Academics Overview

BS in Artificial Intelligence & Machine Learning

Learn: With the Bachelor of Science in Artificial Intelligence & Machine Learning (BSAIML) program, you will graduate with a strong foundation in the concepts and theory of this discipline as well as the know-how to create and support large-scale deployments and practical applications. Simply put, you will learn how to build and use AI tools, applications, and systems.

Customize: Shape the program to your goals by tailoring your study of AI and machine learning to specific focus areas (e.g., theory, data analytics, hardware, and/or practical applications). You can further customize the degree by adding a minor from the many choices in the College of Engineering and Computing and/or the hundreds of minors across the university.

Experience: Real-world experiences, such as co-ops, our annual hackathon, and a full-year team capstone project, will allow you to build solutions for business and society problems and develop professional relationships.

Go: Graduates of the BSAIML program are in high demand in a vast array of industries where knowledge of AI and machine learning is critical for success. 

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BS in Computer Science

Learn: Through the Bachelor of Science in Computer Science (BSCS) program, you will graduate with extensive exposure and hands-on practice in the core areas of the field, including varied approaches to program construction, algorithms, systems, networking, and software engineering. You will learn how computers actually work from the ground up.

Customize: Providing you with a strong foundation in applied mathematics and sciences courses, the program also gives you flexibility to sample other areas where you could apply your computing knowledge. You can customize the degree by adding a minor from the many choices in the College of Engineering and Computing and/or the hundreds of minors across the university.

Experience: This hands-on curriculum combined with co-op provides you real-world experience that culminates in a full-year capstone project, giving you the chance to collaborate with a team, learn from industry experts and sharpen everything you’ve learned in producing a professional-level project.

Go: SCIS has designed the computer science program with the versatility to prepare you for careers in a rapidly changing profession and to allow strong preparation for graduate education in the field. Computer Science graduates are in demand in any discipline where computing expertise is needed, from the computing industry to science and technical applications to the arts.

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BS in Computing Security and Technology

Learn: In the Bachelor of Science in Computing Security and Technology  (BSCST) program, you will gain experience with core information technology (IT) areas including servers, databases, networks, the Web, virtualization, cloud computing, information security, and cybersecurity technologies. The program emphasizes practical education and fundamental concepts, supplemented by hands-on laboratory experiences. Core courses provide you with practical knowledge and skills related to managing servers, network administration, database administration, cloud computing, and cybersecurity fundamentals.

Customize: You will take advanced electives that focus on Computing Technology and Computing Security. The advanced Computing Technology courses include topics such as wireless networks, database administration, project management, cloud computing, disaster recovery, and continuity of business. The advanced Computing Security courses include topics such as network security, risk assessment, intrusion detection, security audits, applied cryptography, computer forensics, ethical hacking, and cloud security.

Experience: This hands-on curriculum combined with real-world experiences, such as co-ops, our annual hackathon, and a full-year team capstone project, will allow you to sharpen the skills you’ll use in real jobs.

Go: The Bachelor of Science in Computing and Security Technology prepares you for work related to securing and managing large-scale computing infrastructure. The BSCST program prepares you for careers both in information technology and cybersecurity by covering fundamental concepts along with hands-on skill sets. Additionally, this program can be a gateway to many post-graduate programs in technical fields and cybersecurity.

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BS in Data Science

Learn: The Bachelor of Science in Data Science (BSDS) program helps you develop the knowledge and skills needed to address opportunities that benefit individuals, organizations, and society. 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.

Customize: In the BSDS program, you can add other areas of study to complement your skills with domain knowledge ideal for interdisciplinary collaborations. You can further customize the degree by adding a minor from the many choices in the College of Engineering and Computing and/or the hundreds of minors across the university.

Experience: Drexel’s experiential education model offers structured opportunities to integrate academic study with professional experience. The cooperative education (co-op) program allows you to engage in full-time work experiences that align with your interests in data science. Experiential learning opportunities at Drexel—like co-op— will allow you to sharpen the skills you’ll use in real jobs that hinge on data.

Go: As a BSDS graduate, you will be 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.

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BS in Software Engineering

Learn: In the Bachelor of Science in Software Engineering (BSSE) program, an AI-enhanced curriculum will show you how to meet the demands of the modern software industry. You will design programs and systems while developing core competencies in domain modeling, architectural and design decision-making, trade-off analysis, software quality assurance, continuous delivery, and system monitoring. Leveraging AI-assisted code and test-case generation, you will learn to build industrial-grade software systems with both high productivity and high quality.

