据伊利诺伊大学香槟分校官网最新消息,2016年秋季,由信息科学学院最新增设的信息管理硕士专业(MS in Information Management)即将正式开课。首批课程将全部为校园实体授课,自2017年春季开始,该硕士项目将提供同步在线课程。
该专业需要具有一定的编程能力,若没有则必须先修一门编程课程。另外,该专业属于STEM专业,国际生可以额外申请24个月的OPT实习时间,即总OPT实习时间跟其他STEM专业一样为36个月。
2017年春季开学申请截止日期:2016年10月15日
2017年秋季开学申请截止日期:2017年2月15日
该专业分为四个方向,完成时间大约为12-18个月,课程设置共有3门必修课,不同方向选修课可根据个人情况而定。
3门必修课分别为:
LIS 561: Information Modeling
An introduction to the foundations of information modeling methods used in current digital library applications. The specific methods considered include relational database design, conceptual modeling, markup systems, and ontologies. The basic concepts underlying these methods are, respectively, relations, entities, grammars, and logic. Implementations include relational database design, FR/EER/UML diagrams, XML markup languages, and RDF/OWL semantic web languages. First order logic is emphasized throughout as the foundational framework for information modeling in general, and for contemporary web-based information management and delivery systems (including semantic web technologies) in particular. Required course in CAS in Digital Libraries concentration. [Formerly 590IM; permanent approved 5/7/12; first used Fall 2012]
LIS 542: Data, Statistical Models and Information
An introduction to statistical and probabilistic models as they pertain to quantifying information, assessing information quality, and principled application of information to decision-making, with a focus on model selection and gauging model quality. The course reviews relevant results from probability theory, parametric and non-parametric predictive models, as well as extensions of these models for unsupervised learning. Applications of statistical and probabilistic models to tasks in information management (e.g. prediction, ranking, and data reduction) are emphasized.
LIS 543: Sociotechnical Information Systems
The character, success, and costs/benefits of information technologies are socio-technical matters. Because of this, best practice for IT design and integration relies on participants' ability to understand and create for the totality of those settings, including social and technical dimensions. This course provides students with analytic tools for examining socio-technical settings and experience in applying that knowledge in IT modeling, design and management.
四个方向分别为:
数据科学和分析
Data science and analytics
Data is ubiquitous. Global industry depends on professionals who can manage, clean, and interpret data to make decisions, assess services, and ultimately operate an improved organization. MS/IM students are prepared to be instrumental contributors to organizational success through strong theoretical and technical understanding of data in society and within organizations.
参考选修课课程名称:
LIS 590AG Evidence-Based Discovery
LIS 490IDS Introduction to Data Science
LIS 590AD Sociotechnical Data Analytics
LIS 456 Information Storage and Retrieval
LIS 490DB Introduction to Databases
LIS 531 Foundations of Data Curation
LIS 590DCL Theory and Practice of Data Cleaning
LIS 590DT Data Mining
LIS 590MT Informetrics
LIS 590NA Network Analysis
LIS 590TX Text Mining