Halıcıoğlu Data Science Institute Undergraduate Financial Opportunities
The UC San Diego Halıcıoğlu Data Science Institute (HDSI) is currently offering the below financial opportunities to undergraduate students. Award eligibility will vary.
Halıcıoğlu Data Science Institute Industry-Sponsored Research Scholarship
This call is currently closed. Please check back for new opportunities.
The UC San Diego Halıcıoğlu Data Science Institute (HDSI) is an academic unit focused on fostering the emerging discipline of Data Science. Its mission includes the training and education of the next generation of leaders in Data Science. HDSI seeks to accomplish this by supporting students, scientists, and faculty in developing new data analytic methods and infrastructure, and to foster “data science thinking” in a variety of problems in science, technology, engineering, government, the arts, and humanities to solve some of the world’s most pressing problems.
About the Scholarship Program
The Halıcıoğlu Data Science Industry Sponsored Research Scholarship Program offers a unique opportunity for UC San Diego Data Science undergraduates to work closely with an industry partner and UC San Diego faculty on high-level research projects, using actual datasets and addressing a real industry data science problem.
By connecting with these real-world projects, students are able to use what they are learning in the classroom to explore new possibilities with data, ultimately broadening their educational experience, enriching their student success and preparing them for what it will be like to work in the field as a Data Scientists. Furthermore, these projects provide an excellent opportunity for relationship building between industry and our data science undergraduates, potentially leading to an internship and/or full-time employment opportunities.
The scholarships will provide opportunities for the students to work closely with a mentor to develop analytical skills, develop data science portfolios, and foster novel data-driven approaches to problem solving.
Project
About BD
BD is a global medical technology company that is advancing the world of health by improving medical discovery, diagnostics and the delivery of care. BD leads in patient and healthcare worker safety and the technologies that enable medical research and clinical laboratories. The company provides innovative solutions that help advance medical research and genomics, enhance the diagnosis of infectious disease and cancer, improve medication management, promote infection prevention, equip surgical and interventional procedures and support the management of diabetes.
The Software Technology Solutions (STS) group within BD is a global software center of excellence enabling category innovation for a wide range of business units across BD through a comprehensive portfolio of platforms, services and solutions.
Student Project Opportunities in BD STS:
We have an exciting opportunity for two Data Science undergraduate students to engage in data science projects addressing impactful and systematic problems that hospitals in the US face today, specifically Enterprise Medication Inventory Optimization and Medication Drug Diversion. Inventory optimization is pivotal for hospital networks to effectively manage and control inventory location, amount and costs across the enterprise. With rising levels of the opioid epidemic, early and accurate detection of drug diversion by clinicians is a top priority for hospital networks nationwide to mitigate patient safety risk and improve quality of care.
Students will have opportunities to work on a wide range of topics that would equip them well to tackle real world data science problems and challenges, ultimately enriching their academic experience at UC San Diego. Examples of possible opportunities include:
• Work on research problems that have long term impacts, e.g. analysis of new data sources and new features.
• Work on tooling and instrumentation improve/automate existing capabilities.
• Technology feasibility evaluations of new capabilities, such as Deep Learning, ML Flow, visualization techniques and reinforcement learning.
In addition, students will get opportunities to interact and learn from data scientists and product development teams in STS to equip them well for industry careers in data science.
Eligibility Information
The program is open to all UC San Diego students who are declared Data Science Majors or Minors and are enrolled in classes. A student may participate in at most one application per round. HDSI will pair awardees with a mentor at time of award. Undergraduates or mentors who have previously received HDSI funding are eligible for future funding.
Group applications will not be accepted.
Award Information
Each award will consist of $10,000 awarded to the student, and $2,500 in unrestricted research funds to the mentor. 2 scholarships are available in this call. Students will be notified by February 1, 2020.
Budget Information
The budget period is up to 12 months between 2/1/2020 and 1/31/2021.
There is no indirect cost associated with this program. Project scholarship funds are intended to be maximally flexible for directly benefiting the trainees. Funds may be spent for salary or stipends to augment existing pay for students, or to pay for conference travel, training costs outside UC San Diego, research allowances, supplies, and small equipment or use of facilities.
