Analytics and Information Management/MBA

A combined 72 credits for these two degrees (30 credits for the M.S. in Analytics and Information Management and 42 credits for the MBA) is reduced to 67.5 credits through credit-sharing.

Graduate Viewbook

How to Apply

Students must apply and be accepted to both programs of study. Students may begin their studies in either program.  Students who successfully complete all requirements will receive two degrees and two diplomas. The degrees must be conferred simultaneously.

Tuition Information

While the student is enrolled in both the MS in Analytics and Information Management and the MBA programs, the Professional MBA tuition rate will apply for all terms except any term during which a student is enrolled exclusively in MS-AIM courses. During those terms, the MS-AIM tuition rate will apply.

Curricula Details

Students will earn credits toward the MS-AIM for either ISYS-620 Predictive Analytics with Machine Learning or ISYS-622 Behavior Analytics with Visualization by taking STAT-510 Applied Statistics (3 credits).

Students will earn credits toward the MBA for ISYS-525 Managing Information (1.5 credits) by taking ISYS-611 Information Systems Ecosystem (3 credits).

Based on prior coursework, students may also be eligible for advanced standing credits for ACCT-501 Accounting Fundamentals, ECON-501 Economics Fundamentals, FINC-501 Finance Fundamentals, and STAT-501 Statistics Fundamentals, each 1.5 credits for a maximum total of 6 credits.


Program Information

Hone your vast potential with a Professional Master of Business Administration degree from Duquesne University, and meet your professional potential in Duquesne's Master of Science in Analytics and Information Management program.

Program Type

Dual Degree



Required Credit Hours


MS-AIM Courses

3.0 credit hours

Statistical and technical understanding are essential for the AIM professional.  This course focuses on creating a solid foundation of technical skills, which will be applied in downstream courses.  Topics will include programming concepts and logic, descriptive, predictive and prescriptive statistics, and data storage techniques.
Prerequisites: None
3.0 credit hours

Within the context of data analytics, this course teaches students to manage information as a strategic asset with the potential to create significant business value.  Students will be exposed to various approaches to managing the capture, retention and disposition of information.  Special emphasis will be placed on the legal/regulatory, ethical, risk management and cybersecurity requirements of managing information.  Topics include the role of information systems in an organization, information systems governance (which is designed to ensure that IT investments create organizational value), data governance (which seeks to ensure that organizational data meet the standards for quality data), and strategies for identifying measurable sources of ROI.
Prerequisites: None

3.0 credit hours

Modern organizations use database management systems to store their critical business data.  In this course, students learn to answer business questions using various data retrieval, manipulation and transformation tools.  For instance, data retrieval for most data-driven business applications relies on Structured Query Language (SQL) – the international standard language for data manipulation and retrieval.  To source the data required by analytics projects, students will learn to utilize SQL along with other data-related concepts and languages.
Prerequisites: None
3.0 credit hours

Increasingly, organizational decision-making relies on data available from a diverse collection of sources. This course covers the objectives, methods and skills for sourcing data from both internal and external data sources. Students will be exposed to numerous data sourcing techniques and methods including ingesting data from common file formats, web APIs (application programming interfaces), and web scraping.   Students will also learn a variety of methods for examining and enhancing the quality of acquired data. Pre- or co-requisite: ISYS 610
3.0 credit hours

One of these is substituted by STAT-510 Applied Statistics

Predictive Analytics with Machine Learning:
Artificial intelligence (AI) is the science of getting computers to learn and solve problems autonomously without being explicitly programmed (machine learning). In the past decade, through machine learning, AI has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Companies are increasingly applying AI technologies and techniques to uncover new business insights and assist managers with making better informed and timely decisions. This course will cover concepts and algorithms in artificial intelligence with an emphasis on machine learning. Students will learn about the most fundamental machine learning techniques, gain practice implementing them and applying them to new problems. Prerequisite: ISYS 610

