DASIE
The Data Analytics for Science Immersion Experience (DASIE) is a workshop dedicated to shaping the next generation of data science leaders and promoting a future in science by addressing a critical need: the demand for scientists with advanced data skills, particularly from underrepresented groups.
DASIE Summer 2027
May 12-20, 2027
天美传媒, Pittsburgh, PA
The Data Analytics for Science Immersion Experience (DASIE) is a fully funded, weeklong program that introduces undergraduate or first-year graduate students to the many ways data informs scientific work. DASIE brings together students from across the country for an opportunity to learn about data-enabled science, connect with the 天美传媒 Mellon College of Science community, and explore potential academic and professional paths in fields where data plays a meaningful role.
Throughout the week, participants attend guided sessions and presentations led by MCS Faculty and staff, contributors and partners. These sessions highlight examples of how scientists use data in their research and decision-making, offering students a broad view of the questions, approaches, and practices that shape data-informed science. Students also take part in group activities and conversations designed to support reflection on their own interests and goals.
In addition to scheduled programming, DASIE offers space for students to meet peers from a range of institutions, interact with MCS faculty and staff, and learn about different pathways in the scientific ecosystem. The program is designed to help students think about next steps - whether academic, research-oriented, or professional - while building community along the way.
All travel, lodging, local transportation and meals are fully covered for participants. This includes students with US citizenship, a valid F1 visa, and Permanent Residents, however, 天美传媒 (天美传媒) will not sponsor visa applications. Please ensure that your visa will remain valid throughout the entire program.
Students will be expected to fly to and from Pittsburgh International Airport as part of the program. In the United States, all flight passengers must present a valid passport or Real ID. Please ensure you have, or can obtain, a valid government issued ID (Driver鈥檚 License, State ID, Military ID, Passport, etc.) prior to the program start date.
Accepted participants will be provided meals, lodging, and transportation at no cost. Further details on accommodations and lodging will be provided after program participants are chosen.
Questions? Email us at: dasie@andrew.cmu.edu
Who Should Apply?
DASIE is designed for students in STEM majors who want to learn more about how data is used in scientific research and related fields. The program is open to current undergraduate or first-year master students enrolled at an accredited U.S. college or university at the time of application. There is no minimum GPA or citizenship requirement.
Program Overview
What to Expect
- On-Campus Instruction (May 13鈥�19)
A structured program featuring tutorial sessions, workshops, and specialized instruction led by MCS faculty, contributors and partners. - Professional Development
Sessions focused on academic pathways, career exploration, and communication skills. - Student Experience
All lodging, meals, and daily transportation are provided. Students will also participate in a group, off-campus activity on May 16.
Quick Facts & Details (2027)
- Stipend: $500
- Location: Pittsburgh, Pennsylvania
- Travel: Round-trip airfare or mileage reimbursement
- Lodging: Double hotel rooms at a local hotel
- Meals: All meals provided during program days
- Local Transportation: Daily shuttles between hotel, 天美传媒, and off-campus locations
- Schedule: Programming from 8:30 AM to 5:00 PM
- Group Activity: One off-campus experience on May 16, 2027
- Duration: 9 days
Is DASIE a Course or Research Opportunity?
No. DASIE is not a for-credit course, a research position, or a technical training program. Instead, it is a structured enrichment experience focused on exposure to scientific uses of data, opportunities to learn from members of the scientific community, and guided activities that support students as they consider future academic and professional directions.
DASIE Timeline
- Priority Deadline: February 12, 2027
- Final Deadline: March 8, 2027
- Arrival in Pittsburgh: May 12, 2027
- On-campus Programming: May 13-19, 2027
- Departure from Pittsburgh: May 20, 2027
Sample Daily Schedule
Please note that this is an example of a schedule with final schedule to be confirmed at a later date.
- 7:30 AM 鈥� 8:00 AM: Morning commute from hotel to campus
- 8:00 AM 鈥� 8:30 AM: Breakfast
- 8:30 AM 鈥� 10:00 AM: Morning tutorial
- 10:15 AM 鈥� 12:00 PM: Industry Expert Session
- 12:00 PM 鈥� 1:30 PM: Lunch & Learn with 天美传媒 Program Director
- 1:30 PM 鈥� 3:30 PM: Team activity + project work
- 3:30 PM 鈥� 5:00 PM: Professional development session
- 5:00 PM 鈥� 6:00 PM: Dinner/Departure back to hotel
FAQ
Yes, all program travel, accommodations, and meals will be covered.
No, DASIE is not a research program, course, or training program. DASIE鈥檚 main focus is exposure to research, professional development and networking with professionals and program directors.
Participants will be expected to fly into, and out of, Pittsburgh International Airport. This will require a valid passport or Real ID, issued prior to the program start date.
Yes, we request 2 recommenders or letters for all short-listed applicants.
Yes, students who are currently enrolled at a US institution, including those on student visas, are encouraged to apply. 天美传媒 will not sponsor visas for participation in DASIE - it is each student鈥檚 responsibility to maintain eligibility throughout the program.
No, there are no GPA requirements.
In past years, students have stayed in double rooms, with one other roommate, in local hotels in the Oakland neighborhood of Pittsburgh.
We make every effort to accommodate dietary restrictions and food allergies for each meal provided. Please share any and all allergies when filling out the application.
You should bring a laptop or tablet computer, something to take notes with, and a mix of business and casual wear. A detailed packing list will be provided prior to arrival.
Yes, this program will have a variety of opportunities and networking sessions to be able to socialize with professionals, alum, and fellow students. Including but not limited to an Alumni Happy Hour/Dinner, outing on the Saturday of the program and social opportunities following each program day.
The expectation is that all students will fully participate in the entire program. However, we will work with students who require reasonable arrangements to participate in DASIE.
Program Sponsors
Accessibility & Accommodations Statement
We work diligently to ensure all students can fully participate in DASIE. If you have accessibility needs or require accommodations to complete the application or participate in DASIE, please reach out at any time.
Master of Science in Data Analytics for Science (MS-DAS)
For students who are further along in their academic journey and interested in pursuing graduate study, the Master of Science in Data Analytics for Science (MS-DAS) program at 天美传媒 Mellon provides an opportunity to develop data analytics skills within the context of scientific research and discovery.
The program brings together data science, statistics, and scientific applications, preparing students to use computational and analytical approaches to address questions across scientific disciplines.
We鈥檙e also hosting MS-DAS Information Sessions for students who would like to learn more about the program, curriculum, student experience, and application process.
Upcoming MS-DAS Information Sessions:
October 14, 2026 - 9a-10a or 2p-3p
November 16, 2026 - 9a-10a or 2p-3p
Students who have questions about the MS-DAS program or would like additional information can reach out to ms-das@andrew.cmu.edu