This program provides students with the knowledge and skills to engage in the design of artificial intelligence (AI) systems, based on data science (DS) and machine learning (ML) applications, providing a critical understanding of the role that humans play through the data processing pipeline.
As engineering solutions turn more and more toward automation and the use of AI, the need for practitioners who understand the critical role of human decision making in automated system design is greater than ever. This program will be of value to students interested in engineering, data science and computer science with a desire to build human-AI systems.
The program draws on courses in human factors engineering and data science. Students will be prepared to engage in AI system development, guiding the design of human data collection, feature extraction and system implementation efforts.
- Human Factors of Data Science
- Data Science in Python
- Introduction to Machine Learning and Data Mining
- Big Data
A 100-level elective course chosen from the following:
- Human Factors in Product System Design
- Human Factors in Human Machine Systems
- Analytic Methods in Human Factors
- Behavioral Statistics for Engineering
- Application Fee
- Personal Statement
- Official TOEFL or IELTS, if applicable
- One Letter of Recommendation
About the School
The Tufts University School of Engineering offers a rigorous engineering education in a unique environment that blends the intellectual and technological resources of a world-class research university ... Read More