The Best Masters Degree Programs in Artificial Intelligence
| School | Tuition* | Acceptance Rate | Graduation Rate | Financial Aid % | Placement Services | Career Services | Accepts | |
|---|---|---|---|---|---|---|---|---|
| 1 | East Carolina University | $7535 | 79% | 66% | 79% | Yes | Yes | AP / ACE Credits |
| 2 | Kennesaw State University | $7334 | 75% | 46% | 92% | Yes | Yes | AP Credits |
| 3 | Texas Tech University | $8181 | 69% | 61% | 78% | Yes | Yes | AP / NCCRS Credits |
| 4 | West Virginia University | $10134 | 84% | 61% | 94% | Yes | Yes | AP Credits |
To get a more in-depth look at our school ranking methodology, please visit Study.com's ranking methodology page.
*Tuition information is based on published tuition and required fees, per data by the National Center for Education Statistics (NCES).
If you're interested in the capability of machines to perform tasks in a 'smart' manner, then the computer field of artificial intelligence may be for you. A master's degree in this growing area encompasses a variety of topics, like data sciences, human computer interactions, and logic programming.
Information about Master's Degree Programs in Artificial Intelligence (AI)
Commonly available as master's of science degrees, an MSAI program typically spans approximately 15 months of full-time study or requires earning about 30 credits. Program completion often requires a thesis or some other type of capstone project. The following kinds of courses are often included:
Basics of Artificial Intelligence
During this course, the students should gain an understanding of the main areas where AI techniques are applied. Topics will include how and where AI is used in real world challenges. Various types of symbolic and physical networks will be explored.
Learning Methods of Data Analysis
This course should equip the students with the knowledge of how to automate the usage of machines. The curriculum will address the concept behind how machines learn through their experiences while mimicking humans. Issues of privacy preservation are also explored.
Database Design
Students in this course will deal with the relationship between real world operations and its structures. The class includes concepts such as database management systems and various types of web applications. The connection between information systems and database systems will be explored.
The Internet and AI
The aim of this course is to look at the search engine and how its performance is enhanced through AI. Students explore areas where machines and humans interact and the user interfaces that can make certain decisions based on behaviors. This class also offers the students an understanding on how AI impacts social and professional networking platforms.
Uses of AI in Big Business
This course will address the use of intelligence systems in business. Organization problems that businesses face will be explored, along with topics related to implementing and evaluating business intelligence systems. Related software and hardware options will also be discussed.
Common Admission Requirements for a Master's Degree Program in AI
An undergraduate degree in computer science or other specified fields with a minimum GPA may be required for admittance to these competitive programs. Some institutions may consider a foundation in mathematics, philosophy, psychology and even linguistics as a good background to apply. Other application requirements may include minimum scores on the GRE, letter of recommendation, personal statement, and resume. Related work experience may also be considered.
Artificial intelligence (AI) is a competitive and growing field. A master's degree in AI may be a good choice for those most dedicated to and interested in the technology related to intelligent devices.