Bachelor of Science, Business Analytics (Program Description)

Business Analytics enable organizations to turn complex challenges into substantial opportunities by transforming data into information, and information into insights for making better decisions and improving results.

The Business Analytics curriculum provides training in the skills needed to solve complex problems that occur in the management of big data analytics, marketing, finance, and innovation and technology.

The undergraduate program in Business Analytics offers an education that can be found only at Florida Poly: data analytics expertise with a business focus by offering a cutting-edge program especially designed to prepare students for top jobs in today’s technology and data intensive business world.

After completion of the B.S in Business Analytics, students will be able to:

Apply current business analytics concepts, techniques, and practices to solve business problems.
Analyze a given business problem using appropriate analytics techniques to generate insights and solutions.
Communicate effectively insights, analysis, conclusions, and solutions to a diverse audience.

For program purpose, objectives, and learning outcomes see the Department of Data Science and Business Analytics .

For an example degree plan see the Bachelor of Science, Business Analytics (Plan of Study) .

**Course offering frequency subject to change**

Program Curriculum: 120 Total Credits

College Skills (1) & Co-Curricular

All majors are required to complete an approved internship/professional experience prior to graduation.

EGN 1006 - Career Design for STEM Disciplines Credits: 1
IDS 4941 - Professional Experience Internship Credits: 0

General Education (39)

Click here to view the complete list of General Education offerings. The State of Florida requires a minimum of 36 credit hours of general education for the baccalaureate degree. The following are required for the B.S. in Science and Technology Management.

Communication (6)

ENC 1101 - English Composition 1: Expository and Argumentative Writing Credits: 3
ENC 2210 - Technical Writing Credits: 3

Arts and Humanities (9)

Students in Business Analytics must take IDS 2144 and an additional 6 credit hours from the following courses.

Program Core Required:
IDS 2144 - Legal, Ethical, and Management Issues in Technology Credits: 3
Required, one of the following:
ARH 2000 - Art Appreciation Credits: 3
HUM 2020 - Introduction to the Humanities Credits: 3
LIT 2000 - Introduction to Literature Credits: 3
MUL 2010 - Music Appreciation Credits: 3
PHI 2010 - Introduction to Philosophy Credits: 3
Optional, one of the following or another from above:
HUM 2022 - Explorations in the Humanities Credits: 3

Social Sciences (9)

Students in Business Analytics must take both ECO 2013 and ECO 2023 as well as 3 credits of history or political science. If the student has met the civic literacy requirement, the student may take any social science course.

Program Core Required:
ECO 2013 - Principles of Macroeconomics Credits: 3
ECO 2023 - Principles of Microeconomics Credits: 3
Required, one of the following:
AMH 2020 - American History Since 1877 Credits: 3 (Fulfills Civic Literacy Requirement)
POS 2041 - American Government Credits: 3 (Fulfills Civic Literacy Requirement)
PSY 2012 - General Psychology Credits: 3
Optional, one from the following or another from above:
AMH 2010 - American History to 1877 Credits: 3
HIS 2930 - Special Topics Credits: 3

Mathematics (7)

MAC 2311 - Analytic Geometry and Calculus 1 Credits: 4
STA 2023 - Statistics 1 Credits: 3

Natural Sciences (8)

CHM 2045 - Chemistry 1 Credits: 3
CHM 2045L - Chemistry 1 Laboratory Credits: 1
And
EVR 1001 - Environmental Science Credits: 3
EVR 1001L - Environmental Science Lab Credits: 1

Technical Foundations (18)

IDS 1380 - Foundational Lessons in Applications of MathEmatics Credits: 3
COP 2271 - Introduction to Computation and Programming Credits: 3
EGN 3448 - Operations Research Credits: 3
COP 3710 - Database 1 Credits: 3
STA 3036 - Probability and Statistics 2 for Business, Data Science, and Economics Credits: 3
ISC 2310 - Python for Data Analytics Credits: 3

Business Analytics Core (36)

All Business Analytics majors will take these courses. IDS 2144, ECO 2013, and ECO 2023 are additional core requirements. They are listed within the general education requirements.

