Overview

Additionally, they will be able to program on their own and use common libraries to implement solutions to solve data problems. They will have the experience of applying their knowledge and skills in a practical research or industrial setting.

The Data Science degree offered by Washington University in St. Louis of study is a collaboration between the Department of Mathematics and Statistics in Arts & Sciences and the Department of Computer Science & Engineering in the McKelvey School of Engineering.

Key Features

The mission of the McKelvey School of Engineering at Washington University in St. Louis is to promote independent inquiry in engineering research and education with an emphasis on scientific excellence, innovation and collaboration without boundaries.

McKelvey Engineers produce new knowledge that changes the world, and the faculty are educating students to explore and create in a world we cannot yet imagine. Through research and education, we are making a positive impact on the local community, the country and the world.

As an engineering school, we need to adapt to the changing environment and to prepare the students to explore, create, and succeed in a world we cannot yet imagine.

To address these needs, we have embarked on a five-year strategic plan that draws on the existing strengths to prepare students for the challenges ahead.

Among the steps we’ve taken are launching new interdisciplinary programs in highly relevant areas including imaging sciences, data sciences, materials science, cybersecurity and combined programs with math and business.

Programme Structure

Courses include:

Computer Science

Data Science

Data Structures and Algorithms

Data Manipulation and Management

Machine Learning

Machine Learning and Pattern Classification

Multivariate Statistical Analysis

Key information

Duration

Full-time
- 48 months

Start dates & application deadlines

Starting 2027-08-25 00:00:00
- Apply before 2027-01-02 00:00:00

Language

English

TOEFL^® IBT

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Credits

120 SCH

Delivered

On Campus

Campus Location

Saint Louis, United States

Disciplines

Data Science & Big Data View 459 other Bachelors in Data Science & Big Data in United States

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

TOEFL^® IBT

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Other requirements

General requirements

If you apply for admission, you will need to submit detailed information about your previous education, including:

Original academic transcripts or certified copies

A description of the grading system

Examination results (IGCSE, HKCEE, predicted A-Levels, national exams, etc.)

School-leaving certificates

Certified English translations of all of the above

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

68240 USD / year

≈ 68240 USD / year
Out-of-State

68240 USD / year

≈ 68240 USD / year
Domestic

Applies to you

In-State

68240 USD / year

≈ 68240 USD / year

Living costs

Saint Louis

United States

1015 - 1530 USD / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

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Scholarships Information

Below you will find Bachelor's scholarship opportunities for Data Science.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

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