How to Apply
Learn about the admissions process and requirements to apply.
Learn the applications and structures needed to track and protect an organization’s informational technology infrastructure, and the skills to apply your information systems knowledge to real-world audit applications. As part of the Rutgers Stackable Business Innovation Program (rSBI), the Information Technology Audit Concentration is stackable with the following master's programs: MACC in Financial Accounting, MBA in Professional Accounting, MBA.
This concentration equips students with skills and tools required to examine and evaluate an organization's information technology infrastructure, policies and operations. It focuses on the process of collecting and evaluating evidence to determine whether a computer system safeguards assets, maintains data integrity, and allows organizational goals to be achieved effectively using resources efficiently. Audit Analytics course introduces the application of audit analytics to organizations as audit evidence while Information Technology Audit course provides the future accounting and auditing professionals with the technologies used in Accounting Information Systems and related IT audit methodology. The third course provides the student with the evolution of accounting information to the digital economy. The last course (Individual Project in Audit Analytics) enables students to apply what they have learned to develop a deeper understanding in the application of analytics in audit.
You can take the course listed below as individual classes or as stackable courses towards the completion of a concentration.
This is the first course of the Audit Analytics Certificate Program. There are two main purposes of this course: (1) introduce the basic application of analytics to both internal and external audit processes in current ubiquitous computer-based information systems, and (2) introduce the application of audit analytics to organizations. This course emphasizes the usage of statistics and the interpretation of results to be used as audit evidence. It is designed to impart the theory and practice of the foundational statistical techniques applied in an audit.
The course adds to the knowledge of future accounting and auditing professionals who have taken the prerequisite course, "Auditing," by familiarizing them with the technologies used in Accounting Information System and related IT audit methodology. The emphasis of this course is on assisting students in (1) obtaining an understanding of the risks associated with key aspects of information systems including: operating systems security, databases, networks, and systems development, and the audit role of Computer Assisted Audit Tools and Techniques (CAATTs); and (2) having a working command of ACL in performing standard function tests and fraud detection.
This course provides the student with the evolution of accounting information to the digital economy. It explores the migration of the economy to a real time economy and the electronization of business as well as the globalization of business. Enabling and emerging technologies provide the student with an awareness of the future of accounting, reporting and auditing in the digital age. Technologies and the Sarbanes-Oxley Act provide an understanding about future methodologies that address compliance with the Act.
The capstone course in the Audit Analytics line of study. Students participate in an individual study project with an advisor. Students will apply what they have learned to develop a deeper understanding in the application of analytics in audit. At the end of the course the student will have conducted a novel research project that will have involved applying analytics in an audit related setting.
The concentration and courses are offered by the Accounting & Information Systems Department
Sample Relevant Careers: Certified Public Accountant (CPA), Compliance Auditor, Financial Accountant, Financial Auditor, Forensic Accountant, Government Auditor, Industrial Accountant, Information Technology Auditor, Internal Auditor, Data Analyst, Financial Advisor