Salve Regina University United States

Data Science

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 5 Years
Mode On Campus
Level Undergraduate
Degree Bachelors Degree
Closing soon January 2027

Course Overview

The Data Science Bachelors Degree at Salve Regina University is designed for students eager to master the quantitative and computational skills essential for extracting meaningful insights from complex datasets. In today's information-driven world, the ability to analyze, interpret, and visualize data is paramount across nearly every industry, from business and finance to scientific research and healthcare. You will develop a strong foundation in mathematics, including calculus, linear algebra, and differential equations, alongside essential programming skills and an introduction to data science and analytics, preparing you for advanced study and impactful careers.

This full-time, on-campus program, studied over five years, integrates theoretical knowledge with practical application through required courses in computer programming, data analysis, and physics. You will gain hands-on experience with statistical theory and choose specialized electives in areas like algorithms, accounting research, or econometrics, tailoring your education to your interests. Upon graduation, you will be well-prepared for further graduate studies or to enter roles in data analytics, information management, or knowledge engineering, equipped with the analytical rigor and technical proficiency demanded by employers.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This program provides a comprehensive foundation in data science, covering essential programming skills, mathematical principles, and physics. Students will delve into data analysis and visualization, alongside core concepts in calculus, linear algebra, and differential equations. Depending on their entry year, students will further specialize in advanced mathematics or statistical theory, culminating in a choice of electives such as accounting research, algorithms, or econometrics.

1 Required courses

Computer Programming I
Computer Programming II
Introduction to Data Science and Analytics
Data Analysis and Visualization
Discrete Mathematics
Calculus I
Calculus II
Calculus III
Linear Algebra
Differential Equations
Principles of Physics I
Principles of Physics II

2 Students entering the program in an odd calendar year complete the following three courses

Geometry
Analysis I
Analysis II

3 Students entering the program in an even calendar year complete the following three courses

Abstract Algebra
Statistical Theory I
Statistical Theory II

4 All students also choose one of the following

Accounting Research and Analytics
Algorithms and Data Structures
Introduction to Econometrics

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 47,180.00
Second Year Fee Tuition fee
USD 47,180.00
Third Year Fee Tuition fee
USD 47,180.00
Fourth Year Fee Tuition fee
USD 47,180.00
Fifth Year Fee Tuition fee
USD 47,180.00
Total Program Cost Estimated total tuition
USD 235,900.00

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

Living Costs

Accommodation
USD 1,101.00 - USD 2,784.00
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 Newport Campus.

Outcomes & Employability

What happens after you graduate

96%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Accounting & AuditingAlternative Aviation Fuel & SustainabilityAviation & Air TransportDefense & Military AviationEducation Policy & AdministrationMaritime & ShippingPharmaceutical ManufacturingProduct Management & UXRegulatory & Government AffairsSupply Chain & Freight Management

Top Employers Hiring for this course

Amazon

CVS Health

Collins Aerospace

IBM

Oracle

Salve Regina University

Webster Bank

Why Study Data Science at Salve Regina University

What makes this program stand out

January 2027 Closing soon

Next intake is in January 2027

Very Fast Application response time

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

Life at Salve Regina 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 Salve Regina University

Can I work while studying?

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

Is this qualification recognised internationally?

Yes. This course is accredited by New England Commission of Higher Education.

What English language score do I need for this course?

To meet English test requirements, candidates must achieve specific scores on tests like Duolingo (overall 110) or TOEFL (overall 80). Ensure you prepare adequately to meet these standards.

What jobs can I get after studying this course?

Graduates can pursue careers as Data Analysts, Data Scientists, Business Intelligence Specialists, or Machine Learning Engineers.

What will I actually study in this course?

The Data Science program features coursework in computer science, data analytics, and mathematics. Students earn a bachelor's degree from Salve Regina and a master's from UMass Dartmouth, focusing on both data science and informatics.

When can I start — what are the intake months?

Students can begin the Data Science program in January or September. Make sure to check application deadlines related to your preferred intake month.
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