Data Science

Major: Data Science
Degree Awarded: Master of Science in Data Science (MSDS)
Calendar Type: Quarter
Total Credit Hours: 45.0
Co-op Option: None
Classification of Instructional Programs (CIP) code: 11.0199
Standard Occupational Classification (SOC) code: 15-1111

About the Program

The aim of the Master of Science in Data Science program is to provide a strong foundation in the emerging area of data science, with foci on data management and accountability, visualization and communication, and computational, algorithmic and applied processing techniques. Students will gain competency in fundamental methods and techniques for data collection, management, analysis, and result interpretation. Their fundamental understanding will be applied to real data sets and data analysis tasks, with the help of state- of-the-art technologies, tools and platforms.

Admission Requirements

The Masters of Science in Data Science accepts applicants who hold a Bachelor degree from an accredited university. Please visit the College of Computing & Informatics' website for more information on admissions requirements. 

Additional Information

For more information, please visit the College of Computing & Informatics' (CCI) website and/or contact the following CCI faculty:

Degree Requirements

Required Core Courses
DSCI 511Data Acquisition and Pre-Processing3.0
DSCI 521Data Analysis and Interpretation3.0
DSCI 591Data Science Capstone I3.0
DSCI 592Data Science Capstone II3.0
Analytics, Mining, and Algorithms Electives9.0
Choose 3 of the following:
Introduction to Artificial Intelligence
Computer Science Foundations
Data Structures and Algorithms I
High Performance Computing
Programming Foundations
Advanced Programming Techniques
Introduction to Computer Vision
Machine Learning
Deep Learning
Data Analysis at Scale
Parallel Programming
Social Network Analytics
Information Retrieval Systems
Data Mining
Introduction to Data Analytics
Visualization and Communication Electives9.0
Choose 3 of the following:
Developing User Interfaces
Interactive Computer Graphics
Cognitive Systems
Human-Computer Interaction
Analysis of Interactive Systems
Design of Interactive Systems
Information Visualization
Healthcare Informatics
Information Ethics
Management and Accountability Electives9.0
Choose 3 of the following:
Fundamentals of Databases
Privacy
Responsible Data Analysis
Organization of Data and Information
Data and Digital Stewardship
Database Management Systems
Advanced Database Management
Applied Database Technologies
Information Assurance
Security Engineering
Additional Electives6.0
Choose 2 courses from the above elective areas not used to fulfill the concentration requirement
Total Credits45.0

Sample Plan of Study

Term 1Credits
DSCI 511Data Acquisition and Pre-Processing3.0
DSCI 521Data Analysis and Interpretation3.0
 Term Credits6.0
Term 2
Analytics, Mining and Algorithms Elective3.0
Management and Accountability Elective3.0
 Term Credits6.0
Term 3
Analytics, Mining and Algorithms Elective3.0
Visualization and Communication Elective3.0
 Term Credits6.0
Term 4
Analytics, Mining and Algorithms Elective3.0
Visualization and Communication Elective3.0
Management and Accountability Elective3.0
 Term Credits9.0
Term 5
DSCI 591Data Science Capstone I3.0
Visualization and Communication Elective3.0
Elective3.0
 Term Credits9.0
Term 6
DSCI 592Data Science Capstone II3.0
Management and Accountability Elective3.0
Elective3.0
 Term Credits9.0
Total Credit: 45.0

Facilities

Drexel University Libraries

Drexel University Libraries is a learning enterprise, advancing the University’s academic mission through serving as educators, supporting education and research, collaborating with researchers, and fostering intentional learning outside of the classroom. Drexel University Libraries engages with Drexel communities through four physical locations, including W. W. Hagerty Library, Hahnemann Library, Queen Lane Library and the Library Learning Terrace, as well as a vibrant online presence which sees, on average, over 8,000 visits per day. In the W.W. Hagerty Library location, College of Computing & Informatics students have access to private study rooms and nearly half a million books, periodicals, DVDs, videos and University Archives. All fields of inquiry are covered, including: library and information science, computer science, software engineering, health informatics, information systems, and computing technology. Resources are available online at library.drexel.edu or in-person at W. W. Hagerty Library.

