Information Systems

Major: Information Systems
Degree Awarded: Bachelor of Science Degree in Information Systems (BS)
Calendar Type: Quarter
Total Credit Hours: 187.0

Co-op Options: Three Co-op (Five years); One Co-op (Four years)
Classification of Instructional Programs (CIP) code: 11.0401
Standard Occupational Classification (SOC) code:

About the Program

The College of Computing & Informatics' Bachelor of Science in Information Systems (BSIS) prepares students to apply information technology for the benefit of individuals and organizations. Students develop the skills and knowledge to design, develop, and manage leading-edge information systems. Since many Information Systems students choose careers in business organizations, a minor in business is built in to the degree requirements.

The Information Systems curriculum prepares students for a wide range of information technology applications. Students learn how to determine client needs, design appropriate solutions, specify data architectures, and improve usability of systems.

The core courses in the program address topics including fundamentals of programming, systems analysis and design, database management systems, networking, security and privacy, and social aspects of information systems. These courses provide a foundation for more advanced courses in technical areas of interest to each student. The technical courses are supplemented by courses in business, behavioral sciences, natural sciences, mathematics, and the humanities to provide balance and useful supplemental materials for information systems careers.

The BSIS has four (4) core competencies students will have mastered upon graduation. The core competencies are supported by three (3) courses in each area.

  • Requirements and Design
  1. INFO 200 Systems Analysis I
  2. INFO 324 Team Process and Product
  3. INFO 355 System Analysis II
  • Database and Information Management
  1. INFO 210 Database Management
  2. INFO 365 Database Administration I
  3. INFO 371 Data Mining Applications
  • User Experience 
  1. INFO 150 Ubiquitous Computing
  2. INFO 310 Human Centered Design Process & Methods
  3. INFO 405 Social and Collaborative Computing (course needs to be developed)
  • Security and Assurance
  1. CT 201 Information Technology Security I
  2. CT 250 Security Awareness
  3. INFO 375 Information Assurance

The degrees in Computing and Security Technology, Data Science, and Information Systems share a common first year. This allows students to easily switch among the degrees early in their studies. In addition, some of the electives in each degree are accessible to students in the other two majors and this provides a deeper and broader set of advanced topics for students in all three majors.

Additional Information

For more information about this program, please visit the BS in Information Systems web page on the College of Computing & Informatics' website.

Degree Requirements

Information Systems Requirements
CT 140Network Administration I3.0
CT 201Information Technology Security I3.0
CT 250IT Security Awareness3.0
INFO 101Introduction to Computing and Security Technology3.0
INFO 102Introduction to Information Systems3.0
INFO 103Introduction to Data Science3.0
INFO 150Introduction to Ubiquitous Computing3.0
INFO 200Systems Analysis I3.0
INFO 210Database Management Systems3.0
INFO 215Social Aspects of Information Systems3.0
INFO 310Human-Centered Design Process & Methods3.0
INFO 324Team Process and Product3.0
INFO 355Systems Analysis II3.0
INFO 365Database Administration I3.0
INFO 371Data Mining Applications3.0
INFO 375Introduction to Information Systems Assurance3.0
INFO 405Social and Collaborative Computing3.0
INFO 420Software Project Management3.0
INFO/CT Electives *12.0
Programming Requirements9.0
Choose one of the following sequences
Web Systems and Services I
and Computer Programming I
and Computer Programming II
Web Systems and Services I
and Web Systems and Services II
and Applied Data Management
Computing and Informatics Requirements
CI 101Computing and Informatics Design I2.0
CI 102Computing and Informatics Design II2.0
CI 103Computing and Informatics Design III2.0
CI 491 [WI] Senior Project I3.0
CI 492 [WI] Senior Project II3.0
CI 493 [WI] Senior Project III3.0
Business or IS Environment Minor Requirements (See Minor Requirements below)24.0
Mathematics Requirements
Choose 1 of the following sequences:8.0
If sequence less than 8 credit, add additional 2 credits to free electives
Introduction to Analysis A
and Introduction to Analysis B
Introduction to Analysis I
and Introduction to Analysis II
Calculus I
and Calculus II
MATH 180Discrete Computational Structures4.0
STAT 201Introduction to Business Statistics4.0
Natural Science Requirements
Select 8.0 credits from any non-required courses from the following: ANAT, BIO, CHEM, ENVS, FDSC, NFS, PHEV, PHYS, HSCI, GEO, ENSS8.0
Liberal Studies Requirements
COM 230Techniques of Speaking3.0
or COM 310 Technical Communication
ENGL 101Composition and Rhetoric I: Inquiry and Exploratory Research3.0
ENGL 102Composition and Rhetoric II: Advanced Research and Evidence-Based Writing3.0
ENGL 103Composition and Rhetoric III: Themes and Genres3.0
Select and non-required courses from ANTH, COM, ENGL, HIST, PHIL, PSCI, PSY, SOC, WRIT, ECON, ENTP, ARTH, FMST, MUSC, TVST, VSST6.0
University and College Requirements
CIVC 101Introduction to Civic Engagement1.0
COOP 101Career Management and Professional Development0.0
UNIV CI101The Drexel Experience2.0
or CI 120 CCI Transfer Student Seminar
Free Electives28.0
Total Credits187.0

