Master of Molecular Science and Software Engineering
Online professional master’s program focused on teaching scientists to use computation and machine learning to solve real-world problems in the sciences and beyond.
A Berkeley Quality Education
Berkeley’s Colleges of Chemistry and Engineering are consistently ranked among the top in the nation and the world by many measures.
#2 U.S. graduate Chemistry Programs
#2 U.S. graduate Computer Science Programs
U.S. News & World Report rankings 2023
The MSSE’s online learning experience provides students with the opportunity to earn a UC Berkeley-quality education from anywhere in the world—no visa application required! Courses are delivered online through both live sessions and asynchronous content.
Students also get the Berkeley campus experience with a 2-week, in-person bootcamp at the start and end of the degree.*
*Fully online options are available.
Transform your Science Degree
UC Berkeley’s MSSE prepares you for careers in computational science, data science, machine learning, and software engineering. The program is designed to train students with backgrounds in chemistry, physics, biology, engineering, computer science, or from other physical science disciplines.
Develop In-Demand Skills
Invest in Your Career
Average Starting Salary $119,850
Machine Learning Engineers
Average Starting Salary $124,742
Average Starting Salary $110,035
Average Starting Salary $117,928
Transform Science-Based Industries
The MSSE’s curriculum teaches computational molecular science with a focus on advanced machine learning, complex mathematical modeling and simulations, software engineering, and high-performance computing. These skills are increasingly used across a wide range of science-based industries including:
Solving Global Challenges
Some of the world’s largest challenges can be addressed at the molecular level and computational molecular science will be a key component in this endeavor.
- Eco-friendly materials and chemical processes
- Low-carbon generation of hydrogen and other related energy carriers
- Renewable bioplastics
- Carbon Capture technologies
- Decarbonising the synthesis of chemical feedstocks
- Exascale computing to better model the world climate system
- Improved solar cells
- New battery technologies
Food and Water Security
- Increased crops yields
- Reduced pest associated losses
- Increased nutritional values of foods
- New water treatment technologies to meet the growing demand for dwindling supplies
Health & Aging
- Drug discovery
- New therapeutics
- Individualized medicine
- Biocompatible materials
- Improved testing & screening
- Better understanding of biological processes
Computational molecular science is becoming widely used in the chemical, biochemical, and material sciences. Traditional material-development processes can take 10 to 20 years to bring a new material to market. Computational science has the potential to dramatically cut the time it takes to move a molecule or material from the lab to a product.
Computational Science Harnesses computers and mathematical modeling to understand and solve complex problems in science and engineering. Its applications can range in size from the interaction of individual atoms to the behavior of weather systems and galaxies.
Molecular Science Molecular science seeks to explore the properties and interactions of molecules at atomic, molecular, supramolecular, and system levels to develop new materials and useful interactions that solve real-world issues such as disease, world hunger, renewable energy, and environmental problems. Molecular science unifies the fields of chemistry, physics, biology, and the material sciences.
Computational Molecular Science Combines software engineering and theoretical molecular science to model, analyze, and simulate molecular structures, properties, and interactions. The field uses specialized hardware and software, algorithm design, and large-scale data management to perform algorithmically complex, data-intensive modeling and analysis tasks.
As computational power continues to grow rapidly and as more advanced software tools and techniques become available the importance of computational molecular science to industrial and academic research will continue to grow.
High Performance Computing (HPC) HPC enables the processing of complex calculations that use large amounts of data at high speeds. HPC typically involves using hundreds or sometimes thousands of computers or processors in parallel. This allows users to run large analytical computations, with millions of scenarios, that can use terabytes of data. HPC is used extensively in the computational molecular sciences.
Computational Science in the News
Go Beyond the Sciences
While the MSSE degree focuses on the molecular sciences, the skills it teaches are in high demand by other science and non-science based industries. Jobs in Data Science are predicted to grow by 31% over the next 10 years*. New jobs for Individuals with skills in artificial intelligence, advanced machine learning, and high performance computing are expected to be in even greater demand with 12 million new jobs being created across 26 countries by 2025.**
Non-science based industries where individuals with skills in advanced machine learning, complex mathematical modeling and simulations, software engineering, or high-performance computing are in high demand include:
*US Bureau of Labor 2021
** World Economic Forum, Future of Jobs Report 2020
Figures based on 2022 US Stock Exchange Industry Sector Market Capitalization
Applications for Fall 2023 are open & due January 27th, 2023. Apply