Proposal Format and Criteria
Undergraduate applicants should submit application by the announced deadline at …
or copy/paste (application link)
The submission should include the following:
Main Application:
- Name and major of the Applicant
- Completed application form
This call is currently closed.
The UC San Diego Halıcıoğlu Data Science Institute (HDSI) is an academic unit focused on fostering the emerging discipline of Data Science. Its mission includes the training and education of the next generation of leaders in Data Science. HDSI seeks to accomplish this by supporting students, scientists, and faculty in developing new data analytic methods and infrastructure, and to foster “data science thinking” in a variety of problems in science, technology, engineering, government, the arts, and humanities to solve some of the world’s most pressing problems.
About the Scholarship Program
The Halıcıoğlu Data Science Undergraduate Scholarship Program will support multidisciplinary project scholarships. The scholarships will provide opportunities for the students to work closely with a mentor to develop analytical skills, develop data science portfolios, and foster novel data-driven approaches to problem solving.
Examples of data-driven projects include applications of methods, tools, and infrastructure for heterogeneous dataset integration, machine learning, geospatial analyses, scalable computing, data visualization, data ethics, and privacy. Priority will be given to applications that employ novel and creative data scientific approaches with specific potential impact to application areas.
Eligibility Information
The program is open to all UC San Diego undergraduate students who are enrolled in classes. Priority will be given to students in the Data Science major. A student may participate in at most one application per round and cannot be a current recipient of the award. Mentors can be faculty, research scientists, project scientists, and Data Science and Engineering Master of Advanced Study students or alumni. There are no restrictions on how many projects a mentor can advise. Undergraduates or mentors who have previously received HDSI funding are eligible for future funding.
Award Information
Each award will consist of $2500 awarded to the student, and $500 in unrestricted research funds to the mentor. Up to 20 scholarships are available in this call. Students and mentors will be notified by December 15, 2019.
Budget Information
The budget period is up to 12 months between 1/1/2020 and 12/31/2020.
There is no indirect cost associated with this program. Project scholarship funds are intended to be maximally flexible for directly benefiting the trainees. Funds may be spent for salary or stipends to augment existing pay for students, or to pay for conference travel, training costs outside UC San Diego, research allowances, supplies, and small equipment or use of facilities.
Proposal Format and Criteria
Undergraduate applicants should submit proposals by the announced application deadline at here or copy/paste (https://docs.google.com/forms/d/e/1FAIpQLSfJ_GKQC4R8AxoPRn7iJFepO_1IqMPQ7oPTQEfWPThScqrqIQ/viewform).
The submission should include the following:
Main Application:
- Project Title
- Name and major of the Applicant
- Name, title, and department of the Mentor
- One-paragraph Overview of the proposed project and outcomes expected, emphasizing any unique aspects.
- Brief description of Project and Methods (1500 characters)
- One-paragraph on Project Coordination Plan (1000 characters)
- Mentor Letter of Support (Optional): Please include a letter of support if you have already identified a mentor for the proposed project. In the mentor’s letter of support, the mentor should describe the strengths of the application and their proposal, as well as details of how their mentorship will strengthen the applicant’s data science education.
- Applicant and Mentor Resumes: Up to two 2 pages each.
Award Conditions
Each mentor awardee agrees to:
- Supervise, mentor, provide guidance and direct the work of the Scholarship Trainees. Mentors should be available to meet on a regular basis.
- Follow all required UC San Diego policies and protocols (e.g., IRB, IACUC, Research Integrity, etc.).
- Spend project funds in accordance with award guidelines.
- Ensure that Trainee presents the research at the HDSI Scholarship Symposium.
- Submit a final report at the end of the award period that includes a list of publications, presentations, press releases, and follow-on grants that have resulted from the research (lead mentors who fail to submit a final report may be disqualified for further HDSI funding).
Additional information
Applications will be considered for up to one month and decisions will be announced to enable a proposed start date between the allowed budget period for the current round of awards.