MInor Requirements:

Students must complete the requirements for a minor in an information systems application area.  The following minors are approved for this requirement:

  • College of Business minors – Note: the MIS minor cannot be used for this requirement due to its considerable overlap with the IS major
  • Close School of Entrepreneurship minors
  • School of Public Health minors
  • Other minors in IS application areas may be taken for this requirement with prior approval of an advisor

Writing-Intensive Course Requirements

In order to graduate, all students must pass three writing-intensive courses after their freshman year. Two writing-intensive courses must be in a student's major. The third can be in any discipline. Students are advised to take one writing-intensive class each year, beginning with the sophomore year, and to avoid “clustering” these courses near the end of their matriculation. Transfer students need to meet with an academic advisor to review the number of writing-intensive courses required to graduate.

A "WI" next to a course in this catalog may indicate that this course can fulfill a writing-intensive requirement. For the most up-to-date list of writing-intensive courses being offered, students should check the Writing Intensive Course List at the University Writing Program. Students scheduling their courses can also conduct a search for courses with the attribute "WI" to bring up a list of all writing-intensive courses available that term.

Sample Plan of Study

5 YR UG Co-op Concentration

Term 1Credits
CI 101Computing and Informatics Design I2.0
ENGL 101Composition and Rhetoric I: Inquiry and Exploratory Research3.0
INFO 101Introduction to Computing and Security Technology3.0
INFO 151Web Systems and Services I3.0
MATH 171Introduction to Analysis A3.0
UNIV CI101The Drexel Experience1.0
 Term Credits15.0
Term 2
CI 102Computing and Informatics Design II2.0
CIVC 101Introduction to Civic Engagement1.0
COOP 101**Career Management and Professional Development0.0
ENGL 102Composition and Rhetoric II: Advanced Research and Evidence-Based Writing3.0
INFO 102Introduction to Information Systems3.0
INFO 152
or CS 171
Web Systems and Services II
Computer Programming I
MATH 172Introduction to Analysis B3.0
 Term Credits15.0
Term 3
CI 103Computing and Informatics Design III2.0
COOP 101**Career Management and Professional Development0.0
ENGL 103Composition and Rhetoric III: Themes and Genres3.0
INFO 103Introduction to Data Science3.0
INFO 153
or CS 172
Applied Data Management
Computer Programming II
MATH 180Discrete Computational Structures4.0
UNIV CI101**The Drexel Experience1.0
 Term Credits16.0
Term 4
COM 230
or 310 [WI]
Techniques of Speaking
Technical Communication
CT 201Information Technology Security I3.0
INFO 150Introduction to Ubiquitous Computing3.0
INFO 200Systems Analysis I3.0
INFO 215Social Aspects of Information Systems3.0
 Term Credits15.0
Term 5
INFO 210Database Management Systems3.0
STAT 201Introduction to Business Statistics4.0
INFO elective3.0
Liberal Studies Elective3.0
Free elective 3.0
 Term Credits16.0
Term 6
INFO 324Team Process and Product3.0
INFO 365Database Administration I3.0
INFO 371Data Mining Applications3.0
INFO 375Introduction to Information Systems Assurance3.0
Minor elective 4.0
 Term Credits16.0
Term 7
CT 140Network Administration I3.0
CT 250IT Security Awareness3.0
INFO 310Human-Centered Design Process & Methods3.0
Liberal Studies elective3.0
Minor elective 4.0
 Term Credits16.0
Term 8
INFO 355Systems Analysis II3.0
Science Sequence Course 1*4.0
Minor elective4.0
Free elective6.0
 Term Credits17.0
Term 9
INFO 420Software Project Management3.0
Science Sequence Course 2*4.0
Minor electives8.0
 Term Credits15.0
Term 10
CI 491 [WI] Senior Project I3.0
INFO 405Social and Collaborative Computing3.0
INFO electives6.0
Minor elective 4.0
 Term Credits16.0
Term 11
CI 492 [WI] Senior Project II3.0
INFO elective3.0
Free electives9.0
 Term Credits15.0
Term 12
CI 493 [WI] Senior Project III3.0
Free electives 12.0
 Term Credits15.0
Total Credit: 187.0

