BE Computer Science and Engineering in Data Science

4 Years On Campus Bachelors Program

University of Washington

Program Overview

Offered by the Paul G. Allen School of Computer Science & Engineering, the Data Science Option within the Bachelor of Engineering in Computer Science and Engineering (CSE) equips students with the computational, mathematical, and software skills necessary to extract knowledge from massive data sets and build intelligent systems. The program merges the foundational elements of computing with data-driven problem-solving techniques to address complex societal challenges.

The Allen School is widely recognized as one of the top 10 computer science programs in the U.S. according to U.S. News & World Report. Students benefit from access to cutting-edge labs, research initiatives, and industry connections in the Seattle tech hub.

Computer Science & Engineering in Data Science:
This specialized option trains students to build data-driven systems using advanced computing techniques. Emphasizing AI, scalable computing, data management, and algorithmic thinking, it prepares graduates for high-impact roles in technology, research, and engineering.

General Education Requirements:

  • Basic Skills: English composition, quantitative reasoning

  • Areas of Inquiry: Natural World, Individuals & Societies, Arts

Major Requirements:

  • Mathematics: Calculus, linear algebra, probability, statistics

  • Core Computer Science: Programming, data structures, algorithms, software engineering, systems

Data Science Option:

  • Modern Artificial Intelligence and Machine Learning

  • Data Management for Data Science

  • Software Design for Data Science

  • Scalable Data Systems and Algorithms

Advanced Electives (examples):

  • Machine learning

  • Computer vision

  • Natural language processing

  • Data mining

  • Robotics

  • Computational biology

Free Electives:

  • Additional coursework to meet the 180-credit requirement

Prerequisites:

  • Core coursework in programming, math, and systems

  • Several courses require prior knowledge of Python, linear algebra, and statistics

Experiential Learning (Research, Projects, Internships etc.)

  • Hands-on projects in machine learning and big data systems

  • Access to robotics, AI, and computer vision labs

  • Opportunities for undergraduate research and industry internships

  • Participation in capstone projects, hackathons, and open-source collaboration

  • Access to Seattle-based internships through partnerships with Amazon, Microsoft, Meta, and more

Progression & Future Opportunities

  • Graduates are highly sought after in tech, healthcare, finance, and academia

  • Strong preparation for graduate studies in CS, AI, or Data Science at top universities

  • Alumni employed at leading firms like Google, Microsoft, NVIDIA, Amazon, and national research labs

  • Supported by career services, faculty mentorship, and industry-sponsored projects

  • Admission is capacity-constrained and highly competitive, especially for transfer and continuing students

Program Key Stats

$41,997
$ 80
Aug Intake : 15th Nov


45 %
No
Yes

Eligibility Criteria

AAA - A*A*A
3.5 - 4.0
38 - 42
90 - 95

1400 - 1550
32 - 35
6.0
76

Additional Information & Requirements

Career Options

  • Data Scientist
  • Machine Learning Engineer
  • Data Engineer
  • Software Engineer (Data)
  • Big Data Analyst
  • AI/ML Researcher

Book Free Session with Our Admission Experts

Admission Experts