Behavioral Analytics with Visualization:
E-commerce and social media have experienced rapid growth during the past decade. Billions of users have been generating and sharing a variety of social content including text, images, videos, and related metadata. Social media can be viewed as an indicator reflecting different aspects of the society, and organizations can combine this with their existing data to support organizational decision-making. In this course, students will learn how to analyze behavioral data and apply the analyses to answer business questions. Advanced regression techniques, network concepts, and social theories will be covered throughout the course. Prerequisite: ISYS 610
3.0 credit hours

Organizations have more opportunities than ever before to collect, organize and store internally- and externally-generated data.  Such data are used to support organizational operations, managerial decision-making, and strategic planning.  This course will examine multiple types and sources of data, including how it is collected and stored in relational and non-relational databases.  The focus is on understanding the structure of the data and designing structures appropriate for various organizational needs.   Prerequisites: None
3.0 credit hours

Two foundational attributes of an outstanding data analyst are: 1) a fundamental ability to ask insightful business questions using a purposeful, scientific approach, and 2) to be able to tell a ‘story’ regarding how the results of the analytical process can be turned into operational assets for different stakeholders.  Industry leaders find that being able to build and tell a story using the data are becoming even more critical than the data extraction skills alone.  As such, a focus of this course is building Socratic questioning and storytelling abilities within the analytics ecosystem.  Other course topics will include project management methodologies, decision-making models, persuasive presentation techniques, and business process documentation. Prerequisites: None
3.0 credit hours 

The 21st century has been called by many ‘The Century of Data.’ The explosion of social media and the digitization of many aspects of social and economic activity have resulted in the creation of large amounts of rich data in a variety of formats. By applying advanced analytical techniques to these data, organizations hope to uncover hidden insights that will yield competitive advantages. This course will introduce strategies and methods for developing meaningful business intelligence to assist managers in making decisions in complex environments. The focus will be on using data analysis to make managerial recommendations as opposed to collecting and managing the data itself. The key objective of this course is to equip students with knowledge about how organizations are applying analytical techniques in various business situations, as well as the associated technical, conceptual and ethical challenges associated with the application of such techniques.  Prerequisite: ISYS 610
3.0 credit hours

In this course, student teams work with a real company to develop a data analytics-based recommendation for advancing the business.  The project is the program’s capstone experience designed to provide students the opportunity to utilize the methods, skills and techniques acquired throughout the program to solve a real-world business challenge.  In doing so, students will experience what it is like to make high-stakes and impactful recommendations to top management under time-pressure and with high expectations for quality and analysis.
Prerequisites: ISYS 612, ISYS 613, ISYS 620, ISYS 621, ISYS 622, and ISYS 623

Professional MBA Curriculum and Course Descriptions

1.5 credit hours 

This course provides graduate business students with an introduction to fundamentals of accounting for corporations. Topics will include the accounting cycle, an introduction to the basic financial statements of a corporation and determinations of corporate profitability and solvency. Online. Offered every semester.
1.5 credit hours 

The course is a prerequisite for ECON 520 and covers introductory topics in both microeconomics and macroeconomics. Online. Offered every semester.
1.5 credit hours 

Financial Management is about decisions firms make in two broad areas: the investments it makes and how it pays for them. The first involves expenditures for physical capital, human capital, technological capability, brand capital, and so forth. The second involves raising money in financial markets. In business decision making, the objective is to maximize shareholder wealth. Why the emphasis on shareholders? Among stakeholders generally (i.e., customers, employees, suppliers, government, communities, etc.), shareholders alone possess a uniquely comprehensive and long-term view of the firm’s viability as an ongoing enterprise. This perspective arises from the residual nature of shareholders’ claim to earnings and assets. Wealth is created when the return from investing business resources exceeds their opportunity cost. FINC 501 Finance Fundamentals provides an introduction to fundamental topics which are prerequisite for FINC 530 Financial Management:
• Financial Statements and Ratio Analysis
• Financial Statement Forecasting
• Time Value of Money

Pre-Requisite: ACCT 501 for level GR with minimum grade of C (may be taken concurrently). Online. Offered every semester.
1.5 credit hours 

