Informatics

Major: Informatics
Degree Awarded: Bachelor of Science (BS)
Calendar Type: Quarter
Total Credit Hours: 188.0-189.0
Classification of Instructional Programs (CIP) code: 11.1014
Standard Occupational Classification (SOC) code:
15-1132; 15-1133

About the Program

Note: Effective Fall 2016, students will no longer be accepted into this program. Students are encouraged to apply for the BS in Data Science program, which encompasses the content of the BS in Informatics program while adding additional coverage in computational techniques.

The College of Computing & Informatics' Bachelor of Science in Informatics (BSI) prepares students to extract and present valuable information from massive data sets. The volume of data from sources such as social media and scientific measurement continues to grow at high rates, and organizations are creating teams of technical experts who can deal with this deluge of data. BSI students develop the knowledge and skill to work on these problems in data science.

Informatics students learn to

  • define information needs of individuals and organizations;
  • select and transform data to increase usefulness for solving particular problems;
  • analyze and synthesize unstructured data to create actionable information;
  • create information visualizations for data exploration and presentation;
  • manage very large volume data sources from acquisition through disposal;
  • secure, preserve, and control access to data in a manner consistent with legal and organizational considerations.

The informatics curriculum focuses on the key components of informatics: people, information, and technology. The degree encompasses a broad range of topics related to the data life cycle from creation to presentation. To link the degree program to real work problems, students will be required to align themselves with a discipline through the identification of a minor.

Degree Requirements

Note: Effective Fall 2016, students are no longer being accepted into this program

Informatics Requirements
INFO 101Introduction to Information Technology3.0
INFO 105Introduction to Informatics3.0
INFO 108Foundations of Software3.0
INFO 110Human-Computer Interaction I3.0
INFO 151Web Systems and Services I3.0
INFO 152Web Systems and Services II3.0
INFO 153Applied Data Management3.0
INFO 200Systems Analysis I3.0
INFO 210Database Management Systems3.0
INFO 215Social Aspects of Information Systems3.0
INFO 216Issues in Information Policy 3.0
INFO 240Introduction to Data Science3.0
INFO 250Information Visualization3.0
INFO 300Information Retrieval Systems3.0
INFO 324Team Process and Product3.0
INFO 333Introduction to Information Security3.0
INFO 371Data Mining with Machine Learning3.0
INFO 440Social Media Trend Spotting3.0
Select two of the following:6.0
Ubiquitous Information Technologies
Geographic Information Science
Human-Computer Interaction II
Visual Analytics
Software Project Management
Information Services
INFO elective *3.0
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
Mathematics and Statistics Requirements
Select one of the following course sequences:12.0
Introduction to Analysis I
and Introduction to Analysis II
and Discrete Computational Structures
Calculus I
and Calculus II
and Discrete Computational Structures
STAT 201Introduction to Business Statistics4.0
STAT 202Business Statistics II4.0
Natural Science Sequence
Select one of the following course sequences:8.0-9.0
General Chemistry I
and General Chemistry II
General Chemistry I
and General Chemistry II
Cells, Genetics & Physiology
and Cells, Genetics and Physiology Laboratory
and Biological Diversity, Ecology & Evolution
and Biological Diversity, Ecology and Evolution Laboratory
Fundamentals of Physics I
and Fundamentals of Physics II
General Physics I
and General Physics II
Weather I: Climate and Global Change
and Weather II: Analysis and Forecasting
Applied Cells, Genetics & Physiology
and Applied Chemistry
and Applied Physics
Behavioral and Social Science Requirements
PSY 101General Psychology I3.0
PSY 330Cognitive Psychology3.0
SOC 250Research Methods I4.0
Arts and Humanitites Requirements
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
COM 230Techniques of Speaking3.0
or COM 310 Technical Communication
PHIL 105Critical Reasoning3.0
PHIL 311Ethics and Information Technology3.0
University and College Requirements
UNIV CI101The Drexel Experience2.0
or CI 120 CCI Transfer Student Seminar
or INFO 120 IST Seminar for Transfer Students
CIVC 101Introduction to Civic Engagement1.0
COOP 101Career Management and Professional Development0.0
Minor Requirements **24.0
Free Electives28.0
Total Credits189.0-190.0
*

Choose any 3 INFO courses that are not otherwise required

**

Students should consult their academic advisor regarding a minor that requires more than 24.0 credits

