Do I need to have prior programming experience?

While students are not expected to have a deep programming background prior to matriculating, it is expected that students will have completed an introductory Python programming course OR be able to demonstrate the equivalent level of knowledge through personal/professional experience. Students lacking Python experience may still be admitted but will be expected to remediate this prior to matriculating.

Are there any math or statistics pre-requisites for the program?

The level of mathematics will vary among the students in each entering class. Most successful candidates will have completed courses up through linear algebra, with mathematical probability and advanced calculus being helpful but not expected. While students will be required to complete a course on Mathematics for Data Science as part of the required curriculum, students are expected to have a basic understanding of linear algebra concepts prior to matriculation. In particular, a basic understanding of vectors, matrices, inverses, norms, eigenvalue, and eigenvectors will be expected before the first semester.

A basic understanding of statistical practices is helpful, but not required. Students will be required to complete Essentials of Statistical Practice for Graduate Students which will provide a high-level introduction to statistical methods including R programming.

What are you looking for in a successful candidate?

We are seeking students with a degree in the foundational sciences (biology, chemistry, math or physics) or a related degree interest, who want to strengthen their knowledge of data analytics  and apply those skills to science research or development.

Is there an application fee and when is the deadline to apply?

There is no application fee, and we recommend that candidates apply by January 15, 2023 for the Fall 2023 entering class. We will accept applications thereafter on a rolling basis. Click here to access the online application system.

Who should I select as my recommenders and is there a format required for online recommendation letters?

You are required to submit three (3) letters of recommendation to be considered for admission to the MSDAS program. These should be written by professional or academic references who can speak to the quality of your previous work and your potential for success in a computational and analytical graduate program. 

Your recommenders will receive a link to submit the online recommendation and upload a formal letter of recommendation once you have supplied the recommender’s contact information in the online application system.

Are GRE scores required? What is the English language test policy for non-native English speakers?

We do not require nor collect GRE general or subject test scores.

The M.S. in Data Analytics for Science program requires non-native English language speakers to submit an official score of one of our accepted English language proficiency tests – Duolingo English Test, TOEFL or IELTS. 

Exceptions to this policy will not be granted except in the case of non-native English speakers who have completed or expect to complete a 4-year undergraduate degree in the United States. These candidates ,may use a prior score, including the test score used for the undergraduate application. Please include a copy of your prior score report in the optional materials section of the application.