Data Science BSDS

Degree Awarded: BS in Data Science (BSDS)
Minimum Required Credits: 120.0
Co-op Option: Three Co-op, Two Co-op, One Co-op, No Co-op
Classification of Instructional Programs (CIP) code: 30.7001
Standard Occupational Classification (SOC) code: 11-3021; 15-1221; 15-1243; 15-2041; 15-2051

About the Program

The Bachelor of Science in Data Science (BSDS) Program prepares students to meet the challenges presented by the explosive growth of very large scale and complex data sources. Data from commercial activities or sources such as social media or scientific instrumentation constantly create new problems requiring data-driven solutions, while simultaneously opening opportunities for innovation. The BSDS Program helps students develop the knowledge and skills needed to address opportunities that benefit individuals, organizations, and society. BSDS students can add a second major to complement their skills with domain knowledge ideal for interdisciplinary collaborations.

BSDS students learn to:

• Define and operationalize domain specific and context-relevant data analysis hypotheses that generate meaningful insights for individuals, organizations, and society.
• Select, transform, and integrate data sources to support the needs of data-intensive problems with solutions that scale to real-world deployment contexts.
• Implement appropriate, reproducible, and adaptable techniques for acquiring, retrieving, and developing data sets.
• Build, evaluate, and apply analytical and predictive models to answer DS questions and solve business problems.
• Visualize and interpret results of quantitative analysis and communicate them to stakeholders.
• Continuously develop new skills and improve professional abilities that integrate computing skills with quantitative analysis techniques, and domain knowledge.

Drexel’s experiential education model offers structured opportunities to integrate academic study with professional experience. The cooperative education (co-op) program allows students to engage in full-time work experiences that align with their interests in data science. Experiential learning opportunities at Drexel—like co-op—allow students to apply disciplinary skills to real-world problems that hinge on data. BSDS graduates are prepared for a wide range of professional and graduate study pathways that derive insights from quantitative analyses, engineer scalable workflows, and develop data-intensive applications. Career directions span DS roles, including data architecture and infrastructure, predictive systems development, data and machine learning engineering, data analysis, and statistics.

Additional Information

For more information about this program, please contact the School of Computer and Information Sciences 

Admission Requirements

Same as Drexel admission requirements.

Degree Requirements

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A complete list of eligible Introductory Core Competency courses can be found here.

Program Learning Outcomes

• Use data to provide quantitative insights on questions of scientific, organizational, and social interest.
• Collaborate, communicate, and function effectively on data science projects in multidisciplinary teams.
• Apply knowledge of Data Science (DS) fundamentals to analyze and solve complex problems.
• Identify, formulate, and design efficient and effective solutions using appropriate DS processes and paradigms.
• Design, implement, test, and maintain different DS components, systems, or programs to meet desired needs.
• Identify, formulate, and solve DS problems with the techniques, skills, and modern DS tools necessary in practice for application domains.