Stand out in one of the fastest growing fields in today’s job market with Drexel University’s online Master’s degree in Data Science. In this program, you’ll focus on helping your company solve problems by creating machine learning algorithms to examine and manipulate data. The interdisciplinary curriculum ensures you’ll be prepared with the wide-ranging skills you need on the job, so you’ll emerge workplace-ready and experienced with the relevant industry technology. Apply the skills you learn across a variety of fields, from banking to healthcare and everything in between.
Drexel’s online data science master’s is a compilation of computer science and information systems. Throughout your courses, you’ll learn to manipulate and summarize data; dig deeper into data and text mining; determine trends; and craft your findings into a story that can be clearly communicated to your organization.
In addition to your core classes, you have the option of choosing between three elective tracks:
The program culminates with a capstone project.
The online MS in Data Science is housed in Drexel’s College of Computing and Informatics (CCI). Drexel’s CCI is a founder and leading institution in the National Science Foundation’s primary big data Industry University Cooperative Research Center (IUCRC), the Center for Visualization and Decision Informatics. In addition to learning from CCI faculty, you’ll have the opportunity to take classes throughout Drexel’s colleges, making it a truly interdisciplinary degree.
Businesses are becoming increasingly reliant on professionals who can make sense of the mass amounts of data they acquire every day. For data scientists, the key to this is tool creation: creating new processes, algorithms and products that can mine and analyze that data to help their companies make strategic decisions. Along with using machine learning and coding to problem solve, data scientists rely on their math, technology and business skills to effectively extract meaning from data.
Though many use the terms interchangeably, there is a big difference between data science and data analytics. Data analysts do what their name implies: they analyze large amounts of data to try and find patterns that can inform their organizations’ future decisions. Data scientists, on the other hand, are much more focused on technology. They design, develop and use tools to help in sifting through data, then present their findings to help their organizations make strategic decisions.
It’s a common misconception that data science degrees are only for people with a technology background. In fact, anyone with good quantitative abilities can pursue a data science degree. Drexel’s online master’s degree in data science is designed for working professionals who are interested in building on their existing skills to become leaders in the data science field. The program aims to make you workplace-ready by combining foundation knowledge, applied training and computational problem-solving to help you excel in the field.
Data science and analytics (DSA) jobs remain some of the hardest positions to fill, staying on the market almost a week longer than the average posting. The reason? There’s a shortage of professionals with the education and experience needed to fill key roles, with 39% of data scientist and advanced analyst roles requiring a graduate-level degree.
Job Title
Salary*
Data Scientist
$129,000
Computer and Information Research Scientist
$133,750
Computer Systems Analyst
$111,350
Market Research Analyst
$87,550
Operations Research Analyst
$89,300
*Data from Wanted Analytics
Drexel University offers a variety of Graduate Minors that can be added to any master's degree program.
State restrictions may apply to some programs.
| Required Certificates | ||
| Data Science Foundations | ||
| DSCI 511 | Data Acquisition and Pre-Processing | 3.0 |
| DSCI 521 | Data Analysis and Interpretation | 3.0 |
| Choose 2 courses from the following: | 6.0 | |
|
CS 570
|
Programming Foundations | |
|
or CS 501
|
Introduction to Programming | |
|
CS 502
|
Data Structures and Algorithms | |
|
CS 503
|
Systems Basics | |
|
CS 504
|
Introduction to Software Design | |
|
DSCI 501
|
Quantitative Foundations of Data Science | |
|
INFO 590
|
Foundations of Data and Information | |
|
INFO 605
|
Database Management Systems | |
|
INFO 620
|
Information Systems Analysis and Design | |
|
INFO 633
|
