Graduate

Graduate Departmental Admissions

Applications to our program are made directly to the Graduate School at Wake Forest University. More information on the admissions process from the Graduate School can be found on their website.

The Computer Science program does, as of academic year 2024-2025, offer both Fall and Spring semester admissions, with the Fall semester being the principal admissions period. Deadlines for applications can be found on the Graduate School website.

Questions about our graduate program should be addressed to the Graduate Program Director, Dr. William Turkett at turketwh@wfu.edu.

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For applications for admission submitted to start our programs in Spring 2025 or Fall 2025, submission of general GRE scores is not required.

Note: In certain circumstances, students who have not fulfilled some admission requirements may be admitted conditioned upon their completing the required courses while in the program.

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Statement of Eligibility

The Graduate School’s Statement of Eligibility: Undergraduate seniors and graduates of accredited U.S. colleges and universities or recognized foreign institutions may apply for admission to the Graduate School for study on the Reynolda Campus or the Bowman Gray Campus. Applicants must complete their degree requirements prior to entering the Graduate School.

For international applicants, the Graduate School has a hard requirement of a minimum TOEFL score of 550 (Paper Based Test) or 213 (Computer Based Test) or 79-80 (Internet Based Test) or a minimum IELTS Test score of 6.5.

In addition, students entering the graduate program in Computer Science should have completed Computer Science course work in the areas of:

• Programming in a high-level language such as Java, C, or C++
• Basic computer organization and architecture
• Data structures and algorithms
• Principles of operating systems and networks

They should also have completed mathematics courses equivalent to:

• Two semesters of calculus (differential and integral calculus including infinite series)
• Discrete mathematics
• Linear algebra
• Probability and statistics.