天天吃瓜

Program Description

Full Description

The Master of Science degree in Artificial Intelligence prepares students with a focused educational and research environment to develop career paths through necessary learning and training with emerging artificial intelligence technologies and applications to intelligent analytics, smart homes and communities and robotics and automation. Graduates have technical knowledge and research and development skills necessary for applying artificial intelligence to industry, community and military. These areas include sectors requiring intelligent pattern-analysis of big data such as retail, healthcare, biology, psychology and intelligent human-machine interactions and interfaces.

Admissions

For more information about graduate admissions, visit the graduate admission website. For more information on international admissions, visit the international admission website.

Admission Requirements

• Bachelor's degree from an accredited college or university
• Minimum 3.000 undergraduate GPA on a 4.000-point scale
• Course Proficiency: Completion of high-level algebra, geometry and calculus courses (equivalent to MATH 12002, MATH 12003, MATH 21001)¹(starting with spring 2026 admissions, a minimum B grade in these courses will be required)
• Official transcript(s)
• GRE scores
• Résumé
• Goal statement
• Two letters of recommendation
• English language proficiency - all international students must provide proof of English language proficiency (unless they meet specific exceptions to waive) by earning one of the following:²
  • Minimum 71 TOEFL iBT score
  • Minimum 6.0 IELTS score
  • Minimum 50 PTE score
  • Minimum 100 DET score

Admission to this interdisciplinary program is holistic. Highly qualified students from related disciplines who are lacking preparation in some standard areas may be considered for admission on a case-by-case basis.

¹

It is strongly recommended that applicants to the program have completed computer sciences courses with a minimum B grade in such areas as computer programming, discrete structures, data structures and abstraction, operating systems, database and computer algorithms (equivalent to CS 13011, CS 13012, CS 23001, CS 23022, CS 33007, CS 33211, CS 46101).

²

International applicants who do not meet the above test scores may be considered for conditional admission.

Application Deadlines

• Fall Semester
  • Application deadline: June 15
• Spring Semester
  • ​Application deadline: November 1
• Summer Term
  • Application deadline: April 1

All application materials (including applicable fee, transcripts, recommendation letters, etc.) submitted after these deadlines will be considered on a space-available basis.

Learning Outcomes

Program Learning Outcomes

Graduates of this program will be able to:

1. Combine intelligent analytics and automation, human-computer interaction and robotics techniques to optimize and automate transportation, industrial processes and/or healthcare processes.
2. Apply machine learning techniques on big data to predict, classify, data mine and explore patterns.
3. Apply intelligent visualization and Internet-based techniques for smart homes and communities.
4. Perform research, discovery and integration by applying knowledge of artificial intelligence theory and techniques.

Program Delivery

• Delivery:
  • In person
• Location:
  • 天天吃瓜 Campus