MS in Analytics and Information Management (STEM)

Meet your professional potential with Duquesne's Master of Science in Analytics and Information Management (MS-AIM), a business analytics program that equips you to apply data models, explore analytical methods and prepare visualization tools that lead to informed and strategic business decisions.

Through project-based hybrid and online courses, you will learn to use state-of-the-art data analytics tools and establish experience making high-stakes and impactful recommendations in competitive management settings

Flexible Master's Degree - Choose your Pathway


Complete your MS in Analytics and Information Management at your own pace with our flexible degree options. Study full-time or balance your courses with your personal and professional responsibilities:

  • One-year pathway (three semesters): hybrid and online courses
  • One-year pathway (three semesters): 100% online courses*
  • Two-year pathway (six semesters): hybrid and online courses
  • Two-year pathway (six semesters): 100% online courses*
  • Certificate-to-MS pathway (three semesters to complete certificate + three additional semesters to earn an MS): hybrid and online courses.

*Most of the analytics and information management degree can be completed online with asynchronous courses, but the capstone class has several synchronous virtual meeting requirements.

Learn More About Duquesne's MS-AIM Degree


In the flexible Master of Science in Analytics and Information Management program, you will establish business expertise in data analytics and information management, develop dynamic techniques such as storytelling to share and implement your ideas and expand your understanding of data manipulation, data modeling, querying, machine learning and visualizations.

To learn more about Duquesne's MS in Analytics and Information management, request more info and attend an information session.

 

Program Type

Major

Degree

Master's

Duration

1-2-year

More in this Program

Is a business analytics graduate program right for you?

Our AACSB International-accredited MS in Analytics and Information Management program seeks students who are invested in learning new and emerging technologies, approaching new skills with a "growth mindset" and collaborating with peers, faculty and other experts in the data management field.

Once you graduate and take your expertise into the world, we remain committed to your success. The business analytics program at Duquesne University connects you with a powerful network of more than 93,000 alumni across the globe, and as a student and a graduate, the Center for Career Development will support your professional endeavors with lifelong career management services.

STEM-Designated Master's Program

Our STEM-designated program sets you apart from other MS degree holders. Duquesne University's rigorous analytics and information management degree is designed around interdisciplinary skills in technology and modeling, strategic approaches to complex business challenges and competitive business acumen for navigating a rapidly expanding global job market.

MS-AIM Courses

3 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 Hybrid Course, Lecture, Online. Offered fall only.
3 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 Hybrid Course, Lecture, Online. Offered fall and summer.
3 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 Hybrid Course, Lecture, Online. Offered fall and summer.
3 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-requisite: ISYS 610 for level GR with minimum grade of C (may be taken concurrently). Hybrid Course, Lecture, Online. Offered fall only.
3 credit hours

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 for level GR with minimum grade of C. Hybrid Course, Lecture, Online. Offered spring only.
3 credit hours

Abstract data types, stacks, queues, databases, priority queues, trees, linked lists, hashing, balanced trees, self-organizing data structures, and advanced sorting. Co-requisite: CPMA 530. Lecture, Online. Offered fall only.
3 credit hours

"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 for level GR with minimum grade of C. " 
Hybrid Course, Lecture, Online. Offered spring only.
3 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 Hybrid Course, Lecture, Online. Offered spring only.
3 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 for level GR with minimum grade of C. Hybrid Course, Lecture, Online. Offered summer only.
3 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 with minimum grade of C and ISYS 613 with minimum grade of C and ISYS 620 with minimum grade of C and ISYS 621 with minimum grade of C and ISYS 622 with minimum grade of C and ISYS 623 with minimum grade of C. " Hybrid Course, Lecture, Online. Offered summer only.

Specialize your degree with the courses that match your career aspirations. Use Duquesne's opportunities for credit sharing between programs to pursue a joint degree alongside your MBA, such as a JD, PharmD or MA in Communication, to obtain two graduate degrees at once.

Within the Professional MBA program, you can expand your career-specific skills with certificates in Analytics and Information Management, Finance, Supply Chain Management, or the hybrid Certificate in Entrepreneurship.