Lilia Pavlovsky
Teaching Professor of Library and Information Science
Coordinator of the Technology, Information, and Management Concentration
Director of the Master of Information Program
lilia.pavlovsky@rutgers.edu
Technology, Information, and Management Concentration
This concentration develops your analytical, management, and leadership expertise and will enable you to engage in an array of functions in modern organizations, including competitive intelligence, data curation and analysis, information and project management, knowledge sharing, and strategic decision-making.
Concentration Goals and Objectives
This concentration’s goal is to develop you as an agile information professional capable of serving as a leader and innovator in your organization and profession. You will be able to assume roles that employ an understanding of how information is best applied, managed and created to support organizational objectives. You will also acquire the technological acumen to be able to develop and manage information systems and applications.
Requirements for Technology, Information, and Management Concentration
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36 credits, plus 3 zero-credit courses
Zero-credit Courses (required for all students):
- 17:610:501 Introduction to Library and Information Professions
- 17:610:502 Colloquium in Library and Information Studies
- 17:610:503 Professional Capstone
Technology Requirement (3 credits):
All students (unless specializing in Data Science) must take one of the following technology courses to fulfill this requirement.
- 17:610:550 – Introduction to Information Technologies
Waivers for the technology requirement or for courses requiring it as a prerequisite may be granted with approval. Please contact Associate Teaching Professor Anselm Spoerri, course coordinator, regarding questions or waiver requests for this course.
OR
- 17:610:552 – Computational Reasoning
Students specializing in Data Science must take 17:610:552 – Computational Reasoning to fulfill this requirement. Please contact Assistant Teaching Professor Suchinthi Fernando, course coordinator, regarding questions or waiver requests for this course.
This requirement applies to all students pursuing the Data Science concentration who begin the program in Fall 2026. Students who started prior to Fall 2026 and are in the Data Science concentration are encouraged to take Computational Reasoning, but it is not required.
Foundational Requirements (select 2 courses / 6 credits):
Note: Refer to the specific course study plans to see if a particular foundation course is required for your concentration.
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Concentration-specific Requirements (4 courses / 12 credits):
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Concentration Electives (select 3 courses / 9 credits):
- 17:610:511 Research Methods
- 17:610:524 Metadata for the Information Professional
- 17:610:534 Record Management
- 17:610:560 Foundations of Data Science
- 17:610:561 Data Analytics for Information Professionals
- 17:610:562 Problems Solving with Data
- 17:610:567 Information Security Management
- 17:610:577 Information and Communication Project Management Theories and Best Practices
- 17:610:579 Ethics, Values, and Change in Information Practices
You may select other courses with approval from a coordinator.
General Electives
You can select any courses that are relevant to your plan of study from the MI Curriculum. You can transfer 6 credits from external programs (upon approval of director. Follow process noted in our transfer credit policy)
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Suchinthi Fernando
Assistant Teaching Professor of Library and Information Science
Coordinator of the Technology, Information, and Management Concentration
suchinthi.fernando@rutgers.edu