2023 Data Science in Oceanography Undergraduate Summer Program

Data Science in Oceanography Undergraduate Summer Program Banner Image

2023 Data Science in Oceanography Undergraduate Summer Program

Students hacking away

2023 Data Science in Oceanography Undergraduate Summer Program

Exploring the Bio lab

2023 Data Science in Oceanography Undergraduate Summer Program

Sailing at Lake Washington

2023 Data Science in Oceanography Undergraduate Summer Program

Grad students mentoring

Data Science In Oceanography

The School of Oceanography is committed to providing undergraduate students opportunities in data-driven research in oceanography. Students participating in the summer program interact closely with faculty and graduate student mentors on data-focused research projects and learn about presentation skills, scientific writing, and graduate school applications. The program also organizes fun activities in the Seattle area, such as hiking, sailing, kayaking, and exploring the city downtown and nearby islands. All participants are provided with on-campus housing, meals, and partial travel reimbursement. Undergraduate students with programming experience and interests in oceanography are encouraged to apply. We are particularly eager to provide research and mentoring opportunities to historically underrepresented groups in STEM. 

Apply: applications will open in March 2023

2022 Summer Program (Aug 8-26) [Flyer]





  • Charlene Ruiz, UC San Diego
  • Sara Delawalla, Georgia Institute of Technology
  • Jennifer Dunstan, University of Cambridge 
  • Anuj Jain, UC San Diego  
  • Xinjin Li, University of Illinois Urbana-Champaign
  • Eddie Franco, Boise State University
  • Sandy Wu, UC San Diego
  • Jinting Liu, University of Washington
  • Yiran Li, Univerisity of Washington
  • Mariam Garcia, UC Irvine
  • Noah Barton, UC San Diego


Graduate student mentors: Katherine Qi, Zoe Krauss, Maleen Kidiwela, Cassia Cai, William Kumler, Scott Martin

Postdoctoral presenters: Yang Xiang, Marin Cornec

Faculty mentors and lecturers: Alison Gray, William Wilcock, Jodi Young, Randie Bundy, Georgy Manucharyan, Maike Sonnewald, Rick Keil

Python tutorial developers: Georgy Manucharyan, Katherine Qi, Zoe Krauss, Maleen Kidiwela, William Kumler, Scott Martin, Zachary Erickson

Special thanks to:


Simons Collaborative Marine Atlas Project

UW Yacht club


The Data Science in Oceanography program was amazing. We learned about all areas of oceanography and put it into practice using interesting coding tutorials. We joined OceanHackWeek and had the chance to work on real-life projects with people working in the field. It was also such a great group of people, and I loved exploring Seattle and doing all the fun activities organized with them. I would recommend it to anyone interested in science and research!
I really like the second week that we learned new data analysis tools and packages. I see the strong power behind creative methods to do visualization. And various panel sessions to help me know how the real industry works, in which case I know deeply how data science works in fun parts for oceanography. Besides, getting in touch with how data analysis in general oceanography fields through tutorials is extremely helpful for me to validate my skills. The mentorship is also helpful and nice! I collaborated with others on clustering projects effectively, which brings me a feeling of achievement when doing presentations.
I spent an amazing three weeks in Seattle with some great people and great oceanview! I have learned the different branches of oceanography as well as data visualization and machine learning which are super useful for my future career. I also love meeting and working with people from all around the world who share the same passion. Professor Georgy and his Ph.D. students are proficient, accessible, and patient, and they are always there to support and help you. I would highly recommend this program to people who have interests in oceanography or data science. Thank you so much for the interesting and memorable experience!
The data science in oceanography program was a really meaningful experience for me. I came in with an interest in data science and oceanography, and the program helped develop those interests by giving informative lectures on different aspects of oceanography (e.g. physical, chemical, biological etc.) and tutorials where I can apply my coding skills. I’m glad that the program had people from diverse backgrounds so that everyone could teach others something and learn something from others. The program supported and encouraged collaboration, so I worked on a project in a group. I appreciate this cooperative environment since we can bring together different perspectives and expertise to achieve better results. I benefited a lot by sharing codes, exchanging ideas with my group members, and asking for their feedback and suggestions. Not only did I expand my toolkit in terms of coding, but I also learned to think of problems in a different and potentially more efficient way. Overall, it was a meaningful experience for me and I really recommend attending this program!
This program opened my mind to the myriad of possibilities at the intersection of oceanography and data science.  I got to work hands-on with very knowledgeable mentors to solve complex and interdisciplinary problems.  Strongly recommended!
Being a rising sophomore, this program acted as a stepping stone to making research projects for me. The tutorials were well-designed and challenged my analytical skills. There was always someone from the team to help me when I was stuck. The knowledge, experiences, and skills shared by professors at UW are highly valuable to me. OceanHackWeek gave me an opportunity to collaborate with other students and work constructively. Not to mention, I enjoyed exploring Seattle with my peers.
Thank you so much for giving us a fantastic experience!!!

