Nov 15, 2018  
2018-2019 Academic Catalog 
    
2018-2019 Academic Catalog

Department of Data Science & Business Analytics


Data Science and Business Analytics

Department Chair: Dr. Shahram Taj, Professor

Data Science
Business Analytics

Department of Data Science and Business Analytics established in January 2018 is offering 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 Analytics concentration in M.S. in Computer Science with two tracks, Big Data Analytics and Logistics Analytics.

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

  1. Logistics & Supply Chain Management

  2. Intelligent Mobility

  3. Quantitative Economics and Econometrics

  4. Big Data Analytics

  5. Internet of Things

  6. Health Informatics

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.

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

Understand relevant statistical and optimization concepts and know how to apply these to data science problems in practice.

X

X

 

Apply emerging artificial intelligence technologies to applicable problems.

X

 

 

Look for unbiased hidden patterns to understand KPIs and organizational challenges.

 

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

Learning Compact: Business Analytics

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. Assessments that will measure these learning outcomes are also listed.

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

 

Understand 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