Masters in Accounting Analytics
Learn to not only analyze data, but to translate and communicate it throughout your entire organization.
QS Top MBA Discusses the Launch of the Bentley MS Accounting Analytics Program
- Courses from five departments (Accountancy, Computer Information Systems, Finance, Information Process Mathematics, Management) sharing a common core with other MS in Analytics programs.
- Choose from three specialized tracks: accounting analytics, database analytics and forensic analytics.
- Straightforward, 10-course degree that can be completed in 12 months.
- AACSB accredited, and the first graduate program of its kind.
- STEM designation, increasing employability of international students due to three years of OPT (optional practical training).
The Bentley MSA prepares you for a wide range of careers, no matter the industry you are interested in. See below for a partial list of employers and job titles our alumni have achieved over the past year.
|Company Name||Alumni Title|
|Brown University||Assistant Internal Auditor|
|Citizens Bank||Vice President|
|Edelstein CPA||Business Valuations Associate|
|Grant Thornton||Audit Associate|
|Safety Partners, Inc.||Director of Finance|
|State Street||Emerging Technology Consultant|
|The Bowdoin Group||Accounting Manager|
Success in today’s business world requires a practical, hands-on approach to information, whether you are analyzing it, integrating it or sharing it. Our seven high-tech learning labs ensure that you’ll have access to the leading edge of technology, giving you every opportunity to cut your teeth on the equipment and software being used in the business world today. MSAA candidates can take advantage of our Howard A. Winer Accounting Center for Electronic Learning and Business Management, and learn how to manipulate working solutions from real data trends they uncovered.
Average age of students in this program
Domestic Placement Rate
Part-Time Students Enrolled
International Students Enrolled
Top Employers Hiring Our Graduates
All applicants will be evaluated for foundation waivers. Six courses are required, but students can take either IDCC 620 or IDCC 711.
This course deals with the measurement and reporting problems of various asset and liability accounts, revenues and expenses, and the preparation and interpretation of financial statements at the inte rmediate financial accounting level. Pronouncements of the AICPA, FASB and other authoritative sources are used in instruction.
This course builds upon the areas covered in AC 611 and deals with problems in accounting for items such as corporate debt and investments, pension plans, leases, and income tax allocation at the inte rmediate financial accounting level. Pronouncements of the AICPA, FASB and other authoritative sources are an integral part of this course.
This course examines typical organizational business processes and the information technology that enables those processes. Reviews qualities of information, including those established by authoritati ve bodies, to assess the ability of information systems to support the business processes and an organization's management. Focuses on financial and accounting information systems (AIS) and explores several typical AIS application areas. Issues addressed include the effect of emerging technologies on business processes and their related information systems; control issues pertaining to these systems; and the implications of technology-enabled organizational changes on systems design, implementation and management. Students will be introduced to state-of-the-art tools and techniques for examining business processes and information systems and will engage in a project at a company site.
This course is designed to provide a foundation in financial statement auditing. Class sessions cover the economic and social justifications for auditing; the connections between enterprise strategy, business processes, business risks, financial measures, and the audit; the role of internal control in auditing; the technical details of audit planning, testing and reporting; and the social responsibility of the auditor. Investors, analysts and the public face a significant problem in assessing the quality of the financial information that an enterprise reports as it goes about its activities. Arguably, these parties can make better decisions if they can trust the executives and management of the enterprise and if they are reasonably sure that the information they encounter is of high quality. One way to gain both that trust and that assurance is by examining the quality of the information through the process of financial statement auditing.
This course covers basic statistical techniques in a managerial setting, and features case studies and conceptual exercises. Statistical topics include effective use of numerical and graphical summari es, estimation and confidence intervals, hypothesis testing and regression. More advanced topics such as data mining, the Bayesian paradigm and principles of model building, may be encountered during projects.
This course approaches effective communication both as an essential professional skill and as an important function of management. It discusses the elements of communication (argumentation, structure, style, tone and visual appeal) and presents techniques for increasing one's effectiveness in each area. Students read, discuss and write about cases based on tasks that managers commonly face, such as explaining changes in policy, writing performance evaluations, analyzing survey results or other numerical data, and communicating with employees, shareholders, the press and the public. Methods include group work, oral presentations, several writing assignments and role playing. Drafting and revising and computerized word processing are stressed.
This course is designed to develop in-depth oral presentation and critical skills in persuasion for a variety of business situations. The course covecs strategies for effectively advocating new propos als and defending current policies; addressing audience attitudes and concerns in formulating positions (discovering hidden agendas); establishing arguments through analysis and evidence; creating conditions for mutual persuasion; handling question-and-answer sessions; enhancing well-reasoned arguments and establishing tone through effective language usage; establishing personal credibility (reputation); and recognizing logical and psychological fallacies in arguments. Students will gain experience in thinking on their feet, as well as preparing a coordinated set of strategies for a team position defense and creating effective individual persuasive presentations.
