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The Saint Louis University Bachelor of Science in Data Science is an interdisciplinary program supported by the Department of Computer Science and the Department of Mathematics and Statistics. The curriculum is modeled upon guidelines for undergraduate programs in data science as endorsed by the American Statistical Association's Board of Directors. Classes are small and are taught by enthusiastic instructors.
The B.S. in data science is among the most rigorous degrees offered at SLU. This program combines carefully selected computer science, statistics and mathematics courses with four semesters of practical and capstone experiences. The result is an education that is rooted in the fundamentals but also provides hands-on experience with cleaning, visualizing, analyzing and reporting on data. Students choose electives within the major to specialize more in the computer science or statistical aspects of data science.
Faculty in the data science program do research in machine learning, natural language processing, time series, topological data analysis, and in other areas of statistics, computer science and mathematics.
There are multiple research, internship and consulting opportunities for students in the data science program. Past students have done cross-disciplinary work with ArchCity Defenders, the Department of Sociology, the Department of Languages, Literature and Cultures, the Department of English and the Medical School Liver Center, while others have done work in data science itself, doing research with faculty within the Departments of Mathematics and Statistics, the Department of Computer Science and the Lincoln Lab at MIT, among others.
The SLU Data Science Club provides students with an opportunity to practice their predictive modelling in competitions. Some competitions are hosted locally by SLU solely for students at SLU, while others pit SLU students against students and professionals from across the world.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
BS
Study Level
Undergraduate
Study Mode
On Campus
The Saint Louis University Bachelor of Science in Data Science is an interdisciplinary program supported by the Department of Computer Science and the Department of Mathematics and Statistics. The curriculum is modeled upon guidelines for undergraduate programs in data science as endorsed by the American Statistical Association's Board of Directors. Classes are small and are taught by enthusiastic instructors.
The B.S. in data science is among the most rigorous degrees offered at SLU. This program combines carefully selected computer science, statistics and mathematics courses with four semesters of practical and capstone experiences. The result is an education that is rooted in the fundamentals but also provides hands-on experience with cleaning, visualizing, analyzing and reporting on data. Students choose electives within the major to specialize more in the computer science or statistical aspects of data science.
Faculty in the data science program do research in machine learning, natural language processing, time series, topological data analysis, and in other areas of statistics, computer science and mathematics.
There are multiple research, internship and consulting opportunities for students in the data science program. Past students have done cross-disciplinary work with ArchCity Defenders, the Department of Sociology, the Department of Languages, Literature and Cultures, the Department of English and the Medical School Liver Center, while others have done work in data science itself, doing research with faculty within the Departments of Mathematics and Statistics, the Department of Computer Science and the Lincoln Lab at MIT, among others.
The SLU Data Science Club provides students with an opportunity to practice their predictive modelling in competitions. Some competitions are hosted locally by SLU solely for students at SLU, while others pit SLU students against students and professionals from across the world.
Admission Requirements
80+
6.5+
Students can have equivalent qualifications such as Certificate in Industrial Arts Teaching, Diploma in Commerce or Technology, Diploma of Associate Engineer. Other English Language Requirements accepted: TOEFL with a minimum score of 550(paper-based)and a minimum score of 54 on PTE.
4 Years
Aug
Tuition fees
Domestic
52,260 USD
International
52,260 USD
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Data Science, B.S.
48 monthsProgramme duration
52,260 USDTuition Fee/year
Computer Science and Information SystemsMain Subject Area
Programme overview
Main Subject
Computer Science and Information Systems
Degree
BS
Study Level
Undergraduate
Study Mode
On Campus
The Saint Louis University Bachelor of Science in Data Science is an interdisciplinary program supported by the Department of Computer Science and the Department of Mathematics and Statistics. The curriculum is modeled upon guidelines for undergraduate programs in data science as endorsed by the American Statistical Association's Board of Directors. Classes are small and are taught by enthusiastic instructors.
The B.S. in data science is among the most rigorous degrees offered at SLU. This program combines carefully selected computer science, statistics and mathematics courses with four semesters of practical and capstone experiences. The result is an education that is rooted in the fundamentals but also provides hands-on experience with cleaning, visualizing, analyzing and reporting on data. Students choose electives within the major to specialize more in the computer science or statistical aspects of data science.
Faculty in the data science program do research in machine learning, natural language processing, time series, topological data analysis, and in other areas of statistics, computer science and mathematics.
There are multiple research, internship and consulting opportunities for students in the data science program. Past students have done cross-disciplinary work with ArchCity Defenders, the Department of Sociology, the Department of Languages, Literature and Cultures, the Department of English and the Medical School Liver Center, while others have done work in data science itself, doing research with faculty within the Departments of Mathematics and Statistics, the Department of Computer Science and the Lincoln Lab at MIT, among others.
The SLU Data Science Club provides students with an opportunity to practice their predictive modelling in competitions. Some competitions are hosted locally by SLU solely for students at SLU, while others pit SLU students against students and professionals from across the world.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
BS
Study Level
Undergraduate
Study Mode
On Campus
The Saint Louis University Bachelor of Science in Data Science is an interdisciplinary program supported by the Department of Computer Science and the Department of Mathematics and Statistics. The curriculum is modeled upon guidelines for undergraduate programs in data science as endorsed by the American Statistical Association's Board of Directors. Classes are small and are taught by enthusiastic instructors.
