Master of Science in Data Science

The Department of Data Science at FTC Middletown currently offers an undergraduate Bachelor of Science in Data Science program. It seeks to further its academic offerings with more advanced level courses in data science and provide students and faculty with the opportunity to conduct academic research. A Master’s program in Data Science allows us to achieve this.

 

The master program is designed to provide a continuation of advanced topics in data science beyond the undergraduate curriculum. The program is intended for students who wish to obtain a systematic training in Data Science at an advanced level. It is also well suited for working professionals in the field who wish to engage in more in-depth study of data science.

Program Purpose

The Master of Science in Data Science program seeks to equip students with advanced theories and methods of data science, with the ability to apply their knowledge and methods to solve practical problems.

Program Objectives

  1. To enable students to develop in-depth understanding of the key theories and technologies in data science, including, but not limited to statistical theory and methods, data mining, machine learning, visualization techniques, and predictive modeling.
  2. To enable students to gain fluency in statistical programming languages and big data tools through coursework, projects, and applied research.
  3. To equip students with the ability and professionalism to carry out problem analysis, solution finding and decision-making in the real world.

Curriculum Overview

The MS in Data Science is a 31-semester credit curriculum with three major components: core requirements, electives, and a capstone project.

Curriculum Structure for MS in Data Science

AreaCredits
Core Requirements 15
 Statistical Methods 6
 Data Management and Visualization3
 Machine Learning6
Electives12
Capstone Project 4
Total Required Credits for Graduation 31

Program Requirements (31 Credits)

The program requirements are comprised of statistics, data analytical tools, electives, and a capstone project.

Required Courses for MS in Data Science

Code

Course Title

Cr

Prerequisite(s)

Core Requirements (15 cr)

15

 

STA401

Regression Analysis

3

None

DAS422

Exploratory Data Analysis and Visualization

3

None

STA411

Statistical Inference

3

None

CIS431

Modern Applied Statistical Learning

3

None

DAS441

Data Mining for Business

3

None

Electives (12 cr, Select four courses from the following)

12

 

CIS543

Computer Vision and Natural Language Processing

3

CIS536

CIS441

Cloud Computing and Big Data

3

None

DAS421

Sample Survey and Customer Analytics

3

None

CIS536

Applied Machine Learning

3

CIS431

STA421

Design and Analysis of Experiments and Quality Control

3

None

STA441

Survival Analysis

3

STA411

STA531

Multivariate Analysis

3

STA411

STA535

Bayesian Analysis

3

STA411

STA545

Nonparametric Statistics

3

STA411

Capstone

4

 

DAS561

Capstone Project

4

Dept. Approval

Total Credits Required for Graduation 

31

 

Graduation Requirements

The academic requirements for graduation are the successful completion of the curriculum with a grade point average of no less than 3.0. In addition, a graduate must have taken at least 50% of all courses from FTC Middletown.