This course, designed for students who will be accountants and information systems professionals, shows how they can help management use information technology to effectively control the execution of business activities, while capturing accurate and complete data about those activities in real time. Students will model, analyze and evaluate accounting information systems that support intra and inter-organizational business processes as well as management control and decision-making. Students will learn to determine and document user requirements, communicate results, and support decision-making. By analyzing and discussing case studies, students will develop the ability to identify key issues, wrestle with conflicting information, and formulate appropriate and feasible recommendations. The course incorporates large-scale projects to enrich the student's experience with an appreciation for the accounting challenges and opportunities posed by information technology.
This course introduces three typical aspects of information technology (IT) audits: the audits of computerized information systems, the computer facility, and the process of developing and implementing information systems. Through readings, case studies, exercises and discussion, students will learn to plan, conduct and report on these three types of IT audits. Additional topics may include challenges posed by emerging information technologies, advanced audit software, business continuity planning, and the role of the IT auditor as an advisor to management.
This course teaches foundational data management,retrieval, and manipulation skills with an emphasis on enabling the students to form a strong foundation for analytical processes. It builds a foundation for understanding various domains of practice with conceptual data modeling and demonstrates how the same conceptual needs can be served with different data management technologies. The course covers relational technologies for both operational databases and data warehouses and non-relational data management infrastructures for analytics. The course will help the students develop strong skills in the use of the SQL language for database definition and data manipulation.
Financial Modeling is focused on applying sophisticated Excel techniques to the most common modeling problems in finance. The skill set is expanded to include advanced features of Excel including TVM and statistical functions, array manipulation, text and date usage, regression, conditionals, Boolean operators, data tables and random number generation. Subsequently the course will cover macro recording as well as custom subroutine and function construction in the Visual Basic for Applications (VBA) development environment. All techniques learned will be applied to the most common financial modeling problems of the day including financial statement forecasting, present value, cost of capital, and valuation.
The course will provide a business-focused perspective on analytics in organizations, with emphasis on business fundamentals for analytics professionals (including how businesses are structured, functional areas, core business processes and associated performance metrics, and types of business decisions), the value of analytics in organizations (including organizational-level perspectives on value, managing with analytics, and constraints and consequences of analytics processes such as information security, privacy and ethics), and the practice of analytics (understanding and framing ill-defined business problems in various functional business areas, exploring and visualizing problem-related data, identifying actionable insights, and communicating the results at different organizational levels). The course will feature hands-on exercises with real-world data and analytics applications.
Working with and finding value in data has become essential to many enterprises, and individuals with the skills to do so are in great demand in industry. The required skill set includes the technical programming skills to access, process and analyze a large variety of data sets, including very large (big data) data sets, and the ability to interpret and communicate these results to others. Anyone with these abilities will provide benefit to their organization regardless of their position. This course presents the essentials of this skill set.
Provides students with an in depth coverage of simple and multiple linear regression methods and, as time permits, an introduction to the analysis of time series data. Simple and multiple linear regression techniques are covered including the use of transformations such as squares and logarithms, the modeling of interactions, and how to handle problems resulting from heteroscedasticy and multicollinearity . Issues surrounding outlying and influential observations are also covered. The art and science of model building are demonstrated with the help of cases. Autocorrelation is then considered, and an introduction to the ARIMA modeling of times series is provided. Makes use of statistical packages such as SAS, JMP, R or SPSS.
This course focuses on statistical modeling situations dependent on multiple variables, as commonly found in many business applications. Typical topics covered are logistic regression, cluster analysis, factor analysis, decision trees, and other multivariate topics as time permits. Applications of these methodologies range from market analytics (e.g., direct mail response and customer segmentation) to finance and health informatics. A central objective of the course is for participants to be able to determine the appropriate multivariate methodology based on the research objectives and available data, carry out the analysis and interpret the results. This course makes use of statistical packages such as SAS, JMP, R or SPSS, along with more specialized software.
Students choose two electives, and can choose a track to further refine expertise within a professional area: accounting analytics, database analytics, forensic analytics.
Affords students the opportunity to enhance self-realization and direction by integrating prior classroom study with experience in professional employment. Each student is required to prepare a research paper addressing a contemporary accounting issue and a paper on the work experience, under the supervision of a faculty advisor.
