Bachelor of Science in Computer Science with Concentration in Artificial Intelligence

Mississippi State University - Starkville Main Campus

USA,Mississippi

 0 Shortlist

48 Months

Duration

CAD 27,637/year

Tuition Fee

CAD 60

Application Fee

Apply Date

USA, Mississippi

Type: College

Location Type: Rural

Founded: 1878

Total Students: 23,086 +

Int. Students: 1,000 +

Campus Detail

Main Campus Address

75 B. S. Hood Rd, Mississippi State, MS 39762, United States

Bachelor of Science in Computer Science with Concentration in Artificial Intelligence

Program Overview

Computer Science is the study of principles, applications, and technologies of computing and computers. It involves the study of data and data structures and the algorithms to process these structures; of principles of computer architecture — both hardware and software; of problem-solving and design methodologies; of computer-related topics such as numerical analysis, operations research, and artificial intelligence; and of language design, structure, and translation technique. Computer Science provides a foundation of knowledge for students with career objectives in a wide range of computing and computer-related professions.

Computer Science graduates begin careers as computer programmers, system analysts, programmer/analysts, software engineers, system programmers, computer system engineers, and in a number of other computer-related jobs. Several double-major programs are also available. A minor in computer science is available to students with major programs of study in other fields at the University. The department also offers study leading to the Master of Science degree and Doctor of Philosophy Degree.

Artificial Intelligence Concentrations

The artificial intelligence area of computer science deals, in general, with algorithms and techniques that allow computers to behave more like humans. Areas in artificial intelligence include expert systems, natural language processing, neural networks, data mining and robotics. At MSU, faculty and graduate students work in applying these techniques to areas such as reasoning under uncertainty, bioinformatics and human-machine interactions.