Robert Morris University United States

Statistics and 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 Bachelor of Science in Statistics and Data Science at Robert Morris University empowers you to tackle complex data challenges across diverse industries. In a world increasingly driven by data, this undergraduate degree equips you with the essential skills to extract meaningful insights, build predictive models, and communicate findings effectively. You will explore core concepts in probability, regression, and data mining, preparing you for a dynamic career where statistical expertise and computational acumen are in high demand. This program is ideal for analytical thinkers eager to make data-informed decisions.

You will study this program full-time on campus over four years, engaging with a curriculum that balances theoretical knowledge with practical application. Your learning journey will involve mastering actuarial data analysis, statistical modeling, and data mining applications, complemented by foundational courses in calculus and linear algebra. Through hands-on projects and coursework, you will develop proficiency in statistical software and data visualization techniques. Upon graduation, you will be prepared for roles such as a statistician or data scientist in fields ranging from finance and healthcare to technology and sports analytics.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This program provides a comprehensive foundation in statistics and data science, beginning with essential calculus and economics courses. Students will progress through advanced topics including linear algebra, actuarial data analysis, probability, regression, and time series. The curriculum further delves into statistical modeling, data mining, predictive analytics, and specialized areas like health care analytics, database management, and data integration.

1 Freshman Year, Fall

Calculus I
Macroeconomics
INFS 1020

2 Freshman Year, Spring

Calculus II
Fundamentals of Actuarial Science
Linear Algebra
Microeconomics

3 Sophomore Year, Fall

Actuarial Data Analysis
Probability/Statistics I
Regression
Calculus III

4 Sophomore Year, Spring

INFS Programming Course
Time Series
Probability/Statistics II

5 Junior Year, Fall

Statistical Modeling I
Data Mining Applications
Stochastic Processes

6 Junior Year, Spring

Predictive Analytics
Introduction to Financial Accounting

7 Senior Year, Fall

Health Care Analytics
Database Management
Principles of Finance

8 Senior Year, Spring

Data Integration for Analytics
Corporate Finance

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 34,360.00
Second Year Fee Tuition fee
USD 34,360.00
Third Year Fee Tuition fee
USD 34,360.00
Fourth Year Fee Tuition fee
USD 34,360.00
Total Program Cost Estimated total tuition
USD 137,440.00

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

Living Costs

Accommodation
USD 810.00 - USD 3,503.00
Food & Groceries USD 3,000.00 - USD 4,560.00
Transport USD 600.00 - USD 1,200.00
Utilities & Bills USD 960.00 - USD 1,800.00
Estimated Total USD 4,560.00 - USD 7,560.00

Living cost estimates are based on Carnot-Moon Campus.

Outcomes & Employability

What happens after you graduate

88%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Consumer Finance & Credit ServicesCreative Production & Project ManagementCybersecurity & Network SecurityEvent & Experiential MarketingHealthcare ConsultingHome Health & Long‑Term CareIT Support & Systems AdministrationMarket Research & InsightsMedia Planning & BuyingSocial Media & Community Management

Top Employers Hiring for this course

Allegheny Health Network

Erie Insurance Group

Mercer

Microsoft

PNC Financial Services Group

UPMC

Why Study Statistics and Data Science at Robert Morris University

What makes this program stand out

January 2027 Closing soon

Next intake is in January 2027

Very Fast Application response time

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

Life at Robert Morris 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 Statistics and Data Science at Robert Morris 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 approvals.

What English language score do I need for this course?

To enroll, you'll need to meet specific English proficiency requirements. Acceptable tests include Duolingo, TOEFL, IELTS, and PTE, each with set score benchmarks.

What jobs can I get after studying this course?

Typical job titles for graduates include data scientist, statistician, data analyst, and business analyst.

What will I actually study in this course?

The B.S. in Statistics and Data Science equips students with skills in data extraction and sophisticated statistical analysis. Graduates find opportunities in diverse fields like health and sports analytics.

When can I start — what are the intake months?

You can start the Statistics and Data Science program in January or August. These are the two intake months available for new students.
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