George Mason University United States

Data Analytics - Applied Science (B.A.S.)

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 Analytics - Applied Science (B.A.S.) at George Mason University is designed for students who hold an Associate of Applied Science (AAS) degree in a technology-related field and are eager to leverage data for informed decision-making. You will delve into the critical technologies and methodologies essential for becoming a data scientist or analyst in today's data-intensive environments. This undergraduate concentration is ideal for those aiming to excel in fields like finance, marketing, operations, and business intelligence, where understanding and interpreting large datasets is paramount for success.

You will study this program full-time on campus over four years, gaining practical skills through core requirements like Building Professional Competencies and Introduction to Research Methods, alongside specialized concentration courses in statistics and computer programming. The curriculum includes applied coursework in areas such as Scientific Data and Databases and Machine Learning for Information Sciences, preparing you for a capstone project. You will graduate with a strong foundation in data analytics, ready for diverse career paths and further academic pursuits in this in-demand field.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This Bachelor of Applied Science in Data Analytics program equips students with essential professional competencies and research methods, culminating in a capstone project. The curriculum includes foundational mathematics and statistics, programming, and data analysis techniques. Students will explore data visualization, databases, data mining, and various statistical modeling approaches through a selection of applied coursework.

1 Core Requirements

Building Professional Competencies Compulsory
Introduction to Research Methods Compulsory
Applied Sciences Capstone (Mason Core) Compulsory

2 Concentration Requirements

Introductory Calculus with Business Applications
Introductory Statistics I
Introductory Statistics II
Introduction to Computer Statistical Packages
Introduction to Exploratory Data Analysis
Discrete Structures
Introduction to Computer Programming
Introduction to Object Oriented Programming
Data Structures and Algorithms in Python
IT Project Management (Mason Core)

3 Applied Coursework (Select 9 credit hours)

Scientific Information and Data Visualization
Scientific Data and Databases (Mason Core)
Scientific Data Mining
Experimental Design
Machine Learning for Information Sciences
Applied Regression Analysis
Introduction to Biostatistics
Applied Multivariate Statistics
Nonparametric Statistics and Categorical Data Analysis
Introduction to Survey Sampling
Human Computer Interaction

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 40,420.00
Second Year Fee Tuition fee
USD 40,420.00
Third Year Fee Tuition fee
USD 40,420.00
Fourth Year Fee Tuition fee
USD 40,420.00
Total Program Cost Estimated total tuition
USD 161,680.00

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 4,200.00 - USD 6,000.00
Transport USD 1,200.00 - USD 1,800.00
Utilities & Bills USD 1,440.00 - USD 2,400.00
Estimated Total USD 6,840.00 - USD 10,200.00

Living cost estimates are based on Fairfax Campus.

Outcomes & Employability

What happens after you graduate

60%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Accounting & AuditingBlockchain & Emerging TechnologiesConsumer Finance & Credit ServicesCybersecurity & Network SecurityDevOps & Site Reliability EngineeringHardware & Semiconductor EngineeringNetworking & Internet ServicesSatellite CommunicationsSoftware Development & EngineeringWireless & Mobile Communications

Top Employers Hiring for this course

Accenture

Amazon Web Services

Why Study Data Analytics - Applied Science (B.A.S.) at George Mason University

What makes this program stand out

January 2027 Closing soon

Next intake is in January 2027

Very Fast Application response time

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

Life at George Mason 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 Analytics - Applied Science (B.A.S.) at George Mason 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 a separate permit.

What English language score do I need for this course?

To meet English proficiency requirements, submit scores from tests like Duolingo, TOEFL, IELTS, or PTE. Specific score thresholds vary by test.

What jobs can I get after studying this course?

Job titles include Data Analyst, Data Scientist, Business Intelligence Analyst, Marketing Analyst, and Operations Analyst.

What will I actually study in this course?

The Data Analytics concentration prepares students for high-demand careers as data analysts and data scientists. Key topics include data-driven decision-making in sectors like healthcare and finance.

When can I start — what are the intake months?

You can start the Data Analytics program in January or August. Choose the intake that best fits your schedule.
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