1. In the field of natural resources, it has great advantages:
The Department of Computer Science at Brown University provides industry-leading high-performance computing for every student. Every master student can use the shared CS company office equipped with computer host and adapter. In addition, students with this degree can use every research laboratory of Brown University.
2. At the research direction level:
The computer major of computer science graduate students in Brown University has professional skills in all walks of life, including optimization algorithm and algorithm design, artificial intelligence technology, automatic logical reasoning and planning, computational biology, network information security, cryptographic algorithm, intelligent management system of database system, distributed architecture, agent, graphics and data visualization, human-computer interaction, natural language understanding, Internet, computer operating system, tube bundle programming, computer language, automation technology and so on.
3. In the field of curriculum:
The master's course in computer science is suitable for students who are looking forward to improving their computer professional skills, and it is also very suitable for students who are looking forward to laying the foundation for further graduate life. Brown University's Master of Computer Science program provides two branches, namely learning and training, which are limited to academic and research, so that everyone can customize students' learning and training to match their specific ideals and experiences.
How many years do you study for graduate students in data science at Washington University? Graduate student in data science, University of Washington, studying 1.5 years. This project is an interdisciplinary technical major, which is jointly established by top teachers from six first-class departments and colleges in Washington and top entrepreneurs who want to recruit data science talents. It is dedicated to make students fully understand the theoretical knowledge of management methods, modeling and data visualization in big data technology to meet the technical professional requirements of today's companies. The projects are all STEM projects. Students will learn many theoretical knowledge such as statistical analysis and modeling, database management, machine learning algorithms, big data visualization and so on.
Graduate students in data science at the University of Washington are dedicated to helping students who want to start or improve their personal careers in the field of data science. The project includes two teaching methods, full-time and part-time during the day, to provide students with practical skills, and experts teach students rigorous technical courses. The course begins in autumn and is taught on the campus of Washington University every night.
This major and industry-related courses provide students with professional skills to obtain meaningful views from macro data information. Here, students will learn theoretical knowledge such as statistical analysis and modeling, database management, machine learning algorithm, big data visualization, software development, research design and customer experience to meet market demand.
Current situation of data science courses in the University of Washington: The experts of the Master of Science program in data science in the University of Washington teach students to acquire professional knowledge ability from the centralization of large and medium-sized data, chaos and heterogeneous data, and promote students to obtain technical professional judgments needed by employing companies and institutions. Its main course contents are:
Data5 1 1 data science data visualization
Data 556 Introduction to Statistics. Probability statistics and probability overview
Data Data 598 Theme Data Science Data Science
Data 5 14 data management data management method of data science
Data 557 applies statistics and information. Experimental Design Applied Statistics and Experimental Design Scheme
Data 5 15 data science software design data science development software
Statistical machine learning algorithm for learning information of data 558
Data 5 12 People-centered data science People-oriented data science
Data 5 16 extensible data system and algorithm extensible information system and optimization algorithm
DATA590CapstoneProjectPlanning Practice Activity Project Scheme
Data 59 1 vertex projection practice activity project execution