Accelerated Program (3+2) for B.S. in Physics and M.S. in Data Science and Engineering
The accelerated curriculum can be completed in five years to obtain the B.S. in Physics after four years and the M.S. in Data Science and Engineering within one additional year. 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, except having 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 Spring of Junior Year:
- Have completed MATH 2111 Statistics for Science Majors (general elective) and CSAS 1113 Computing for Science Majors (elective from the Physics curriculum).
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. Any of the four courses may 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.