Sample Plan of Study

Term 1Credits
CI 101Computing and Informatics Design I2.0
INFO 101Introduction to Information Technology3.0
INFO 108Foundations of Software3.0
MATH 101
or 121
Introduction to Analysis I
Calculus I
4.0
ENGL 101Composition and Rhetoric I: Inquiry and Exploratory Research3.0
UNIV I1011.0
 Term Credits16.0
Term 2
CI 102Computing and Informatics Design II2.0
INFO 105Introduction to Informatics3.0
INFO 151Web Systems and Services I3.0
MATH 102
or 122
Introduction to Analysis II
Calculus II
4.0
ENGL 102Composition and Rhetoric II: Advanced Research and Evidence-Based Writing3.0
CIVC 101Introduction to Civic Engagement1.0
COOP 101***Career Management and Professional Development0.0
 Term Credits16.0
Term 3
CI 103Computing and Informatics Design III2.0
INFO 110Human-Computer Interaction I3.0
INFO 152Web Systems and Services II3.0
MATH 180Discrete Computational Structures4.0
ENGL 103Composition and Rhetoric III: Themes and Genres3.0
UNIV I1011.0
 Term Credits16.0
Term 4
INFO 153Applied Data Management3.0
INFO 200Systems Analysis I3.0
INFO 333Introduction to Information Security3.0
SOC 250Research Methods I4.0
PSY 101General Psychology I3.0
 Term Credits16.0
Term 5
INFO 210Database Management Systems3.0
INFO 216Issues in Information Policy 3.0
INFO 240Introduction to Data Science3.0
INFO 300Information Retrieval Systems3.0
STAT 201Introduction to Business Statistics4.0
 Term Credits16.0
Term 6
INFO 215Social Aspects of Information Systems3.0
INFO 250Information Visualization3.0
STAT 202Business Statistics II4.0
PHIL 105Critical Reasoning3.0
COM 230Techniques of Speaking3.0
 Term Credits16.0
Term 7
INFO 440Social Media Trend Spotting3.0
PSY 330Cognitive Psychology3.0
PHIL 311Ethics and Information Technology3.0
Minor course3.0
Free elective3.0
 Term Credits15.0
Term 8
INFO 324Team Process and Product3.0
INFO 371Data Mining with Machine Learning3.0
Minor course3.0
Science sequence4.0
Free elective3.0
 Term Credits16.0
Term 9
Free elective3.0
INFO electives6.0
Minor course3.0
Science sequence4.0
 Term Credits16.0
Term 10
CI 491 [WI] Senior Project I3.0
Minor courses6.0
Free electives7.0
 Term Credits16.0
Term 11
CI 492 [WI] Senior Project II3.0
INFO elective3.0
Minor courses6.0
Free elective3.0
 Term Credits15.0
Term 12
CI 493 [WI] Senior Project III3.0
Minor course3.0
Free electives9.0
 Term Credits15.0
Total Credit: 189.0
***

COOP 101 is taken either winter or spring depending on co-op cycle.  Please consult your advisor for additional information.

Minor in Informatics 

Note: Effective Fall Term 2015, students are no longer being accepted into this program.

Informatics is the science of information, the practice of information processing, and the engineering of information systems. The minor in informatics combines basic courses in information systems and technology with courses that address the cognitive issues and social contexts in which information systems and technologies are embedded.

Any student in any major can benefit from a minor in informatics. Graduates with such background knowledge are prepared to actively participate in the application of information technology within their major area of study.

The minor is available to all University students in good standing, with the exception of students majoring in informatics, information systems, or information technology.

Required Courses
INFO 101Introduction to Information Technology3.0
INFO 105Introduction to Informatics3.0
INFO 108Foundations of Software3.0
INFO 110Human-Computer Interaction I3.0
INFO 210Database Management Systems3.0
INFO 215Social Aspects of Information Systems3.0
Select two from the following list: 6.0
Issues in Information Policy
Geographic Information Science
Introduction to Data Science
Information Visualization
Social Media Trend Spotting
Total Credits24.0

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

Career Opportunities

The informatics major provides valuable skills that can be transported to a number of job settings. The demand for graduates with informatics knowledge is strong, and employers often want evidence of additional communication and problem-solving skills that can be applicable to specific disciplines. The program is also an excellent preparation for graduate study.

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

Evaluations

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

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 a valued contributor 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

Student Outcomes

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

  1. An ability to analyze a problem or information needs (of users or organizations) and identify and define the data needed to support decision making to resolve the problem or need.

