Apr 19, 2024

Undergraduate Catalog 2022-2023

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Undergraduate Catalog 2022-2023 [ARCHIVED CATALOG]

Data Analytics, BS

The Data Analytics undergraduate degree program is a joint effort between three colleges at Savannah State University (SSU): The College of Business Administration (COBA), The College of Sciences and Technology (COST), and the College of Liberal Arts and Social Sciences (CLASS). The program will contain very low barriers to entry and draw on competenices from science and engineering, business, liberal arts and education. This degree will expose students to techniques for turning raw datea into usable information by sextracting actionale insights from big data then using it to identify trends, draw inferences, and surmise conslusions based on their analyses. The primary aim of this program is to equip our graduates with the hybridization of programming, information systems, applied statistics, management and business, data analysis and decision support in order to formulate managerial insights, and make decisions to help meet the changing landscape of 21st century big data. Upon completion of this degree program, graduates will be prepared for a wide range of career options across the public and sector which include but not limited to: Business Intelligence Analyst, Data Analyst, Consumer Insight Analyst, and Product Analyst.

Program of Study

Areas A, B, C, D, E (42 Hrs)

See Core Curriculum

Required in Core Area D:

DATA 1501 - Introduction to Data Science Credits: 3
CSCI 1130 - Computer & Its Applications Credits: 3
Or
CILS 1130 - Introduction to Computer Applications Credits: 3
Or
CSCI 1301 - Computer Science I Credits: 3

First Year Experience

BUSA 1103 - Introduction to Business and Leadership Credits: 3
Or
CLAS 1103 - Freshman Year Experience Credits: 2
Or
COST 1103 - Freshman Year Experience Credits: 2

Area F (18 Hrs)

MATH 1113 - Pre-Calculus Credits: 3 *
MATH 1401 - Elementary Statistics Credits: 3 *
(If MATH 1401 was taken for Area A2 then HSEM 2201 or SOCI 2101 )
CIVT 2113 - Introduction to Data Analytics in Transportation & Logistics Credits: 3 *
Or
DATA 2113 - Introduction to Data Analytics in Transportation & Logistics Credits: 3 *
CLASS:
BEHV 1101 - Introduction to Behavior Analysis: Professions Credits: 3 *
Or
HSEM 2201 - Research Methods & Statistics Credits: 3 *
Or
SOCI 1101 - Introduction to Sociology Credits: 3 *
COST:
ENGR 1101 - Introduction to Engineering Credits: 1 *
Or
ENVS 2401 - Introduction to Environmental Science Credits: 3 *
Or
MSCI 2010K - Introduction to Oceanography Credits: 4 *
COBA:
ACCT 2101 - Principles of Financial Accounting Credits: 3 *
Or
BUSA 2106 - The Environment of Business Credits: 3 *
Or
BUSA 2185 - Introduction to Business Research Credits: 3 *
Or
CILS 2109 - Introduction to Global Logistics, Transportation & International Business Credits: 3 *
Or
CILS 2130 - Business Information Systems Credits: 3 *
Or
ECON 2105 - Principles of Macro-Economics Credits: 3 *
Or
ECON 2106 - Principles of Micro-Economics Credits: 3 *

Major Area Courses - Common Curriculum (27 Hrs)

ITSC 3702 - Introduction to Geographical Information Systems Credits: 3 *
Or
MSCI 3702 - Introduction to Geographical Information Systems Credits: 3 *
Or
POLS 3702 - Introduction to Geographic Information Systems Credits: 3 *
DATA 3190 - Data Visualization Credits: 3 *
Or
ENGT 3190 - Data Visualization Credits: 3 *
DATA 3560 - Big Data Analysis in the Sciences Credits: 3 *
Or
MSCI 3560 - Big Data Analysis in the Sciences Credits: 3 *
CILS 3109 - Introduction to Data Analytics & Mining Credits: 3 *
Or
DATA 3109 - Introduction to Data Analytics and Mining Credits: 3 *
CILS 3111 - Applied Statistics for Data Science Credits: 3 *
Or
DATA 3111 - Applied Statistics For Data Science Credits: 3 *
DATA 4025 - Introduction to Machine Learning Credits: 3 *
CIVT 3113 - Advanced Data Analytics in Transportation Credits: 3 *
Or
DATA 3113 - Advanced Data Analytics in Transportation Credits: 3 *
DATA 4902 - Sr. Research/Internship in Data Analytics Credits: 3 *
CILS 4137 - Database Design & Implementation Credits: 3 *

Major Electives: Choose 3 from the following (9 Hrs)

HSEM 3822 - Tools for Decision-making in HSEM Credits: 3 *
DATA 3115 - Mathematical Data Analytics Credits: 3 *
Or
MATH 3115 - Mathematical Data Analytics Credits: 3 *
MATH 3000 - Introduction to Bio-Statistics Credits: 3 *
MKTG 3175 - Principles of Marketing Credits: 3 *
MKTG 3179 - Global Electronic Business Credits: 3 *
CILS 3325 - Data Communication & Networks Credits: 3 *
DATA 4301 - Urban Data Analytics and Visualization Credits: 3 *
Or
HSEM 4301 - Urban Data Analytics and Visualization Credits: 3 *
MKTG 4179 - International Marketing and Export Management Credits: 3 *
CILS 3196 - Supply Chain Analytics Credits: 3 *
MKTG 4116 - Marketing Research Credits: 3 *
FINC 3155 - Business Finance Credits: 3 *
MGNT 3165 - Management of Organizations Credits: 3 *
MGNT 3185 - Operations Management Credits: 3 *
BUSA 3145 - Global Business Issues Credits: 3 *
BUSA 4126 - Business Policy Credits: 3 *
CILS 3010 - Business Intelligence Credits: 3 *
Or
DATA 3010 - Business Intelligence Credits: 3 *
POLS 3813 - Introduction to Urban Planning Credits: 3 *

Choose 1 from the following (3 Hrs)

MSCI 3901 - Technical Writing & Seminar Credits: 3 * *
Or
POLS 3301 - Research Methods in Political Science Credits: 3 * *

Upper Level electives in any major - 3000 and 4000 level (15 Hrs)

Example: 15 hours in HSEM 3000/4000 courses.

**Must be advisor approved. Classes from Major Electives above highly recommended.**

General Electives (6 Hrs)

Total: 122 Hours

*A grade of “C” or better is required