Master of Science in Analytics and Information Management (M.S.-A.I.M.)

Master of Science in Analytics and Information Management 

The M.S.-A.I.M. program is a 30-credit program of study that can be completed on a 1-year or 2-year path. The program appeals to a range of potential students, including technical professionals who are looking to restart or retool their careers, professionals who are seeking a relevant management credential, non-technical or non-business professionals who are seeking to enter the data analytics or information systems field. The M.S.-A.I.M. program is STEM designated.

Duquesne's M.S.-A.I.M. curriculum focuses on (1) how to apply models, analytical methods, and visualization tools to data, producing insights that lead to better business decisions (2) the identification, capture, integration, management, and protection of data and (3) eliciting and communicating business requirements and analytical insights. At the completion of the program students should understand and gain experience in data governance, project management, data mining, data querying

Program Learning Competencies and Objectives

At the completion of the M.S.-A.I.M., students will demonstrate proficiency in the following key areas:

Business Analytics

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.
• Learners will be able to recommend appropriate methodologies or techniques to address a business problem. 

Data Stewardship

Learners assist businesses by ensuring access to quality data for decision making

• Learners will be able to capture, manage, transform, and protect critical data.
• Learners will be able to 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.

• 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. 

Ethical Mindset

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. 

Graduation Requirements for the M.S.-A.I.M. Program

30 Credits