Master of Business Administration with Accounting Data Analytics Certificate Online
Become an influential decision-maker while you broaden your analytics skills, develop vital accounting expertise and prepare to sit for the state CPA Exam.
Apply by:
12/16/24
Start class:
1/13/25
Program Overview
Lead in business with the MBA in Accounting Data Analytics
Total Tuition
$15,270*
Duration
As few as 12 months
Credit Hours
30
Gain the business credentials needed to tackle administrative and management roles in the high-demand, high-earning accounting and data analytics industries. This AACSB-accredited Master of Business Administration with Accounting Data Analytics Certificate includes courses that will bridge the gap between accounting and information systems. There is also an enhanced focus on the technology skills and software vital for today's data-rich environment.
Study advanced areas such as mergers and acquisitions (M&A), taxation and corporate accounting, and advanced financial statements. Understand accounting and business foundations and engage in fraud detection and auditing using machine learning and data mining techniques when complex, computer-driven financials are the norm. Join our top-rated community to prepare for the CPA Exam.
All courses are taught completely online by supportive faculty and are offered with multiple start dates, so you can study when and where it best fits your schedule. No GMAT is required for admission.
Graduates of the online MBA Accounting Data Analytics will:
- Gain real-world experience through extensive hands-on work that surrounds you with the language of business as you develop your skills in data analysis, data visualization, data mining, modeling, forecasting, statistics, and business communication, including how to use data to tell a business story
- Place an enhanced focus on the technology skills and business analytics software vital for today's data-rich environment while still being grounded in the accounting, auditing and financial reporting background necessary to sit for the CPA Exam
- Prepare to tackle advanced areas such as mergers and acquisitions (M&A), taxation and corporate accounting, advanced financial statements, and advisory and consulting roles.
- Understand accounting and business foundations and engage in fraud detection and auditing using machine learning and data mining techniques when complex, computer-driven financials are the norm
- Develop vital accountancy skills and prepare to sit for the state CPA Exam by deepening your knowledge and strengthening your strategic thinking, business acumen, and communication to become a decision-maker to influence and help the industry to improve
- Gain real-world experience through extensive hands-on work that surrounds you with the language of business as you develop your skills in data analysis, data visualization, data mining, modeling, forecasting, statistics, and business communication, including how to use data to tell a business story
- Place an enhanced focus on the technology skills and business analytics software vital for today's data-rich environment while still being grounded in the accounting, auditing and financial reporting background necessary to sit for the CPA Exam
- Prepare to tackle advanced areas such as mergers and acquisitions (M&A), taxation and corporate accounting, advanced financial statements, and advisory and consulting roles.
- Understand accounting and business foundations and engage in fraud detection and auditing using machine learning and data mining techniques when complex, computer-driven financials are the norm
- Develop vital accountancy skills and prepare to sit for the state CPA Exam by deepening your knowledge and strengthening your strategic thinking, business acumen, and communication to become a decision-maker to influence and help the industry to improve
Career Opportunities:
- Senior Financial Analyst
- Accountant
- Director of Finance
- Accounting Manager
- Financial Risk Specialist
- Senior Financial Analyst
- Accountant
- Director of Finance
- Accounting Manager
- Financial Risk Specialist
Accreditation
The College of Business and Management at the University of Illinois Springfield is accredited by AACSB International (AACSB). Fewer than 6% of business schools worldwide have earned this symbol of the highest standard in management education.
Also Available:
UIS offers a variety of specialized MBA programs. Check out all of our online MBA concentrations
Total Tuition
$15,270*
Duration
As few as 12 months
Credit Hours
30
Accreditation
The College of Business and Management at the University of Illinois Springfield is accredited by AACSB International (AACSB). Fewer than 6% of business schools worldwide have earned this symbol of the highest standard in management education.
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Tuition
Find out about our pay-by-the-course tuition
Earn a world-class education for less than you’d expect. Our pay-by-the-course tuition fits easily into your budget.
| Program | Per Credit Hour | Per Course | Per Program |
|---|---|---|---|
| MBA Accounting Data Analytics | $509 | $1,527 | $15,270* |
*Total cost is estimated at $1,527 per course based on a semester fee schedule. Please note that students in the online MBA are not eligible to participate in the GA programs or use University of Illinois Employee/Child of Employee Tuition Waivers.
Tuition breakdown:
Total Tuition
$15,270*
Per Credit Hour
$509
| Program | Per Credit Hour | Per Course | Per Program |
|---|---|---|---|
| MBA Accounting Data Analytics | $509 | $1,527 | $15,270 |
*Total cost is estimated at $1,527 per course based on a semester fee schedule. Please note that students in the online MBA are not eligible to participate in the GPSI/GA programs or use University of Illinois Employee/Child of Employee Tuition Waivers.
