Molecular Modelling

Molecular Modelling at University College London offers students a comprehensive understanding of the principles and applications of computational techniques to explore and predict the behavior of molecules at the atomic and molecular levels. This innovative programme combines principles from chemistry, physics, and computer science to equip students with the knowledge and skills necessary to simulate molecular systems, analyze their properties, and contribute to advancements in fields such as drug discovery, materials science, and nanotechnology. Throughout the course, students will learn how to utilize various molecular modelling software and methods, including quantum mechanics, molecular dynamics, and Monte Carlo simulations, to investigate molecular interactions, conformations, and reactions.

The programme emphasizes both theoretical foundations and practical applications, ensuring graduates are well-prepared to tackle real-world challenges in research and industry. Aside from core coursework, students will engage in laboratory sessions and computational projects that foster hands-on experience with state-of-the-art tools and techniques. The curriculum is designed to develop critical thinking, problem-solving, and analytical skills, encouraging students to approach complex molecular problems with a scientific mindset.

Students will also have opportunities to participate in cutting-edge research activities, collaborating with faculty members who are leaders in the field of molecular modelling and computational chemistry. The programme often includes seminars, workshops, and guest lectures from industry professionals and academic experts, exposing students to the latest developments in molecular modelling and related disciplines.

Graduates of this programme will be equipped to pursue careers in academia, pharmaceuticals, biotech industries, and technology companies where modelling and simulation are pivotal. They will possess a solid foundation in the principles of molecular simulation and the ability to design and interpret computational experiments. Overall, the MSc in Molecular Modelling at UCL offers an intellectually challenging environment that prepares students to become innovative scientists and technology developers shaping the future of molecular research and applications.

Students will gain detailed knowledge and skills in molecular modelling, focusing on the state-of-the art simulation techniques employed to research the molecular level properties that determine the macroscopic behaviour of matter. They will also gain key research skills and will learn the basic concepts in business and entrepreneurship as applied to high-tech industries.

Students undertake modules to the value of 180 credits.

The programme consists of two core modules (45 credits), three optional module (45 credits) and a research project (90 credits).

Core modules

Students take the two modules listed below (45 credits) and submit a research dissertation (90 credits).

• Simulation Methods in Materials Chemistry
• The Scientific Literature

Optional modules

Students take 45 credits drawn from the following:

• Mastering Entrepreneurship
• Numerical Methods in Chemistry
• Researcher Professional Development
• Transferable Skills for Scientists
• Choice of one postgraduate lecture module at UCL

Dissertation/report

All students undertake a computational research project which culminates in a substantial dissertation of approximately 10,000 to 12,000 words.

Teaching and learning

The programme is delivered through a combination of lectures, seminars and laboratory classes. Assessment is through unseen examination, coursework, individual and group projects, poster creation, presentation and the research project.

A minimum of a second-class Bachelor's degree in a science or engineering discipline from a UK university or an overseas qualification of an equivalent standard.

Students can be self-funded or find sponsorship from funding agencies such as research councils, the European Union, industry or charities.

There are also a number of Graduate School Scholarships and departmental bursaries and prizes available.

The MSc in Molecular Modelling at University College London (UCL) is a comprehensive postgraduate program designed to equip students with a deep understanding of computational techniques used to study molecular systems. This programme focuses on the application of theoretical and computational chemistry, quantum mechanics, and molecular dynamics to solve complex biological and chemical problems. Students enrolled in this course gain expertise in various software tools and programming languages essential for molecular modelling, simulations, and data analysis. The curriculum includes core modules such as Quantum Chemistry, Molecular Dynamics, and Computational Statistical Mechanics, alongside optional modules allowing students to specialise in areas like drug design, material science, or biomolecular modelling.

The programme often combines lectures, practical sessions, and supervised research projects that foster hands-on experience. These projects typically involve real-world problems, potentially collaborating with pharmaceutical industries, research labs, or academic partners to provide valuable insights into molecular interactions, structure prediction, and thermodynamics. The teaching faculty includes internationally recognized researchers in computational chemistry and related fields, providing students with access to cutting-edge research and industry practices.

Graduates of the MSc in Molecular Modelling are well-prepared for careers in pharmaceuticals, biotechnology, chemical industries, or academic research. The course also serves as a stepping stone for further PhD studies in related disciplines, offering a solid foundation in both theoretical and practical aspects of molecular modelling. UCL's location in London provides students with numerous opportunities for networking and engagement with key scientific institutions and industry leaders. The programme is typically delivered over one year full-time or part-time options, allowing flexibility for students with professional commitments. Admission requirements generally include a relevant undergraduate degree, such as in chemistry, biochemistry, physics, or related disciplines, along with proficiency in quantitative subjects and relevant laboratory skills.