Analytics and Information Management

Transform Data into Business Insights — Become an expert in data analytics and information management with Duquesne's Master of Science in Analytics and Information Management (MS-AIM). Expand your understanding of data manipulation and modeling, querying, machine learning, and visualizations. Through project-based hybrid and online courses, you will use state-of-the-art tools and gain experience making high-stakes recommendations that lead to strategic business decisions.

Our AACSB International-accredited MS-AIM 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.

Flexible Program

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The M.S. in Analytics and Information Management is a 30-credit cohort program completed at your own pace with our flexible pathway options. Students typically progress together, on a one-year or two-year path.

With online or hybrid courses, you can choose to be full-time student or balance your studies with personal and professional responsibilities.

Explore Pathways

STEM-Designated Master's Program

Our STEM-designated program sets you apart from other M.S. degree holders. This degree is designed around interdisciplinary skills in technology and modeling, strategic approaches to complex business challenges, and competitive business acumen for navigating the rapidly expanding global market. 

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Program Information

Become an expert in data analytics and information management by expanding your understanding of data manipulation and modeling, querying, machine learning, and visualizations. Through project-based hybrid and online courses, you will use state-of-the-art tools and gain experience making high-stakes recommendations that lead to strategic business decisions.

Program Type

Major

Degree

Master's

School

Palumbo-Donahue School of Business

Duration

3-6 Semesters

Required Credit Hours

30

Modality

Online
Hybrid
Hyflex

More in this Program

Hear From Our Alumni

Photo of Giovanna Elo.

During job interviews, the language they were using and the systems they mentioned—it really clicked. I felt so prepared and could say, ‘I know how to use that.’”

Giovanna Elo, MS'25 Sales Administration Wholesale Analyst, Sol de Janeiro
Hear From Giovanna
Jeromy Lamya

Duquesne has made a transformative impact on my career and personal growth. Beyond academics, the faculty mentorship, collaborative environment, and focus on ethical leadership have shaped my approach to problem solving and decision making.”

Jeromy Lamya, MBA'24, MS'25 Business Consultant for Special Projects, Analytics and AI, SBDC at Duquesne University
Hear From Jeromy

MS-AIM Pathways

1 Year Pathway

  • Three (3) semesters
  • Hybrid and online courses or 100% 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.

2 Year Pathway

  • Six (6) semesters 
  • Hybrid and online courses or 100% 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.

Certificate to M.S. Pathway

  • Three (3) semesters to complete certificate and three (3) additional semesters to earn an M.S.
  • Hybrid and online courses

IST Mentoring Program

The Information Systems and Technology (IST) Mentoring Program connects MS-AIM students with experienced School of Business alumni. The program is led by Dr. Wenqi Zhou, in collaboration with the Information Systems and Technology Advisory Council (ISTAC). Students are matched with a mentor and meet during a kickoff networking event where they build rapport and set goals. Throughout the Academic Year, mentoring pairs meet one-on-one to continue building a relationship and make meaningful progress toward those goals. Applications open at the beginning of September.

Interested in becoming a mentor or mentee?

Reach out to Dr. Wenqi Zhou.

Dr. Wenqi Zhou.

Associate Professor of Information Systems

Director of IST Mentoring Program

Wenqi Zhou

Curriculum

View Course Descriptions
The MS-AIM is a 30-credit cohort program, with students primarily progressing together on either a one-year or two-year path. Courses are offered in online and hybrid formats. Hybrid courses have an on-campus evening class every other week, with asynchronous online coursework in the alternating weeks. Online courses are asynchronous.
  • GRBU 628—Project Management (3 credits)
  • ISYS 610—Analytics & Information Management (3 credits)
  • ISYS 611—IT Ecosystems, Risk & Compliance (3 credits)
  • ISYS 612—Data Querying (3 credits)
  • ISYS 620—Predictive Analytics with Machine Learning (3 credits)
  • ISYS 621—Database Design & Implementation (3 credits)
  • ISYS 622—Behavioral Analytics (3 credits)
  • ISYS 625—Cloud Computing & Big Data Analytics (3 credits)
  • ISYS 630—Prescriptive Analytics & Decision Making (3 credits)
  • ISYS 631—Business Analytics Capstone (3 credits)

Accreditation

The Association to Advance Collegiate Schools of Business (AACSB) awarded Duquesne's undergraduate and graduate Schools of Business its full accreditation. The AACSB accreditation is recognized as a global mark of distinction. Less than 6 percent of the world's more than 1,200 business schools have passed the rigorous review necessary to earn the honor.

Association to Advance Collegiate Schools of Business (AACSB)

Association to Advance Collegiate Schools of Business (AACSB) Accredited Logo

Learning Outcomes

Business Analytics
Learners have the technical and data analytic skills necessary to provide new insights to solve business challenges.
  • Perform analysis techniques with state-of-the-art tools.
  • Recommend appropriate methodologies or techniques to address a business problem.

Data Stewardship
Learners assist businesses by ensuring access to quality data for decision making.
  • Capture, manage, transform, and protect critical data.
  • Assess the quality of data and to apply appropriate techniques to improve quality.

Actionable Communication
Learners communicate analytic insights that create the opportunity for innovation and bottom line results.
  • Communicate the findings, relevance and potential impact of their analyses to support and influence decisions and strategic change in the organization.

Ethical Mindset
Building on a rich history, Duquesne learners have a holistic view regarding the ethical implications of data usage.
  • Identify legal and ethical issues regarding data and will be prepared to act consistently with ethical principles including those of responsibility, rights, and diversity.