Bachelor of Data Science at Stanford University

Stanford University

United States of America, Stanford

University Rank:#3

The Data Science at Stanford University is a Full Time Bachelor program offered at the university's main campus in Stanford , United States of America. The program is delivered on campus in English and can be completed in 4 years. Students develop academic knowledge and practical skills that prepare them for future careers in this field. Tuition fees are USD 19,231 / term, and the next available intake starts on June 24, 2126.

About Bachelor of Data Science

Mission of the Undergraduate Program in Data Science

The mission of the undergraduate program in Data Science is to provide students with an analytical and quantitative foundation for tackling data-driven problems in science, industry, and society. Data science is an interdisciplinary field that combines computational and inferential reasoning to extract knowledge or insights from data for use in a broad range of applications. It synthesizes the most relevant parts of foundational disciplines in order to solve particular classes of problems or applications. As more data and new ways of analyzing data become available, our economy, society, and daily life will become even more dependent on our ability to systematically learn from data.

Students pursuing the B.A. in Data Science and Social Systems will develop a rigorous understanding of methods and approaches from computer science, statistics, and the social sciences, and will learn to apply technical tools to address substantive problems in that domain. They will develop multiple fluencies: in computational methods, in the domain knowledge and applications of social science broadly, and in the moral and political frameworks that shape social systems. The B.A. in Data Science and Social Systems is an ideal major to prepare students for work in the technology sector and a range of industries that require integrating quantitative thinking with an understanding of human behavior or public policy, or for careers in the public and social sectors where data-intensive approaches are prized.

B.A. Degree Requirements

Data Science and Social Systems majors will complete an introductory course, courses in a set of core areas, a practicum in which they apply data science skills to a well-defined problem, and a pathway in a particular area of concentration. To declare this major, students should select the B.A. in Data Science and the Social Systems subplan. There are three parts to the core: quantitative (math, computation, statistics, and optimization), behavioral science (psychology, sociology, political science, and economics), and ethics. In addition, the introductory course to the major and the capstone will provide students with real-world examples and opportunities to apply modern computational and statistical techniques to address key social challenges. Interdisciplinary thinking is essential for data-driven analysis of complex social problems, and the program is designed to prepare students with superb technical training and in-depth knowledge of the social sciences.

Learning Objectives

Students in the Data Science Program are expected to achieve the following learning outcomes. These learning outcomes are used both in evaluating students and the undergraduate program. By the time they graduate, majors are expected to:

Frame questions of interest from a variety of disciplines in quantitative terms and identify what data types might be useful in addressing them.
Demonstrate familiarity with the key statistical, mathematical, and computational concepts and use them appropriately to solve quantitative problems.
Appraise the major ethical questions that arise in the collection, analysis, and use of data for decision-making based on quantitative reasoning.
Convey quantitative analysis and technical results to a wide audience, effectively communicating the uncertainty associated with their conclusions, and taking care to assure the reproducibility of results.

Additionally, students in the Bachelors of Arts in Data Science - Social Systems major are expected to:

Integrate traditional theoretical approaches from the social sciences and engineering with modern computational tools to frame, understand and analyze social-scientific problems. Specifically, students will be able to:
5.a) Develop analytical approaches to address unstructured and multifaceted problems.
5.b) Design and employ experimental and quasi-experimental approaches to understand causal effects in the social sciences.
5.c) Implement and apply statistical analyses and machine learning algorithms using modern software engineering principles.
5.d) Draw correct inferences from data with an appreciation for the assumptions and limits of quantitative methods.
Understand frontier research and practice at the intersection of data and social science as it relates to key social, political, and economic issues.

Disciplines

Data Science

Requirements and Admission Criteria for Bachelor of Data Science at Stanford University

Entry Requirements

At Stanford, we practice holistic admission. Each piece in your application is part of an integrated and comprehensive whole.

One piece tells us about your background and life experiences, another about your school and your academic achievement. We learn from others about your character and intellectual contributions. In your essays, we learn about your ideas and interests, and what is meaningful to you.

Each year we aim to enroll a class of diverse backgrounds and experiences, talents, academic interests, and ways of viewing the world.

In a holistic review, we seek to understand how you, as a whole person, would grow, contribute and thrive at Stanford, and how Stanford would, in turn, be changed by you.

Academic Excellence

The primary criterion for admission to Stanford is academic excellence. We look for your preparation and potential to succeed. We expect you to challenge yourself throughout high school and to do very well.

The most important credential for evaluating your academic record is your high school transcript. Please know that our evaluation goes beyond any numerical formula. There is no minimum GPA or test score, nor is there any specific number of AP or honors courses you must have on your transcript in order to have your application reviewed or be admitted to Stanford.

For more complete information on our curriculum guidelines for first-year students, please visit our Academic Preparation page.

Intellectual Vitality

We want to see your commitment, dedication and genuine interest in expanding your intellectual horizons, both in what you write about yourself and in what others write on your behalf. We want to see the kind of curiosity and enthusiasm that will allow you to spark a lively discussion in a first-year seminar and continue the conversation at the dinner table. We want to see the energy and depth of commitment you will bring to your endeavors, whether that means in a research lab, as part of a community organization, during a performance or on an athletic field. We want to see the initiative with which you seek out opportunities and expand your perspective.

Extracurricular Activities

Learning about your extracurricular activities and nonacademic interests helps us understand your potential contributions to the Stanford community. Students often assume our primary concern is the number of activities in which a student participates. In fact, an exceptional depth of experience in one or two activities may demonstrate your passion more than minimal participation in five or six clubs. You may also hold down a job or have family responsibilities. These are as important as any other extracurricular activity. In general, we want to understand the impact you have had at your job, in your family, in a club, in your school or in the larger community, and we want to learn of the impact that experience has had on you.

In some cases, exceptional abilities in athletics may influence our decision if the applicant is otherwise well qualified, but such abilities never, by themselves, ensure admission to Stanford.

Context

Just as no two Stanford students are the same, each applicant to Stanford is unique. This means that as we review each application, we pay careful attention to unique circumstances. We take into account your background, educational pathway, and work and family responsibilities. By focusing on your achievements in context, we evaluate how you have excelled in your school environment and how you have taken advantage of what is available to you in your school and community.

It is important to know these variables are not listed in order of importance in our evaluation and selection process. We review applications holistically. No portion of the application is considered without the rest of the application.

English Requirements

TOEFLMin 100

Tuition and Fee Information for Bachelor of Data Science at Stanford University

Tuition Fee

19,231 / term

Application Fee 90

How to Apply for Bachelor of Data Science at Stanford University

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Click Finalize and Pay only when you are completely satisfied with your application and before 11:59 p.m. Pacific Time on your program’s application deadline. You may not edit your application after submission.

Bachelor of Data Science at Stanford University

Stanford University

United States of America, Stanford