Undergraduate Minor - Minor in Social Science Quantitative Data Analytics

Program:
Minor in Social Science Quantitative Data Analytics
Program Code:
7786 Social Science Quantitative Data Analytics - SS Quantitative Data Analytics
Program Level:
Undergraduate
Award Type:
Minor Undergraduate
Start Term:
FS19


Excerpt from the official Academic Programs Catalog:

Listed below are the approved requirements for the program from the official Academic Programs Catalog.
Students must consult their advisors to learn which specific requirements apply to their degree programs.
Following this section are the requirements as represented in Degree Navigator, MSU's online advising tool. The Degree Navigator section is only available for programs using Degree Navigator for degree certification.

College of Social Science

Undergraduate Programs

Minor in Social Science Quantitative Data Analytics

The Minor in Social Science Quantitative Data Analytics, administered by the College of Social Science, enhances the education and empowers students interested in understanding how core social science skills such as critical thinking and theoretically oriented analysis are useful in the systematic collection, integration, analysis, and presentation of large-scale and dense information.
The minor is available as an elective to students who are enrolled in bachelor’s degree programs in the College of Social Science. With the approval of the department and college that administer the student’s degree program, the courses that are used to satisfy the minor may also be used to satisfy the requirements for the bachelor’s degree.

Requirements for the Minor in Social Science Quantitative Data Analytics

Students must complete a minimum of 15 credits from the following:
1. The following course (3 credits):
PLS 202 Introduction to Data Analytics and the Social Sciences 3
2. One of the following quantitative methods courses (3 or 4 credits):
EC 420 Introduction to Econometric Methods 3
GEO 363 Introduction to Quantitative Methods for Geographers 3
PSY 395 Research Design and Measurement in Psychological Research 3
SOC 282 Quantitative Analysis for Social Research 4
STT 201 Statistical Methods 4
STT 315 Introduction to Probability and Statistics for Business 3
3. Two of the following courses (6 to 8 credits):
CMSE 201 Introduction to Computational Modeling 4
CMSE 202 Computational Modeling Tools and Techniques 4
CSE 231 Introduction to Programming I 4
CSE 232 Introduction to Programming II 4
EC 421 Advanced Econometric Methods 3
GEO 325 Geographic Information Systems 3
GEO 429 Geoprocessing 3
PLS 397 Analyzing and Visualizing Data in Politics 3
4. The following capstone course (3 credits):
SSC 442 Social Science Data Analytic Applications 3


 
Degree Requirements from Degree Navigator.

NOTE: Degree Navigator is an advising tool only and should not be viewed as a contract with the student. Any questions about the requirements should be directed to an academic advisor.


Social Science Quantitative Data Analytics, MNUN (7786)

Required Credits: 15    Program Version: FS19

Requirement 1: Minor - Social Science Quantitative Data Analytics - Introduction to Data Analytics and the Social Sciences
Minor - Social Science Quantitative Data Analytics - Introduction to Data Analytics and the Social Sciences: 1 course from PLS202

Requirement 2: Minor - Social Science Quantitative Data Analytics - Quantitative Methods
Minor - Social Science Quantitative Data Analytics - Quantitative Methods: 1 course from EC420, GEO363, PSY395, SOC282, STT201, STT315

Requirement 3: Minor - Social Science Quantitative Data Analytics - Required Selection
Minor - Social Science Quantitative Data Analytics - Required Selection: 2 courses from CMSE201, CMSE202, CSE231, CSE232, EC421, GEO325, GEO429, PLS397

Requirement 4: Minor - Social Science Quantitative Data Analytics - Social Science Data Analytics Applications
Minor - Social Science Quantitative Data Analytics - Social Science Data Analytics Applications: 1 course from SSC442

Requirement 5
15 credits required to complete this degreeThe specified coursework in this program may not equal this total. The difference must be made up of open options which must be acceptable within the limits of this program. In cases of doubt, please consult an academic advisor.