Analytics and Information Management

Drive impactful, data-driven decisions in your business career with a Post-Baccalaureate Certificate (Graduate Certificate) in Analytics and Information Management from Duquesne University. This certificate program is designed for those who have completed an undergraduate degree and 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.

Graduate Viewbook

Analytics and Information Management Curriculum

The 15-credit Graduate Certificate in Analytics and Information Management program conveniently offers hybrid or 100% online business analytics courses. Invest in your business analyst career prospects by building professional competencies in data management and predictive, behavioral, and prescriptive analytics. Our forward-thinking courses explore topics such as data management's potential to create business value and how machine learning provides innovative solutions to various challenges. With business courses featuring project-based learning, your hands-on training equips you with the skills to be an adept data analyst in the business world.

Analytics and Information Management Courses

Build on your expertise with Duquesne's Master of Science in Analytics and Information Management. Every course in the certificate program can count toward your credits in the master's program, meaning you will consistently learn from seasoned experts and distinguished professionals throughout your graduate studies.

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.

Get a leg ahead with Duquesne's business analytics courses: request more info, attend an information session, or apply now!


Program Information

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



More in this Program

Course Descriptions

3 credits

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.
3 credits

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.
3 credits

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.
3 credits

Artificial Intelligence (AI) is a broad field that encompasses the development of systems capable of performing tasks that typically require human intelligence. This course primarily focuses on machine learning, the subset of AI that enables computers to learn and improve autonomously through experience without explicit programming. Over the past decade, machine learning has driven significant advancements such as self-driving cars, effective speech recognition, enhanced web search, and sophisticated analysis of the human genome. Businesses are increasingly adopting machine learning to gain actionable insights and support data-driven decision-making. In this course, 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
3 credits

In this course, students will learn how to analyze online behavioral data and apply the analysis results to explain phenomena and user choices occurred at online platforms, including e-commerce and social media sites. Various analytical techniques will be introduced, such as statistical comparison, controlled experiment, and linear and advanced regression models. In parallel, using real-world data, students will also learn the basic concepts in web analytics, search engines, social networks, etc. Through hands-on exercises and projects, students will apply these concepts and select appropriate techniques to answer business questions, summarized by reports and presentations. 

Prerequisite: ISYS 610 for level GR with minimum grade of C