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Home > MSI Degree >Info Analysis and Retrieval (IAR)
Information Analysis and Retrieval (IAR) Specialization
The Information Analysis and Retrieval specialization teaches you the skills and concepts needed to understand how information is stored in computer systems, how it is searched and analyzed, and how humans access it.
Students with a background in computer science, mathematics, linguistics, and business technology -- among others -- will find their intellectual home with IAR.
The IAR specialization helps you focus your skills in natural language processing, database design, information retrieval, network analysis, and more. At SI, students in the IAR specialization study with one of the leading groups of faculty in the field. Faculty expertise extends to text, Web, and network analytics to provide you with unique perspectives for solving some of the most pressing problems organizations face.
Graduates will have the knowledge to make managerial-level decisions in such areas as business and market intelligence, data mining of structured records, and information retrieval.
As a graduate with a strong background in Information Analysis and Retrieval, you can pursue a diverse set of career paths that includes positions as search engineers, language engineers, competitive intelligence analysts, and specialists in text analytics and Web analytics.
Students will develop skills in:
- Natural language processing
- Database design
- Information retrieval
- Network analysis
and more.
As a graduate with a strong background in Information Analysis and Retrieval, you can pursue a diverse set of career paths. Job titles include:
- Search engineer
- Language engineer
- Information analyst
- Text analytics
- Web analytics
- Competitive intelligence analyst
Specialization Requirements
In addition to the specialization requirements below, MSI students must meet all of the general requirements of the 48-credit MSI program, including core, distribution, cognate, and practical engagement requirements.
Students specializing in Information Analysis and Retrieval must take 12 credits from the following list of courses. Students may take only one of the two natural language processing courses listed here -- either 561 or 761 but not both.
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SI 508: Networks: Theory and Application
(3 credits)
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SI 531: Human Interaction in Information Retrieval
(3 credits)
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SI 561: Natural Language Processing
(3 credits)
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SI 572: Database Application Design
(3 credits)
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SI 583: Recommender Systems
(1.5 credits)
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SI 601: Data Manipulation
(1.5 credits)
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SI 618: Exploratory Data Analysis
(1.5 credits)
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SI 650: Information Retrieval
(3 credits)
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SI 665: Online Searching and Databases
(3 credits)
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SI 708: Networks: Theory and Application
(3 credits)
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SI 760: Language and Information
(3 credits)
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SI 761: Natural Language Processing
(3 credits)
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SI 767: Advanced Natural Language Processing and Information Retrieval
(3 credits)
Competency Requirements
Statistics
IAR students must have three (3) credits of statistics, either previously completed (transcript required) or taken at U-M. SI offers
- 544 Introduction to Statistics and Data Analysis (3 credits)
to help you fulfill this requirement.
Information about waiving the statistics requirement has been compiled by Assistant Professor Lada Adamic Please submit any request for a waiver during the first week of classes or during the two-week pre-registration advising period.
Programming
IAR students must have three (3) credits of programming -- either previously completed or taken at U-M -- or must show competence through an exam. SI offers
- 539 Design of Complex Web Sites (3 credits)
- 543 Programming I (Java; 3 credits)
to help you fulfill this requirement.
Learn more about the programming requirement.
Requests for a waiver for the programming requirement should be e-mailed to Assistant Professor Mark Newman at mwnewman@umich.edu or Associate Professor Mark Ackerman at ackerm@umich.edu during the first week of classes or during the two-week pre-registration advising period.
Related Courses
These courses are of interest to IAR students, but do not fulfill the 12-credit requirement.
- SI 514 Semantic Web
- SI 581 Preserving Information
- SI 615 Digital Libraries
- SI 622 Evaluation of Systems and Services
- SI 649 Information Visualization
- SI 682 Interface and Interaction Design
Potential Cognate Courses
These courses, offered outside of SI, are also of potential interest but are not required for IAR.
- EECS 492 Artificial Intelligence (Electrical Engineering and Computer Science)
- EECS 545 Machine Learning (Electrical Engineering and Computer Science)
- EECS 598 Search Engine Technology (Electrical Engineering and Computer Science)
- CPLXSYS 501 Introduction to Complex Systems (Program for the Study of Complex Systems)
Faculty
These SI faculty members have research and academic interests in the area of Information Analysis and Retrieval.
The faculty coordinator for the specialization is Associate Professor Dragomir Radev.
Other MSI Specializations
Information Analysis and Retrieval is one of nine specializations within the Master of Science in Information program at the School of Information. For information about the other MSI specializations, visit their respective links:
Program requirements on this page are current for the 2008-2009 academic year.
Last updated: Sep 05, 2008
Home > MSI Degree >Info Analysis and Retrieval (IAR)
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"These are exactly the courses that will get someone hired at Google, Yahoo!, or MSN Search. They also correspond roughly to the set of topics covered in SIGIR [the Association for Computing Machinery's Special Interest Group on Information Retrieval]."
Dragomir Radev
Associate Professor
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