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Bachelor's

Systems Engineering, Bachelor of Science

Johns Hopkins University Whiting School of Engineering 67 courses 125 total credits

About This Program

Many of the challenges facing modern society require not only new technological solutions, but also efficient, effective, and equitable implementations of these technologies to ensure the betterment of society. Venturing beyond the confines of traditional engineering coursework, the Bachelor of Science degree in Systems Engineering is trans-disciplinary and collaborative, connecting mathematics, engineering, social and physical sciences, and medicine. The program provides students with knowledge of theory, computational methods, and research in the fundamental frameworks of optimization, network theory, data analysis, and uncertainty quantification, providing the tools required to envision solutions to big-picture problems in a range of applications. Examples include monitoring and modeling the COVID-19 outbreak, optimizing hospital resource allocation, optimizing equitable access to food, and designing infrastructure, energy systems, and smart cities that are interconnected, resilient to hazards, and equitable. Students will gain significant experience in collaborative problem solving that will serve them well in a broad range of careers, including those related to future energy infrastructure, smart cities, decision-making in healthcare, and data mining and decision making.

Degree Requirements

Data Analytics or Optimization & Modeling Elective 2 (e.g. Systems Dynamics) 3 credits
Data Analytics or Optimization & Modeling Elective 3 (e.g. Intro to Network Modeling) 3 credits

FA1 WRITING AND COMMUNICATION

Complete one from the following:

Code Course Title Credits
AS.004.101 Reintroduction to Writing 3
EN.661.110 Professional Writing and Ethics 3

FA1 WRITING AND COMMUNICATION

Code Course Title Credits
EN.661.250 Oral Presentations 3

FA2 SCIENTIFIC AND QUANTITATIVE REASONING

Code Course Title Credits
AS.110.108 Calculus I (Physical Sciences & Engineering) 4

FA2 SCIENTIFIC AND QUANTITATIVE REASONING

Code Course Title Credits
AS.110.109 Calculus II (For Physical Sciences and Engineering) 4

FA2 SCIENTIFIC AND QUANTITATIVE REASONING

Code Course Title Credits
EN.560.240 Uncertainty, Reliability and Decision-making 3

FA2 SCIENTIFIC AND QUANTITATIVE REASONING

Complete one from the following:

Code Course Title Credits
EN.500.113 Gateway Computing: Python 3
EN.500.132 Bootcamp: Java 1
EN.500.112 Gateway Computing: JAVA 3
EN.500.133 Bootcamp: Python 1

FA5 ETHICAL REFLECTION

Code Course Title Credits
EN.660.463 Engineering Management & Leadership 3

MATHEMATICS

EN.553.291 may also be replaced by AS.110.302, AS.110.212, AS.110.302, EN.553.295, AS.110.302.

Code Course Title Credits
AS.110.108 Calculus I (Physical Sciences & Engineering) 4
AS.110.109 Calculus II (For Physical Sciences and Engineering) 4
AS.110.202 or AS.110.211 Calculus III or Honors Multivariable Calculus 4
EN.553.291 or AS.110.201 Linear Algebra and Differential Equations or Linear Algebra 4-8
Total MATHEMATICS 16-20 credits

BASIC SCIENCES

Basic Science Elective. Recommended courses: 1

Code Course Title Credits
AS.171.102 General Physics: Physical Science Major II 4
AS.270.305 Energy Resources in the Modern World 3
Total BASIC SCIENCES 3 credits

COMPUTING REQUIREMENT

Complete one of the following:

Code Course Title Credits
EN.500.113 Gateway Computing: Python 3
EN.500.132 Bootcamp: Java 1
EN.500.112 Gateway Computing: JAVA 3
EN.500.133 Bootcamp: Python 1
Total COMPUTING REQUIREMENT 4 credits

SYSTEMS ENGINEERING FUNDAMENTALS

Code Course Title Credits
EN.500.215 Principles of Data Science 3
EN.560.315 Data Science for Systems Engineers 3
EN.560.342 Smart and Resilient Cities 3
EN.560.352 Optimization for Decision Making 3
Total SYSTEMS ENGINEERING FUNDAMENTALS 12 credits

Data Analytics Electives

Code Course Title Credits
EN.553.413 Applied Statistics & Data Analysis I 4
EN.553.414 Applied Statistics and Data Analysis II 3
EN.553.432 Bayesian Statistics 3
EN.553.436 Introduction to Data Science 3
EN.553.439 Time Series Analysis 3
EN.560.410 Drivers of Technological Change 3
EN.560.411 Analytical Approaches for Sustainable Systems 3
EN.560.450 Operations Research 3
EN.560.451 Smart Transportation and Autonomous Vehicles 3
EN.560.457 System Dynamics 3
EN.560.459 Production Systems Analysis 3
EN.601.226 Data Structures 4
EN.601.433 Intro Algorithms 3
EN.601.475 Machine Learning 3
EN.601.477 Causal Inference 3
EN.601.482 Machine Learning: Deep Learning 4
EN.601.484 Explainable AI Design & Human-AI Interaction 3
EN.601.486 Machine Learning: Artificial Intelligence System Design & Development 3

Click a course code or title to read the full course description.

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