Program Overview

Data Science Program Overview

The Bachelor of Science in Data Science is a rigorous program open to students in the School of Engineering. The program requires 38 courses, including introductory, foundation, HASS, breadth, and concentration courses. The BSDS is designed both as a standalone major and a double major option for those students in Engineering who wish to add data science to an existing engineering major.

Program Requirements

The program has several requirements, including:

• The Math and Science requirement (11 courses) includes:
  • Math 32, 36, 42 or 44, 61 or 65, and 70 or 72
  • Math 165 or EE 104, Math 166
  • Two of Physics 11
  • Chemistry 1 or 16, or Biology 13
  • One of Physics 12, Chemistry 2, or Biology 14
  • A natural science elective
• The Humanities, Social Sciences, and Arts (HASS) requirement (8 courses) includes:
  • English 1 or 3
  • One course in ethics and social context (Philosophy 24 or Engineering Management 54)
  • Six courses in Humanities, Arts, or Social Sciences, with one in Humanities and one in Social Science, totaling 24 credits
• The disciplinary breadth requirement includes three courses in a related application discipline, with at least 9 credits, and requires approval from the Data Science program directors
• The Engineering requirement (2 courses) includes:
  • One course in introductory engineering (EN)
  • Either Engineering Science 2 or Computer Science 11
• The major requirement (14 courses) includes:
  • Computer Science 11, 15, 30 or 40, 135
  • One of Computer Science 136, 160 or Math 123, 125, or 126
  • Seven Data Science electives, with three numbered above 100, including:
    • A) One course in data infrastructure
    • B) One course in data analytics and/or interfaces
    • C) One course in computational and theoretical aspects of data science
    • D) Two additional courses chosen from (A)-(C) or from additional courses
  • Requirements also include a senior capstone experience, including Data Science 97 and 98 (Senior Capstone Project in Data Science I and II)

Academic Departments

The School of Engineering consists of several academic departments, including:

• Biomedical Engineering
• Chemical and Biological Engineering
• Civil and Environmental Engineering
• Computer Science
• Electrical and Computer Engineering
• Mechanical Engineering

Strategic Research Areas

The School of Engineering focuses on several strategic research areas, including:

• Energy, Water, and the Environment
• Human Health and Bioengineering
• Human-technology Interface
• Intelligent Systems
• Learning Science

Centers

The School of Engineering is home to several centers, including:

• Center for Applied Brain and Cognitive Sciences
• Center for Engineering Education and Outreach
• Center for STEM Diversity
• Center for the Enhancement of Learning and Technology
• Cybersecurity Center for the Public Good
• Initiative for Neural Science, Disease & Engineering
• Institute for Research on Learning and Instruction
• Tufts Gordon Institute
• Tufts Interdisciplinary Advanced Materials Center