Accelerated 3+2 Dual Degree Program in Physics and Data Science
Students who complete an undergraduate B.S. or B.A. in Physics may complete the M.S. in Data Science (online program) within only one additional year.
Seton Hall Physics students already having extensive analytical and mathematical background can enhance their computational knowledge with this accelerated 3+2 Dual Degree Program in Physics and Data Science. A data scientist is a practitioner who has extensive knowledge in the overlapping realms of business needs, domain knowledge, analytical skills, and software and systems engineering to manage the end-to-end data processes in the data life cycle. Such a practitioner is skilled in data management and processing, analyzing business and scientific processes, and communicating findings for effective decision making. A physicist with an graduate degree in data science is on high demand for employers.
The Department of Physics, in cooperation with the Department Mathematics and Computer Science, offers a dual degree program that allows qualified physics majors to complete a master program in Data Science at Seton Hall University.
Program Admission and Continuation
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
Have Senior status (earned at least 90 credits) before taking graduate courses
Have completed MATH 2111 Statistics for Science Majors and CSAS 1113 Computing for Science Majors by Spring of Junior Year. B.A. majors may also complete ISCI 1117 Computing for Informatics instead of CSAS 1113.
Have at least a 3.0 GPA in the undergraduate Physics curriculum before taking graduate courses from the Data Science curriculum
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
The students must have completed MATH 2111 Statistics for Science Majors (general elective) and CSAS 1113 Computing for Science Majors (elective for the B.S. in Physics). B.A. majors may also complete ISCI 1117 Computing for Informatics instead of CSAS 1113.
Summer between the Junior and Senior Years
Take the graduate course DASC 7211 Network Analysis or DASC 7521 Operations Research, which shall count as a general elective for the undergraduate requirements.
Fall Semester: Take DASC 6811 and DASC 7000 Data Visualization (if not yet taken)
Spring Semester: Take DASC 6911 Big Data Analytics Big Data Analytics and two elective graduate courses from the M.S. in Data Science curriculum
Take DASC 931 and one elective graduate course from the M.S. in Data Science curriculum.
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