Bachelor of Science in Data Science

Program Purpose

The Bachelor of Science in Data Science (DS) program seeks to provide students with a solid foundation in data analysis and data management methods and skills, as well as experience in the practical applications of data science to prepare students for careers or advanced studies in data analysis or a related field.

Program Objectives

  1. Provide students with a solid foundation in the theories and methods of mathematics and statistics, computer science principles relating to data representation, retrieval, and programming, key technologies in data science, as well as the effective use of data analysis tools to practical applications.
  2. Equip students with hands-on experience and professional skills in practical data analysis, problem solving, and data driven decision-making.
  3. Enable students to develop critical thinking and communication skills, along with a sense of teamwork, professional attitudes, and ethical judgment.

Program Learning Outcome.

After completing this program, students should:

PLO1: demonstrate command of key concepts, methods, theories, and application in the core areas of data science: general statistical methods, regression, programming, and data management.

PLO2: Demonstrate proficiency with statistical analysis of data, develop the ability to build and assess data-based models, and execute statistical analyses with professional statistical software; develop relevant programming abilities and skill in data management.

PLO3: Develop practical skills and professional experience through experiences with practical and internships in a professional working environment to help students acquire practical employment skills.

PLO4: Develop cooperative and teamwork skills through projects; identify social, legal, and ethical issues in data science and apply a professional code of ethics relevant to the data science profession.

Program Concentration

The Department of Data Science currently offers the Bachelor of Science in Data Science program with two concentrations: Precision Health and Creative Industries.

Precision Health: Precision Health is an emerging field that takes a big data approach in an attempt to precisely identify individual needs and conditions to enhance health and wellness through disease prediction and prevention. It shifts the healthcare paradigm from the traditional “reactive” approach, where a person is treated after a disease is diagnosed, to a newer “proactive” approach where disease prediction and prevention are emphasized.

Creative Industries: Creative economy refers to industries in which the creative element is central to what is being produced, for example, advertising, film and television, broadcasting, publishing, architecture, design, music, visual arts, sports analysis, and performing arts. Data analysis has become essential in understanding consumer behavior, predicting consumption patterns, and deciding which productions will succeed in the creative economy.

Curriculum Structure

The BS in Data Science is a 120-semester credit curriculum with three major components: major requirements, core general education courses, and free electives.

Curriculum Structure for BS in Data Science

Area

CR

LAS Allocation

Major Requirements

69

30

 

Mathematics and Statistics

27

24

 

Computer Science

18

3

 

Concentration courses, one of

12

3

 

 

Precision Health

12

3

 

 

Creative Industries

12

3

 

Senior Synthesis and Career Development

4

0

 

Major Electives

8

0-8

General Education Core

 

42

38

 

Humanities

 

9

9

 

Art & Aesthetics

 

5

5

 

Values and Ethics

 

3

3

 

Writing and Rhetoric

 

9

9

 

Quantitative Reasoning

3*

  

 

Natural Science

 

4

3

 

Social Sciences

 

3

3

 

Foreign Language

 

6

6

 

Health and Wellness

 

3

0

Free Electives

9

0-9

Total Required Credits for Graduation

120

≥ 65

* Satisfied through major

Graduation Requirement
Students must complete all the required credits with a minimum GPA of 2.0 overall and across all the major courses in order to graduate. Students must also complete at least 40 courses designated as “LAS” or Liberal Arts and Science in accordance with New York State regulations.

Course List

  • Major Requirements (69 credits)

The major requirements are comprised of fundamental courses in mathematics, statistics, and computer science, concentration courses in either precision health or creative industries, as well as courses that enable students to develop professional experience and insights.

Major Required Courses BS in Data Science

Code

Course Title

Cr

LAS

Prerequisite(s)

Mathematics and Statistics (27 cr)

 

 

 

MAT105

Calculus I

4

Y

None

MAT103

Linear Algebra

4

Y

None

MAT106

Calculus II

4

Y

MAT105

STA101

Introduction to Statistics

3

Y

None

STA205

Statistical Computing and Graphics

3

N

STA101

STA202

Introduction to Probability

3

Y

STA101 & MAT106

STA211

Statistical Theory and Methods

3

Y

STA202

STA311

Applied Regression Analysis

3

Y

STA101 & MAT103

Computer Science (18 cr)

