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.
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.
Computer and Information Research Scientist
Computer Systems Analyst
Market Research Analyst
Operations Research Analyst
*Data from Wanted Analytics
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.
|DSCI 501||Data Science I||3.0|
|DSCI 502||Data Science II||3.0|
|DSCI 591||Capstone I-II||6.0|
|Select three courses from each concentration area. Two additional courses may be chosen from any concentration as free electives.|
|Analytics, Mining, and Algorithms Concentration|
|INFO 624||Information Retrieval Systems|
|INFO 634||Data Mining|
|INFO 659||Introduction to Data Analytics|
|INFO xxx||Social Network Analytics|
|CS 510||Artificial Intelligence|
|CS 520||Computer Science Foundations|
|CS 540||High Performance Computing|
|CS 570||Programming Foundations|
|CS 571||Advanced Programming Techniques|
|CS 613||Machine Learning|
|CS 676||Parallel Programming|
|CS xxx||Deep Learning|
|CS xxx||Data Analysis at Scale|
|Visualization and Communication Concentration|
|INFO 608||Introduction to Database Management|
|INFO 610||Human-Computer Interaction|
|INFO 611||Information Systems Analysis and Design|
|INFO 633||Requirements Engineering and Management|
|INFO 648||Software Project Management|
|INFO 679||Information Systems Management|
|CS 530||Introduction to Database Management|
|CS 537||Human-Computer Interaction|
|CS 583||Information Systems Analysis and Design|
|CS 630||Requirements Engineering and Management|
|Management and Accountability Concentration|
|INFO 590||Organization of Data and Information|
|INFO 591||Data and Digital Stewardship|
|INFO 605||Introduction to Database Management|
|INFO 606||Advanced Database Management|
|INFO 607||Applied Database Technologies|
|INFO 712||Information Assurance|
|CS 500||Fundamentals of Databases|
|CS 578||Security Engineering|
|CS 6xx||Responsible Data Analysis|
*Courses still in development
- 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 Math (plus programming) may have to take additional prerequisites before pursuing advanced computer science courses
- 3.0 GPA in a prior completed degree, bachelors or above
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, 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.
- Additional requirements for International Students
The tuition rate for the academic year 2018-2019 is $1265 per credit.
- 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.
2017-2018 Academic Year
September 25, 2017
December 9, 2017
December 11, 2017
December 16, 2017
January 8, 2018
March 17, 2018
March 19, 2018
March 24, 2018
April 2, 2018
June 9, 2018
June 11, 2018
June 15, 2018
June 25, 2018
September 1, 2018
September 4, 2018
September 8, 2018
2018-2019 Academic Year
September 24, 2018
December 8, 2018
December 10, 2018
December 15, 2018
January 7, 2019
March 16, 2019
March 18, 2019
March 23, 2019
April 1, 2019
June 8, 2019
June 10, 2019
June 14, 2019
June 24, 2019
August 31, 2019
September 3, 2019
September 7, 2019