PASS
Programs in Analytics and Statistical Studies
Master the software and practical skills
you need to get ahead.
Master the software and practical skills
you need to get ahead.

The courses are taught by recognized authorities with whom you share a private discussion forum for the entire course period.
Most PASS candidates choose to take one course at a time. With courses starting every week of the year, there is considerable scheduling flexibility. Admission applications are accepted on a rolling basis throughout the year.
Application Fee: $75
Program Registration Fee:$495
Estimated Required Course Tuition: $2394
Estimated Electives Course Tuition: $2946
Estimated Material Cost: $700
Estimated Total Cost: $6610
The program consists of courses offered completely online at Statistics.com. There is a small group of required topics, plus a number of electives. Different concentration strands within the program are available, corresponding to different sets of suggested electives. These strands are optional; if you successfully complete the courses in the strand this will be reflected on your PASS transcript. In addition to the concentration electives, students select several additional electives from among the general Program electives.
R Programming: We suggest R Programming Intermediate, R Programming Advanced, and Wrangling and Munging Data with SQL and R. If you are experienced with programming languages or statistical computation environments, you can skip over R Programming - Introduction. If you are new to programming altogether, this strand will not be useful to you unless you build in a couple of years of on-the-job programming experience between the initial courses and R Programming Intermediate.
R for Statistical Analysis: We suggest Logistic Regression, Introduction to Smoothing and P-spline Techniques Using R, and Wrangling and Munging Data with SQL and R.
Planning your Program
Most courses are four weeks long, and are scheduled either once or twice a year. Courses start on specific dates, but do not require you to be online at any particular time of the day. Since various courses are available throughout the year, the Program provides flexibility in scheduling.
Use the interactive "Plan Your PASS" tool to map out your program. Additionally, the required and elective courses are listed below in alphabetical order with the next available date. IMPORTANT: The interactive planning tool does not include detailed information on prerequisites for each course. See the course description for that information.
After your successful acceptance into PASS, you can begin your program with any course, based on your own background, the level of difficulty and whether you meet individual course prerequisites.
As a PASS candidate, you are eligible for the academic affiliation tuition reduction - indicate "PASS" when prompted for your academic affiliation during online registration. As an added benefit, if you register online for three courses simultaneously, an automatic $200 reduction is applied. Please note that payment of tuition and fees does not include the purchase of any required texts or software.
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Required Courses (6)
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Elective Courses (8 required)
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Applications are accepted and students are enrolled year round on a rolling basis. You pay an application fee and submit it with your application form. You may pay the fee online here, or enclose a check (USD drawn on a US bank) with your application. NOTE: The application is your opportunity to specifically outline your past education and experience, and provide any other information you want us to consider during our review. The value of this background and experience is the ability to place the statistical methods covered in the Program in an appropriate application context. Once we have accepted your application, we will be happy to assist you with more specific questions about PASS.
*If you do not meet this requirement, you may still enroll in PASS. Upon review of your application, we will determine whether you need to take Statistics.com's Statistics 1 and 2. If you do require these foundational courses, we will register you for them and waive the entire tuition fee.
I hear IT people commenting that they’re always needing to learn new technology because things in their field evolve and change quickly. The same thing is true in analytics. New techniques are developing rapidly.
Robert Wood
Director, Advanced Analytics Group, Merkle