Master of Science in Data Science
- Seattle, USA
- USA Online, USA
MSc
DURATION
2 years
LANGUAGES
English
PACE
Full time, Part time
APPLICATION DEADLINE
EARLIEST START DATE
STUDY FORMAT
Distance Learning, On-Campus
* application deadline for domestic students
Key Summary
Become a Leader in Data Science
The Master of Science in Data Science (MSDS) is an inherently interdisciplinary field that requires effective integration of a domain to provide data and a context for its exploration, statistics, and computer science.
Data science professionals are in high demand in nearly every field, from global businesses like Amazon to sectors like healthcare and government security. According to Glassdoor, data scientists and data engineers are two of the best jobs in the U.S., based on salary, job openings, and job satisfaction. With the hands-on experience and internship options our MSDS program provides, you are prepared for a myriad of opportunities to work in and advance your data science career.
Courses focus on data acquisition, data management, data mining, data governance, data analytics, artificial intelligence, machine learning, deep learning, programming for computing, big data systems, and mathematics and statistics needed to deliver data science projects. You will also maintain the professional skills required to advance in the data science field.
This program will provide you with the experience and leadership identity required to influence the way that data science is implemented and consumed in any corporation or government organization.
Program Overview
The Master of Science in Data Science program is designed around the Body of Knowledge set forth by the Association for Computing Machinery (ACM), which ensures students will be able to understand their data and know what they can expect to learn from the data. They will also be able to select the right tools and techniques to get the job done.
The Depth of Study (DOS) sequence prepares students to demonstrate expertise in a specific area. The Choice courses allow students to expand their interests in other disciplines. The internship provides students a vehicle to apply what they have learned in the degree to real-world problems at a for-profit or nonprofit organization.
The capstone is the platform that exhibits the synthesis of the student’s academic accomplishments and experiential internship learnings. Under the guidance of an advisor, the capstone can be a project, research paper, thesis, or poster, and includes a public presentation designed to demonstrate mastery.
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)
Total Required Credits (39-59 Credits*)
Preparatory Courses (6 or 20 Credits)
*Preparatory courses may be required for students entering the MSDS degree program without sufficient related experience in programming, SQL/NO SQL databases, networking, and operating systems. The breadth-first preparatory courses are recommended for students who want to study a broad spectrum of all topics within 1 quarter. The depth-first preparatory courses are recommended for students who want to study each topic in depth. Please see the program admissions criteria in the City University of Seattle catalog for specific information.
Breadth-First Preparatory Courses (6 Credits)
- CS 11A Technology & Computing Components I (3)
- CS 11B Technology & Computing Components II (3)
Depth-First Preparatory Courses (20 Credits)
- CS 132 Computer Science I (5) - OR - IS 201 Fundamentals of Computing (5)
- CS 330 Network Communications (5)
- CS 340 Operating Systems (5)
- IS 360 Database Technologies (5)
Pre-Entry Requirement (0 Credit)
Students must take this course in the first quarter of enrollment. Students may take another program requirement concurrently.
- CS 500 STC MS Orientation to Master's Programs (0)
Core Requirements (24 Credits)
- DS 510 Artificial Intelligence for Data Science (3)
- DS 515 Data Science Overview (3)
- DS 520 Data Mining (3)
- DS 522 Data Acquisition and Analytics (3)
- DS 524 Data Management and Governance (3)
- DS 620 Machine Learning & Deep Learning (3)
- CS 506 Programming for Computing (3)
- CS 622 Discrete Math and Algorithms for Computing (3)
Depth of Study: Data Science (6 Credits)
- DS 623 Math & Statistics for Data Science (3)
- DS 625 Big Data Architectures and Systems (3)
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.
Seminar
Students can take three CS 650 seminar courses after taking 6 credit hours and before taking either DS 680 Data Science Internship or DS 687 Data Science Capstone. Each enrollment must be pre-approved by the Program Manager.
- CS 650A Master's Seminar I in Special Technology (1)
- CS 650B Master's Seminar II in Special Technology (1)
- CS 650C Master's Seminar III in Special Technology (1)
Internship
This internship is repeatable for credit. Each enrollment must be pre-approved by the Program Manager.
- DS 680 Data Science Internship (3)
Capstone (3 Credits)
- DS 687 Data Science Capstone (3)
The Master of Science in Data Science program will prepare you for a career in the growing field of data science, including:
- Data scientist
- Business intelligence developer
- Statistician
- Computer systems analyst
- Data manager
- Machine learning engineer
- Software Developer
- Data Engineer
- Applications architect
- Database administrator
- Computer network analyst
- Data analyst
Networking Opportunities
At CityU, you’ll have the opportunity to expand your professional network by connecting with faculty working in your field, students from around the globe, and alumni employed at Seattle’s top companies. Plus, you’ll be part of a supportive community that’s dedicated to helping you reach your career goals.