Data Science and Business Analytics

Department Chair: Dr. Shahram Taj, Professor

Data Science

Business Analytics

Department of Data Science and Business Analytics offers two undergraduate degree programs and one graduate concentration. The undergraduate degree programs are Bachelor of Science in Data Science and Bachelor of Science in Business Analytics. The department also offers a Data Science track in the M.S. in Computer Science.

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

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 2271C - 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
QMB 3200 - Advanced Quantitative Methods 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 2271C (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.

Student Learning Outcomes:	The Outcomes Involve These Skills:
Upon completion of the Data Science Degree, students will be able to:	Content	Critical Thinking	Communication
Demonstrate an in-depth knowledge of fundamental data science concepts.	X
Analyze a given data science problem and be able to formulate a correct solution in terms of the datasets needed, the learning techniques required and the software technologies to be utilized.	X		X
Turn data into actionable insights by using advanced analytics, visualization, reporting and machine learning.		X	X
Demonstrate relevant statistical and optimization concepts and apply these to data science problems in practice.	X	X
Apply emerging artificial intelligence technologies to applicable problems.	X

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
Demonstrate a firm understanding of fundamental business issues and processes.	X
Analyze a given business problem and apply the appropriate analytics techniques to realize the business goals.	X
Think critically and demonstrate creative decision-making skills.		X
Develop analytical and quantitative skills.		X
Communicate clearly, effectively and logically in a business situation.			X
Successfully manage a team of analytics and engineering professionals in leading-edge technology projects.			X
Plan, analyze, and forecast across multiple business operations.	X	X
Demonstrate relevant statistical concepts and know how to apply these to business analytical problems in practice.	X
Apply analytics techniques to the specific challenges of their chosen concentration.		X

Degree Programs

Bachelor

Bachelor of Science, Data Science (Plan of Study)

Program Structure

Certificate Program