Accelerated Degrees

The College of Computing & Informatics offers several Accelerated Degree programs designed to allow students to complete both a bachelor’s degree and a graduate degree along with cooperative educational experience in fewer years than would be typical if pursuing the degrees separately.

Students accepted in this program can combine any of the College's bachelor's and master's degree programs as well as other options:

  • Any CCI BS/any CCI MS Accelerated Degree (BS & MS in five years, including 2 Co-ops)
  • Any CCI BS/MBA Accelerated Degree (BS/MBA)
  • Any CCI BS/JD Accelerated Degree (BS/JD)

For more information on the criteria for entering this program, visit the BS/MS Accelerated Degree page on Drexel's website.

For more information on how to apply for the BS/MS Accelerated Degree program, please visit the College of Computing & Informatics' website.

Co-op/Career Opportunities

Co-Op Options

Two co-op options are available for this program:

  • 5-year/3 co-op
  • 4-year/1 co-op
  • Accelerated Degree (BS & MS): 5-year/2 co-op

The following list is a sample of recent co-op job titles and employers:

  • Applications Architect, Aetna
  • e-Communications Intern, Airgas
  • PC Network Support, Aramark
  • Information Systems Intern, Campbell's Soup
  • Distributed WAN Support Co-op, Cigna
  • Network Services, GlaxoSmithKline
  • Programmer/Analyst, Independence Blue Cross
  • Information Management Co-op, Johnson & Johnson
  • Database Developer, Princeton Plasma Physics
  • Website Developer, QVC
  • Shared Services Co-op, Wyeth

Career Opportunities

The demand for information systems professionals is strong. Graduates find careers in a number of areas, including designing information systems, leading project teams, planning, developing, and marketing information systems. Most information systems students enter the professional world right after graduation, but some continue their studies in advanced information technology programs.

Job titles of recent information systems graduates include:

  • Security Analyst
  • Network Systems Analyst
  • Database Administrator
  • Data Communications Analyst
  • Systems Administrator
  • Systems Engineer

Visit the Drexel Steinbright Career Development Center page for more detailed information on co-op and post-graduate opportunities.

Drexel University Libraries

Drexel University Libraries is a learning enterprise, advancing the University’s academic mission through serving as educators, supporting education and research, collaborating with researchers, and fostering intentional learning outside of the classroom. Drexel University Libraries engages with Drexel communities through four physical locations, including W. W. Hagerty Library, Hahnemann Library, Queen Lane Library and the Library Learning Terrace, as well as a vibrant online presence which sees, on average, over 8,000 visits per day. In the W.W. Hagerty Library location, College of Computing & Informatics students have access to private study rooms and nearly half a million books, periodicals, DVDs, videos and University Archives. All fields of inquiry are covered, including: library and information science, computer science, software engineering, health informatics, information systems, and computing technology. Resources are available online at or in-person at W. W. Hagerty Library.

The Libraries also make available laptop and desktop PC and Mac computers, printers and scanners, spaces for quiet work or group projects and designated 24/7 spaces. Librarians and library staff—including a liaison librarian for computing and informatics—are available for individual research consultations and to answer questions about materials or services.


