Data Science Degree Option

Data Science Degree Option

The Data Science degree option is part of the Bachelor of Science in Human Centered Design & Engineering degree program.

All students interested in pursuing HCDE's Data Science degree option should contact the academic adviser.

What is Data Science?

The emerging field of Data Science encompasses a broad set of interdisciplinary skills including data management, programming, statistics, machine learning, visualization, and human-centered design. In today's workforce there is increasing demand for a new class of data scientists with expertise in managing, modeling, and visualizing the massive, noisy, and heterogeneous datasets that arise across many areas of science and industry.

The University of Washington has become a leader in the inclusion of human-centered skills in Data Science curriculum. The Data Science degree option in the Department of Human Centered Design & Engineering will educate undergraduate students in all aspects of the field of Data Science, increase their marketability in the workplace, and enable them to contribute to solutions to the many critical data-intensive problems in the world today.

Requirements for the Data Science Degree Option

To meet the requirements for the Data Science option, students must take a minimum of 25 credits from the approved list of courses:

  1. HCDE 411 Information Visualization (5)
  2. SOC 225 Data and Society (3/5)
  3. CSE 143 Computer Programming II (Note: this course satisfies the Engineering Fundamentals requirement and is not included in the overall credit requirement)
  4. One course from each of the following Data Science course areas, listed below.​
    1. Machine Learning
    2. Data Management
    3. Statistics

Students take additional approved HCDE elective courses to reach the overall electives requirement.

Data Science Course Areas

Machine Learning

  • CSE 416 Introduction to Machine Learning (4)
  • INFO 371 Advanced Methods in Data Science (5)
  • STAT 435 Introduction to Statistical Machine Learning (4)

Data Management

  • CSE 414 Introduction to Database Systems (4)
  • INFO 430 Database Design and Management (5)

Statistics

  • STAT 390 Statistical Methods in Engineering and Science (4)
  • STAT 403 Introduction to Resampling Inference (4)
  • STAT 425 Introduction to Nonparametric Statistics (3)