University of Charleston United States

Data Analytics

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 Bachelors Degree at the University of Charleston is designed for aspiring professionals eager to harness the power of information in today's data-driven world. You will explore the critical fields of statistical analysis, data mining, data visualization, and predictive modeling, developing the essential skills to transform raw data into actionable insights. This interdisciplinary program is ideal for students aiming to make a significant impact across diverse sectors like finance, marketing, healthcare, and technology, providing a robust foundation for a career dedicated to data-driven decision-making.

You will study this program full-time on campus over four years, engaging with a curriculum that includes introductory scientific programming, computer science fundamentals, database systems, and machine learning. The syllabus highlights practical application areas and culminates in a capstone project, allowing you to apply your learning to real-world challenges. You will graduate with a comprehensive understanding of data analytics, prepared for roles in data science, business analytics, or further graduate studies, equipped to drive innovation and strategy through insightful data interpretation.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This program provides a comprehensive foundation in data analytics, beginning with introductory writing, programming, and computer science courses. Students will progress to advanced topics in mathematics, data structures, and database systems, alongside specialized data analytics subjects like machine learning and data visualization. The curriculum also incorporates application area studies, electives, and culminates in a capstone project, preparing graduates for diverse roles in the field.

1 Fall Semester

Freshman Writing I
Intro to Data Science
Computer Science I
Computer Science I Lab
Introductory Scientific Programming
College Motivation & Success

2 Spring Semester

Freshman Writing II
Calculus I
Computer Science II
Computer Science II Lab
Oral Communication (embedded)
Foundations of Character & Leadership

3 Fall Semester

Discrete Math
Data Structures
Flex Elective
Calculus II
Humanities Flex Course

4 Spring Semester

Linear Algebra
Application Area (1)
Database Systems
Probability and Statistics
Social Science Flex Course

5 Fall Semester

Probability and Statistics II
Web App Development
Elective
Computer Networks
Application Area (2)

6 Spring Semester

Data Visualization
Machine Learning
Modeling and Simulation
Application Area (3)
Social Science Flex Course

7 Fall Semester

Natural Language Processing
Co-Op Experience
Humanities Flex Course
Application Area (4)
Application Area (5)

8 Spring Semester

Capstone Project
Cryptology
Elective
Application Area (6)

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 33,490.00
Second Year Fee Tuition fee
USD 33,490.00
Third Year Fee Tuition fee
USD 33,490.00
Fourth Year Fee Tuition fee
USD 33,490.00
Total Program Cost Estimated total tuition
USD 133,960.00

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

Living Costs

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 Charleston Campus.

Outcomes & Employability

What happens after you graduate

93%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Accreditation & Assessment ServicesAdult & Continuing EducationArtificial Intelligence & Machine LearningEconomic Research & PolicyFinancial Technology (Fintech)Fintech & Mobile MoneyFood Science & TechnologyHealthcare ConsultingRoad Transport & LogisticsTax & Legal Compliance

Top Employers Hiring for this course

Apple

Bank of America

Booz Allen Hamilton

Microsoft

United State Army

United States Air Force

United States Marine Corps

University of Charleston

Why Study Data Analytics at University of Charleston

What makes this program stand out

January 2027 Closing soon

Next intake is in January 2027

Very Fast Application response time

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

Life at University of Charleston 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 at University of Charleston

Can I work while studying?

International students can work up to 20 hours per week during term time and full-time during breaks. No separate work permit is required for on-campus jobs.

What English language score do I need for this course?

To enroll, applicants must meet specific English test requirements. Acceptable tests include Duolingo with a score of 90 and IELTS with a minimum overall score of 5.5.

What jobs can I get after studying this course?

Possible job titles include Data Analyst, Business Analyst, Data Scientist, and Data Engineer.

What will I actually study in this course?

Vast amounts of data are collected every day and the need for those who can understand it is growing. Organizations are seeking professionals who can analyze and make informed decisions based on the collected data.

With a focus on extracting valuable insights from raw data, students gain expertise in statistical analysis, data mining, data visualization, and predictive modeling. The interdisciplinary nature of the program equips graduates with a versatile skill set applicable across

When can I start — what are the intake months?

The Data Analytics program has intake months in January and September. Make sure to apply ahead of these dates to secure your spot.
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