The course exposes students to the environment of financial fraud, with a focus on asset misappropriation and fraud perpetrated against the organization. It explores the prevailing theories of criminal behavior related to white collar crime, as well as the basics of the regulatory, criminal justice and civil justice systems, relevant federal and state statutes and regulations, and common law related to fraud. The course covers fraud prevention, and detection and investigation tools related to asset misappropriation. It also introduces the digital environment of fraud, including identity theft, cyber crimes and Internet forensics.
This course focuses on complex frauds (including financial statement fraud, tax fraud and money laundering), and on non-fraud forensic accounting engagements (including cases of patent infringement, commercial damages and anti-trust). It covers related investigation methods and legal issues, valuation models, reporting and communicating findings, testifying as an expert witness, and other litigation advisory services.
This course introduces graduate students to professional accounting research. It focuses on how research can help address measurement, uniformity and disclosure issues that regularly arise in business . It reviews and critiques research works and their implications for the practice of accounting. Investigates ethical perspectives and emerging professional issues. The course evaluates policy formulation of professional accounting standards and their impact on business reporting. Students research, analyze, develop and present proposed solutions to accounting and related business cases found in practice using modern information technology resources.
This course teaches object-oriented programming and development using the Java programming language. Students first gain a solid understanding of programming fundamentals, including control and data structures and the use of built-in classes. This is followed by the study of object-oriented programming concepts and practices, from defining classes and methods to the more advanced object-oriented concepts of inheritance, encapsulation, polymorphism and abstract classes. Students' understanding is reinforced throughout the course through the development of stand-alone applications. No prior knowledge of Java or other programming languages is required.
This course examines the architectures of current database systems are examined in this course. Of particular importance is the examination and comparison of relational database systems, and object-oriented database systems, particularly as they are used as a foundation for large-scale distributed systems. The course covers techniques for developing, designing and managing large corporate database systems, creating and managing logical data models, concurrent processing issues, providing database support for complex transactions, meta-data analysis, and the role of the database administrator.
This course expands students’ knowledge and skills gained in database management courses and looks in depth at business intelligence methods and technologies. The course examines the entire business intelligence life cycle, including system architecture design, data processing, modeling, warehousing, online analytical processing and reporting. Case studies of organizations using these technologies to support business intelligence gathering and decision-making are examined. This course also provides hands-on experience with state-of-the-art business intelligence methods and tools.
This course presents an overview of information security issues that must be addressed by organizations in today's ubiquitously networked environments. Specific coverage will include information security risks and related protection of data, networks and application software. While the primary focus is on how to protect organizational information assets, other topics will include strategic uses of security in business, the impact of security risk on various industries, as well as the security and privacy rights and responsibilities of end users and home computer operators. The course is designed to help students think critically about the local, national and global information security issues in our highly networked society.
An enterprise system forms the backbone of a company. Business information is collected, shared and reported using an enterprise system, which needs to be tailored to support a company's business processes. In this course, students gain hands-on experience planning for and configuring enterprise systems, using the world's leading enterprise software product from SAP. Students will experience the Request for Proposal process, translate business process needs into module-based design requirements, and design test plans for the processes they configure. They will gain a deep understanding of how business processes are instituted in a company setting, and how carefully configured software can lead to efficiency and effectiveness gains and support competitive strategy. This course prepares students to participate in enterprise system implementation and evaluation processes as a consultant, business systems analyst, subject matter expert or auditor.
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Find Yourself at Bentley
To create a thriving population of students with a wide range of life and work experiences, Bentley considers the entirety of candidates’ applications including prior work experience, test scores, learning objectives, and other factors as we determine admissions decisions.
MSAA Program Requirements
Application fee / Transcripts / Resume / 2 Essays / GMAT or GRE scores (may be waived for qualified students) / TOEFL/IELTS scores for international students (may be waived for qualified students) / Two letters of recommendation / Interview (may be requested by Bentley)
Full-Time & Part-Time
|Round||Send Completed Application By||Admission Decision Available|
|Early Action:||November 1||December 15|
|Round 1:||December 1||January 15|
|Round 2:||January 20||March 15|
|Round 3:||March 15||May 1|
|Rolling Admission:||May to August||2 weeks from submission|
|Round||Send Completed Application By||Admission Decision Available|
|Round 1/Priority:||October 1||2 weeks from submission|
|Rolling Admission:||October to December||2 weeks from submission|
- Students seeking visas for Fall should apply by July 1, and for Spring should apply by November 1
- Applicants who wish to be considered for merit-based aid should apply as early as possible.
- Those who apply during the Rolling admission period are accepted on a space-available basis.
- Accepted students must confirm their acceptance within 2 weeks of decision to reserve their space in their program.