Description: An explosion of data from surveys, sensors, satellites, mobile communications, transactions and social media is enabling intelligent predictions and decision making. This concentration provides the skills to apply a range of machine learning and data science techniques to address real-world challenges.

Faculty contacts: Patrick McSharryKumar Bhagavatula

Concentration requirements

 


Fundamentals
(24–36 units)

Specialization
(12-24 units)

04-801 (6) Optimization for Machine Learning

11-785 (12) Deep Learning

18-661 (12) Introduction to Machine Learning for Engineers

18-751 (12) Applied Stochastic Processes

18-785 (12) Data Inference & Applied Machine Learning

18-794 (12) Pattern Recognition Theory

18-797 (12) Machine Learning for Signal Processing
04-801 (6) Intro to Natural Language Processing

04-801 (6) Artificial Neural Networks

04-801 (6) Augmented Reality and Virtual Reality

18-799 (12) Artificial Cognitive Systems

18-799 (12) Cognitive Robotics

18-799 (12) Applied Computer Vision

18-899 (6) Data Analytics

18-899 (6) Big Data Science

 

Course Course Name Location Units Semester Offered
04-801-L1 Mathematical Foundations of Machine Learning Africa 6 Fall

Core

(24 - 36 units)

Electives

(12 - 24 units)

Course Course Name Location Units Semester Offered
04-801-J4 Artificial Neural Networks Africa 6 Spring
04-801-E2 Augmented and Virtual Reality Africa 6 Fall
04-802-A Applications of Machine Learning in Africa Africa 6 Fall
18-799-K Artificial Cognitive Systems Africa 12 Fall
18-799-RW Applied Computer Vision Africa 12 Fall
18-899-K3 Data Analytics Africa 6 Spring
18-899-K4 Big Data Science Africa 6 Spring