Fall 1
- MA.221: Analysis I: Real Anaysis
- E2.202: Random Processes
- E2.212: Matrix Theory
- E2.201: Information Theory
- E2.205: Error Control Coding
- E2.211: Digital Communications
- E2.221: Communication Networks
- E0.225: Design and Analysis of Algorithms
- E0.251: Data Structures and Algorithms
Spring 1
- MA.222: Analysis II : Measure and Integration
- E1.244: Estimation and Detection Theory
- E2.204: Stochastic Processes and Queueing Theory
- MA.318: Combinatorics
- E1.254: Game Theory
- E2.334: Topics in Computation over Networks
- E2.336: Foundations of Machine Learning
Fall 2
- MA.361: Probability Theory
- MA.368: Martingales and Brownian Motion
- E2.207: Concentration Inequalities
- E2.230: Network Science and Modeling
- E0.259: Data Analytics
- Ea.bcd: Topics in Stochastic Control
Spring 2
- E0.265: Convex Optimization and Applications
- E0.220: Graph Theory and Combinatorics
- MA.390: Percolation Theory
Fall 3
- MA.369: Random Matrix Theory
- MA.223: Functional Analysis