Applied Business Data Analytics

Description
The concentration in applied business data analytics is created for students who are interested in practical uses for computer-based tool suites that are capable of managing vast amounts of data; providing sophisticated but easy to use means to manage and analyze that data; and to leverage those tools for making good decisions about projects, process designs and fundamental decision making tasks. Exposure to predictive analytics and modeling, big data techniques and visualization provides significant insight into the advanced uses of the computer-based tools. Critical thinking is an important skill and mindset that is required to establish and evaluate evidence-based benchmarks for making good decisions leading to high quality outcomes.

Requirements

• Students must complete a minimum of 18 credit hours including 12 of upper division hours for this concentration.
• All courses must be completed with a grade of “C” (2.00) or higher.

Core 15 Hours Required

CIS 105 Computer Applications and Information Technology (3) (CIS 105 is a prerequisite to the other four courses listed here.)

CIS 311 Business Project Management (3)

CIS 308 Advanced Excel in Business (3)

CIS 309 Business Process Management (3)

CIS 405 Business Intelligence (3)

STATISTICS ELECTIVE - 3 hours

ECN 221 Business Statistics, CS (3) (Prerequisites: MAT 211 or 271 with C or better)

ECN 231 Honors Business Statistics, CS (3) (Prerequisites: MAT 211 or 271 with C or better)

AGB 360 Agribusiness Statistics, CS (3)

APM 301

QBA 221 Statistical Analysis, CS (3) (Prerequisites: MAT 119, 211 or 271)

ECE 380 (FA 01 or after)

GCU 495 (THROUGH S298)

IEE 380 Probability and Statistics for Engineering Problem Solving, CS (3) (Prerequisite(s): Fulton Engineering undergraduate or Engineering Management minor; MAT 266 (or 271) with a C or better; or Industrial Engineering graduate student)

JUS 302 Statistical Analysis for Justice Studies, CS (3) (Prerequisites: ENG 102, 105 or 108 with C or better; Minimum 2.00 cum GPA; MAT 117, MAT 142 MAT 170 or approved MA GS course; Minimum 24 hours)

POS 401 Political Statistics, CS (3) (Prerequisite: POS 301 with C or better)

PSY 230 Introduction to Statistics, CS (3) (Prerequisite(s): PSY 101 (PGS 101) with C or better; MAT 119, 170, 242, 243, 251, 260, 261, 262, 270, 271, 272, 274, 290 or 291 with C or better)

SOC 390 Social Statistics I, CS (3) (Prerequisite: MAT 142 or higher)

SOC 395

STP 226 Elements of Statistics, CS (3) (Prerequisites: MAT 117 or MAT 142 or other course meeting General Studies MA requirement with C or better or completed the Mathematics Placement Test with a score of 50% or higher)

STP 231 Statistics for Life Sciences, CS (3) (Prerequisites: MAT 117 or 142 with C or better or completed the Mathematics Placement Test with a score of 50% or higher)

STP 326 Intermediate Probability, CS (3) (Prerequisites: MAT 210, MAT 251, MAT 265 or MAT 270 with C or better)

STP 395

STP 420 Introductory Applied Statistics, CS (3) (Prerequisite(s): MAT 210 (or MAT 251, 265 or 270) with C or better)