 

 

 

CIS102

Introduction to Computing

3

N

None

CIS105

Data Structure and Algorithms

3

Y

CIS102

CIS221

Database Systems

3

N

CIS102

CIS331

Data Mining

3

N

CIS105 & STA101

CIS335

Machine Learning and Artificial Intelligence

3

N

CIS105 & STA101

CIS341

Cloud Computing and Big Data

3

N

CIS102

Senior Synthesis and Career Development (4 cr)

 

 

 

DAS451

Senior Project

4

N

Department approval

Concentration (12 cr)

 

 

 

Precision Health

 

 

 

Required Core Courses (must complete all)

 

 

 

BMS231

Public Health & Epidemiology

3

N

STA101

BMS245

Introduction to Precision Health

3

N

None

DAS342

Health Data Analytics

3

N

STA101

STA341

Survival Analysis

3

Y

STA211/instruct. approval

Creative Industries

 

 

 

Required Core Courses (must complete all)

 

 

 

ECO211

Microeconomics

3

Y

MAT105

BUS211

Marketing for Creative Industries

3

N

None

BUS213

Business Finance

3

N

ACC221

DAS341

Business Data Analysis

3

N

STA101

Major Electives (8 cr, select from the following)

 

 

 

STA335

Bayesian Analysis

3

Y

STA211/instruct. approval

STA321

Design and Analysis of Experiments

3

Y

STA211/instruct. approval

DAS321

Sample Survey and Customer Analytics

3

N

STA101

CIS121

Java Programming

3

N

None

CIS103

Web Development

3

N

None

CIS104

Essentials for Software Development in Data Science

3

N

None

CIS241

Practical Data Analytics Using Python

1

N

CIS102

CIS242

Computational Analysis and Practical Programming

1

N

MAT105, MAT103, STA101 & CIS102

DAS151A

Real-time Data Analysis A

1

N

None

DAS151B

Real-time Data Analysis B

1

N

DAS151A

DAS152A

Applied Real-time Data Analysis A

1

N

DAS151B

DAS152B

Applied Real-time Data Analysis B

0

N

DAS152A

DAS351

Data Science Internship

3

N

Permission form

DAS461

Directed Study: Career Development

2

N

Upon instruct. approval

MAT207

Calculus III

3

Y

MAT106

STA331

Multivariate Analysis

3

Y

STA211 or instruct. approval

STA345

Nonparametric Statistics

3

Y

STA211 or instruct. approval

STA305

Advanced Statistical Computing and Graphics

3

Y

STA211 & STA205/instruct. approval

BSC333

Introduction to Bioinformatics

3

Y

STA101

DAS345

Introduction to Computational Biology

3

N

BSC101 & STA101

BSC221

Human Genetics and Genomics

3

N

BSC101

ECO343

Health Economics

3

N

ECO101

BUS335

Pricing and Revenue Management

3

N

ECO101 & MAT105

MAT311

Matrix Analysis

3

Y

MAT103

STA371

Optimization

3

Y

STA211/instruct. approval

Total Credits Required for Graduation 

69

  

  • General Education Core (42 credits)

The College requires that all undergraduate students, regardless of major, complete core general education courses in nine distributions. Students of the Data Science program can meet the Quantitative Reasoning distribution requirement through their major courses. As a result, 42 general education credits from the LAS program are required.

Specifically, BS in Data Science students are required to take ENG102 English Composition II as part of the Writing and Rhetoric distribution, and ECO101 Principles of Economics as part of the Social Science Distribution.

  • Free Electives (9 credits)

Students are free to choose 9 credits beyond major and Generation Education requirements from any college level courses offered by the College.

Minor in Data Analytics

The Department of Data Science at FTC Middletown offers minor in Data Analytics for all undergraduates from other college major programs. To earn a minor in Data Analytics, students are required to meet any requirement from his/her major program and complete a total of 18 credits in Data Science courses as required below, with a minimum GPA of 2.0 overall for all minor courses.