Customize: You can customize the degree by adding a minor from the many choices in the College of Engineering and Computing and/or the hundreds of minors across the university.

Experience: This hands-on curriculum combined with real-world experiences, such as co-ops, our annual hackathon, and a full-year team capstone project, will allow you to sharpen the skills you’ll use in real jobs.

Go: The program prepares you with the knowledge and skills essential for software designers and architects, roles that rely on human creativity, judgment, and insight, capabilities that remain beyond AI automation. You will be equipped to excel in an era where human insight, rigorous design practices, and AI-enhanced development tools must operate in close coordination.

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BS in Economics and Data Science

A Joint Program with Drexel's LeBow College of Business

Learn: In the Bachelor of Science in Economics and Data Science program, you will learn to manage, manipulate, and parse data to extract knowledge and insight. You will see how the design of platforms shapes incentives, drives behavior, and determines social and economic outcomes, learning from subject matter experts in the School of Economics in LeBow's College of Business and the School of Computer and Information Sciences (SCIS).

Customize: Shape the program to your goals with your elective selections. You can further customize the degree by adding a minor from the many choices in the College of Engineering and Computing and/or the hundreds of minors across the university. 

Experience: Real-world experiences, such as co-ops, our annual hackathon and a capstone project, will allow you to build solutions for business and society problems and develop professional relationships. 

Go: You will receive excellent training for careers in the digital economy, including areas such as insurance, consulting, finance, retailing, and government. You will also be prepared for graduate study in business, data science, public health, economics, or other social sciences.

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Minor in Artificial Intelligence & Machine Learning

This minor explores the foundation and application of Artificial Intelligence and Machine Learning (AIML). SCIS has designed it to provide you with a deep understanding of the underlying mathematics and algorithms used in AI, covering topics across computer science, engineering, mathematics, and data science. The AIML minor is available to all University students in good standing, with the exception of students majoring in AIML and students minoring in Computer Science (CS) or Software Engineering (SE).

Minor in Computer Science

The Computer Science (CS) minor provides you with a deep understanding of the areas that form the foundation of computer science. Students can customize the minor by selecting courses from a list of advanced computer science courses. The CS minor is available to all University students in good standing, with the exception of students majoring in Computer Science and students minoring in Software Engineering (SE) or Artificial Intelligence and Machine Learning (AIML).

Minor in Computing Technology

Any student in any major can benefit from a minor in Computing Technology. The demand for individuals with technology skills is essential in today's society. People in all fields may become responsible for building or using computer networks and increasingly more complex websites, cloud computing environments, and intranets. The minor in Computing Technology provides you with a deep understanding of the areas in computing technology required to help organizations build infrastructure solutions. The minor is available to all University students in good standing, with the exception of students majoring in Computing and Security Technology.

Minor in Data Science

Data science provides you with foundation for problem-solving in a data-driven society. The minor in Data Science combines basic courses in statistics, information and technology, and social contexts to address problems that require large and disparate datasets. Any student in any major can benefit from a minor in data science. Graduates with such background knowledge are prepared to actively participate in the application of data science within their major area of study. The minor is available to all University students in good standing, with the exception of students majoring in Data Science.

Minor in Information

The Information (INFO) minor prepares you to understand, evaluate, and design information environments at the intersection of People, Information, and Technology (PIT). The INFO minor is available to all University students in good standing, with the exception of students majoring in Information.

Minor in Software Engineering

The minor in Software Engineering (SE) offers an AI-enhanced curriculum designed to meet the demands of the modern software industry. The program provides you with the knowledge and skills essential for software designers and architects, roles that rely on human creativity, judgment, and insight, capabilities that remain beyond AI automation.  The SE minor is available to all University students in good standing, with the exception of students majoring in Software Engineering and students minoring in Computer Science (CS) or Artificial Intelligence and Machine Learning (AIML).

Minor in Security Technology

Any student in any major can benefit from a minor in Security Technology. The demand for individuals with security-related skills is increasing and essential in today's society. Computer and information systems managers are becoming more involved with the security of data, responsible for sophisticated and more efficient computer networks, and increasingly more complex websites and intranets. The minor in Security Technology provides you with a deep understanding of the areas in security and technology required to help organizations keep their computer systems secure. The minor is available to all University students in good standing, with the exception of students majoring in Computing and Security Technology.

