Analytics and Information Management (STEM)

Required coursework can be completed in as few as 10.5 additional credits.

Make a difference in your organization with a STEM MBA. By completing the Professional MBA with a Certificate in Analytics and Information Management, you'll demonstrate your analytical skills to employers and earn an in-demand credential.

Drive impactful, data-driven decisions in your business career with a Graduate Certificate in Analytics and Information Management from Duquesne University. This certificate program is designed for working professionals who want to expand their knowledge of business analytics.

With both hybrid and online courses offered, you can complete the five courses at your own pace and in as little as one year. Duquesne's AACSB-accredited program features the faculty expertise that results in career-ready training to grow your technical skills as a business analyst. We also prioritize real-life collaborations with peers, businesses, and industry leaders that build your networks and broaden your career horizons.

Pursue a graduate certificate program that is flexible with your schedule, convenient to your professional goals, and ideal for a career in business analytics. Secure top-tier business analyst training by completing the Certificate in Analytics and Information Management at your own pace.

Learn more about Graduate Business application requirements




Required Credit Hours


Certificate 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

Offered in online and hybrid modalities every fall semester.

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

Substitutes for ISYS-525 Managing Information (1.5 cr.) in the MBA curriculum. Offered online every fall and summer semester.

3 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

Offered in online and hybrid modalities every fall semester.
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 Analytics and Information Management. 

Offered in online and hybrid modalities every spring semester.
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 Analytics and Information Management.

Offered in online and hybrid modalities every spring semester.
Already completed the associated MBA courses? You can still pursue the Certificate in Analytics and Information Management for a total of 12 additional credits.

Current Professional MBA students who enrolled prior to Fall 2021 may choose to complete a prior AIM certificate curriculum.

STAT-510 Applied Statistics may be substituted for ISYS-620 or ISYS-622.


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