Typical Job Titles
Certified Public Accountant (CPA) | Tax consultant |
Management Accountant | Data Analyst |
Financial Analyst | Financial Consultant |
Investment Advisor | Equity or Credit Analyst |
Chief Financial Officer (CFO) |
RIT’s master’s in accounting analytics leads to advanced accounting careers through the application of analytical tools and skills.
In RIT’s master’s in accounting analytics pulls together key areas of technology, finance, strategy, analytics, data modeling, and more to help you advance your accounting career.
RIT’s accounting MS students gain insights and career advantages through:
What makes an RIT education exceptional? It’s the ability to complete relevant, hands-on career experience. At the graduate level, and paired with an advanced degree, cooperative education and internships give you the unparalleled credentials that truly set you apart.
This program is available on-campus only.
To be considered for admission to the Accounting and Analytics MS program, candidates must fulfill the following requirements:
An RIT graduate degree is an investment with lifelong returns. Graduate tuition varies by degree, the number of credits taken per semester, and delivery method.
Accounting analytics can help an organization answer financial questions by looking at all the data gathered by a company (e.g., transactional data, financial data, investment analysis, etc.) and analyzing this information to gain significant insights, predict future outcomes, or even ascertain risk.
There are four key types of data analytics–descriptive, diagnostic, predictive, and prescriptive–and each has a role in helping an accountant report on activity happening within an organization. All four of these types of data can be used to create a full picture of what's happening within a business, what decisions can and should be made, and where growth opportunities lie.
Descriptive analytics tell us what is happening. Descriptive analytics categorizes and classifies a range of information. Accountants can use this trove of data to report on what is happening within a company, from cash flow, revenue and expenses, and inventory, to website traffic and social media analytics.
Diagnostic analytics tell us why something happened. Accountants are skilled at using data to create forecasts and predict trends. Diagnostics analytics is the use of data to determine the causes of trends and the correlations between any number of variables. For example, diagnostic analytics can help examine market demand for a product, can provide insight into why a product’s sales are up or down, or they can help explore correlation or causation between variables.
Predictive analytics tell us what’s going to happen. Will a key piece of machinery break down? Will an organization have enough cash flow in nine months? Should a company anticipate different staffing needs during a specific time period? Predictive analytics helps accountants examine data to forecast a range of different scenarios that can impact drive strategic decision making.
Prescriptive analytics tell us what we should do next. Prescriptive analytics is data-driven decision-making. It’s the use of data to determine a course of action. Social media applications use predictive analytics to determine what content to serve you based on your engagement with past content. Banks analyze transaction histories in order to identify fraud. Data on consumer behavior and shopping patterns can determine new product lines and product improvements. Prescriptive analytics can also point to problems that may arise or decision paths to avoid going down.
In RIT’s master’s in accounting analytics, you’ll develop analytics skills to conduct descriptive, diagnostic, predictive, and prescriptive analysis of accounting information. The program pulls together key areas of technology, finance, strategy, analytics, data modeling, and more to help you advance your accounting career.
This innovative accounting analytics program teaches you how technologies and business analytics are used in the accounting profession, with a specific focus on:
As an accountant or business professional seeking career advancement, you’ll benefit from the accounting analytics courses in areas that are making a significant impact on today's business operations, including big data, AI, and advanced analytics based on the foundation of accounting and auditing. You'll be taught business analytics and technology skills by faculty who teach in RIT's nationally ranked program in management information systems.
Accounting has become quantitative and technology-infused. As a result, an accounting analytics degree can help you manage internally- and externally-collected data, and analyze it in ways that help your organization grow, respond to change, meet consumer exceptions, make financial decisions, and predict and forecast the future. Graduates of RIT’s master’s in accounting analytics are in demand and work for dynamic companies in every single industry.
Students are also interested in: Business Administration MBA, Accounting and Financial Analytics Adv. Cert., Business Analytics MS
Certified Public Accountant (CPA) | Tax consultant |
Management Accountant | Data Analyst |
Financial Analyst | Financial Consultant |
Investment Advisor | Equity or Credit Analyst |
Chief Financial Officer (CFO) |
What makes an RIT education exceptional? It’s the ability to complete relevant, hands-on career experience. At the graduate level, and paired with an advanced degree, cooperative education and internships give you the unparalleled credentials that truly set you apart. Learn more about graduate co-op and how it provides you with the career experience employers look for in their next top hires.
