17 courses with the subject MISM, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
Offers elective credit for courses taken at other academic institutions. May be repeated without limit.
Attribute(s): NUpath Analyzing/Using Data, NUpath Ethical Reasoning
Prerequisite(s): MISM 2301 with a minimum grade of D- Attribute(s): NUpath Analyzing/Using Data
Focuses on information analytics concepts and techniques needed by educated information analysts, designers, and consumers to lead organizations in the contemporary information age. Includes concepts, techniques, methods, and strategies for the entire information life cycle—collection, organization, exploration, analysis, manipulation, visualization, interpretation, and presentation of information for business. Each of these topics is introduced with real-world examples and data sets, grounded in relevant theory and principles, and is reinforced using various user-friendly software tools to gain the necessary analytical skills and knowledge.
Offers elective credit for courses taken at other academic institutions. May be repeated without limit.
Prerequisite(s): ECON 2350 with a minimum grade of D- or BUSM 22EM with a minimum grade of D- or ENVR 2500 with a minimum grade of D- or IE 3412 with a minimum grade of D- or IS 3500 with a minimum grade of D- or MATH 2280 with a minimum grade of D- or MATH 3081 with a minimum grade of D- or MGSC 2301 with a minimum grade of D- or BUSM 224M with a minimum grade of D- or PHTH 2210 with a minimum grade of D- or POLS 2400 with a minimum grade of D- or PSYC 2320 with a minimum grade of D-
Prerequisite(s): MISM 2301 with a minimum grade of D-
Attribute(s): NUpath Analyzing/Using Data
Covers data wrangling principles and novel techniques for business analytics. Key topics include data profiling, data retrieval, data cleansing, and data integration, as well as data extraction and exploration via APIs. Applies the principles of data wrangling for structured and unstructured data using industry tools such as Oracle, SQL, statistical programming languages (R/Python), and visualization tools (Tableau). Offers students an opportunity to learn data wrangling techniques to identify and solve real-world data challenges, creating business value from the vast amount and types of traditional and big data.
Introduces the use of design, interaction, and visualization techniques and strategies to support the effective presentation and manipulation of business information. Based on principles from art, design, psychology, and information science, offers students opportunities to learn how to successfully choose appropriate methods of representing various kinds of business data to support analysis, decision making, and communication to organizational stakeholders.
Prerequisite(s): MGSC 2301 with a minimum grade of D- or BUSM 224M with a minimum grade of D- or ECON 2350 with a minimum grade of D- or BUSM 22EM with a minimum grade of D- or MATH 2280 with a minimum grade of D- or MATH 3081 with a minimum grade of D- or POLS 2400 with a minimum grade of D- or IE 4512 with a minimum grade of D-
Prerequisite(s): COMM 2301 with a minimum grade of D- or ECON 2350 with a minimum grade of D- or BUSM 22EM with a minimum grade of D- or MATH 2280 with a minimum grade of D- or MATH 3081 with a minimum grade of D- or MGSC 2301 with a minimum grade of D- or BUSM 224M with a minimum grade of D- or PHTH 2210 with a minimum grade of D- or POLS 2400 with a minimum grade of D- or PSYC 2320 with a minimum grade of D- or IE 3412 with a minimum grade of D-
Offers elective credit for courses taken at other academic institutions. May be repeated without limit.
Prerequisite(s): ECON 2350 with a minimum grade of D- or BUSM 22EM with a minimum grade of D- or IE 3412 with a minimum grade of D- or IS 3500 with a minimum grade of D- or MATH 2280 with a minimum grade of D- or MATH 3081 with a minimum grade of D- or MGSC 2301 with a minimum grade of D- or BUSM 224M with a minimum grade of D- or MISM 2301 with a minimum grade of D- or MISM 2420 with a minimum grade of D- or PHTH 2210 with a minimum grade of D- or POLS 2400 with a minimum grade of D- or PSYC 2320 with a minimum grade of D-
Offers special topics in Management Information Systems. May be repeated once.
Offers elective credit for courses taken at other academic institutions. May be repeated without limit.
Offers independent work under the direction of faculty members of the department on a chosen topic. Course content depends on instructor. May be repeated up to four times for a maximum of 8 semester hours. Management Science Courses
Source: Northeastern University Professional Programs's catalog, linked per course · table learning_unit · CourseShelf publish 61