  2. An ability to discover, create, evaluate and synthesize reliable data from large disparate sources of unstructured and messy data that occur in a variety of formats.

  3. An ability to transform large data sets through analysis into actionable information that individuals and organizations need.

  4. An ability to present data tailored to the information needs of different stakeholder groups using a variety of appropriate visualization techniques.

  5. An ability to secure, retain, and preserve data and information using the latest techniques and in accordance with data life cycle management practices and current information policies at the organizational, local, national and global levels.

  6. An ability to assess the value as well as legal and regulatory implications of using data and information for organizations, individuals, and society.

Computing & Informatics Faculty

Denise E. Agosto, PhD (Rutgers, The State University of New Jersey). Professor. Information behavior, public libraries, gender, children, young adults, multicultural materials.
Larry Alexander, PhD (University of Pennsylvania) Executive in Residence. Research Professor. Large scale modeling and simulation, pattern recognition, the future of information technology.
Yuan An, PhD (University of Toronto, Canada). 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) Head of Department of Information Science; 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
Jennifer Booker, PhD (Drexel University). Associate Teaching Professor. Software engineering, systems analysis and design, networking, statistics and measurement, process improvement, object-oriented analysis and design, bioinformatics, and modeling of biological systems.
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). Assistant 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.
John D'Ignazio, MS (Carnegie Mellon University). Assistant Teaching Professor. Human information interaction, digital curation, design of information infrastructures, methods development to elicit and evaluate impact on information environments, metadata schemes.
Prudence W. Dalrymple, PhD (University of Wisconsin-Madison) Director, Institute for Healthcare Informatics. Research and Teaching Professor. User-centered information behaviors, particularly in the health arena, health informatics, evidence based practice, education for the information professions and evaluation, and translation of research into practice.
M. Carl Drott, PhD (University of Michigan). Associate Professor. Systems analysis techniques, web usage, competitive intelligence.
Andrea Forte, PhD (Georgia Institute of Technology). 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.
Gregory W. Hislop, PhD (Drexel University) Senior Associate Dean for Academic Affairs. Professor. Information technology for teaching and learning, online education, structure and organization of the information disciplines, computing education research, software evaluation and characterization.
Xiaohua Tony Hu, PhD (University of Regina, Canada). Professor. Data mining, text mining, Web searching and mining, information retrieval, bioinformatics and healthcare informatics.
Jeremy R. Johnson, PhD (Ohio State University). Professor. Computer algebra; parallel computations; algebraic algorithms; scientific computing.
Weimao Ke, PhD (University of North Carolina at Chapel Hill). Associate Professor. Information retrieval (IR), distributed systems, intelligent filtering/recommendation, information visualization, network science, complex systems, machine learning, text/data mining, multi-agent systems, the notion of information.
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). 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.
Linda S. Marion, PhD (Drexel University). Teaching Professor. Formal and informal communication, bibliometric studies of scholarly communication, diffusion of information, information use in the social sciences, academic and public libraries, information science education.
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
Delia Neuman, PhD (The Ohio State University). Professor Emeritus. Learning in information-rich environments, instructional systems design, the use of media for learning, and school library media.
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. Archives and records, digital humanities, digital curation, pedagogy, diversity and inclusivity in the LIS profession
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) PhD in Information Studies Program Director. 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.
Deborah Turner, PhD (University of Washington). Assistant Professor. Information behavior/interaction, management of information institutions, orality and information.
Kristene Unsworth, PhD (University of Washington). Assistant Professor. Information policy, ethics, government information.
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. Knowledge-based systems; case-based reasoning; textual case-based reasoning; computational intelligence; knowledge discovery; uncertainty, mainly targeting knowledge management goals in different domains, e.g., software engineering, military, finance, law, bioninformatics, and health sciences.
Erija Yan, PhD (Indiana University). Assistant Professor. Network Science, information analysis and retrieval, scholarly communication methods and applications.
Christopher C. Yang, PhD ( University of Arizona, Tucson). Associate Professor. Web search and mining, security informatics, knowledge management, social media analytics, cross-lingual information retrieval, text summarization, multimedia retrieval, information visualization, information sharing and privacy, artificial intelligence, digital library, and electronic commerce.
Valerie Ann Yonker, PhD (Drexel University). Associate Teaching Professor. Human service information systems, systems analysis and design, measurement in software evaluation, knowledge engineering.

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.
Gerry Stahl, PhD (University of Colorado, Northwestern University). 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.
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