This course provides the necessary foundation in probability and statistics necessary for students looking to go on to study the application of statistics to business. In this course, students will learn the rules of probability, how to identify and use common probability distributions, and how to conduct basic hypothesis tests.
3.0 credit hours

In this course, students will learn how to apply statistical methods of inference, produce and interpret statistics that attempt to answer typical business questions, and use probability theory and statistical methods to draw conclusions. Students are required to arrive having a working understanding of basic probability and statistics up through and including hypothesis testing. This course places heavy emphasis on the application of statistical techniques to business problems and the interpretation of results for a non-technical audience.

PR: STAT 501
1.5 credit hours 

The primary responsibility of all managers is to make decisions in situations in which there are multiple competing objectives. This course introduces students to a set of tools that can be applied to scenarios in a variety of business environments. Specifically, this set of tools will include data summarization, data visualization, optimization methods, Monte Carlo simulation, multi-criteria decision analysis, and decision trees. Subsequent courses in the program will utilize these analytical methods within their specific decision environments.
1.5 credit hours 

This course examines the ways in which leaders, managers, and employees can improve employee performance and commitment – key factors underlying competitive organizations. Guided by an examination of contemporary research and real-world cases, students will develop the knowledge and tools needed to help them navigate the opportunities and challenges inherent in managing themselves and others to generate enduring social and financial value, while incorporating long-term sustainable business objectives into the vision for the firm.
3.0 credit hours 

This course provides graduate business students with a deeper understanding of the accounting cycle used in companies to produce both internal and external financial information.  Special emphasis is placed throughout the course on understanding, analyzing and interpreting financial statements and related information.  Additionally, students will be introduced to decision making tools such as ratio analysis and challenged to utilize them to critically evaluate financial information and make effective decisions.  The basics of corporate sustainability reporting will also be covered.  Prerequisite: Online Accounting Module to be completed prior to ACCT 715; material to be tested in ACCT 715.
3.0 credit hours

The course covers selected topics in microeconomics. It emphasizes the integration of microeconomic theories and tools from a managerial perspective. The applied aspect of the course comes from analyzing case studies and studying empirical evidence of the theories. Topics include both traditional topics in microeconomics (quantitative demand analysis, elasticities, production and costs, market structures and profit maximization), in addition to advanced topics (game theory and pricing strategies).   CO or PR: STAT 510
1.5 credit hours

Supply Chain Management (SCM) is the business process that has evolved from the integration of the traditional business disciplines of forecasting, demand planning, materials planning, purchasing, production, operations management, transportation, inventory management, warehousing, packaging, materials handling, customer service, and related information systems.  SCM focuses on efficient and effective customer satisfaction from the exchange of goods, services and information to complete the business transaction from supplier’s supplier to customer’s customer. This course provides insight into the goals and best practices of each business discipline included in the SCM process, and how these disciplines integrate to ensure a competitive advantage and corporate success.  Students will assess industry specific differences in managing the flow of materials, goods, services, information and cash via the processes, technologies, and facilities that link primary suppliers through to ultimate customers for both service and product industries.
3.0 credit hours 

Financial Management is about decisions firms make in two broad areas: the investments it makes and how it pays for them. The first involves expenditures for physical capital, human capital, technological capability, brand capital, and so forth. The second involves raising money in financial markets. In business decision making, the objective is to maximize shareholder wealth. Why the emphasis on shareholders? Among stakeholders generally (i.e., customers, employees, suppliers, government, communities, etc.), shareholders alone possess a uniquely comprehensive and long-term view of the firm’s viability as an ongoing enterprise.  This perspective arises from the residual nature of shareholders’ claim to earnings and assets.  Wealth is created when the return from investing business resources exceeds their opportunity cost. 
FINC 530 Financial Management provides an advanced discussion of the analytical techniques used to assess the impact of business decisions on shareholder value.  The course covers these topics:
• Valuation—stocks, bonds, corporate valuation
• Interest rates and financial markets
• Investment decision making (capital budgeting analysis)
• Risk, return and the opportunity cost of capital
• Market efficiency
• Capital structure

