Data Analytics & Artificial Intelligence in Cancer Research
Program Overview
Cancer research increasingly relies on biomedical data, while AI and machine learning are transforming how researchers identify patterns, explore disease mechanisms, and generate new insights.
This interdisciplinary, field-based course introduces students to data analytics and AI in cancer research. Students explore how biomedical datasets reveal relationships between clinical variables, biological markers, and disease outcomes, while considering the strengths, limitations, and ethical dimensions of data-driven approaches.
Athens serves as a living learning environment where biomedical research, data science, and healthcare innovation intersect. The course combines seminars, data workshops, exercises using cancer datasets, guest lectures from biomedical researchers, and site-based academic engagement. Students gain exposure to Python-based environments, KNIME, and H2O-3 while learning to interpret and communicate data-informed insights.
Developed and delivered by the Hellenic Center for Interdisciplinary Studies and Research (HCISR) in Greece, the program provides U.S. academic credit through Arcadia University, which serves as the School of Record.
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Program Highlights
What's Included
Exclusions
Quick Details
- Summer
- Biomedical Sciences
- Computer Science & IT
- Health Sciences
- Science
- Statistics
- American
Updated Sep 2, 2026
Program Details
Learn all the nitty gritty details you need to know
Locations
- Athens, Greece
Fields & Subjects
- Biomedical Sciences
- Computer Science & IT
- Health Sciences
- Science
- Statistics
Available Terms / Availability
- Years Offered
- 2027, 2028, 2029
- Terms Available
- Summer
Eligible Nationalities
- American
Education Levels & Language
- Language
- English
- Education
- University Freshman (1st Year)
- University Sophomore (2nd Year)
- University Junior (3rd Year)
- University Senior (4th Year)
- University 5th Year or More
- Bachelor’s degree
- Master’s degree
Accommodation Options
- Apartment/Flat
- Group living
Application Procedures
- Online Application
- Deposit
- Transcript
Age Requirement
18+
Starts At
- 4 weeks: $3,250
Deposit / Application Fee
Deposit: $500
Payment Terms
- Upfront Deposit
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FAQs
Frequently Asked Questions
Get answers to all the most common questions about HCISR-Hellenic Center for Interdisciplinary Studies&Research.
Who is this program designed for?
The program is designed for undergraduate students from diverse academic backgrounds, including data science, computer science, public health, biology, biomedical sciences, medicine, health informatics, statistics, mathematics, and related fields.
Can I earn academic credit?
Yes. Participants can earn 3 undergraduate academic credits through Arcadia Abroad, which serves as the official School of Record.
Are there any prerequisites?
No formal prerequisites are required. Basic familiarity with statistics, data analysis, or introductory programming may be helpful, but it is not required.
Does the program include practical data analysis?
Yes. Students participate in guided data interpretation exercises using curated cancer datasets, examining clinical and biological variables and interpreting analytical outputs used in biomedical research.
Will students use AI and data analytics tools?
Yes. The course introduces analytical tools and machine learning methods used in biomedical research, including Python-based environments, KNIME, and H2O-3, alongside data interpretation, case studies, and AI ethics.
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