Located in Room 106 of the Rush Building, the College’s iCommons is an open lab and collaborative work environment for students. It features desktop computers, a wireless/laptop area, free black and white printing, more collaborative space for its students and a furnished common area. There is a fully equipped conference room for student use with a 42” display and videoconferencing capabilities. The iCommons provides technical support to students, faculty, and administrative staff. In addition, the staff provides audio-visual support for all presentation classrooms within the Rush Building. Use of the iCommons is reserved for all students taking CCI courses.

The computers for general use are Microsoft Windows and Macintosh OSX machines with appropriate applications which include the Microsoft Office suite, various database management systems, modeling tools, and statistical analysis software. Library related resources may be accessed at the iCommons and through the W.W. Hagerty Library. The College is a member of the Rational SEED Program which provides cutting-edge software development and project management software for usage in the iCommons and CCI classrooms. The College is also a member of the Microsoft Academic Alliance known also as “DreamSpark” that allows students free access to a wide array of Microsoft software titles and operating systems.

The iCommons, student labs, and classrooms have access to networked databases, print and file resources within the College, and the Internet via the University’s network. Email accounts, Internet and BannerWeb access are available through the Office of Information Resources and Technology.

Rush Building

The Rush Building houses classrooms, CCI administrative offices (academic advising, graduate admissions, faculty, etc.) and the iCommons computer lab (open to all CCI students). The building holds 6 classrooms equipped for audio-visual presentation. These rooms typically contain a networked PC, HD video player, ceiling mounted projectors, and other equipment for presentations and demonstrations. Four of these classrooms are fully equipped to function as laptop computing labs for networking, programming and database-related projects.

The Information Technology Laboratory, located in the Rush Building, consists of enterprise class information technology hardware that students would encounter in industry positions. The hardware includes 20 high powered workstations that are available to students and specialized networking lab simulation software. The hardware is networked and reconfigurable utilizing multiple virtual technologies as needed for the various classes the laboratory supports. In addition, a special system has been built into to the classroom to allow for conversion into a standard laptop computing lab utilizing motorized monitor lifts that allow the monitors and keyboards to recess into the desk.

University Crossings - Cyber Learning Center and Computer Lab

CCI also has classrooms, administrative office and faculty offices located in University Crossings, located at the corner of JFK Blvd. and Market Street. The building houses the Cyber Learning Center, a student computer lab, as well as several classrooms with video-conference enabled technology and media projection capabilities.

The Cyber Learning Center (CLC) provides consulting and other learning resources for students taking computer science classes. The CLC is staffed by graduate and undergraduate computer science students from the College of Computing & Informatics.

Both the CLC and UC Lab now serve as a central hub for small group work, student meetings, and TA assistance. The UC Lab is organized with desk space around the perimeter of the lab for individual or partner/pair-programmed student work, as well as with clusters of tables which can be connected as needed into pods to create workspaces for larger groups.

Research Laboratories

The College houses multiple research labs, led by CCI faculty, across Drexel’s main campus including: the Auerbach and Berger Families Cybersecurity Laboratory, Drexel Health and Risk Communication Lab, Socio-Technical Studies Group, Intelligent Information & Knowledge Computing Research Lab, Evidence-based Decision Making Lab, Applied Symbolic Computation Laboratory (ASYM), Geometric and Intelligent Computing Laboratory (GICL), High Performance Computing Laboratory (SPIRAL), Privacy, Security and Automation Laboratory (PSAL), Drexel Research on Play (RePlay) Laboratory, Software Engineering Research Group (SERG), Vision and Cognition Laboratory (VisCog) and the Vision and Graphics Laboratory. For more information on these laboratories, please visit the College’s research web page.

Alumni Garden

The Rush Building’s Alumni Garden provides additional collaborative space for students, faculty, professional staff and alumni. The Garden features wireless networking, tables with built-in power outlets, accessible covered patio and balconies and a bicycle rack. The Alumni Garden may be reserved for Drexel events.

3401 Market Street

3401 Market Street houses faculty offices and doctoral student workspaces. It also is home to College research groups such and University initiatives such as the Isaac L. Auerbach Cybersecurity Institute. The Institute’s Auerbach and Berger Families Cybersecurity Laboratory serves as University’s first training facility dedicated to identifying challenges and discovering solutions in the areas of cyber infrastructure protection and incident response.


The College of Computing & Informatics works continually to improve its degree programs. As part of this effort, the Information Systems degree is evaluated relative to the following Objectives and Outcomes.