Co-ops and internships take your knowledge and turn it into know-how. Business co-ops provide hands-on experience that enables you to apply your knowledge of business, management, finance, accounting, and related fields in professional settings. You'll make valuable connections between course work and real-world applications as you build a network of professional contacts.
Students in the accounting and analytics MS are encouraged to participate in at least one cooperative education or internship experience.
Rochester Institute of Technology (Dubai) is a branch campus of the renowned Rochester Institute of Technology in the United States. Located in Dubai Silicon Oasis, a special economic zone for knowledge and innovation, RIT Dubai offers a comprehensive range of undergraduate and graduate programs in various fields, including engineering, business, computing, and design. The institution is committed to providing students with a high-quality American education in a dynamic and international setting.
RIT Dubai provides a wide array of services to support student success, including:
RIT Dubai fosters a vibrant and inclusive campus community where students can engage in a variety of activities and experiences, including:
RIT Dubai offers a range of undergraduate and graduate programs, including:
Course | Sem. Cr. Hrs. | |
---|---|---|
First Year | ||
ACCT-710 | Tax Analysis and Strategy |
3 |
A continuation of Basic Taxation. Emphasis is on taxation of business entities, as well as estate and gift taxation and planning. Students use technology to prepare complex returns and to research tax issues. Tax analysis and planning are integrated throughout. Lecture 3 (Fall). | ||
ACCT-738 | Information Systems Auditing and Assurance Services |
3 |
An examination of the unique risks, controls, and assurance services resulting from and related to auditing financial information systems with an emphasis on enterprise resource systems. (Prerequisites: ACCT-705 or equivalent course.) Lecture 3 (Spring). | ||
ACCT-740 | Comparative Financial Statement Analysis |
3 |
This course is designed to prepare students to interpret and analyze financial statements effectively. Explores in greater depth some of the financial reporting topics introduced in the core accounting course and includes a discussion of International Financial Reporting Standards. (Prerequisites: ACCT-603 or equivalent course.) Lecture 3 (Fall). | ||
ACCT-745 | Accounting Information and Analytics |
3 |
The objective for this course is helping students develop a data mindset which prepare them to interact with data scientists from an accountant perspective. This course enables students to develop analytics skills to conduct descriptive, diagnostic, predictive, and prescriptive analysis for accounting information. This course focuses on such topics as data modeling, relational databases, blockchain, visualization, unstructured data, web scraping, and data extraction. (Prerequisites: ACCT-110 or ACCT-603 or equivalent course.) Lecture 3 (Fall, Summer). | ||
ACCT-796 | Accounting Capstone Experience |
3 |
The principal focus of this course is students completing several projects provided by members of CPA firms and industry employers. Employers provide assignments, which may include data or require students to gather relevant data, and students use defined technology, which may include a variety of applications common in technological accounting practice, to complete projects in teams. Students also write comprehensive individual reports and analyses related to the projects. Peripheral work in the course includes examination of theoretical concepts, definitions, and models espoused in the accounting literature and relevant to analyzing various contemporary issues in financial accounting and reporting. The historical development of accounting standards and contemporary issues in financial reporting are integrated. The course requires writing and student presentations. Subject to approval by the Program Director, an individual student internship/coop followed by an in-depth report may obtain equivalent credit. Lecture 3 (Spring). | ||
FINC-780 | Financial Analytics |
3 |
This course provides a survey of financial analytics applications in contexts such as investment analysis, portfolio construction, risk management, and security valuation. Students are introduced to financial models used in these applications and their implementation using popular languages such as R, Matlab, and Python, and packages such as Quantlib. A variety of data sources are used: financial websites such as www.finance.yahoo.com, government sites such as www.sec.gov, finance research databases such as WRDS, and especially Bloomberg terminals. Students will complete projects using real-world data and make effective use of visualization methods in reporting results. There are no pre or co-requisites; however, instructor permission is required – student aptitude for quantitative work will be assessed; waived for students enrolled in quantitative programs such as the MS-Computational Finance which have pre-requisites in the areas of calculus, linear algebra, and programming. Lecture 3 (Fall). | ||
MGIS-650 | Introduction to Data Analytics and Business Intelligence |
3 |
This course serves as an introduction to data analysis including both descriptive and inferential statistical techniques. Contemporary data analytics and business intelligence tools will be explored through realistic problem assignments. Lecture 3 (Fall). | ||
MGIS Elective |
3 | |
Graduate Electives |
6 | |
Total Semester Credit Hours | 30 |