The skills that the MSSE teaches are directly transferable to other science and non-science based industries that require advanced machine learning, complex mathematical modeling and simulations, software engineering, or high-performance computing. MSSE is also an excellent preparation for students planning to pursue PhDs in the computational sciences.
Software Engineering
Computational Science
Machine Learning
Deep Learning
Data Visualization
Computational Quantum Chemistry
High Performance Computing
Leadership, Management, & Entrepreneurship
Develop Essential and In-Demand Skills
Software Engineering
- Python, C++
- Github, Version Control
- Debugging and Testing Methods
- Bash, Command Line Tools
- Relational and Non-Relational Databases
Machine Learning
- Deep Learning Networks
- Convolutional Neural Networks
- Unsupervised Learning Methods
- Ensemble Learning Methods
- Generative AI
- Distributed Machine Learning
Leadership and Entrepreneurship
- Project Management
- Leadership Theory & Organizational Dynamics
- Professional Communication
- Financial Analysis
Data Science
- Data Cleaning and Collection
- Exploratory Analysis
- Data Visualizations
- Packages: Pandas, Sklearn
- SQL
Computational Science
- Molecular Modeling
- Visualizations
- Simulation and Prediction of Molecular Properties and Interactions
High Performance Computing
- Distributed Machine Learning
- Parallel Algorithms
- Distributed Memory