BS in Information Systems Program Educational Objectives

Within three to five years of graduating, alumni of the program are expected to achieve one or more of the following milestones: 

  1. Be valued contributors to private or public organizations as demonstrated by promotions, increased responsibility, or other professional recognition
  2. Contribute to professional knowledge as demonstrated by published papers, technical reports, patents, or conference presentations
  3. Succeed in continuing professional development as demonstrated by completion of graduate studies or professional certifications
  4. Demonstrate commitment and leadership within their profession and community as demonstrated by professional and community activity or contributions towards society's greater good and prosperity

BS in Information Systems Student Outcomes

The program enables students to attain, by the time of graduation:

  1. An ability to apply knowledge of computing and mathematics appropriate to the discipline
  2. An ability to analyze a problem, and identify and define the computing requirements appropriate to its solution
  3. An ability to design, implement, and evaluate a computer-based system, process, component, or program to meet desired needs
  4. An ability to function effectively on teams to accomplish a common goal
  5. An understanding of professional, ethical, legal, security and social issues
  6. An ability to communicate effectively with a range of audiences
  7. An ability to analyze the local and global impact of computing on individuals, organizations, and society
  8. Recognition of the need for and an ability to engage in continuing professional development
  9. An ability to use current techniques, skills, and tools necessary for computing practice.
  10. An understanding of processes that support the delivery and management of information systems within a specific application environment

The BSIS is accredited by the Computing Accreditation Commission (CAC) of ABET,

To view the latest BS in Information Systems program enrollment numbers, please click here.

