This clinical science program provides students with the practical skills needed to effectively conduct, analyze, and communicate research findings in the social, behavioral, and health sciences. Students can receive advanced training in data analysis that is tailored toward preparing them for doctoral study or immediate employment in the clinical health sciences. The program supports open science initiatives, utilizes the latest technological advances in data science, and helps students master the R statistical programming language. R is a common choice for academic research in the social and biological sciences and the tool of choice in clinical studies and bioinformatics (Robinson, 2017).
On-campus with a full-time or part-time course load
|Calendar & Course Availability
Fall and spring semesters (15-week terms) and summer sessions
$755 per credit
$25,670 base cost
Graduates may be involved in activities as diverse as measuring the efficacy of clinical programs, developing new methods of assessment, or providing consultation to organizations.
Receive a program brochure and financial aid options.
The curriculum is designed to prepare students for either:
(1) Continuing their graduate studies in a doctoral program in psychology or other related clinical health science fields such as Clinical, Counseling, School, or other Social Science areas.
(2) Seeking immediate employment related to statistics, research, psychometrics, test development, data analytics, clinical outcomes, or program evaluation.
Why Cal Lutheran?
- Diversity of students from all over the world.
- Small entering class sizes of 12-15 students
- Applied and practical research skills in data science using the R programming language
- Optional concentration areas
- A psychology faculty who value teaching, research, and service
- Two-year full time program or three-year part-time program
Taken in the second year, a two-course elective sequence provides students with advanced strategies in data analysis or expert training in topics related to the clinical sciences. Advanced elective course options include:
- Clinical Science empahsis (Course examples: Dialectical Behavior Therapy/Methods in Suicide Assessment and Risk Management, Principles and Techniques of Child/Adolescent Therapy, Acceptance and Commitment Therapy)
- Data Analysis empahsis (Course examples: Introduction to Programming in R, Advanced Techniques in Data Science).
Kristina Rodriguez '15 PsyD, '10 M.S. in Clinical Psychology
The small university setting is really great for working closely and developing professional relationships with the faculty and advisors. They really get to know what your interests and strengths are. If you are passionate, they will help you go as far as you want to go.