Tuition breakdown:
Total Tuition
$15,270*
Per Credit Hour
$509
Calendar
How the MBA Accounting Data Analytics fits your schedule
Designed for working professionals, UIS Online programs feature multiple start dates per year, so you can begin at the time that best fits your schedule and complete your degree quickly.
Now enrolling:
Next Apply Date
12/16/24
Next Class Start Date
1/13/25
| Term | Start Date | App Deadline | Document Deadline | Registration Deadline | Tuition Deadline | Class End Date | Term Length |
|---|---|---|---|---|---|---|---|
| Spring 2025-1st Half | 1/13/25 | 12/16/24 | 1/2/25 | 1/8/25 | 1/12/25 | 3/15/25 | 8 weeks |
Now enrolling:
Next Apply Date
12/16/24
Next Class Start Date
1/13/25
Have questions or need more information about our online programs?
Ready to take the rewarding path toward earning your degree online?
Admissions
Get started with this simple admission process
We’ve streamlined our admission process to save you time and effort. Just follow these simple steps to apply.
Admission Requirements:
- Bachelor's degree from a regionally accredited college or university
- No GMAT required
- All official transcripts
Applicants to the UIS Online MBA Accounting Data Analytics must meet at least one of the following combinations for admission.
- Master’s degree or higher from a regionally accredited college or university
- Bachelor's degree in business from a regionally accredited college or university with a 2.5 GPA or higher
- Bachelor's degree with a non-business major from a regionally accredited college or university with a 2.5 GPA or higher and completion of gateway prerequisite courses BUS 501 Business Perspectives and ACC 505 Fundamentals of Business Decisions Making
Note: Students in the online MBA are not eligible to participate in the GA programs or to use University of Illinois Employee/Child of Employee Tuition Waivers.
Courses
What’s included in the accounting data analytics MBA curriculum?
For the online MBA Accounting Data Analytics program, you must complete 10 courses totaling 30 credit hours, including 21 credit hours of core courses, and nine credit hours of electives.
Based on Admission Requirements Standing per student
BUS 501: Business Perspectives
Duration: 8 Weeks weeks
Credit Hours: 3
This is the gateway course to the MBA curriculum that introduces the core concepts in functional areas of management, marketing, finance and operations with an emphasis on application to business situations. Concepts are integrated through case analyses to pursue in-depth study of functional area topics throughout the graduate business curriculum. Other topics include ethical issues and the roles of globalization, diversity, technology, entrepreneurship, and innovation in business.
*Only needed if you have a non-business UG degree.
ACC 505: Foundations of Business Decision Making
Duration: 8 Weeks weeks
Credit Hours: 4
Discusses relevant elements of statistics, microeconomics, and accounting as they apply to administrative justification of decisions. Topics include data description, probability, sampling, supply and demand, and fundamentals of financial and managerial accounting such as financial statements and profitability analysis.
BUS 522: Production and Operations Management
Duration: 8 Weeks weeks
Credit Hours: 3
Operations management concerns the production and delivery of goods and services. This course focuses on those business processes, procedures and strategies used to transform various inputs into finished goods and services. Focus is on both understanding how the provision of goods is organized and managed and recognizing potential areas of improvement in the management or production of goods and services. Also of major study will be how operations management interfaces with other functional areas and the various issues and problems that traditionally arise in the field of operations management, including those related to technology, globalization, and ethics. Students who have not completed Managerial and Finance Accounting, Microeconomics and/0r Macroeconomics will be placed in ACC 505.
ACC 509: Management Accounting
Duration: 8 Weeks weeks
Credit Hours: 3
Study of planning and internal management decision making and the use of accounting systems for control.
BUS 583: Business Strategy
Duration: 8 Weeks weeks
Credit Hours: 3
This course emphasizes the formulation of organizational missions and the implementation of policies and strategies to assure their achievement. This course focuses on the oversight of entire operations in light of stakeholder expectations and legal and ethical considerations. Capstone Course
Course Objectives
- Develop and practice the ability to think strategically and define business strategy
- Evaluate the effects of political, cultural, legal, market and socioeconomic forces and analyze industry environment
- Conduct an analysis of strengths, weaknesses, opportunities, and threats
- Identify ways to create competitive advantage and superior firm performance
- Develop business-level and corporate-level strategies
- Analyze complex business problems, evaluate possible solutions, apply various frameworks
MIS 525: Information Technology Management
Duration: 8 Weeks weeks
Credit Hours: 3
This course will cultivate familiarity with a broad range of managerial as well as technical issues, technologies, and terminologies such as information systems high-level architecture and life cycle, information flow within organization, managerial decision making tools, data quality control and assurance, ethical and legal aspects of IS, and successful implementation of IS projects.
