Managers3
PMBA 8902Independent Studies in Business Adm. 13
Total Credits15
1

 This independent study in Business Analytics will teach students to write SAS programs, to manipulate data using SAS DATA and the procedure steps to access, transform, and summarize SAS data sets. The course also provides a review of the five exam content areas in the SAS Base Programmer Certification Exam, including importing and exporting raw data files; manipulating and transforming data, combining SAS data sets, creating basic detail and summary reports using SAS procedures, and identifying and correcting data syntax and programming logic errors.  

2

PMBA 8051 may be waived if the student meets one of the following requirements:

  • Earn a grade of "B" or better in statistics coursework equivalent to Rider's MSD - 200 - Statistical Methods I and MSD - 201 - Statistical Methods II at an accredited four-year institution within six years prior to the semester admitted; OR
  • Complete PMBA 8051 Fundamentals of Statistical Analysis with a grade of "B" or better.
  • Students in the IT track must be proficient in the use of SAS in the foundation statistics course(s).

Certificate Completion

To complete the BA Certificate Program, students must meet the following requirements:

  • Overall GPA of 3.0 in the Business Analytics Certificate Program;
  • Cannot have any grades below at “C”.

Business Analytics Graduate Certificate Program Policies

Prerequisites

To be admitted to the Business Analytics Graduate Certificate Program in either track, students must meet the following requirements:

  1. Completion of at least a bachelor’s degree or equivalent from an accredited institution of higher learning with a GPA of 3.0 or better.
  2. Demonstrated technology proficiency by satisfying ONE of the following conditions:
    • Earn a grade of “B” or better in course work equivalent to Rider’s CIS 185 Information Systems Essentials at an accredited four-year institution within six years prior to the semester admitted; OR
    • Complete PMBA 8010 Information Technology Proficiency with a grade of “B” or better; OR
    • Take the proficiency exam for PMBA 8010 with a grade of “B” or better.

Courses and Descriptions

PMBA 8051 Fundamentals of Statistical Analysis 3 Credits

Covers basic statistical techniques useful in business decision making. Includes descriptive statistics, event probability, random variables, sampling distributions, regression analysis and topics in statistical inference.

Prerequisite(s): MSD 105 (or equivalent).

PMBA 8312 Business Intelligence Tech-Data Mining 3 Credits

In this course, students will learn to solve problems/exploit opportunities by processing datasets, interpreting results, and deploying solutions. This course provides hands-on experience with these tasks. Upon this base of experience, students will build a robust data mining methodology that can be applied to real-world investigations. The course of study will include Online Analytical Processing (OLAP), statistical and machine learning techniques, and unstructured text analysis. Students will learn to apply these techniques through the study of payroll, procurement, and expense report fraud. Cell phone and credit card fraud, credit and bankruptcy analysis, and customer relationship management will also be covered. This course applies to the Business Analytics, Forensic Accounting and Fraud & Forensic Accounting concentrations. This course applies to the graduate certificate in Business Analytics.

PMBA 8317 Applied Data Management for Business Users 3 Credits

Learn the benefits of data sharing in a business organization , the benefits of the relational database model, how data is structured in a relational database model, and how data can be accessed in a relational database using the structured query language (SQL). The process of formatting, loading, and accessing data for data analytics will be shown as well as the interaction with data warehouse schemas such as the star schema and snowflake scheme. This course applies to the concentration in Business Analytics and the Business Analytics Certificate Program.

PMBA 8357 Business Analytics for Managers 3 Credits

Business Analytics, the data driven approach to management, is essential to achieve effective business decision-making and competitive advantage. All business managers need to analyze data and make quantitative-based decisions in their business careers. The focus of this course is to equip students with a variety of data analysis methods and tools that are useful to uncover trends, patterns, relationships, and other useful information. The course will take a hands-on, example-based approach and introduce fundamental concepts as they are needed. Students will be using both Excel and SAS software. This course applies to the concentration in Business Analytics and the Business Analytics Certificate Program.

PMBA 8380 Business Analytics Optimization 3 Credits

This course has been designed to provide professional MBA students with the current knowledge and practice of optimization business analysts use. Optimization aims at selecting the best alternative from among available alternatives according to a predetermined objective. In general it involves building a mathematical model and finding the best alternative through a mathematical procedure. Optimization techniques help decision-makers make fact (i.e. data) based decisions and offer the potential of making significant profits or cost savings. The main focus of this course will be on developing modeling skills to gain insight into a wide variety of business decision problems. In other words, the emphasis in this course will be on modeling practical business decision problems, use of relevant software for optimal solution, interpretation of results, and sensitivity analysis rather than the theory of mathematical solution techniques. Coverage of course material will follow the typical sequence of (1) identification and discussion of a business decision problem; (2) developing a graphical model (e.g. influence diagram); (3) developing a mathematical model; (4) computer solution; (5) interpretation of results and sensitivity analysis; (6) discussion of insights gained from the experience; (7) discussion of implementation issues. In addition, heuristics will be discussed when optimization techniques are not available or too costly. This course applies to the concentration in Business Analytics and the Business Analytics Certificate Program.

Prerequisites: PMBA 8010 and PMBA 8051.

PMBA 8902 Independent Studies in Business Administration 3 Credits

Involves a program determined by the individual faculty member and approved by the program director. Written assignments are required as part of this rigorous academic experience. Students are eligible for a maximum of one independent elective and should have completed at least three breadth courses prior to the start of the independent study. Prerequisite(s): Completion of MBA pre-program courses and permission of the associate Dean of Graduate Programs.

 NOTE:  PMBA 8902 Independent Study in Business Administration will be in Business Analytics and will involve teaching students to write SAS programs, manipulate data using SAS DATA and procedure steps to access, transform, and summarize SAS data sets. The course also provides a review of the five exam content areas in the SAS Base Programmer Certification Exam, including importing and exporting raw data files; manipulating and transforming data, combining SAS data sets, creating basic detail and summary reports using SAS procedures, and identifying and correcting data syntax and programming logic errors.