Accelerated Bachelor/Master of Arts in Mathematics

Program Coordinator: Jungmin Choi (232 Austin Building; 252-328-5348; choiju@ecu.edu)

The accelerated bachelor/master of arts in mathematics program is initiated while undergraduates are completing the BA or BS degree in mathematics and is intended for outstanding mathematics undergraduates. For this program, graduate student course work will begin in the students’ fourth year of undergraduate study and be completed with one academic year of study beyond the bachelor’s degree. It is anticipated that a full year of study beyond completion of undergraduate mathematics requirements will be required to complete this program. Mathematics students may apply to the program after completion of a minimum of 75 eligible undergraduate credit hours, and can begin taking graduate courses after completion of a minimum of 90 eligible undergraduate credit hours (120 credit hours are required for the bachelor’s degree in mathematics). Up to 12 credit hours of graduate courses may be counted towards completion of both the undergraduate degree and master’s degree. The minimum GPA at the time of admission and entry to the program is 3.5 in mathematics courses and 3.0 overall. Students are formally admitted to the master’s degree after all requirements for the undergraduate degree are completed.

Students accepted into the accelerated program must earn a grade of B or above in all graduate coursework to continue in the accelerated program. Students who earn a C in any graduate course will still be able to count the course toward the BS or BA degree, but will not be eligible to take additional courses in the accelerated bachelor’s/master’s program Students will be able to reapply to the MA program.

Undergraduate students accepted into the accelerated program may count up to 12 s.h. in any combination from the following two sets of courses:

• MATH 5031 - Applied Statistical Analysis (for MATH 4031  )
• MATH 5064 - Introduction to Modern Algebra II (for MATH 4264 )
• MATH 5101 - Advanced Calculus I (for MATH 4101 )
• MATH 5110 - Elementary Complex Variables (for MATH 4110 )
• MATH 5322 - Foundations of Mathematics (for MATH 4322 )
• MATH 5774 - Programming for Research (for MATH 4774 )
• MATH 5801 - Probability Theory (for MATH 4801 )
• MATH 6001 - Matrix Algebra (for MATH 4057 )
• MATH 6005 - Introduction to Sampling and Experimental Design (for MATH 4005 )
• MATH 6100 - Mathematics of Risk Analysis (for MATH 4100 )
• MATH 6111 - Introduction to Complex Variables I (for MATH 4110 ) 
• MATH 6300 - Financial and Actuarial Mathematics (for MATH 4300 )
• MATH 6804 - Stochastic Processes (for MATH 4201 )

Graduate elective courses:

• MATH 5002 - Logic for Mathematics and Computer Science
• MATH 5021 - Theory of Numbers I
• MATH 5102 - Advanced Calculus II
• MATH 5121 - Numerical Analysis in One Variable
• MATH 5122 - Numerical Analysis in Several Variables
• MATH 5131 - Deterministic Methods in Operations Research
• MATH 5132 - Probabilistic Methods in Operations Research
• MATH 5311 - Mathematical Physics
• MATH 5521 - Readings and Lectures in Mathematics
• MATH 5551 - The Historical Development of Mathematics
• MATH 5581 - Theory of Equations
• MATH 6000 - Introduction to Graduate Mathematics
• MATH 6011 - Modern Algebra I
• MATH 6012 - Modern Algebra II
• MATH 6022 - Theory of Numbers II
• MATH 6112 - Introduction to Complex Variables II
• MATH 6121 - Real Variables I
• MATH 6122 - Real variables II
• MATH 6150 - Graph Theory
• MATH 6401 - Introduction to Partial Differential Equations I
• MATH 6402 - Introduction to Partial Differential Equations II
• MATH 6411 - Ordinary Differential Equations I
• MATH 6412 - Ordinary Differential Equations II
• MATH 6500 - Special Topics
• MATH 6561 - Properties of Infinite Series
• MATH 6611 - Introduction to Higher Geometry I
• MATH 6612 - Introduction to Higher Geometry II
• MATH 6651 - Introduction to Topology
• MATH 6802 - Statistical Inference
• MATH 6803 - The Linear Model