Do you want to have a real impact in an area such as drug design, climate change, fighting pollution, or smart materials development?

The BSc in Chemistry with Artificial Intelligence at Dublin City University (DCU) is a cutting-edge,3-year undergraduate degree that blends core chemistry with AI technologies. Designed to meet the growing demand for scientists with interdisciplinary skills, this unique programme prepares students to work at the forefront of smart drug development, chemical data analysis, materials science, and sustainable technologies.

Whether you're passionate about solving global challenges in health, energy, or the environment, this degree equips you with the scientific knowledge and digital tools to innovate in both laboratory and computational settings.

Why Choose This Programme?

Future-Ready Curriculum – Merges traditional chemistry (organic, inorganic, physical, analytical) with data analytics, machine learning, and computational modelling.

Hands-On Experience – Access state-of-the-art labs and work on real-world chemistry and AI research projects.

Industry-Aligned Learning – Designed in collaboration with industry leaders to reflect the future of scientific research and smart technology.

Expert Academic Staff – Learn from DCU’s renowned School of Chemical Sciences and AI research centres.

Versatile Career Pathways – Open routes into pharmaceuticals, AI-driven research, green chemistry, bioinformatics, and more.

Programme Structure

Location: DCU Glasnevin Campus
Includes: Professional internship (INTRA) or research placement in Year 3

Sample Modules:

• Fundamentals of Chemistry
• Data Analytics for Scientists
• Organic and Inorganic Chemistry
• Machine Learning for Natural Sciences
• Analytical Techniques and Instrumentation
• Computational Chemistry
• Python Programming for Scientists

AI Applications in Drug Discovery & Materials Science

Learning Outcomes

Graduates of the BSc in Chemistry with Artificial Intelligence will:

• Master core concepts in chemical sciences and laboratory practices.
• Apply AI and machine learning to chemical data, research, and problem-solving.
• Use programming tools (e.g., Python) to model and analyse chemical processes.
• Design experiments and predictive models for complex scientific questions.
• Communicate findings clearly in both scientific and technological domains.

Career Opportunities

Graduates are highly sought after in fast-evolving sectors such as:

• Pharmaceutical and Biotech R&D
• Artificial Intelligence and Data Science
• Chemical and Environmental Analysis
• Materials Science and Nanotechnology
• Energy and Green Technologies
• Academic or Industrial Research

Employers include: Pfizer, Intel, Takeda, MSD, IBM Research, Teva, Analog Devices, Irish government agencies, and AI-focused start-ups.

Pathway to Further Study

Graduates may pursue:

• MSc or PhD in Chemistry, AI, Computational Science, or Materials Engineering
• Interdisciplinary research programmes in drug design, sustainability, or biomedical informatics
• Professional roles in chemical regulation or science communication

*Scholarships – Special Note*

Scholarship for Non-EU Students:

International (Non-EU) applicants are automatically considered for a €2,000 merit-based scholarship. No separate application is required. Early application increases your chances of receiving this award.