Welcome to the Advanced Certificate in Computational Science Program. This cutting-edge program will prepare you for an exciting job in high-growth technology fields and can be completed entirely online in about one year.

In order to enroll in this program, you must hold a baccalaureate degree from a regionally accredited institution.

Students may earn the Computational Science Certificate by successfully completing COMP 526, 589, 601, 696, four graduate level Computational Science courses. 

Other courses may not be substituted. You must earn a "B" or better in all Certificate courses. If you decide to enroll in the Professional Science Master's program in Computational Science, all 12 units earned will transfer to the master's degree.

In order to earn an advanced certificate or master's degree, you must apply and be admitted to SDSU. You may not take more than 9 units prior to being officially admitted into the advanced certificate or master's degree program if you wish to earn an official SDSU advanced certificate or degree. For more information, please contact the Division of Graduate Affairs at gra@mail.sdsu.edu or call (619) 594-5213.

COMP 526 - Computational Methods for Scientists
This course is designed to be self-contained and suitable for students with varied technical backgrounds. The main thrust of this course will be in the comparative analysis of algorithms. Case studies will be presented with a selection of algorithms to use for solution. Results will be evaluated for accuracy, efficiency, versatility, and robustness.

COMP 589 - Computational Imaging
Topics Include: Cognitive principles governing effective design and analysis of data representations; design strategies for enhancing dimensionality and information density of visual portrayals of information; software tools for visualization; modern image analysis, and interface propagation techniques with an emphasis on implicit representation.

COMP 601 - Business Skills for the Information Age
Introduction to some key science and technology related skills that businesses value in employees. Topics introduced in this course include: effective communication tools; organizational tools and an analytical tools overview.

COMP 696 - Basic Computational and Applied Statistics
Statistical tools for basic analysis. Topics include: Variation and understanding its importance in decision making, selected graphical tools, descriptive statistics, basic distributions,and inferential statistics.

If you are planning to use your veteran education benefits to pay for this program, you must complete the Veteran Education Benefits Responsibilities form and submit per the instructions provided. If you are active duty military planning to use Tuition Assistance, please contact your Education Service Officer.

Email compsci@myth.sdsu.edu or call (619) 594-3430.