Course Descriptions

The Course Descriptions catalog describes all undergraduate and graduate courses offered by Michigan State University. The searches below only return course versions Fall 2000 and forward. Please refer to the Archived Course Descriptions for versions prior to Fall 2000.

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Course Descriptions: Search Results

MSC 317  Quantitative Business Research Methods

Description:
Application of statistical techniques, including forecasting, to business decision making. Includes applications of linear regression and correlation, analysis of variance, selected non-parametric tests, time series, and index numbers.
Effective Dates:
FALL 1992 - SUMMER 1999


MSC 317  Quantitative Business Research Methods

Description:
Application of statistical techniques, including forecasting, to business decision making. Includes applications of linear regression and correlation, analysis of variance, selected non-parametric tests, time series, and index numbers.
Effective Dates:
FALL 1999 - FALL 2001


MSC 317  Quantitative Business Research Methods

Description:
Application of statistical techniques, including forecasting, to business decision making. Includes applications of linear regression and correlation, analysis of variance, selected non-parametric tests, time series, and index numbers.
Effective Dates:
SPRING 2002 - SUMMER 2002


MSC 317  Quantitative Business Research Methods

Semester:
Fall of every year, Spring of every year, Summer of every year
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 3   Lab Hours: 1
Prerequisite:
(STT 315)
Restrictions:
Open only to juniors or seniors in The Eli Broad College of Business. Not open to students in The School of Hospitality Business.
Description:
Application of statistical techniques, including forecasting, to business decision making. Includes applications of linear regression and correlation, analysis of variance, selected non-parametric tests, time series, and index numbers.
Semester Alias:
ML 317, MTA 317
Effective Dates:
FALL 2002 - SUMMER 2009


MKT 317  Quantitative Business Research Methods

Semester:
Fall of every year, Spring of every year, Summer of every year
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 3   Lab Hours: 1
Prerequisite:
STT 315
Restrictions:
Open to juniors or seniors in the Eli Broad College of Business and The Eli Broad Graduate School of Management and not open to undergraduate students in the School of Hospitality Business.
Description:
Application of statistical techniques, including forecasting, to business decision making. Includes applications of linear regression and correlation, analysis of variance, selected non-parametric tests, time series, and index numbers.
Semester Alias:
MSC 317
Effective Dates:
FALL 2009 - SUMMER 2010


MKT 317  Quantitative Business Research Methods

Semester:
Fall of every year, Spring of every year, Summer of every year
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 3
Prerequisite:
STT 315
Restrictions:
Open to juniors or seniors in the Eli Broad College of Business and The Eli Broad Graduate School of Management and not open to undergraduate students in the School of Hospitality Business and open to juniors or seniors in the Applied Engineering Sciences major.
Description:
Application of statistical techniques, including forecasting, to business decision making. Includes applications of linear regression and correlation, analysis of variance, selected non-parametric tests, time series, and index numbers.
Semester Alias:
MSC 317
Effective Dates:
FALL 2010 - FALL 2012


MKT 317  Quantitative Business Research Methods

Semester:
Fall of every year, Spring of every year, Summer of every year
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 3
Prerequisite:
STT 315
Restrictions:
Open to juniors or seniors in the Eli Broad College of Business and The Eli Broad Graduate School of Management and not open to undergraduate students in the School of Hospitality Business and open to juniors or seniors in the Applied Engineering Sciences major.
Description:
Application of statistical techniques, including forecasting, to business decision making. Includes applications of linear regression and correlation, analysis of variance, selected non-parametric tests, time series, and index numbers.
Semester Alias:
MSC 317
Effective Dates:
SPRING 2013 - SPRING 2018


MKT 317  Quantitative Business Research Methods

Semester:
Fall of every year, Spring of every year, Summer of every year
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 3
Prerequisite:
STT 200 or STT 201 or STT 315
Restrictions:
Open to sophomores or juniors or seniors in the Accounting major or in the Business - Admitted major or in the Finance Major or in the Human Resource Management Major or in the Management Major or in the Supply Chain Management Major or in the Marketing Major or in the Applied Engineering Sciences Major.
Description:
Application of statistical techniques, including forecasting, to business decision making. Includes applications of linear regression and correlation, analysis of variance, selected non-parametric tests, time series, and index numbers.
Semester Alias:
MSC 317
Effective Dates:
SUMMER 2018 - SUMMER 2019


MKT 317  Market Analytics

Semester:
Fall of every year, Spring of every year, Summer of every year
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 3
Prerequisite:
STT 200 or STT 201 or STT 315 or STT 351
Restrictions:
Open to sophomores or juniors or seniors in the Accounting major or in the Business - Admitted major or in the Finance Major or in the Human Resource Management Major or in the Management Major or in the Supply Chain Management Major or in the Marketing Major or in the Applied Engineering Sciences Major.
Description:
Descriptive and predictive market analytics. Applications of analytics to real-world business decisions. Assessment and manipulation of large datasets. Application of statistical techniques to convert data into useable information. Communication of findings in a meaningful way.
Semester Alias:
MSC 317
Effective Dates:
FALL 2019 - Open