Artificial Intelligence Systems Development, Graduate Certificate, Early Entry

Exceptional undergraduate students at UNC Charlotte may apply to this Early Entry Program to begin work toward a graduate degree before completion of the baccalaureate degree.

All program-level Admissions and Progression Requirements are in addition to the University of North Carolina at Charlotte Admission Requirements .

Admission Requirements

Completion of at least 75 undergraduate credit hours (although it is expected that close to 90 credit hours will have been earned by the time the first graduate course is taken)

• Minimum 3.2 overall undergraduate GPA
• Minimum 3.3 GPA in the Department of Computer Science
• Submit application online at https://gradadmissions.charlotte.edu/apply and provide supporting documents
• Recommendation by the Graduate Program Director (GPD) and approved by the Graduate School. Generally, the GPD is going to require the following before recommending a candidate to the Early Entry Program
• Math Requirement:
  • Calculus (3 hours)
  • Linear Algebra or Statistics
  • Discrete Mathematics (MATH 2165  or ITSC 2175 )
• Computer Science Requirement:
  • Introductory Computer Science Courses (ITSC 1212  and ITSC 1213 )
  • Data Structures (ITSC 2214 )
  • Candidate has taken at least one 3000 level course or above in ITSC, ITCS, or ITIS

Progression Requirements

• Completion of Early Entry Program Form, and approved by the Undergraduate Coordinator, Graduate Program Director, and Graduate School, prior to registering for graduate coursework each semester (see FAQ item ‘How does “double counting” work in the Early Entry Program’).
• Maintain a minimum 2.75 overall undergraduate GPA and 3.0 Junior/Senior GPA
• Undergraduate students are allowed to take only 15 hours of graduate credit before they have completed their baccalaureate degree

Special Policies or Requirements

This Early Entry Program is also accelerated; up to 12 credit hours earned at the graduate level may be substituted for required undergraduate hours. In other words, up to 12 credit hours of graduate coursework may be “double counted” toward both the undergraduate and graduate degrees. Approved course substitutions for Early Entry are listed below:

Undergraduate Course	Graduate Substitution
ITCS 3153 Introduction to Artificial Intelligence	ITCS 5153 Applied Artificial Intelligence
ITCS 3156 Introduction to Machine Learning	ITCS 5356 Intro to Machine Learning
ITCS 4101 Introduction to Natural Language Processing	ITCS 6101 Natural Language Processing
ITCS 4121 Information Visualization	ITCS 6121 Information Visualization
ITCS 4122 Visual Analytics	ITCS 5122 Visual Analytics
ITCS 4123 Visualization and Visual Communication	ITCS 5123 Visualization and Visual Communications
ITCS 4145 Parallel Programming	ITCS 6145 Parallel Computing
ITCS 4150 Mobile Robotics	ITCS 5150 Mobile Robotics
ITCS 4152 Introduction to Computer Vision	ITCS 6159 Computer Vision

 

For additional details on Early Entry to Graduate Programs, see the “Degree Requirements and Academic Policies” section of the Graduate Catalog and the Graduate Admissions website.

For details about the full requirements for this degree program, see the program listing in the Graduate Catalog.