The following is a list of optional courses on programming skills and statistics review that MAS students can participate in before the first semester starts (or during the program as well). Everything is optional, but it will be very helpful if incoming students are skillful in these areas. We are not necessarily endorsing these courses, but recognizing that these courses do cover a decent amount of topics necessary to start your study here in Binghamton.
- Programming (recommended for all students)
- R Basics - R Programming Language Introduction - R-Tutorials Training (Free)
- Introduction to R Programming - Packt Publishing (Paid)
- Introduction to Python Programming - about 25 hours to complete
- Python for Data Science – IBM (Paid)
- Machine Learning A-Z™: Hands-On Python & R In Data Science (Udemy.com) by Kirill Eremenko
- SQL for Data Science – UC Davis (Paid)
- Statistics Review (recommended for students with weak background in statistics)
- Statistics with R Specialization - Duke University (Paid)
Incoming MAS students are expected to have a laptop to complete their coursework.
Students are also expected to be technologically curious and familiar with a variety of business and statistical software. Below is a sample list of such software packages.
- Operating systems / business and file management
- Windows system
- Linux / UNIX
- Microsoft Office
- Adobe Acrobat Professional
- SSH Secure Shell Client
- Programming, database and statistical computing
- WinEdt or TeXnicCenter
The Department of Mathematical Sciences has a computing cluster composed of more than 240 CPUs. It is suitable for large-scale computing, especially for simulation jobs involving many replications.