American University United States

Data Science

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 4 Years
Mode On Campus
Level Undergraduate
Degree Bachelors Degree
Closing soon January 2027

Course Overview

The Data Science Bachelors Degree at American University is designed for students eager to tackle complex challenges in the modern world, where data is central to innovation and decision-making across all sectors. You will explore the critical interplay between statistics, computer science, and ethics, developing a robust understanding of how to extract meaningful insights from vast datasets. This program is ideal for those who possess strong analytical skills and a curiosity for uncovering patterns, preparing you for a dynamic career in an increasingly data-driven society.

This undergraduate program is studied full-time on campus over four years, blending foundational knowledge with practical application. You will engage with core areas such as statistical programming in R, statistical machine learning, and data science essentials, alongside crucial ethical considerations from fields like neuroethics or business ethics. Through a capstone project and elective choices, you will tailor your learning, culminating in a degree that equips you with the quantitative and computational expertise sought after in roles ranging from data analyst to machine learning specialist.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This Data Science program provides a comprehensive foundation in statistical principles and computational techniques. Students will explore basic and intermediate statistics, statistical programming in R, and essential data science concepts. The curriculum also incorporates crucial elements of ethics and communication, with a focus on online influence, culminating in a capstone project. A range of electives allows for specialization in areas such as machine learning, advanced mathematics, and specialized statistical applications.

1 Statistics (4 credit hours)

Basic statistics
Basic statistics with calculus
Introduction to business statistics

2 Intermediate Statistics (3 credit hours)

Intermediate statistics
Biostatistics

3 Data Science Essentials (13 credit hours)

Introduction to computer science I
Statistical programming in R
Data science
Statistical machine learning

4 Ethics (3 credit hours)

Neuroethics
Neuroethics
Journalism ethics
Ethical and legal issues in computing
Literature and the ethical life
Business ethics
Ethics in the professions
Bioethics
Power, privilege, and inequality
Persuasion, power, and responsibility: ethics and rhetoric

5 Communication and Online Influence (3 credit hours)

Communicating economics
Politics and policy in the digital age
Politics and the internet
Communicating science to the public
Social networking, social media, and web 2.0
Digital leadership and strategy
Organizational and social network analytics
Fundamentals of marketing and business for communications
Foundations of digital marketing

6 Capstone (3 credit hours)

Regression

7 Electives (9 credit hours)

Data science applications
Python for data science
Applied natural language processing
Advanced machine learning
Introduction to game theory
Introduction to game theory
Calculus I
Calculus II
Linear algebra
Calculus III
Differential equations
Probability
Foundations of mathematics
Advanced calculus of several variables
Mathematical logic
Geometry
Abstract algebra
Rings and fields
Number theory
Cryptography
Real analysis
Measure theory and integration
Scientific programming with Python
Competitive mathematics
Information theory
Topology
Complex analysis
Partial differential equations
Tools of scientific computing
Harmonic analysis
Numerical analysis: basic problems
History of mathematics
Advanced topics in mathematics
Introduction to mathematical statistics
Introduction to survey sampling
Advanced biostatistics
Topics in biostatistics
Statistical software
Data analysis with statistical software
Spatial data analysis
Introduction to stochastic processes

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 60,270.00
Second Year Fee Tuition fee
USD 60,270.00
Third Year Fee Tuition fee
USD 60,270.00
Fourth Year Fee Tuition fee
USD 60,270.00
Total Program Cost Estimated total tuition
USD 241,080.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Accommodation
USD 1,200.00 - USD 2,000.00
Food & Groceries USD 3,600.00 - USD 5,400.00
Transport USD 840.00 - USD 1,440.00
Utilities & Bills USD 1,200.00 - USD 2,040.00
Estimated Total USD 5,640.00 - USD 8,880.00

Living cost estimates are based on Washington Campus.

Outcomes & Employability

What happens after you graduate

91%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Accreditation & Assessment ServicesAdult & Continuing EducationCorporate Training & DevelopmentEarly Childhood & Primary EducationEdTech & E-LearningEducational Support ServicesHigher Education & UniversitiesSecondary & High School EducationSpecial & Inclusive EducationVocational & Technical Training

Top Employers Hiring for this course

City Teaching Alliance

Why Study Data Science at American University

What makes this program stand out

January 2027 Closing soon

Next intake is in January 2027

Very Fast Application response time

American University typically responds to applications within 1 - 2 days, giving you clarity on your options quickly.

Life at American University in United States

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about Data Science at American University

Can I work while studying?

International students can work up to 20 hours per week during term time and full-time during breaks. On-campus work doesn't require separate permits.

What English language score do I need for this course?

To enroll, students must meet specific English proficiency requirements: a Duolingo overall score of 120, a TOEFL overall score of 85, an IELTS overall score of 6.5, or a PTE overall score of 60.

What jobs can I get after studying this course?

Data Analyst, Statistician, Data Scientist, Business Intelligence Analyst, Machine Learning Engineer.

What will I actually study in this course?

The Data Science (BS) program equips students with vital skills in statistical and computational tools. It features a technical core alongside coursework in the student's selected application area.

When can I start — what are the intake months?

The Data Science program has two intake months: January and August. Prospective students should plan accordingly to apply in time.
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