Dec 21, 2024

2022-2023 Undergraduate Catalog & Student Handbook

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2022-2023 Undergraduate Catalog & Student Handbook [ARCHIVED CATALOG]

Department of Data Science & Business Analytics

Data Science and Business Analytics

Department Chair: Dr. Shahram Taj, Professor

Assistant Chair: Dr. Rei Sanchez-Arias, Assistant Professor

Overview
Course Offerings

Degree Programs

Certificate Programs

Data Science

Business Analytics

Overview

Department of Data Science and Business Analytics offers two undergraduate degree programs, and three entry-level certificates. The undergraduate degree programs are Bachelor of Science in Data Science and Bachelor of Science in Business Analytics. The undergraduate entry-level certificate programs are Coding for Data Analytics, Entrepreneurship, and Health Systems.

There are five concentrations available to students in B.S. in Business Analytics and B.S. in Data Science:

Logistics & Supply Chain Management
Intelligent Mobility
Quantitative Economics and Econometrics
Big Data Analytics
Health Systems Engineering

Bachelor of Science, Data Science

See Program Description for full curriculum and details.

Florida Common Prerequisites: Data Science

Students who started as freshmen at Florida Poly (native students) must complete general education requirements and the following courses to enter the degree program as a junior:

COP 2271 Introduction to Computation and Programming Credits: 3
COP 3530 Data Structures & Algorithms Credits: 3
MAC 2311 Analytic Geometry and Calculus 1 Credits: 4
MAC 2312 Analytic Geometry and Calculus 2 Credits: 4
MAD 2104 Discrete Mathematics Credits: 3
PHY 2048 Physics 1 Credits: 3
PHY 2048L Physics 1 Laboratory Credits: 1
STA 3036 Probability and Statistics for Business, Data Science, and Economics Credits: 3
STA 2023 Statistics 1 Credits: 3

Transfer students must meet general education requirements and satisfy the following Florida State Common Prerequisites to enter the degree program as a junior:

COP 2271 (1)

& COP 3530

& MAC 2311

or MAC X281

& MAC 2312

or MAC X282

& MAD 2107

& PHY 2048/2048L

or PHY X048C
or PHY X043/X048L
or PHY X053/X053
or PHY X049C
or PHY X044/X049L
or PHY X054/X054L

& QMB 3200

& STA 2023

or EGS X025
or QMB X100
or STA X024
or STA X032
or STA X037
or STA X122

(1) Intro programming in C, C++, JAVA, or equivalent language.

Academic Learning Compact: Data Science

Florida Polytechnic University’s Academic Learning Compact describes what students, who follow the major’s study plan, will know and be able to do. These are listed as core student learning outcomes.

1. Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions.

2. Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline.

3. Communicate effectively in a variety of professional contexts.

4. Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.

5. Function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline.

6. Apply theory, techniques, and tools throughout the data science lifecycle and employ the resulting knowledge to satisfy stakeholders’ needs.

See Program Description for full curriculum and details.Bachelor of Science, Business Analytics

Florida Common Prerequisites: Business Analytics

Transfer students must meet general education requirements and satisfy the following Florida State Common Prerequisites to enter the degree program as a junior:

ACG X021

or ACG X022
or ACG X001 & ACG X011

& ACG X071

or ACG X301
or ACG X072

& BUL 2241

or BUL X131
or CGS X092
or GEB X350
or MAN X440
or PHI X600

& CGS 1100

or CGS X100C
or CGS X000
or CGS X530
or CGS X531
or CGS X570
or ISM X000

& ECO X013

& ECO X023

& EGS 3625

& MAC X311

or MAC X281

& STA X023

or EGS X025
or ESI X230
or QMB X100
or STA X024
or STA X032
or STA X037
or STA X122

Academic Learning Compact: Business Analytics

Student Learning Outcomes:	The Outcomes Involve These Skills:
Upon completion of the Business Analytics Degree, students will:	Content	Critical Thinking	Communication
Apply current business analytics concepts, techniques, and practices to solve business problems.	X
Analyze a given business problem using appropriate analytics techniques to generate insights and solutions.		X
Communicate effectively insights, analysis, conclusions, and solutions to a diverse audience.			X