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.

Is a business analytics graduate program right for you?

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.

We remain committed to your success after graduation. Duquesne University connects you with a powerful network of more than 93,000 alumni across the globe. As a student and a graduate, the Center for Career Development will support your professional endeavors with lifelong career services.

STEM-Designated Master's Program
Our STEM-designated program sets you apart from other MS 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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Flexible Program

Complete the MS-AIM at your own pace with our flexible program options. Study full-time or balance your courses with your personal and professional responsibilities:

1 Year Pathway

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

View the Curriculum Guide. 

2 Year Pathway

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

View the Curriculum Guide. 

Certificate-to-MS Pathway 

  • Three (3) semesters to complete certificate and three (3) 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.

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

1-2-year

More in this Program

IST Mentoring Program

The Information Systems and Technology (IST) Mentoring Program connects MS-AIM students with experienced professionals and allows alumni to remain engaged with the School. It is led by Dr. Wenqi Zhou, an Associate Professor of IST, in collaboration with the Information Systems and Technology Advisory Council (ISTAC).

Program Details
Applications open at the beginning of September and students are matched with professionals based on specific criteria. The program runs during the Academic Year and is structured as follows:

  • Kick-Off—Introductory meeting between mentors and students. Together, they set goals and join the program's social media group.
  • 1:1 Meetings—Mentors and students schedule meetings on relevant topics to advance the student's goals.
  • Review—Mentors and students share their experiences and provide feedback on the program.

Program Contact

Dr. Wenqi Zhou

Associate Professor of Information Systems

Director of IST Mentoring Program

Wenqi Zhou

From Our Alumni

Shristee Sinha

"The program prepared me for the overall activities needed to be successful in a data analytics position. It not only gave me tools and techniques to perform the data analytics project but also showed me how it should be effectively communicated."

Shristee Sinha Master of Science in Analytics and Information Management '21

Curriculum

View Course Descriptions
The MS-AIM is a 30-credit cohort program, with students primarily progressing together on either a 1-year or 2-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.
  • ISYS 610 Analytics and Information Management (3 credits)
  • ISYS 611 Information Systems Ecosystem (3 credits)
  • ISYS 612 Data Querying (3 credits)
  • ISYS 620 Predictive Analytics with Machine Learning (3 credits)
  • ISYS 621 Database Design and Implementation (3 credits)
  • ISYS 622 Behavior Analytics (3 credits)
  • ISYS 630 Prescriptive Analytics and Decision Making (3 credits)
  • ISYS 631 Business Analytics Capstone (3 credits)
  • ISYS 625 Cloud Computing and Big Data Analysis (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

Upon graduation, you will have acquired: 
  1. Business Analytics Competency:
    Learners have the technical and data analytic skills necessary to provide new insights to solve business challenges. Learners will be able to: 
    • Perform analysis techniques with state-of-the-art tools.
    • Recommend appropriate methodologies or techniques to address a business problem.

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

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

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