PR: FINC 501, ACCT 515, STAT 510, GRBU 503
3.0 credit hours 

This course examines the role of marketing in creating exchanges that satisfy consumer and organizational objectives thereby creating value for the firm.  The course focuses on formulating and evaluating marketing strategies.  Students learn how marketing mix decisions – product, place, promotion and price – are made as part of a cohesive strategy.  Contemporary concepts and theories will be presented with a focus on analytical and financial models that will assist marketing managers in making better decisions.  Emerging perspectives on strategic sustainability, marketing management and the impact of digital media are also emphasized.
PR: ECON 501
1.5 credit hours 

Strategic sustainability advances students’ managerial skills for identifying, researching, evaluating and communicating innovative opportunities involving the efficient and effective management of financial, social, and environmental resources.

Building on our commitment to the Principles for Responsible Management Education (PRME), this course experience serves as a foundation for strategic sustainability, models and tools across the curriculum. 

Students work individually, and in teams to frame problems, research and develop training seminars, and manage resources for assigned topics.  The focus is inspiring innovation, and creating competitive advantage – both short and long term – for organizations.  Deliverables include presentations of mini training seminars to peer, analytical life cycle assessment along with participation in class discussions while applying critical thinking to identify productivity gains, cost savings, revenue increases, and profit growth when implementing sustainable business practices. 

The course is taught as a seminar where sharing learning, best practices and sustainability knowledge across teams and individuals enables all to gain insight to emerging issues beyond the scope of a single entity. Students work within an integrated curriculum to analyze internal/external situations, drivers and risks; to identify problems and opportunities; to evaluate return on investment from alternative courses of action; and to value both short- and long-term prosperity.  Students independently learn about, apply, and reflect on proven models and methodologies while honing their skills as a researcher, analyst, writer, and speaker. 
PR: GRBU 503

1.5 credit hours 

This course helps students acquire the knowledge and skills needed to interact and manage effectively in a global business environment.  Students will be exposed to international aspects of organizational behavior, human resource management, labor relations, corporate strategy, political risk and ethical issues.  Overall, this course is designed to raise students' international business acumen as well as their cultural intelligence.  While business is an increasingly global proposition, cultural differences impact everything from how employees are hired to how they are led to how business strategies are formed.
3.0 credit hours 

This is a dynamic course that provides an overview of executive leadership and opportunities to interact with senior managers.  The course draws on the collective experience and wisdom of distinguished business leaders who visit the class to provide students with executive perspectives on the challenges associated with thinking entrepreneurially, strategic leadership, developing a vision and motivating organizational change.  Students use a variety of conceptual frameworks in leadership and related areas to assess and evaluate these “executive insights” (e.g., via papers and projects) with an eye toward developing their own leadership skills, particularly their ability to seize opportunities and create effective solutions for the contemporary challenges facing business leaders.
3.0 credit hours 

This course addresses the process of planning and implementing business strategies. In order to develop a future direction for an organization, this class builds on the formulation of a company’s mission, industry analysis, an organization’s internal assessment, innovation, and strategic planning. This course emphasizes corporate governance, sustainability, and ethics in strategic management.
3.0 credit hours 

The second half of our integrative capstone sequence, the Capstone Project involves students teams working with a real company client to develop  a set of strategic recommendations for advancing the business.   In this course, students will assess the firm’s strategic context and diagnose its internal operations as well as its products and/or services as they relate to customer needs.  In doing so, students will experience what it is like to make high-stakes and impactful recommendations to top management under time pressure and with high expectations for quality and analysis.  Final deliverables for each team include a detailed report that lays out specific action steps and metrics (e.g., for productivity gains, cost savings, increased revenues/profit growth) as well as a sophisticated presentation to company management that highlights the team’s analysis and recommendations.  
PR or CO MGMT 540
*These courses may be awarded as advanced standing credit based on previous coursework.