Accelerated Program (4+1) for B.S./B.A. students with Applied Scientific Mathematics Minor and M.S. in Data Science. The accelerated curriculum can be completed in five years to obtain the M.S. in Data Science degree within one additional year after completing the B.S./B.A. and the Mathematics Minor programs. The students take four graduate courses during the senior year. Subsequently, the students complete the requirements for the M.S. in Data Science and Engineering within one year. The accelerated program applies 12 graduate credits for undergraduate courses.
Requirements for Program Admission and Continuation
Admission to the program:
- Submit an application for the M.S. in Data Science program during the Spring semester of Junior Year,
- Meet the M.S. in Data Science admission requirements completed the undergraduate degree program, with undergraduate GPA of at least 2.75,
Continued participation in the program as an undergraduate:
- Have Senior status (earned at least 90 credits) before taking graduate courses,
- Have at least a 3.0 GPA in the undergraduate curriculum before taking graduate courses from the data science curriculum,
Continued participation as a graduate student:
- Before taking graduate courses during the fifth year, fulfill all the requirements for admission to the M.S. in Data Science, including having earned the undergraduate degree.
Accelerated Curriculum
By the end of Spring of Junior Year:
- Take MATH 2814 Intro Linear Algebra Comp Math or MATH 2813 Linear Algebra as the first elective course for the Applied Scientific Mathematics Minor.
- Complete the courses of the Applied Scientific Mathematics Minor, except the second elective course.
Senior Year:
- Take four graduate courses from the M.S. program, such as DASC 6811 Statistics for Data Science, DASC 6010 Data Mining, DASC 8211 Machine Learning, and DASC 6911 Big Data Analytics. DASC 6811 Statistics for Data Science shall count as the second required elective courses for the Applied Scientific Mathematics Minor. Any of the other three courses count as undergraduate courses in programs where applicable or as general undergraduate electives.
Graduate Year:
- Fall Semester: Take DASC 8222 Data Engineering, and DASC 9321 Data Science Engineering Project 1, and one elective graduate course from the M.S. curriculum.
- Spring Semester: Take DASC 7000 Data Visualization, DASC 9322 Data Science Engineering Project 2 and one elective graduate course from the M.S. curriculum.