The B.S. in data science is among the most rigorous degrees offered at SLU. This program combines carefully selected computer science, statistics and mathematics courses with four semesters of practical and capstone experiences. The result is an education that is rooted in the fundamentals but also provides hands-on experience with cleaning, visualizing, analyzing and reporting on data. Students choose electives within the major to specialize more in the computer science or statistical aspects of data science.
Faculty in the data science program do research in machine learning, natural language processing, time series, topological data analysis, and in other areas of statistics, computer science and mathematics.
There are multiple research, internship and consulting opportunities for students in the data science program. Past students have done cross-disciplinary work with ArchCity Defenders, the Department of Sociology, the Department of Languages, Literature and Cultures, the Department of English and the Medical School Liver Center, while others have done work in data science itself, doing research with faculty within the Departments of Mathematics and Statistics, the Department of Computer Science and the Lincoln Lab at MIT, among others.
The SLU Data Science Club provides students with an opportunity to practice their predictive modelling in competitions. Some competitions are hosted locally by SLU solely for students at SLU, while others pit SLU students against students and professionals from across the world.
Admission Requirements
Tuition fees
Domestic
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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Social Work, M.S.W. in St. Louis
Social Work, M.S.W. in St. Louis
Sociology, M.S.
Sociology, M.S.
Strategic Intelligence, M.S.
Strategic Intelligence, M.S.
Teaching, M.A.
Teaching, M.A.
Women's and Gender Studies, M.A.
Women's and Gender Studies, M.A.
Executive MBA (2)
Business Administration, M.B.A. (Professional)
Business Administration, M.B.A. (Professional)
Full-Time MBA (2)
Business Administration, M.B.A. (One-Year)
Business Administration, M.B.A. (One-Year)
Arts and Humanities (6)
American Studies, Ph.D.
American Studies, Ph.D.
English, Ph.D.
English, Ph.D.
History, Ph.D.
History, Ph.D.
Philosophy and Bioethics, Ph.D.
Philosophy and Bioethics, Ph.D.
Philosophy, Ph.D.
Philosophy, Ph.D.
Theological Studies, Ph.D.
Theological Studies, Ph.D.
Theology and Health Care Ethics, Ph.D.
Business and Management (6)
International Business and Marketing, Ph.D.
International Business and Marketing, Ph.D.
Engineering and Technology (6)
Aviation, Ph.D.
Aviation, Ph.D.
Computer Science, Ph.D.
Computer Science, Ph.D.
Engineering, Ph.D.
Engineering, Ph.D.
Life Sciences and Medicine (6)
Anatomy, Ph.D.
Anatomy, Ph.D.
Biochemistry and Molecular Biology, Ph.D.
Biochemistry and Molecular Biology, Ph.D.
Biology, Ph.D.
Biology, Ph.D.
Clinical Psychology, Ph.D.
Clinical Psychology, Ph.D.
Experimental Psychology, Ph.D.
Experimental Psychology, Ph.D.
Health Care Ethics, Ph.D.
Health Care Ethics, Ph.D.
Health Outcomes Research, Ph.D.
Industrial-Organizational Psychology, Ph.D.
Integrated and Applied Sciences, Ph.D.
Medical Family Therapy, Ph.D.
Medicine, M.D.
Molecular Microbiology and Immunology, Ph.D.
Nursing Practice, D.N.P. (Post-Bachelor of Science in Nursing)
Nursing Practice, D.N.P. (Post-Master of Science)
Nursing, Ph.D.
Pathology, Ph.D
Pharmacology and Physiology, Ph.D.
Physical Therapy, Doctor of (D.P.T)
Natural Sciences (6)
Chemistry, Ph.D.
Chemistry, Ph.D.
Geoinformatics and Geospatial Analytics, Ph.D.
Geoinformatics and Geospatial Analytics, Ph.D.
Geoscience, Ph.D.
Geoscience, Ph.D.
Mathematics, Ph.D.
Mathematics, Ph.D.
Meteorology, Ph.D.
Meteorology, Ph.D.
Social Sciences and Management (6)
Curriculum and Instruction, Ph.D.
Curriculum and Instruction, Ph.D.
Education Policy and Equity, Ph.D.
Education Policy and Equity, Ph.D.
Educational Leadership, Ed.D.
Educational Leadership, Ed.D.
Educational Leadership, Ed.S.
Educational Leadership, Ed.S.
Educational Leadership, Ph.D.
Educational Leadership, Ph.D.
Higher Education Administration, Ph.D.
Higher Education Administration, Ph.D.
Law, J.D.
Law, J.D. & Health Care Ethics, Ph.D. Dual Degree
Law, J.D. (Two-Year for Foreign Lawyers)
Public Health Studies, Ph.D.
Public and Social Policy, Ph.D.
Social Work, Ph.D.