FIN 2001 - Introduction to Business Finance Credits: 3
ACG 2020 - Accounting for Managers Credits: 3
ENT 2112 - Entrepreneurial Opportunity Analysis Credits: 3
BUL 2241 - Law, Public Policy, Negotiation and Business Credits: 3
GEB 3373 - International & Comparative Dimensions of Business Credits: 3
EGS 3625 - Engineering & Technology Project Management Credits: 3
ECP 4031 - Benefit Cost Analysis Credits: 3
MAN 4633 - Strategic Management Credits: 3
CAP 4770 - Data Mining & Text Mining Credits: 3
COP 2073 - Foundations of Data Analytics Credits: 3
MAN 3504 - Introduction to Operations and Supply Chain Management Credits: 3
MAR 4705 - Marketing Analytics Credits: 3
QMB 4690 - Process Design Using Lean Sigma Credits: 2

Business Analytics Concentrations (12)

Students choose one concentration (12 credits) to supplement their program.

Advanced Topics

Select a combination of 12 credits from Business Analytics concentration courses or program electives.

Logistics and Supply Chain Management

Logistics and Supply Chain Management is the coordination of all logistical functions in an enterprise including acquisition, handling, the internal allocation of resources, delivery, and output. Students develop knowledge of the business and technical aspects of managing large-scale delivery operations. The expert in Logistics/Supply Chain Management optimizes these complex networks to ensure efficiency and satisfaction.

MAN 3570 - Purchasing and Materials Management Credits: 3
MAN 3610 - Global Logistics Management Credits: 3
Select two courses from the following:
MAN 4594 - Reverse Logistics Credits: 3
MAN 4522 - Planning and Control Systems for Supply Chain Management Credits: 3
MAN 4593 - National Transportation Management Credits: 3

Intelligent Mobility & Autonomous Systems

Intelligent Mobility uses data and technology to connect people, places, and goods across all transportation modes. Growth in intelligent mobility will transform the way people travel, interact with their environment, and connect goods and services.

Required:
ESI 4513 - Intelligent Mobility Credits: 3
Choose two or three from the following:
ESI 4011 - Data Analytics for Smart City & Transportation Credits: 3
ESI 3005 - Introduction to Networks and a Connected World Credits: 3
COP 4421 - Autonomous Systems Programming Credits: 3
CAP 4613 - Applied Deep Learning Credits: 3
Possible Elective (maximum of one may be taken):
MAN 4593 - National Transportation Management Credits: 3
CAP 4410 - Computer Vision Credits: 3
CEN 4721 - Human Computer Interaction Credits: 3

Quantitative Economics & Econometrics

Quantitative Economics and Econometrics focuses on quantitative analysis and rigorous modeling of economic phenomena. This includes analysis of individual and firm decisions when data is messy, incomplete, or otherwise imperfect, analysis of strategic situations, and analysis of market outcomes and trends. Training in Quantitative Economics and Econometrics hones critical reasoning skills and prepares students for analytical careers or for graduate or professional study.

ECO 4400 - Game Theory and Strategic Decisions Credits: 3
ECO 4422 - Econometrics: Causal Inference, Panel and Survey Data Credits: 3
ECP 3004 - Contemporary Economic Issues Credits: 3
ECP 4044 - Economic Analysis for Technologists Credits: 3

Business Analytics Electives (6)

Students choose six credits from the following electives:

COP 3834 - Web Application Development Credits: 3
MAC 2312 - Analytic Geometry and Calculus 2 Credits: 4
MAN 3613 - Supply Chain Risk Management Credits: 3
STA 3241 - Statistical Learning Credits: 3
STA 4853 - Time Series Analysis for Business, Data Science, and Economics Credits: 3
Any DSBA concentration course outside of a pursued concentration

Program Capstone Sequence (6)

IDC 4942 - Data Analytics Capstone I Credits: 3
IDC 4943 - Data Analytics Capstone II Credits: 3