Engineering and Technology
Acquire the skills to combine applications in mathematics; statistics; and powerful, high-speed numerical computing methods to design, develop and deploy valuable solutions in the competitive global market. In addition, you build a robust quantitative analysis foundation and explore multiple ways to address difficult modeling and analysis problems. Learn how to reach "correct" real-world solutions based on complex models with database-driven back ends and to devise mission-critical quality solutions. Join our email list to stay informed about this program.
The table contains the required courses for the Professional Program in Quantitative Analysis, as well as the terms they are typically available for enrollment.
4–6 Required Courses, 7 Semester Units (105 Hours of Instruction)
|Required Courses||Course Number||Units/ CEU||Classroom|
|Financial Quantitative Analysis and Modeling Using Excel
(offered future term)
|Introduction to Statistical Analysis With SPSS||X400||2||Fall
|Introduction to MATLAB and SCILAB||X446.7||1||Fall|
|MATLAB and SCILAB for Economists, Scientists and Engineers
(offered future term)
|Quantitative Analysis: Data Mining Using SQL||X407.1||1||Fall
|Quantitative Analysis: ERwin Data Modeling Essentials||X407.2||2||Spring|
|Quantitative Analysis: Toad for Data Analysts
(offered future term)
|Quantitative Analysis: Using SAP BusinessObjects||X407.4||2||Fall
Course availability is subject to change.
To enroll, click on a course title above and choose a section.
You may enroll in individual courses without registering for the Professional Program in Quantitative Analysis.
In addition to the courses listed above, you may take one course from any or all of the following categories:
Check with program staff before enrolling if you are unsure if the course qualifies for the Professional Program in Quantitative Analysis.
If you desire the quantitative tools that connect the entrepreneurial business side of qualitative analysis with the rigorous technical side, this program provides the knowledge you need. This program is also ideal if you are an analyst, part-time modeler, full-time computational or quantitative modeler, financial engineer or management professional who directly supports C-level executives.
There are no formal prerequisites for the Professional Program in Quantitative Analysis, but a bachelor's degree is recommended. It is also strongly recommended that you have college-level mathematics; understand statistics; possess intermediate computer skills, with the ability to write program code that can process data arrays; and are familiar with SQL.
You should have convenient root user or administrator access to a robust computer and the ability to install software. You are expected to acquire and install or have access to the software as required for course assignments related to this program. Please refer to the software creator's website or technical support staff about equipment configuration requirements and software compatibility.
The curriculum consists of taking 4–6 required courses for a total of 7 semester units (105 hours of instruction). Candidates must pay a nonrefundable program registration fee.
All coursework must be completed within three years of registering for the program. However, requirements may be updated based on new developments in the field of study; we recommend completing the curriculum in a timely fashion. For more information, please see the completion requirements and the substitutions, waivers and transfer credit policies.
By registering, you declare your intention to complete the curriculum. To register for the Professional Program in Quantitative Analysis, submit the online registration form with your credit card information or complete the mail-in registration form. The registration fee is nonrefundable.
You should register for the program before you complete your first course in the curriculum.
Each course is priced individually, and you pay the course fee at the time of enrollment. The program has an estimated cost of $2,900 (not including course materials or registration fee). Course fees are subject to change.
To contact the department office, email email@example.com or call (510) 642-4151.