MS in Artificial Intelligence and Machine Learning

The Master of Science in Artificial Intelligence and Machine Learning (MSAIML) provides you with a strong foundation in the artificial intelligence and machine learning fields, with a focus on the mathematical foundations, algorithms, tools, and applications pertaining to artificial intelligence and machine learning. You will graduate as an expert in the fundamental methods and techniques of artificial intelligence and machine learning. You will apply a practiced understanding to real data sets and data analysis tasks with the help of state-of-the-art technologies, tools and platforms.

The MSAIML culminates with a capstone experience where you work on a real-world or research problem using the knowledge you have gained throughout the program. A graduate co-op is available; for more information, visit the Steinbright Career Development Center.

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MS in Computer Science

SCIS has designed the Master of Science in Computer Science program to provide you with an essential cross-section of understanding in the core topics of computer science, in-depth advanced material, and a range of topics in the research areas of the faculty. A balance of theory and practice is presented, preparing you to perform academic and industrial research, as well as equipping you to become a practicing computer scientist or software engineer in industry or government. The program provides room for electives outside of computer science in areas aligned with your personal or professional interests. In addition, an integrated pathway exists for you if you do not have a significant computing background.

A thesis option and independent study or other research opportunities are also available to prepare you for doctoral studies or other research-oriented career paths. A graduate co-op is available; for more information, visit the Steinbright Career Development Center.

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MS in Data Science

SCIS has designed the Master of Science in Data Science (MSDS) program for students with strong undergraduate grades and technical skills coming from diverse disciplinary backgrounds, and it prepares you to meet the challenges presented by the explosive growth of 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 MSDS program helps you develop the knowledge and skills needed to address these opportunities that benefit individuals, organizations, and society.

• As an MSDS student, you’ll 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 graduate co-op program allows you to engage in full-time work experiences that align with your interests in data science. The MSDS program trains students from diverse backgrounds and professional experiences in a variety of industries, and it prepares you for work across industry and research. Careers span DS roles, including:

• data architecture and infrastructure
• predictive systems development
• data and machine learning engineering
• data analysis and statistics

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MS in Human-Computer Interaction and User Experience

The Master of Science in Human-Computer Interaction and User Experience (HCI/UX) explores creative ideas, theories, methods and technologies to advance your understanding of the complex and tightly coupled relationships between people and computing systems. The program trains you to create and evaluate technologies that support and complement human needs and abilities in a broad range of contexts such as work, wellness, home, entertainment, and artistic expression. The HCI/UX program prepares you for a range of careers related to user experience research and design, interface design and software development.

A graduate co-op is available; for more information, visit the Steinbright Career Development Center.

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MS in Information Systems

The Master of Science in Information Systems (MSIS) is an industry‑aligned graduate program designed to prepare technology leaders for the AI-driven enterprise and a future of digital innovation. The curriculum blends data, technology, design, and organizational strategy to equip you with the skills needed to build and manage modern information systems in a rapidly evolving digital world.

SCIS has designed the program for both career changers and experienced professionals who want deep, practical expertise in how organizations use data, platforms, intelligent systems, and human‑centered technology to innovate and compete. You will graduate ready to translate complex business needs into robust digital solutions and to lead the teams that deliver them.

The MSIS curriculum is organized around three integrated capability pillars that mirror real workforce expectations and modern IS roles:

1. Systems Design & Digital Delivery

• You learn how to analyze business problems, architect solutions, and manage the delivery of digital products and platforms. This pillar emphasizes skills used in roles such as solutions analyst, IT project manager, systems architect, product owner, and digital transformation consultant.

2. Data Engineering, Analytics & Intelligent Systems

• You learn the design of data infrastructure, analytics pipelines, and intelligent systems that support strategic, data‑driven decisions. This pillar develops skills used in roles such as data engineer, analytics architect, ML systems designer, data product developer, or BI engineer.

3. Digital Systems in Organizational Contexts

• You learn how digital systems are analyzed, configured, and governed within organizational, collaborative, and operational contexts. Emphasis is placed on aligning technology capabilities with work processes, decision-making, and responsible use in complex enterprise environments. This pillar builds skills used in roles such as business systems analyst, digital transformation analyst, product or platform analyst, technology consultant, AI systems or operations analyst.

