The Graduate Certificate in Data Science (DS) requires 4 graduate-level courses and is designed to offer the state-of-the-art Data Science training to a wide range of students who are currently pursuing graduate training in a discipline that is outside EECS or those that are seeking post-baccalaureate training to enhance their skill in Data Science, examples include Masters and Ph.D. students working on computational physics, computational chemistry, quantitative genetics, geoinformatics, or environmental modeling.
Requirements for EECS students entering the program are:
- ECS 268: Programming II or experience with object oriented programming and large programs
- MATH 290: Elementary Linear Algebra or equivalent
- MATH 526 or EECS 461: Applied Mathematical Statistics or equivalent; or consent from the instructor.
Requirements for students outside EECS:
- The target students of this graduate certificate are graduate students on Lawrence Campus who are doing research that is directly related to data science. Examples include Masters and Ph.D. students working on computational physics, computational chemistry, quantitative genetics, geoinformatics, or environmental modeling, among others.
- Those that have strong quantitative training (math and statistics).
- It is expected that you have some programming experience and prior exposure of large programs through research.
Fall Priority Deadline: March 1
Spring Priority Deadline: October 1
Applicants must complete an application to Graduate Studies for admission into the certificate program and submit an application fee along with the following materials:
- Copy of Official Transcripts
- Statement of Purpose
- Three Letters of Recommendation
- TOEFL scores (international applicants)
See the Graduate Studies website for the application procedure and fees.