Master of Science in Data Science

Enrollment

All Quarters

Course Format

Online

Total Credits

Make Data-Driven Decisions

The Master of Science in Data Science (MSDS) is an interdisciplinary field that integrates domain knowledge, statistics, and computer science to extract information to provide data-driven decisions. The program follows the Data Science Body of Knowledge of the Association for Computing Machinery (ACM). This degree prepares graduates for opportunities to work in and advance their Data Science careers. Graduates understand the data and know how it can be leveraged. They know the right tools and techniques to get the job done.

Courses focus on mastering the technical and leadership skills required to influence the way that data science is implemented and consumed in any organization. Online courses allow you to pursue the MSDS while you work.

Program Overview

The MSDS consists of the core requirements, the depth of study, a choice of courses, and the capstone. Core requirements include fundamental concepts, techniques, tools, and practices related to data science. In addition to the core courses, the Depth of Study sequence prepares students to demonstrate expertise in data science with courses such as Math and Statistics for Data Science, and Big Data Architectures and Systems.

A choice of courses allows students to expand their interests in other disciplines, such as Computer Science, Cybersecurity, or IT Management. Students can select an internship as an option. Students complete the capstone course which can be a project, research paper, thesis, poster, or a public presentation designed to demonstrate mastery.

Learning Outcomes

The Master of Science in Data Science will prepare students to:

The Master of Science in Data Science will prepare students to:

Integrate a foundational knowledge of all areas of advanced data science (General Data Science Knowledge).

Apply fundamental principles and practices of advanced data science (Data Science Principles and Practices)

Apply critical and ethical thinking to solve problems in advanced data science (Critical and Ethical Thinking).

Evaluate data to inform decisions and solve problems in advanced data science (Quantitative Literacy).

Create the ability to develop and express ideas while applying a variety of delivery models, genres, and styles (Communication).

Collaborate effectively on diverse teams to accomplish a common goal (Collaboration).

Admissions Requirement

A bachelor’s degree from an accredited university is required to enroll in this program.

A bachelor’s degree from an accredited university is required to enroll in this program. The School of Technology and Computing encourages students with a non-technical bachelor’s degree to pursue the MSDS. Preparatory courses for the degree include:

Breadth-First Preparatory Courses (6 Credits)

CS 11A Technology and Computing Components I
CS 11B Technology and Computing Components II

Depth-First Preparatory Courses (20 Credits)

CS 132 Computer Science I
CS 330 Network Communications
CS 340 Operating Systems
IS 360 Database Technologies

Requirements

Total Required Credits: 39

Pre-Entry Requirement (0 Credits)

CS 500 STC MS Orientation to Master’s Programs

Core Requirements (24 Credits)

CS 506 Programming for Computing
CS 622 Discrete Math and Algorithms for Computing
DS 510 Artificial Intelligence for Data Science
DS 515 Data Science Overview
DS 520 Data Mining
DS 522 Data Acquisition and Analytics
DS 524 Data Management and Governance
DS 620 Machine Learning and Deep Learning

Depth of Study (6 Credits)

Depth of Study: Data Science
DS 623 Math and Statistics for Data Science
DS 625 Big Data Architectures and Systems

Elective (6 Credits)

Students may select two elective courses from any other disciplines within the School of Technology & Computing or complete the internship after taking three CS 650 seminar courses for their internship preparation if necessary for their skill advancement.

Internship
DS 680 Data Science Internship (repeatable)

Capstone (3 Credits)

DS 687 Data Science Capstone

Career Opportunities

Program Manager

Brian Maeng Ph.D.

maengjooyol@cityu.edu

Data scientists are in high demand. For four years in a row, Glassdoor has picked data scientists as the number one job in the U.S. Also, the U.S. Bureau of Labor Statistics predicts the demand for data science skills contributes to a 27.9% increase in employment from 2016 to 2026. The data scientist is the sexiest job of the 21st century, according to Harvard Business Review.

MSDS prepares graduates to fill positions in multiple disciplines using the socio-technical and

Click HERE for admissions and tuition information.

Click HERE for complete program catalog.

Updated: 8/31/2023