A graduate co-op is available; for more information, visit the Steinbright Career Development Center.

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MSI in Library and Information Science

The interdisciplinary Library and Information Science (LIS) graduate degree integrates information technology, professional knowledge and experiential learning to prepare you to lead, manage, and innovate in libraries, archives, museums, and other information organizations. Highly ranked nationally, the program has been accredited by the American Library Association (ALA) since 1924 and is the second-oldest LIS program in North America.

Coursework that fuses theory and practice culminates in a 100-hour capstone project in which you apply your knowledge in real-world contexts. Graduates pursue careers as librarians, archivists, digital curators, metadata analysts, and research data managers, prepared to lead in an evolving information landscape. A graduate co-op is available; for more information, visit the Steinbright Career Development Center.

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MS in Software Engineering

The Master of Science in Software Engineering (MSSE) provides an AI-enhanced curriculum designed to support your career advancement in the modern software industry. The program prepares you to design, analyze, and evolve complex software systems, with emphasis on architectural modeling, design decision-making, trade-off evaluation, and quality assurance, all supported by AI-assisted development practices. You are prepared for advanced industry roles in which human-centered decision-making and AI-enhanced engineering work together to deliver and evolve complex software solutions.

The program culminates in a hands-on capstone project, where you work in teams on an intensive, real-world software project. This experience enables you to apply design and architecting skills and advanced engineering methods to a substantial, industrial-grade system. A graduate co-op is available; for more information, visit the Steinbright Career Development Center.

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MS in Business Information Technology

The Master of Science in Business Information Technology (MSBIT) prepares you for work related to applying information technology in organizations. Jointly offered by the College of Engineering and Computing and the LeBow College of Business, the program is thoroughly interdisciplinary. It connects business and information technology perspectives so that students understand information technology in an organizational context. Specifically, students completing the program will understand how information technology is managed in an organizational environment, how it helps to solve organizational problems, and how it can be used to transform an organization. Drexel has designed the program for students who have relevant work experience and either a technical or a business background. Courses provide technology and business knowledge with a practical emphasis.

Shape the program to your goals by tailoring your studies to specific focus areas with your choice of electives.

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MS in Economics and Data Science

A Joint Program with Drexel's LeBow College of Business

The Master of Science in Economics and Data Science program is a cross-field STEM degree that prepares you to work in a data-driven environment for business, government, or academics. Coursework in data science teaches you how to manage, manipulate, and parse data to extract knowledge and insight. Economics courses provide you with a framework to understand the causes and effects of what the data measure and how to forecast based on that information.

The program provides excellent training for careers in insurance, consulting, finance, data analytics, retailing, and government. It also provides outstanding preparation for further graduate study at the PhD level in business, data science, public health, economics and/or other social sciences.

Shape the program to your goals by tailoring your studies to specific focus areas with your choice of electives.

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PhD in Computer Science

The PhD in Computer Science offers students an opportunity to make significant novel contributions to the field of computer science through creative scholarship and research. SCIS has designed the program to provide students with both a breadth and depth of knowledge across fundamental areas of computer science, and most importantly, to build on one or more specific areas by conducting state-of-the-art research in partnership with our world-class faculty. The program prepares students for leadership careers in research and education in computer science and in the many areas of interdisciplinary work related to computer science.

Students in the PhD program move through several milestones on their way to completion of the degree: (1) qualifying requirements in which the student takes courses to ensure breadth and depth of knowledge across areas of computer science; (2) a candidacy exam in which the student performs an in-depth study of a particular area of research; (3) a thesis proposal in which the student provides a detailed overview of their planned dissertation work; and finally (4) a thesis defense in which the student presents their completed dissertation work. Upon entering the PhD program, students work with a graduate adviser to develop a plan of study (filed no later than the end of the first term); this plan can be revised and brought up-to-date when necessary, and serves as a blueprint for planning out the timely and successful completion of all milestones.

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PhD in Information Science

The PhD in Information Science prepares students to become creative, interdisciplinary researchers with foundations in information science, data science, and human-centered computing. The program is designed to support all students in attaining a high level of scholarly achievement in seminars as well as supervised and independent study. The doctoral program has two major goals: acquisition of in-depth knowledge in a specialized research area and interdisciplinary breadth to support creative scholarship. The degree prepares students for leadership and research careers in academia, industry, administration, and policy setting. Most graduates move into academic or research and development (R&D) careers.

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