This combined major offers students the opportunity to gain cutting-edge data science skills and expertise in important and urgent social issues: crime, the law, and the criminal justice system. Data science classes allow students to develop skills in the collection, manipulation, storage, retrieval, and computational analysis of data in its various forms, including numeric, textual, image, and video data from small to large volumes. Criminology and criminal justice courses provide a foundation for understanding crime, the law, and our criminal justice system. Together, the combined major is designed to prepare students to apply data science skills to crime and justice topics.
Complete all courses listed below unless otherwise indicated. Also complete any corequisite labs, recitations, clinicals, or tools courses where specified and complete any additional courses needed beyond specific college and major requirements to satisfy graduation credit requirements.
Universitywide Requirements
All undergraduate students are required to complete the Universitywide Requirements.
NUpath Requirements
All undergraduate students are required to complete the NUpath Requirements.
Data Computer Science Courses
| Code | Title | Hours |
|---|---|---|
| Computer Science Overview | ||
| CS 1200 | First Year Seminar | 1 |
| or CRIM 1000 | Criminal Justice at Northeastern | |
| or INPR 1000 | First-Year Interdisciplinary Seminar | |
| CS 1210 | Professional Development for Khoury Co-op | 1 |
| or EESH 2000 | Professional Development for Co-op | |
| Computer Science Required Courses | ||
| All students can take a self-assessment to attempt to place out of CS 2000 and CS 2001. Students who place out of CS 2000 and CS 2001 will instead substitute 4-5 semester hours of CS, CY, or DS coursework at the 3000 level or higher not otherwise required in the degree. | ||
| CS 1800 | Discrete Structures | 4 |
| CS 2000 and CS 2001 | Introduction to Program Design and Implementation and Lab for CS 2000 | 5 |
| CS 2100 and CS 2101 | Program Design and Implementation 1 and Lab for CS 2100 | 5 |
| DS 3500 | Advanced Programming with Data | 4 |
| CS 3200 | Introduction to Databases | 4 |
| Data Science Foundations | ||
| DS 3000 | Mathematical Foundations of Artificial Intelligence | 4 |
| DS 4200 | Information Presentation and Visualization | 4 |
| DS 4300 | Large-Scale Information Storage and Retrieval | 4 |
| DS 4400 | Machine Learning | 4 |
| Khoury Approved Electives | ||
| With advisor approval, directed study, research, project study, and appropriate graduate-level courses may also be taken as upper-division electives. | ||
| Complete 4 semester hours from within the following options: | 4 | |
CS 2300 or higher, except CS 5010 | ||
CY 2000 or higher, except CY 4930 | ||
DS 2500 or higher, except DS 4900 | ||
| Embedded Design: Enabling Robotics | ||
| Fundamentals of Digital Design and Computer Organization and Lab for EECE 2322 | ||
| Digital, Analytics, Technology, and Automation Research Practicum | ||
Criminal Justice Courses
| Code | Title | Hours |
|---|---|---|
| Introduction to Crime, Law, and the Justice System | ||
What do we know about crime and justice? In these three courses, students have an opportunity to develop a foundational understanding of three related phenomena: why crime exists, how our criminal justice system responds to crime, and the constitutional and legal oversight of this process. | ||
| CRIM 1100 | Introduction to Criminal Justice | 4 |
| CRIM 1110 | Criminal Due Process | 4 |
| CRIM 1120 | Criminology | 4 |
| Current Crime and Justice Issues | ||
These courses introduce students to topical issues related to crime and justice. | ||
| Complete one of the following: | 4 | |
| The Death Penalty | ||
| Human Trafficking | ||
| Corruption, Integrity, and Accountability | ||
| Crime, Media, and Politics | ||
| Crime Problems and Criminal Justice Institutions | ||
The 2000-level courses in this list ask how does justice work and for whom? These courses introduce students to the systems and institutions tasked with providing justice. Each includes experiential learning components in cooperation with local criminal justice institutions. The 3000-level courses in this list provide students with a deeper look at a range of crime problems. | ||
| Complete one of the following: | 4 | |
| Black Abolition Studies: Carcerality, Liberation, and Resistance | ||
| Courts: The Third Branch of Government | ||
| Youth Crime and Justice | ||
| Punishment in the Age of Mass Incarceration | ||
| Policing a Democratic Society | ||
| Restorative Justice: Transforming the System | ||
| Black Families and Incarceration | ||
| Criminal Violence | ||
| Global Criminology | ||
| Psychology of Crime | ||
| Corporate and White-Collar Crime | ||
| Organized Crime | ||
| Political Crime and Terrorism | ||
| Criminal Law | ||
| Substance Use and Social Justice | ||
| Systemic Issues | ||
These courses consider systemic issues facing the criminal justice system. | ||
| Complete one of the following: | 4 | |
| Gender, Crime, and Justice | ||
| Race, Crime, and Justice | ||
| Creating Knowledge About Crime and Justice | ||
How do we know what we know about crime and justice—and how do we develop new knowledge? This course covers how to harness data to learn about issues, identify solutions, and advocate for change. | ||
| CRIM 3600 | Criminal Justice Research Methods | 4 |
| Criminal Justice Capstone | ||
| CRIM 4949 | Senior Capstone Seminar | 4 |
| Criminal Justice Elective | ||
These courses round out our knowledge of crime and justice. | ||
| Complete two additional criminal justice electives from the 3000, 4000, or 5000 level. | 8 | |
Integrative Course Requirement
| Code | Title | Hours |
|---|---|---|
| Complete one of the following: | 4 | |
| Analyzing and Using Data on Crime and Justice | ||
| Crime Prevention | ||
Supporting Courses
| Code | Title | Hours |
|---|---|---|
| Mathematics Requirement | ||
| MATH 1341 | Calculus 1 for Science and Engineering | 4 |
| Statistics Foundation | ||
| ECON 2350 | Statistics for Economists | 4 |
| Computing and Social Issues | ||
| Complete one of the following: | 4 | |
| Issues in Race, Science, and Technology | ||
| The Law, Ethics, and Policy of Data and Digital Technologies | ||
| Cyberlaw: Privacy, Ethics, and Digital Rights | ||
| Knowledge in a Digital World | ||
or PHIL 1300 | Knowledge in a Digital World | |
| History of Technology | ||
| Bostonography: The City through Data, Texts, Maps, and Networks | ||
| Data Storytelling | ||
| Technology and Human Values | ||
| The Twenty-First-Century Workplace | ||
| Environment, Technology, and Society | ||
| Technology and Society | ||
English Requirement
| Code | Title | Hours |
|---|---|---|
| College Writing | ||
| ENGW 1111 | First-Year Writing | 4 |
| or ENGW 1102 | First-Year Writing for Multilingual Writers | |
| Advanced Writing in the Disciplines | ||
| Complete one of the following: | 4 | |
| Advanced Writing in the Technical Professions | ||
| Advanced Writing in the Social Sciences | ||
| Interdisciplinary Advanced Writing in the Disciplines | ||
Required General Electives
| Code | Title | Hours |
|---|---|---|
| Complete 24 semester hours of general electives. | 24 | |
NUpath Requirements Satisfied
- Advanced Writing in the Disciplines
- Analyzing and Using Data
- Conducting Formal and Quantitative Reasoning
- Demonstrating Thought and Action in a Capstone
- Engaging Difference and Diversity
- Engaging with the Natural and Designed World
- Understanding Societies and Institutions
- Writing in the First Year
- Writing-Intensive in the Major
Integrating Knowledge and Skills Through Experience is satisfied through co-op.
Program Requirement
128 total semester hours required