Frequently Asked Questions
Admissions & Application
Q: What background is required to apply?
A: Applicants should have a strong foundation in mathematics or statistics. Familiarity with programming (in R or Python) and linear algebra is required. Students from related fields like computer science, engineering, physics, or economics are also encouraged to apply.
Q: Can I apply if I did not major in math or statistics?
A: Yes. Many successful applicants come from other quantitative backgrounds. You may be advised to take preparatory courses if needed.
Q: Are GRE scores required?
A: No, GRE scores are not currently required for admission.
Q: Are TOEFL/IELTS scores required for international applicants?
A: Yes, unless the applicant holds a degree from an English-speaking institution. Please check the Graduate School's website for minimum score requirements.
Q: Can I defer admission if accepted?
A: Deferrals may be considered on a case-by-case basis. Please contact the program director for guidance.
Program Structure & Academics
Q: Can I pursue the program part-time or online?
A: The program is designed for full-time, in-person study. Part-time enrollment may be possible with approval. Online options are not available.
Q: What is the typical course load per semester?
A: Most full-time students take 9 to 12 credits per semester.
Q: Are there specialization tracks or concentrations?
A: While there are no formal tracks, students can tailor their electives to focus on areas such as statistical analysis, machine learning, theoretical statistics, or computational sciences.
Q: Can I take electives outside the department?
A: Yes, with approval. Courses from computer science, systems science, economics or business analytics may be permitted if they support your academic goals.
Computing & Preparation
Q: What software tools will I use in the program?
A: Students will gain hands-on experience with R, Python, SQL, Jupyter Notebooks, Git, and LaTeX.
Q: How should I prepare before starting the program?
A: You are encouraged to review R or Python programming, SQL, and basic statistics. Free online courses are listed on our computing preparation page.
Financial Aid & Assistantships
Q: What are the tuition costs?
A: Please refer to our tuition and cost page for the most up-to-date information.
Q: Are financial aid or scholarships available?
A: While most students are self-funded, a small number of highly qualified applicants may receive scholarships. These are competitive and typically awarded after admission.
Career Outcomes & Support
Q: What kinds of jobs do graduates get?
A: Graduates pursue roles such as data analyst, data scientist, statistical programmer, biostatistician, and machine learning engineer in industries like healthcare, finance, tech, and government.
Q: Does the program help with job placement or internships?
A: Yes, the department and Binghamton’s Fleishman Career Center provide career services, resume reviews, job fairs, and access to internship postings.
International Students
Q: Is the program STEM-designated?
A: Yes. The MS in Data Science & Statistics is STEM-designated, which qualifies international students for up to 36 months of Optional Practical Training (OPT) in the U.S.
Q: Are there resources for international student support?
A: Yes. The Office of International Student and Scholar Services (ISSS) provides visa advising, workshops, and arrival support.
General
Q: How long does the program take to complete?
A: Most students complete the program in 3 to 4 semesters.
Q: Is a thesis required?
A: No. Instead, students complete a capstone seminar (Math 540) that includes a project-based assessment.
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