The Libraries also make available laptop and desktop PC and Mac computers, printers and scanners, spaces for quiet work or group projects and designated 24/7 spaces. Librarians and library staff—including a liaison librarian for computing and informatics—are available for individual research consultations and to answer questions about materials or services.

iCommons

Located in Room 106 of the Rush Building, the College’s iCommons is an open lab and collaborative work environment for students. It features desktop computers, a wireless/laptop area, free black and white printing, more collaborative space for its students and a furnished common area. There is a fully equipped conference room for student use with a 42” display and videoconferencing capabilities. The iCommons provides technical support to students, faculty, and administrative staff. In addition, the staff provides audio-visual support for all presentation classrooms within the Rush Building. Use of the iCommons is reserved for all students taking CCI courses.

The computers for general use are Microsoft Windows and Macintosh OSX machines with appropriate applications which include the Microsoft Office suite, various database management systems, modeling tools, and statistical analysis software. Library related resources may be accessed at the iCommons and through the W.W. Hagerty Library. The College is a member of the Rational SEED Program which provides cutting-edge software development and project management software for usage in the iCommons and CCI classrooms. The College is also a member of the Microsoft Academic Alliance known also as “DreamSpark” that allows students free access to a wide array of Microsoft software titles and operating systems.

The iCommons, student labs, and classrooms have access to networked databases, print and file resources within the College, and the Internet via the University’s network. Email accounts, Internet and BannerWeb access are available through the Office of Information Resources and Technology.

Rush Building

The Rush Building houses classrooms, CCI administrative offices (academic advising, graduate admissions, faculty, etc.) and the iCommons computer lab (open to all CCI students). The building holds 6 classrooms equipped for audio-visual presentation. These rooms typically contain a networked PC, HD video player, ceiling mounted projectors, and other equipment for presentations and demonstrations. Four of these classrooms are fully equipped to function as laptop computing labs for networking, programming and database-related projects.

The Information Technology Laboratory, located in the Rush Building, consists of enterprise class information technology hardware that students would encounter in industry positions. The hardware includes 20 high powered workstations that are available to students and specialized networking lab simulation software. The hardware is networked and reconfigurable utilizing multiple virtual technologies as needed for the various classes the laboratory supports. In addition, a special system has been built into to the classroom to allow for conversion into a standard laptop computing lab utilizing motorized monitor lifts that allow the monitors and keyboards to recess into the desk.

University Crossings - Cyber Learning Center and Computer Lab

CCI also has classrooms, administrative office and faculty offices located in University Crossings, located at the corner of JFK Blvd. and Market Street. The building houses the Cyber Learning Center, a student computer lab, as well as several classrooms with video-conference enabled technology and media projection capabilities.

The Cyber Learning Center (CLC) provides consulting and other learning resources for students taking computer science classes. The CLC is staffed by graduate and undergraduate computer science students from the College of Computing & Informatics.

Both the CLC and UC Lab now serve as a central hub for small group work, student meetings, and TA assistance. The UC Lab is organized with desk space around the perimeter of the lab for individual or partner/pair-programmed student work, as well as with clusters of tables which can be connected as needed into pods to create workspaces for larger groups.

Research Laboratories

The College houses multiple research labs, led by CCI faculty, across Drexel’s main campus including: the Auerbach and Berger Families Cybersecurity Laboratory, Drexel Health and Risk Communication Lab, Socio-Technical Studies Group, Intelligent Information & Knowledge Computing Research Lab, Evidence-based Decision Making Lab, Applied Symbolic Computation Laboratory (ASYM), Geometric and Intelligent Computing Laboratory (GICL), High Performance Computing Laboratory (SPIRAL), Privacy, Security and Automation Laboratory (PSAL), Drexel Research on Play (RePlay) Laboratory, Software Engineering Research Group (SERG), Vision and Cognition Laboratory (VisCog) and the Vision and Graphics Laboratory. For more information on these laboratories, please visit the College’s research web page.

Alumni Garden

The Rush Building’s Alumni Garden provides additional collaborative space for students, faculty, professional staff and alumni. The Garden features wireless networking, tables with built-in power outlets, accessible covered patio and balconies and a bicycle rack. The Alumni Garden may be reserved for Drexel events.

3401 Market Street

3401 Market Street houses faculty offices and doctoral student workspaces. It also is home to College research groups such and University initiatives such as the Isaac L. Auerbach Cybersecurity Institute. The Institute’s Auerbach and Berger Families Cybersecurity Laboratory serves as University’s first training facility dedicated to identifying challenges and discovering solutions in the areas of cyber infrastructure protection and incident response.

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