BUS 541: Organizational Behavior
Duration: 8 Weeks weeks
Credit Hours: 3
Examination of impacts of individuals, groups, and structural attributes on behavior within organizations.
FIN 502: Managerial Finance
Duration: 8 Weeks weeks
Credit Hours: 3
Concepts and variables include those used in financial analysis, planning, and control. Topics include financial forecasting, capital budgeting, leverage, valuation, cost of capital market and related legal/ethical issues.
BUS 512: Marketing Management
Duration: 8 Weeks weeks
Credit Hours: 3
Study of the conceptual foundations and practices of contemporary marketing as well as the planning, implementation, and control of the marketing function. Topics include situation analysis; marketing objectives; target market selection; and product, promotion, pricing, and physical distribution decisions.
All students must complete MIS 576 and MIS 542.
Students must choose to complete either ACC 535 or ACC 536.
MIS 542: Management of Database Systems
Duration: 8 Weeks weeks
Credit Hours: 3
Database design theory and development techniques are covered where the main focus is on the relational databases. Topics discussed include data modeling theories (entity-relationship diagrams) and theory implementation in CASE tools, data definition language to create physical databases in commercially available RDBMS such as Oracle 9i, data manipulation language and Structured Query language (SQL) to manage data within the database, client/server, distributed and Internet databases architectures, form and report design using Microsoft Access database. The main goal is to train the students to assume roles such as database analyst/designer or administrator throughout their professional career. Curricular Practical Training (CPT) eligible. Access to the internet is required.
Course Objectives
- Express and explain the fundamental knowledge to become a Database Administrator (DBA)
- Review and summarize current trends in database technologies and popular DBMS products
- Design and develop working database applications
- Use SQL as foundation to build a database-driven reporting system
- Integrate and apply technical knowledge including programming, website building, and network communication on a database project
Learning Outcomes
After completing this course, students will be able to do the following:
- Use SQL SELECT statement to retrieve data from an existing database
- Describe and use Data Definition Language (DDL) and Data Manipulation Language (DML)
- Analyze data requirements using Entity-Relation Diagram (ERD)
- Build a relational database using a popular Database Management System (DBMS, currently, Oracle 18c, Oracle Cloud, and Oracle Express Edition 18c)
- Build interfaces to interact with the relational databases through database access standards (ODBC, JDBC, and XML)
- Use a scripting language such as PHP and JavaScript as well as Procedural SQL (PL/SQL) to provide customized features in a web-based reporting system
- Understand the current development of database technologies, such as cloud, NoSQL, and data-enabled artificial intelligence
MIS 576: Data Mining for Business Analytics
Duration: 8 Weeks weeks
Credit Hours: 3
An in-depth knowledge of several data mining concepts, processes, and techniques including both supervised and unsupervised techniques. Comprehension, application and evaluation of the data mining techniques will develop the expertise to analyze data for better decision-making. Prerequisite or Co-requisite: MIS 542.
Course Objectives
- Understand the basic concepts of supervised and unsupervised data mining techniques
- Apply data mining process to transform data into information and further generate knowledge from information
- Perform data exploration and visualization, and dimension reduction
- Apply different supervised and unsupervised data mining techniques to generate meaningful insights from data
- Evaluate the predictive performance of a data mining method
- Apply data mining for business analytics to develop predictive models
Learning Outcomes
After completing this course, students will be able to do the following:
- Demonstrate the ability to extract and transform data and use dimension reduction techniques to prepare data for data mining to help in developing data exploration and transformation expertise
- Demonstrate the ability to explore data and visualize the data using Tableau and/or SAS Enterprise Miner to help in developing data exploration and visualization expertise
- Demonstrate the ability to use supervised learning techniques to generate meaningful insights from data to help in developing the expertise to create a predictive model using data mining tool(s); provide expertise to evaluate the predictive performance of a data mining method
- Develop the expertise using unsupervised learning techniques for exploratory analysis and generating meaning insights from data using data mining tool(s) and technique(s)
- Demonstrate the ability to use SEMMA (Sampling, Exploring, Modifying, Modeling, and Assessing) as a data mining process for business analytics, to develop predictive models; and evaluate the predictive performance including scoring of a data mining method using data mining tool(s)
ACC 535: Accounting Information Systems
Duration: 8 Weeks weeks
Credit Hours: 3
Application of techniques and tools regarding implementing accounting information systems in an organization. Topics include data modeling, databases, control and risk assessment, ethical implications of information technology
ACC 536: Data Analytics in Accounting
Duration: 8 Weeks weeks
Credit Hours: 3
Development of an understanding of accounting analytics concepts and skills regarding analytic techniques, data mining, communication of accounting data analysis results, data ethics issues, and implications of changes in digital technologies on accounting and auditing fields.