Computing & Informatics Faculty

Denise E. Agosto, PhD (Rutgers, The State University of New Jersey). Professor. Youth information behaviors, public libraries, multicultural issues in youth library services, and qualitative research methods.
Yuan An, PhD (University of Toronto, Canada) Director of International Programs. Associate Professor. Conceptual modeling, schema and ontology mapping, information integration, knowledge representation, requirements engineering, healthcare information systems, semantic web.
David Augenblick, MS (University of Pennsylvania). Associate Teaching Professor. Introductory and object-oriented programming, data structures and database systems, computer application project management, application of computer programming principles and solutions to engineering problems.
Marcello Balduccini, PhD (Texas Tech University) Senior Research Scientist, Applied Informatics Group. Associate Research Professor. Logic programming, declarative programming, answer set programming, knowledge representation, various types of reasoning
Ellen Bass, PhD (Georgia Institute of Technology) Joint Appointment with the College of Nursing and Health Professions. Professor. Characterizing human judgement and decision making, modeling human judgement when supported by information automation, computational models of human-human and human-automation coordination.
Mark Boady, PhD (Drexel University). Assistant Teaching Professor. Computer Algebra, complex symbolic calculations, automation of computation problems
David E. Breen, PhD (Rensselaer Polytechnic Institute). Associate Professor. Self-organization, biomedical image/video analysis, biological simulation, geometric modeling and visualization
Matthew Burlick, PhD (Stevens Institute of Technology). Assistant Teaching Professor. Image processing, machine learning, real-time video tracking, object detection and classification, statistics/probability, and acoustics
Yuanfang Cai, PhD (University of Virginia). Associate Professor. Formal software design modeling and analysis, software economics, software evolution and modularity.
Christopher Carroll, MS (Drexel University) BSCST Program Director. Associate Teaching Professor. Information technology within healthcare companies, computer networking and design, IT infrastructure, server technology, information security, virtualization and cloud computing.
Bruce W. Char, PhD (University of California-Berkeley). Professor. Symbolic mathematical computation, algorithms and systems for computer algebra, problem-solving environments parallel and distributed computation.
Chaomei Chen, PhD (University of Liverpool). Professor. Information visualization, visual analytics, knowledge domain visualization, network analysis and modeling, scientific discovery, science mapping, scientometrics, citation analysis, human-computer interaction.
Catherine D. Collins, MLIS (Indiana University). Associate Teaching Professor. Knowledge management, collection development, management of information organizations, information sources and services, international development.
M. Carl Drott, PhD (University of Michigan). Associate Professor. Systems analysis techniques, web usage, competitive intelligence.
Andrea Forte, PhD (Georgia Institute of Technology) PhD Program Director, and MS in Information Program Director. Associate Professor. Social computing, human-computer interaction, computer-supported cooperative work, computer-supported collaborative learning, information literacy.
Susan Gasson, PhD (University of Warwick). Associate Professor. The co-design of business and IT-systems, distributed cognition & knowledge management in boundary-spanning groups, human-centered design, social informatics, online learning communities, grounded theory.
Christopher Geib, PhD (University of Edinburgh). Associate Professor. Decision making and reasoning under conditions of uncertainty, planning, scheduling, constraint, based reasoning, human computer and robot interaction, probabilistic reasoning, computer network security, large scale process control, user interfaces.
Colin Gordon, PhD (University of Washington). Assistant Professor. Software reliability, program behavior, concurrent and systems-level code, formal assurance, programming models, distributed computing, even testing
Jane Greenberg, PhD (University of Pittsburgh) Alice B. Kroeger Professor. Metadata, ontological engineering, data science, knowledge organization, information retrieval
Rachel Greenstadt, PhD (Harvard University). Associate Professor. Artificial intelligence, privacy, security, multi-agent systems, economics of electronic privacy and information security.
Peter Grillo, PhD (Temple University) Associate Department Head for Undergraduate Affairs, Information Science. Teaching Professor. Strategic applications of technology within organizations.
Jeremy R. Johnson, PhD (Ohio State University). Professor. Computer algebra; parallel computations; algebraic algorithms; scientific computing.
Michael Khoo, PhD (University of Colorado at Boulder). Assistant Teaching Professor. The understandings and practices that users bring to their interactions with information systems, with a focus on the evaluation of digital libraries and educational technologies.
Xia Lin, PhD (University of Maryland) Department Head, Information Science. Professor. Digital libraries, information visualization, visual interface design, knowledge mapping, human-computer interaction, object-oriented programming, information retrieval, information architecture, information-seeking behaviors in digital environments.
Geoffrey Mainland, PhD (Harvard University). Assistant Professor. High-level programming languages and runtime support for non-general purpose computation.
Spiros Mancoridis, PhD (University of Toronto). Professor. Software engineering; software security; code analysis; evolutionary computation.
Gabriela Marcu, PhD (Carnegie Mellon University). Assistant Teaching Professor. Human-computer interaction, health informatics, action research, ethnography, user experience design, designing for social change, organizational information systems, ubiquitous computing, knowledge management.
Adelaida Alban Medlock, MS (Drexel University). Associate Teaching Professor. Introductory programming; computer science education.
William Mongan, MS (Drexel University) Associate Department Head for Undergraduate Affairs, Computer Science. Associate Teaching Professor. Service-oriented architectures, program comprehension, reverse engineering, software engineering, computer architecture, computer science education, engineering education outreach
Gaurav Naik, MS (Drexel University). Assistant Research Professor. Computer networking and cybersecurity
Ko Nishino, PhD (University of Tokyo) Associate Department Head for Graduate Affairs, Computer Science. Professor. Computer vision, computer graphics, analysis and synthesis of visual appearance.
Danuta A. Nitecki, PhD (University of Maryland at College Park) Dean of Libraries. Professor. Library metrics and use in management, library as place, and academic library service models.
Krzysztof Nowak, PhD (Washington University). Associate Teaching Professor. Fourier analysis, partial differential equations, image processing, wavelets, asymptotic distribution of eigenvalues, numerical methods and algorithms, computer science education.
Santiago Ontañón, PhD (University of Barcelona). Assistant Professor. Game AI, computer games, artificial intelligence, machine learning, case-based reasoning
Jung-ran Park, PhD (University of Hawaii at Manoa). Associate Professor. Knowledge organization and representation, metadata, computer-mediated communication, cross-cultural communication, multilingual information access.
Alex Poole, PhD (University of North Carolina). Assistant Professor. Digital curation, archives and records management, digital humanities, and diversity, inclusivity, and equity.
Jeffrey L. Popyack, PhD (University of Virginia). Professor. Operations research, stochastic optimization, computational methods of Markov decision processes; artificial intelligence, computer science education.
William C. Regli, PhD (University of Maryland-College Park). Professor. Artificial intelligence; computer graphics; engineering design and Internet computing.
Lori Richards, PhD (University of North Carolina). Assistant Professor. Archives, digital curation, electronic records management, information technology and digital collections, cloud computing and record keeping, management of information organizations.
Michelle L. Rogers, PhD (University of Wisconsin-Madison). Associate Professor. Human-computer interaction, healthcare informatics, human factors engineering, socio-technical systems, health services research, patient safety.
Jeffrey Salvage, MS (Drexel University). Teaching Professor. Object-oriented programming, multi-agent systems, software engineering, database theory, introductory programming, data structures.
Dario Salvucci, PhD (Carnegie Mellon University) Department Head, Computer Science. Professor. Human computer interaction, cognitive science, machine learning, applications for driving.
Kurt Schmidt, MS (Drexel University). Associate Teaching Professor. Data structures, math foundations for computer science, programming tools, programming languages.
Ali Shokoufandeh, PhD (Rutgers University) Senior Associate Dean of Research. Professor. Theory of algorithms, graph theory, combinational optimization, computer vision.
Erin Solovey, PhD (Tufts University). Assistant Professor. Human-computer interaction, brain-computer interfaces, tangible interaction, machine learning, human interaction with complex and autonomous systems.
Il-Yeol Song, PhD (Louisiana State University). Professor. Conceptual modeling, ontology and patterns, data warehouse and OLAP, object-oriented analysis and design with UML, medical and bioinformatics data modeling & integration,.
Julia Stoyanovich, PhD (Columbia University). Assistant Professor. Data and knowledge management, big data, biological data management, search and ranking.
Brian Stuart, PhD (Purdue University). Associate Teaching Professor. Machine learning, networking, robotics, image processing, simulation, interpreters, data storage, operating systems, computer science, data communications, distributed/operating systems, accelerated computer programming, computer graphics.
Filippos Vokolos, PhD (Polytechnic University). Assistant Teaching Professor. System architecture, principles of software design and construction, verification and validation methods for the development of large software systems, foundations of software engineering, software verification & validation, software design, programming languages, dependable software systems.
Rosina Weber, PhD (Federal University of Santa Catarina). Associate Professor. Case-based reasoning, explainable artificial intelligence, machine learning, textual analytics, natural language understanding, language models, recommender systems, technological aspects of knowledge management, project management, and requirements engineering.
Erija Yan, PhD (Indiana University). Assistant Professor. Network Science, information analysis and retrieval, scholarly communication methods and applications.