Required Courses for Minor in Data Analytics1

CodeCourse TitleCrPrerequisite(s)
Core Requirements (12 cr)12 
CIS102Introduction to Computing3None
CIS221Database Systems3CIS102
STA205Statistical Computing and Graphics3STA101
STA331Applied Regression Analysis3STA101 & MAT103
Electives (6 cr, Select two courses from the following)6 
STA202Introduction to Probability3STA101 & MAT106
STA211Statistical Theory and Methods3STA202
STA305Advanced Statistical Computing and Graphics3STA211 & STA205
STA321Design and Analysis of Experiments3STA211
STA331Multivariate Analysis3STA211
STA335Bayesian Analysis3STA211
STA341Survival Analysis3STA211
STA345Nonparametric Statistics3STA211
STA371Optimization3STA211
CIS105Data Structure and Algorithms3CIS102
CIS331Data Mining3CIS105 & STA101
CIS335Machine Learning and Artificial Intelligence3CIS105 & STA101
CIS341Cloud Computing and Big Data3CIS102
DAS321Sample Survey and Customer Analytics3STA101
DAS341Business Data Analytics3STA101
DAS342Health Data Analytics3STA101
DAS345Introduction to Computational Biology3BSC101 & STA101
Total Credits Required 18 

1 To register any course, student must either meet the pre-requisites or get approved by the instructor.

Minor

The Department of Dance also offers a minor (minimum 20 credits) for students pursuing majors in other departments.

Table Dance Minor Curriculum

Code

Course Title

Cr

LAS

Prerequisite(s)

Dance Fundamentals (12 cr), select from the following:

DAB101R

Fundamentals of Classical Ballet I

6

 N

None

DAB201R

Fundamentals of Classical Ballet II

6

 N

DAB101R

DAN101R

Fundamentals of Classical Chinese Dance I

6

 N

None

DAN201R

Fundamentals of Classical Chinese Dance II

6

 N

DAB101R

Dance Electives (8 cr), select from the following:

DAN121R

Introduction to Repertoire of Dance

2

 N

None

DAN242G

History of Dance: East and West

2

Y

None

DAN104R

Chinese Folk and Ethnic Dances I

2

N

None

DAN102R

Shen Yun I

3

N

None

DAB221R

Repertory and Rehearsal I: Ballet

3

N

DAN121R

DAN221R

Repertory and Rehearsal I: Classical Chinese Dance

2

N

DAN121R

DAN132

Modern Dance

2

 N

Instructor approval

DAB312A

Choreography I: Classical Ballet

2

N

 

DAN312A

Choreography I: Classical Chinese Dance

2

N

None

DAN311A

Dance Pedagogy I

2

 N

None

LAS102

Introduction to Performing

2

N

None

*Repeatable courses [R] receive only half of the listed credits per semester, but students must complete 2 semesters to receive the full credit.                         

Major Concentration Requirements for Dance Production (20 credits)

Course CodeCourse TitleCrPrerequisitesNotes
LAS272Drawing I2  
LAS273Drawing II2LAS272 or SPD111A 
SPD212Scenic and Set Design I3LAS273 or SPD111B 
SPD213Lighting Design and Production I3SPD212 
SPD327Rending and Projection Techniques2  
SPD330Stage Management: Concepts and Practice3  
DAN350Independent Study in Dance: Production1Instructor consent 
Complete one of the following    
DAN450Research Paper4Instructor consent 
DAN451Senior Production4Instructor consent 
DAN455Advanced Dance Practicum IV4Instructor consent 

All BFA students majoring in classical Chinese dance must complete 9 credits of coursework in major or major-related electives. Table 11.8 lists courses approved to satisfy this requirement.

 Major Electives (9 Credits Required)

Course CodeCourse TitleCrPrerequisitesNotes
DAN155Dance Practicum I3Instructor consent 
DAN255Dance Practicum II3Instructor consent 
DAN355Dance Practicum III3Instructor consent 
DAN350Independent Study in Dance1-4Instructor consent 
DAN370Internship1-3Instructor consent 
LAS272Drawing I2  
LAS273Drawing II2LAS272 or SPD111A 
LAS312Chinese Calligraphy and Painting2  
MUS102AKeyboard Skills A1 Music Dept approval required
MUS102BKeyboard Skills B1MUS102AMusic Dept approval required
MUS111AWestern Music Theory A2 Music Dept approval required
MUS111BWestern Music Theory B2MUS111AMusic Dept approval required

Sample BFA graduation plans for each concentration are available at the Office of Academic Services. Students are encouraged to meet with their academic advisors for individualized graduation planning.