Overview

The B.Sc. in Mathematics - Data Science at Oral Roberts University provides students with a sophisticated understanding of numerical analysis and computational techniques. This programme integrates classical mathematical principles with contemporary data science methodologies to prepare graduates for complex problem-solving in various professional sectors.

Students enrolled in this course benefit from a curriculum that emphasises both theoretical depth and practical application. By mastering advanced statistical tools and algorithmic thinking, learners develop the capacity to interpret vast datasets and generate actionable insights for modern organisations and research institutions.

Why Mathematics - Data Science at Oral Roberts University?

Choosing this programme allows students to engage with a curriculum that bridges the gap between abstract mathematics and real-world data challenges. The university provides a supportive learning environment where students can refine their technical skills while developing the ethical framework necessary for responsible data management and analysis.

The department focuses on small class sizes and personalised attention, ensuring that every student receives the guidance required to excel in high-level quantitative subjects. This approach fosters a collaborative atmosphere where aspiring data scientists can thrive and prepare for the demands of the international job market.

Tuition Fee Breakdown

International fee: USD 36250 per year
National fee: USD 36250 per year
Local fee: USD 36250 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

Modules may include:

Calculus
Linear Algebra
Probability and Statistics
Discrete Mathematics
Differential Equations
Data Structures
Numerical Analysis
Mathematical Modelling
Statistical Machine Learning

Careers with Mathematics - Data Science

Graduates of this programme are well-equipped for diverse roles in technology, finance, and healthcare. The analytical skills gained during the course are highly sought after by employers looking for experts who can navigate the complexities of big data and predictive modelling.

Common career paths include positions such as data analysts, quantitative researchers, and statistical consultants. The rigorous training ensures that alumni are prepared to enter competitive graduate schemes or pursue further academic research in specialised fields of mathematics and computational science.

Programme Structure

Courses include:

Data Science
Computing
Artificial Intelligence
Big Data and HPC
Data Structures
Computing Ethics

Key information

Duration

Full-time
- 48 months

Start dates & application deadlines

Starting 2027-01-13 00:00:00
- Apply before 2026-12-15 00:00:00 , International
Starting 2027-08-21 00:00:00
- Apply before 2027-05-01 00:00:00 , International

Language

English

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Credits

120 SCH

Delivered

On Campus

Campus Location

Oklahoma City, United States

Disciplines

Mathematics Data Science & Big Data View 470 other Bachelors in Data Science & Big Data in United States

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Academic requirements

GPA

2.6

English requirements

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Other requirements

General requirements

Application fee
2.6 GPA; 20 ACT; 1030 SAT; 66 CLT
Transcripts

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

36250 USD / year

≈ 36250 USD / year
Out-of-State

36250 USD / year

≈ 36250 USD / year
Domestic

Applies to you

In-State

36250 USD / year

≈ 36250 USD / year

Living costs

Oklahoma City

United States

911 - 1456 USD / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

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Scholarships Information

Below you will find Bachelor's scholarship opportunities for Mathematics - Data Science.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

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