Information Visualization | |
|
INFO 659
|
Introduction to Data Analytics | |
|
INFO 725
|
Information Policy and Ethics | |
| Machine Learning for Data Science | ||
| DSCI 631 | Applied Machine Learning for Data Science | 3.0 |
| DSCI 641 | Recommender Systems for Data Science | 3.0 |
| Choose 2 of the following: | 6.0 | |
|
CS 570
|
Programming Foundations | |
|
or CS 501
|
Introduction to Programming | |
|
CS 502
|
Data Structures and Algorithms | |
|
CS 583
|
Introduction to Computer Vision | |
|
CS 613
|
Machine Learning | |
|
CS 614
|
Applications of Machine Learning | |
|
CS 615
|
Deep Learning | |
|
DSCI 501
|
Quantitative Foundations of Data Science | |
|
DSCI 521
|
Data Analysis and Interpretation | |
|
DSCI 691
|
Natural Language Processing with Deep Learning | |
|
INFO 623
|
Social Network Analytics | |
| Required Core Course | ||
| DSCI 632 | Applied Cloud Computing | 3.0 |
| Required Capstone Courses | ||
| DSCI 591 | Data Science Capstone I | 3.0 |
| DSCI 592 | Data Science Capstone II | 3.0 |
| Electives or Optional Third Certificate | 12.0 | |
| Students can choose any combination of any courses listed below for a total of 45.0 credits (12.0 credits beyond the required 33.0 credits). If a student chooses all courses listed in a single area, they may apply for a graduate certificate in that area. A degree student may receive a maximum of three certificates. | ||
| Students can apply for a third (optional) certificate such as Big Data Analytics PBC, HCI/UX Research and Design PBC, and Applied AI/ML PBC. | ||
| A course cannot be used to satisfy multiple parts of the degree requirements. | ||
| Big Data Analytics (optional 3rd certificate) | ||
|
DSCI 632
|
Applied Cloud Computing | |
|
INFO 623
|
Social Network Analytics | |
| Choose 2 of the following: | ||
|
CS 570
|
Programming Foundations | |
|
or CS 501
|
Introduction to Programming | |
|
CS 502
|
Data Structures and Algorithms | |
|
CS 540
|
High Performance Computing | |
|
CS 615
|
Deep Learning | |
|
CS 647
|
Distributed Systems Software | |
|
CS 660
|
Data Analysis at Scale | |
|
CT 500
|
Introduction to the Digital Environment | |
|
CT 600
|
Cloud Technology | |
|
CT 605
|
Cloud Security and Virtual Environments | |
|
DSCI 501
|
Quantitative Foundations of Data Science | |
|
DSCI 521
|
Data Analysis and Interpretation | |
|
DSCI 691
|
Natural Language Processing with Deep Learning | |
|
INFO 605
|
Database Management Systems | |
|
INFO 607
|
Applied Database Technologies | |
| Applied AI/ML (optional 3rd certificate) | ||
|
CS 501
|
Introduction to Programming | |
|
or CS 570
|
Programming Foundations | |
|
CS 614
|
Applications of Machine Learning | |
|
INFO 629
|
Applied Artificial Intelligence | |
| Choose 1 of the following: | ||
|
CS 502
|
Data Structures and Algorithms | |
|
CS 503
|
Systems Basics | |
|
DSCI 501
|
Quantitative Foundations of Data Science | |
|
DSCI 511
|
Data Acquisition and Pre-Processing | |
|
DSCI 521
|
Data Analysis and Interpretation | |
|
DSCI 631
|
Applied Machine Learning for Data Science | |
|
INFO 612
|
Knowledge-based Systems | |
|
INFO 692
|
Explainable Artificial Intelligence | |
|
INFO 693
|
Human–Artificial Intelligence Interaction | |
| HCI/UX Research and Design (optional 3rd certificate) | ||
|
INFO 508
|
Information Innovation through Design Thinking | |
|
or DSRE 620
|
Design Problem Solving | |
|
INFO 615
|
Designing with Data | |
|
INFO 690
|
Understanding Users: User Experience Research Methods | |
|
INFO 691
|
Prototyping the User Experience | |
| Additional appropriate graduate level (500-899) Data Science (DSCI), Information Systems (INFO), Computer Science (CS), Software Engineering (SE), or Artificial Intelligence, consulting with your advisor. | ||
| Total Credits | 45.0 | |
With multiple ways to submit documents, Drexel makes it easy to complete your application. Learn more by visiting our Completing Your Application Guide.
For the academic year 2025-2026, students enrolled in an online graduate academic program will be charged a graduate online program fee of $125 per year.
2025-2026 Academic Year
Term
Classes Begin
Classes End
Exams Begin
Exams End
Fall 2025
September 22, 2025
December 6, 2025
December 8, 2025
December 13, 2025
Winter 2026
January 5, 2026
March 14, 2026
March 16, 2026
March 21, 2026
Spring 2026
March 30, 2026
June 6, 2026
June 8, 2026
June 13, 2026
Summer 2026
June 22, 2026
August 29, 2026
August 31, 2026
September 5, 2026