Bachelor of Science degree with a major in Computer Science: Data Science

4 Years On Campus Bachelors Program

University of Washington

Program Overview

The Bachelor of Science in Computer Science with a focus on Data Science at the University of Washington is designed for students who are passionate about harnessing the power of data to solve real-world problems. This program is perfect for those who enjoy mathematics, programming, and analytical thinking, providing a solid foundation in computer science while specializing in data analysis, machine learning, and statistical methods.

 

Curriculum Structure:

In the first year, students will dive into foundational courses such as "Introduction to Computer Programming" and "Mathematics for Computer Science," which establish essential programming skills and mathematical concepts. Additionally, "Introduction to Data Science" introduces students to the field, covering data manipulation and visualization techniques that are crucial for any aspiring data scientist.

During the second year, the curriculum becomes more specialized with courses like "Data Structures and Algorithms" and "Statistical Methods for Data Science." These classes deepen students' understanding of algorithmic thinking and statistical analysis, equipping them with the tools needed to handle complex data sets and derive meaningful insights.

In the third year, students will engage in advanced topics through courses such as "Machine Learning" and "Database Management Systems." Here, they will learn about predictive modeling and data storage solutions, gaining hands-on experience with real-world data challenges and preparing them for practical applications in the field.

In the final year, students will focus on capstone projects and electives like "Big Data Analytics" and "Data Visualization." This year emphasizes the integration of knowledge and skills acquired throughout the program, allowing students to work on comprehensive projects that showcase their ability to analyze and interpret large data sets effectively.

Focus Areas: Data Analysis, Machine Learning, Statistical Methods, Data Visualization, Big Data Technologies

Learning Outcomes: Proficiency in programming languages, ability to analyze and interpret complex data, skills in machine learning algorithms, and expertise in data visualization techniques.

Professional Alignment (Accreditation): The program is accredited by the Computing Accreditation Commission of ABET, ensuring that it meets high standards of quality and relevance in the field of computer science.

Reputation (Employability Rankings): The University of Washington consistently ranks among the top universities for employability, with QS World University Rankings placing it in the top 20 for Computer Science and Information Systems.

Experiential Learning (Research, Projects, Internships etc.)

At the University of Washington, the BS in Computer Science with a focus on Data Science offers students a unique opportunity to gain practical skills through hands-on experiences. The program emphasizes experiential learning, allowing students to apply theoretical knowledge in real-world scenarios. With access to state-of-the-art facilities and cutting-edge tools, students are well-equipped to tackle complex data challenges.

 

Here are some key aspects of experiential learning in the program:

- Collaborative Projects: Engage in group projects that simulate real-world data science problems, fostering teamwork and communication skills.
- Internship Opportunities: Benefit from strong industry connections that provide access to internships with leading tech companies, enhancing your resume and professional network.
- Research Labs: Work in specialized labs such as the Paul G. Allen School of Computer Science & Engineering, where you can collaborate on innovative research projects.
- Software and Tools: Gain proficiency in industry-standard software and programming languages, including Python, R, SQL, and various data visualization tools.
- Field Trips: Participate in field trips to tech companies and data science conferences, offering insights into industry practices and trends.
- Libraries and Resources: Utilize the extensive resources at the UW Libraries, including access to databases, journals, and research materials specific to data science.
- Data Science Institute: Engage with the UW eScience Institute, which focuses on advancing data science research and education, providing additional learning and networking opportunities.

These experiences not only enhance your academic journey but also prepare you for a successful career in data science. 

Choosing the BS in Computer Science with a focus on Data Science at UW means you're not just learning; you're actively participating in the future of technology.

Progression & Future Opportunities

The Bachelor of Science in Computer Science with a focus on Data Science at the University of Washington prepares students for a dynamic career in a rapidly evolving field. Graduates often find themselves in high-demand roles such as Data Analyst, Machine Learning Engineer, Data Scientist, and Business Intelligence Developer. With the increasing reliance on data-driven decision-making across industries, the opportunities for graduates are both abundant and lucrative.

 

Here’s what you can expect in terms of progression and future opportunities:

- University Services: The Career & Internship Center offers personalized career coaching, resume workshops, and job fairs that connect students with top employers in the tech industry. Additionally, the Data Science program provides access to mentorship from industry professionals.

- Employment Stats and Salary Figures: According to recent data, over 90% of graduates from the Computer Science program secure employment within six months of graduation, with starting salaries averaging around $85,000 per year, depending on the role and location.

- University–Industry Partnerships: The University of Washington has established partnerships with leading companies such as Amazon, Microsoft, and Boeing, providing students with internship opportunities and real-world projects that enhance their learning experience.

- Long-term Accreditation Value: The program is accredited by the Computing Accreditation Commission of ABET, ensuring that the education you receive meets the highest standards of quality and relevance in the field.

- Graduation Outcomes: Alumni from the program have gone on to work at prestigious organizations and have been recognized for their contributions to innovative projects in data science and technology.

Further Academic Progression: After completing the BS in Computer Science with a focus on Data Science, students have the option to pursue advanced degrees such as a Master’s in Data Science, Machine Learning, or even an MBA with a focus on analytics. This further education can open doors to leadership roles and specialized positions in the tech industry, enhancing both career prospects and earning potential.

Choosing to study at the University of Washington not only equips you with the technical skills needed in today’s job market but also connects you with a vibrant community and a wealth of resources to support your career journey.

Program Key Stats

$13406
$13406
$44640
$90
EA, ED1
Aug Intake : RD 15th Nov EA/ED 15th Nov


45%
No

Eligibility Criteria

AAA - A*A*A
3.7 - 3.9
40 - 42
90 - 95

1150 - 1350
31 - 32
6.5
90
Optional
No

How US Universities Assess Applicants

Career Options

  • Data Scientist
  • Data Analyst
  • Machine Learning Engineer
  • Data Engineer
  • Business Intelligence Analyst
  • Statistical Analyst
  • Quantitative Analyst
  • Data Science Consultant
  • Research Scientist
  • Artificial Intelligence Engineer

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