Online Master’s Degree in Data Science
Master of Science in Data Science
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.
Learn more about the four fastest growing jobs in the field.
About the online MS in Data Science
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:
- Analytics, Mining, and Algorithms
- Visualization and Communication
- Management and Accountability
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.
What is Data Science?
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.
What is the difference between data science and data analytics?
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.
Who should earn a Master’s Degree in Data Science?
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.
What salary can I earn with a Master’s Degree in Data Science?
According to a 2017 IBM report, data science and analytics (DSA) job openings are expected to grow by 15% by 2020, with prospects specifically for data scientists and advanced analysts growing by 28%. However, 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
Related Program
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.
Curriculum
This program is organized into four 10-week quarters per year (as opposed to the traditional two semester system) which means you can take more courses in a shorter time period. One semester credit is equivalent to 1.5 quarter credits.
You may transfer up to 9 approved credits (3 courses) into the program.
Required Core Courses | ||
DSCI 511 | Data Acquisition and Pre-Processing | 3.0 |
DSCI 521 | Data Analysis and Interpretation | 3.0 |
DSCI 631 | Applied Machine Learning for Data Science | 3.0 |
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 |
Foundational Electives (option to complete a certificate) | 6.0 | |
Choose 2 of the following: | ||
DSCI 501
|
Quantitative Foundations of Data Science | |
INFO 620
|
Information Systems Analysis and Design | |
INFO 633
|
Information Visualization | |
INFO 690
|
Understanding Users: User Experience Research Methods | |
INFO 725
|
Information Policy and Ethics | |
CS 503
|
Systems Basics | |
CS 501
|
Introduction to Programming | |
or CS 570
|
Programming Foundations | |
CS 504
|
Introduction to Software Design | |
Machine Learning for Data Science Elective (option to complete a certificate) | 6.0 | |
Choose 2 of the following: | ||
DSCI 641
|
Recommender Systems for Data Science | |
DSCI 691
|
Natural Language Processing with Deep Learning | |
CS 583
|
Introduction to Computer Vision | |
CS 613
|
Machine Learning | |
CS 614
|
Applications of Machine Learning | |
CS 615
|
Deep Learning | |
CS 630
|
Cognitive Systems | |
Big Data Analytics Elective (option to complete a certificate) | 3.0 | |
Choose 1 of the following: | ||
CS 540
|
High Performance Computing | |
CS 647
|
Distributed Systems Software | |
CS 660
|
Data Analysis at Scale | |
CT 600
|
Cloud Technology | |
CT 605
|
Cloud Security and Virtual Environments | |
INFO 623
|
Social Network Analytics | |
Data Engineering Elective | 3.0 | |
Choose 1 of the following: | ||
CS 500
|
Fundamentals of Databases | |
CS 502
|
Data Structures and Algorithms | |
CS 521
|
Data Structures and Algorithms I | |
INFO 590
|
Foundations of Data and Information | |
INFO 591
|
Data and Digital Stewardship | |
INFO 605
|
Database Management Systems | |
INFO 606
|
Advanced Database Management | |
INFO 607
|
Applied Database Technologies | |
INFO 615
|
Designing with Data | |
INFO 624
|
Information Retrieval Systems | |
INFO 646
|
Information Systems Management | |
INFO 662
|
Metadata and Resource Description | |
INFO 712
|
Information Assurance | |
SE 578
|
Security Engineering | |
General Electives | 9.0 | |
Choose 3 of the following: | ||
CT 500
|
Introduction to the Digital Environment | |
CT 610
|
Disaster Recovery, Continuity Planning and Digital Risk Assessment | |
CS 590
|
Privacy | |
CS 676
|
Parallel Programming | |
INFO 508
|
Information Innovation through Design Thinking | |
INFO 517
|
Principles of Cybersecurity | |
INFO 540
|
Perspectives on Information Systems | |
INFO 608
|
Human-Computer Interaction | |
INFO 612
|
Knowledge-based Systems | |
INFO 629
|
Applied Artificial Intelligence | |
INFO 690
|
Understanding Users: User Experience Research Methods | |
INFO 691
|
Prototyping the User Experience | |
INFO 692
|
Explainable Artificial Intelligence | |
INFO 693
|
Human–Artificial Intelligence Interaction | |
The above elective areas not used to fulfill the concentration requirement
|
||
Additional appropriate graduate level (500-899) Computer Science, Software Engineering, or Artificial Intelligence courses with subject codes CS and SE, consulting with your advisor
|
||
Up to 2 appropriate graduate-level (500-899) computing-related courses outside of Computer Science, Software Engineering, and Artificial Intelligence approved by the College
|
||
Optional Coop Experience | 0-1 | |
COOP 500
|
Career Management and Professional Development for Master's Degree Students | |
Total Credits | 45.0-46.0 |
Admissions Criteria
- A four-year bachelor's degree in any major from a regionally accredited institution in the United States or an equivalent international institution
- Those without a prior degree in Computer Science, Software Engineering, or related STEM degree plus work experience equal to Drexel's Graduate Certificate in Computer Science Foundations may have to take additional prerequisites before pursuing advanced computer science courses
- 3.0 GPA preferred in a prior completed degree, bachelors or above
Required Documents
With multiple ways to submit documents, Drexel makes it easy to complete your application. Learn more by visiting our Completing Your Application Guide.
- A completed application
- Official transcripts from all universities or colleges and other post-secondary educational institutions attended (including trade schools)
- One letter of recommendation required, two suggested (academic, professional, or both)
- Essay/Statement of Purpose
- In approximately 500 words, describe what professional goals you hope to achieve, how an advanced degree facilitates that success, and anything else you want the Admissions Review Board to know about you.
- Resume
- Additional requirements for International Students
Tuition
The tuition rate for the academic year 2024-2025 is $1438 per credit.
For the academic year 2024-2025, students enrolled in an online graduate academic program will be charged a graduate online program fee of $125 per year.
- This program is eligible for Financial Aid.
- Special tuition rates available for Drexel University Alumni, Military members, and members of our Partner Organizations
- These rates apply only to new online students and students being readmitted.
- Tuition rates are subject to increase with the start of each academic year in the fall term.
- All students must contact applyDUonline@drexel.edu within the first two weeks of the term to request tuition savings for which they qualify.
- Special rates cannot be combined. If you qualify for more than one special rate, you'll be given the one with the largest savings.
- When receiving special tuition plans with Drexel University Online, you may not combine them with other tuition benefits that may be available from Drexel University.
Academic Calendar
2024-2025 Academic Year
Term
Classes Begin
Classes End
Exams Begin
Exams End
Fall 2024
September 23, 2024
December 7, 2024
December 9, 2024
December 14, 2024
Winter 2025
January 6, 2025
March 15, 2025
March 17, 2025
March 22, 2025
Spring 2025
March 31, 2025
June 7, 2025
June 9, 2025
June 14, 2025
Summer 2025
June 23, 2025
August 30, 2024
September 2, 2025
September 6, 2025
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