Emeritus Faculty

Michael E. Atwood, PhD (University of Colorado) Associate Dean for Research and for Undergraduate Education. Professor Emeritus. Human-computer interaction, computer-supported cooperative work, organizational memory.
Thomas A. Childers, PhD (Rutgers University). Professor Emeritus. Measurement, evaluation, and planning of information and library services, the effectiveness of information organizations.
David E. Fenske, PhD (University of Wisconsin-Madison). Dean Emeritus and Professor. Digital libraries, informatics, knowledge management and information technologies.
John B. Hall, PhD (Florida State University). Professor Emeritus. Academic library service, library administration, organization of materials.
Katherine W. McCain, PhD (Drexel University). Professor Emeritus. Scholarly communication, information production and use in the research process, development and structure of scientific specialties, diffusion of innovation, bibliometrics, evaluation of information retrieval systems.
Carol Hansen Montgomery, PhD (Drexel University) Dean of Libraries Emeritus. Research Professor. Selection and use of electronic collections, evaluation of library and information systems, digital libraries, economics of libraries and digital collections.
Delia Neuman, PhD (The Ohio State University). Professor Emerita. Learning in information-rich environments, instructional systems design, the use of media for learning, and school library media.
Gerry Stahl, PhD (University of Colorado). Professor Emeritus. Human-computer interaction, computer-supported cooperative work, computer-supported collaborative learning, theory of collaboration.
Howard D. White, PhD (University of California at Berkeley). Professor Emeritus. Literature information systems, bibliometrics, research methods, collection development, online searching.
Susan Wiedenbeck, PhD (University of Pittsburgh). Professor Emeritus. Human-computer interaction, end-user programming/end-user development, empirical studies of programmers, interface design and evaluation.
  • Schedule of Classes
  • All Course Descriptions
  • Co-op
  • Academic Advising
  • Admissions
  • Tuition & Fees