Frequently Asked Questions

Current undergraduate students. Those who are taking a gap year after college and have a strong interest in applying for graduate programs in oceanography are also welcome to apply.
Yes, foreign students are welcome to apply. However, the program does not sponsor US VISA or facilitate obtaining it; if accepted, foreign students would need to organize travel to the US on their own.
The dates can vary slightly from year to year, but we expect the program to be held in the first two-three weeks of August. The exact dates will be posted when the applications open.
Acceptance decisions are sent about two months before the program starts. Some students are left on a waitlist in case some of the accepted students decline.
For the 2023 cohort, we expect to have about 15 to 20 undergraduate students.
Yes! We provide on-campus housing with double-occupancy rooms unless single occupancy is requested. Meals are either included as UW dining or can be reimbursed up to the same amount.
A limited amount of travel reimbursement is available, and preference is given to those students who particularly need it. Those who are accepted will be notified of how much of the travel costs can be reimbursed.
The applications are evaluated based on several key criteria, including the applicant's interest in oceanography and data science and pursuing an academic career path, academic preparation, and programming skills.
Yes, the program tutorials are based on Python, and its basic knowledge is required.
If you’re not actively using Python at the moment, it would help a great deal if you refresh your memory on basic Python usage. The following list of general Python coding concepts would not be explained in detail during the program but will be used throughout various tutorials, so it’s better that you get accustomed to it beforehand.
  • installing new packages, loading modules, 
  • if-statements, for-loops,
  • manipulating the data stored as lists, dictionaries, and numpy arrays
  • working with data stored as pandas data frame
  • defining functions 
  • plotting basic figures with matplotlib (like plot, scatter, imshow, contourf), 
  • writing code in Jupyter Notebooks,
  • basic terminal commands for creating text files, moving files and folders around, downloading a file using url links 
  • using Git and GitHub to save all versions of your code online (this is needed as we do team projects)
The program typically runs from 9:30 a.m. to 4 p.m. on weekdays
Yes, students will be organized in groups to work on various research-related projects under the supervision of faculty and graduate student mentors.
All participants are required to adhere to the University of Washington student code of conduct.  Put simply, behave yourself as a decent human being -- you know what that means.
No, starting from 2023, the Data Science in Oceanography Undergraduate Summer Program will run independently from OceanHackWeek. Both programs contain group projects and a set of tutorials, but the key difference is that our program focuses on providing an optimal learning experience for undergraduate students, which includes educational material on oceanography and data science, strong mentorship, development of presentation and writing skills, as well as an overview and tips on the graduate school application process.
Fantastic! We always are looking for mentors and student project ideas. Please contact Georgy Manucharyan for details. 

Contact Info

Georgy Manucharyan [organizer]
Assistant Professor
School of Oceanography
University of Washington
Email: gmanuch@uw.edu
Phone: (206) 221-4879
Office: 317, Ocean Sciences Building

Su Tipple [contact for reimbursements]
Admin Assistant
School of Oceanography
University of Washington
Email: tipple@uw.edu
Phone: (206) 543-5060
Office: 105, Ocean Teaching Building