Graduate Certificate in Analytics and Information Management

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.

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.

Learn more about our Graduate Certificate in Analytics and Information Management 
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!

 

Degree

Certificate

School

Palumbo-Donahue School of Business

More in this Program

Course Descriptions

Curriculum Guide
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
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
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
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
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 analysis to answer business questions. Advanced regression techniques, network concepts, and social theories will be covered throughout the course. Prerequisite: ISYS 610
Applied Statistics: (3 credits)
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

Predictive Analytics with Machine Learning: (3 credits)
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: (3 credits)
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 analysis to answer business questions. Advanced regression techniques, network concepts, and social theories will be covered throughout the course. Prerequisite: ISYS 610