Networked and Social Systems Engineering, BSE
The Rajendra and Neera Singh Program in Networked and Social Systems Engineering (NETS), is the world's first course of study to fully integrate the disciplines needed to design and analyze the complex networks that are reshaping our society. This program prepares students to shape the technologies that underpin Internet-based search and electronic commerce, financial networks, social networks, and even such exchanges as the power grid. Graduates of this program will be prepared to engineer networks that work for both end-users and investors. Other graduates may become the policy makers who are urgently needed to regulate these networks for the protection of commercial property and societal good.
For more information: https://www.seas.upenn.edu/prospective-students/undergrad/majors/networked-social-systems-engineering/
Networked and Social Systems Engineering (NETS) Major Requirements
37 course units are required.
| Code | Title | Course Units |
|---|---|---|
| Engineering | ||
| CIS 1100 | Introduction to Computer Programming | 1 |
| CIS 1200 | Programming Languages and Techniques I | 1 |
| CIS 1210 | Programming Languages and Techniques II | 1 |
| CIS 3200 | Introduction to Algorithms | 1 |
| ESE 2040 | Decision Models | 1 |
| or ESE 5060 | Introduction to Optimization Theory | |
| or ESE 6050 | Modern Convex Optimization | |
| ESE 3030 | Stochastic Systems Analysis and Simulation | 1 |
| or CIS 4190 | Applied Machine Learning | |
| or CIS 5190 | Applied Machine Learning | |
| or ESE 5450 | Data Mining: Learning from Massive Datasets | |
| or CIS 5200 | Machine Learning | |
| or CIS 5450 | Big Data Analytics | |
| ESE 3050 | Foundations of Data Science | 1 |
| NETS 1120 | Networked Life | 1 |
| NETS 1500 | Market and Social Systems on the Internet | 1 |
| NETS 2120 | Scalable and Cloud Computing | 1 |
| NETS 3120 | Theory of Networks | 1 |
| NETS 4120 | Algorithmic Game Theory | 1 |
| CIS 4000 | Senior Project | 1 |
| or CIS 4100 | CIS Senior Thesis | |
| or ESE 4500 | Senior Design Project I - EE and SSE | |
| CIS 4010 | Senior Project | 1 |
| or CIS 4110 | CIS Senior Thesis | |
| or ESE 4510 | Senior Design Project II - EE and SSE | |
| Math and Natural Science | ||
| MATH 1400 | Calculus, Part I | 1 |
| MATH 1410 | Calculus, Part II | 1 |
| or MATH 1610 | Honors Calculus | |
| MATH 2400 | Calculus, Part III | 1 |
| or MATH 2600 | Honors Calculus, Part II | |
| CIS 1600 | Mathematical Foundations of Computer Science | 1 |
| MATH 3120 | Linear Algebra | 1 |
| or MATH 3130 | Computational Linear Algebra | |
| or MATH 3140 | Advanced Linear Algebra | |
| CIS 2610 | Discrete Probability, Stochastic Processes, and Statistical Inference | 1 |
| or ESE 3010 | Engineering Probability | |
| or STAT 4300 | Probability | |
| MEAM 1100 & MEAM 1470 | Introduction to Mechanics and Introduction to Mechanics Lab | 1.5 |
| or PHYS 0150 | Principles of Physics I: Mechanics and Wave Motion | |
| or PHYS 0170 | Honors Physics I: Mechanics and Wave Motion | |
| PHYS 0151 | Principles of Physics II: Electromagnetism and Radiation | 1.5 |
| or PHYS 0171 | Honors Physics II: Electromagnetism and Radiation | |
| or ESE 1120 | Engineering Electromagnetics | |
| Technical Electives | ||
| Department Approval Required 1 | 6 | |
| General Electives 2 | ||
| ECON 2100 | Intermediate Microeconomics | 1 |
| ECON 4100 | Game Theory | 1 |
| or ECON 4101 | Game Theory Honors | |
| or ECON 6110 | Game Theory and Applications | |
| EAS 2030 | Engineering Ethics | 1 |
| or CIS 4230 | Ethical Algorithm Design | |
| or CIS 5230 | Ethical Algorithm Design | |
| or LAWM 5060 | ML: Technology Law | |
| Select 2 Social Science or Humanities courses | 2 | |
| Select 2 Social Science or Humanities or Technology in Business & Society courses | 2 | |
| Free Elective | ||
| Select 1 course unit of free electives | 1 | |
| Total Course Units | 37 | |
- 1
At least four courses from an approved depth area required. For the remaining courses you may use (1) courses from any approved depth area, and/or (2) courses approved by the department. In general, approved courses must be advanced courses that are rigorous/quantitative and have at least one nontrivial prerequisite. See the list of depth areas and approved courses.
- 2
Must include a Writing Seminar (a list of approved Writing Seminars can be found in the SEAS Undergraduate Handbook)
Concentrations
Students may select one of five concentrations:
- Data Science
- Economics and Networked Markets
- Networked and Cloud Services
- Technology and Society
- Theory of Networks and Dynamics
The degree and major requirements displayed are intended as a guide for students entering in the Fall of 2024 and later. Students should consult with their academic program regarding final certifications and requirements for graduation.