Best online master's programs in Statistics and Machine Learning - Updated 2021

6 accredited Universities offer online Master's program in Statistics and Machine Learning. The tuiton for online Master's can range from $24,054 to $53,740. Find admission requirements, credits required for completion and compare the online master's program between these universities.

Computer Science, Information Systems and Information Technology is projected to grow 12 percent from 2016 to 2026, faster than average for all occupations. Median pay for Computer Science, Information Systems and Information Technology in 2018 was $135,800. The number of jobs were 352510.

Ranked as: #12 in Best National University
Tuition: -
State: MD
Acceptance: -
Statistics is the study of the collection, analysis, interpretation, presentation, and organization of data. In applying statistics to, e.g., a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model process to be studied. Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning focuses on the development of computer programs that can teach themselves to grow and change when exposed to new data.

Statistics and Machine Learning

Ranked as: #42 in Best National University
Tuition: -
State: CA
Acceptance: -
Machine Learning and Natural Language Processing define the current state of the art of Artificial Intelligence. These technologies, which are a form of data mining and data analysis, continuously learn from the provided information. They recognize hidden patterns that often provide dramatic competitive advantages, at relatively low costs to the organization. These technologies create significant improvements in the way we work, interact, and live – producing efficiencies never imagined before.

Machine Learning

Ranked as: #47 in Best National University
Tuition: -
State: WI
Acceptance: -
The Signal Processing and Machine Learning (SPML) program is intended for students looking for a jump-start on a career in data science, with a passion for quantitative thinking, practical problem-solving, computer programming, and applications to a variety of domains. It is designed for motivated students ready for the rigors of an accelerated program. Extremely well-prepared students may complete the program within 12 months, but many students will likely find a 16-month time frame more appropriate.

SIGNAL PROCESSING AND MACHINE LEARNING, M.S.

Ranked as: #62 in Best National University
Tuition: -
State: IN
Acceptance: -
Machine learning offers a new paradigm of computing- computer systems that can learn to perform tasks by finding patterns in data, rather than by running code specifically written to accomplish the task by a human programmer. The most common machine learning scenario requires a human teacher to annotate data (identify relevant phenomenon that occurs in the data), and use a machine learning algorithm to generalize from these examples. Generalization is at the heart of machine learning-- how can the machine go beyond the provided set of examples and make predictions about new data. In this class we will look into several machine learning paradigms and specific learning algorithms, analyze their performance and learn the theory behind them.

Statistical Machine Learning

Ranked as: #76 in Best National University
Tuition: -
State: NJ
Acceptance: -
The machine learning master’s degree program at Stevens consists of five core courses including Artificial Intelligence, deep learning and natural language processing, and an interdisciplinary list of electives. Courses focus on both theoretical analysis and implementation of a wide range of topics in machine learning. Students can optionally work on a thesis with one of the program's faculty members.

Machine Learning Master's Degree

GRE score required at Stevens Institute of Technology master's degree programs in Statistics and Machine Learning
Ranked as: #2 in Best Regional University in West Coast
Tuition: -
State: CA
Acceptance: -
This course covers modern machine learning theory and techniques that can be applied to make informed data-driven decisions. Machine learning algorithms are being used in a wide range of domains including image and voice recognition, finance, security, and games. Electrical and Computer Engineering Sections Electrical and Computer Engineering.

Introduction to Machine Learning

Related Graduate Programs

  • Scholarships and Grants - Financial Aid in Statistics and Machine Learning
  • Jobs, Salaries and Career after Masters in Statistics and Machine Learning - Updated 2021
  • Best Graduate Programs in Statistics and Machine Learning - Updated 2021
  • Best Graduate Programs in Statistics and Machine Learning in New Jersey - Updated 2021
  • Best Graduate Programs in Statistics and Machine Learning in California - Updated 2021
  • Masters programs in Statistics and Machine Learning which do not require GRE - Updated 2021
  • Compare Schools