University of Utah United States

BS in 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 December 2026

Course Overview

The BS in Data Science at Shorelight University of Utah is designed for aspiring analysts and problem-solvers eager to harness the power of data. In today's world, the ability to extract meaningful insights from vast datasets is crucial across every sector, from technology and finance to healthcare and research. This program equips you with the foundational knowledge in analytical foundations, computing, and ethical considerations that underpin effective data science practice. You will develop a comprehensive understanding of how to manage, process, and interpret complex information, preparing you for a dynamic and in-demand career path.

This rigorous undergraduate degree is studied full-time on campus over four years, blending theoretical coursework with practical application. You will engage with core data science courses covering data mining, machine learning, and database systems, alongside electives in areas like artificial intelligence and visualization. The curriculum emphasizes hands-on learning, including a capstone project or thesis in your final year, allowing you to tackle real-world data challenges. Upon graduation, you will be prepared to pursue roles as a data scientist, analyst, or data engineer, contributing your analytical expertise to diverse industries.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

The BS in Data Science program provides a comprehensive foundation in core data science principles, analytical methods, and computing techniques. Students will engage with essential programming, algorithms, calculus, and statistics, alongside specialized data science courses in areas like data mining, machine learning, and database systems. The curriculum also includes opportunities for breadth and domain-specific electives, culminating in a capstone experience such as a senior project or thesis.

1 Pre-Major Requirements: Core Data Science

Intro to Comp Prog Compulsory
Intro to OOP Compulsory
Accel OOP Compulsory
Algorithms/Data Struct. Compulsory
Engineering Calculus I Compulsory
Engineering Calculus II Compulsory
Intermediate Writing Compulsory
Wrtg 3014 or 3015 Compulsory
American Institutions Compulsory
Ethics in Data Science Compulsory

2 Analytical Foundations

Discrete Structures Compulsory
Linear Algebra Compulsory
Applied Statistics 1 Compulsory
Eng. Prob Stats Compulsory
Applied Statistics 2 Compulsory
Foundations of Data Analysis Compulsory

3 Computing Foundations

Data Wrangling Compulsory
Software Practice I Compulsory
Algorithms Compulsory

4 Core Data Science Courses

Data Mining Compulsory
Machine Learning Compulsory
Database Systems Compulsory
Visualization for Data Science Compulsory

5 Elective - Data Analysis Breadth (Choose 3)

Human Computer Interactions Elective
Artificial Intelligence Elective
Image Processing Basics Elective
Intro to Probability Elective
Stochastic Processes 1 Elective
Statistical Inference 1 Elective
Statistical Inference 2 Elective
Optimization Elective
Advanced Algorithms Elective
Natural Language Processing Elective
Visualization for Scientific Data Elective

6 Elective - Data Domain (Choose 3)

7 Capstone Requirements (Choose ONE set)

Senior Capstone Design Elective
Senior Capstone Project Elective
Undergraduate Research Elective
Bachelor's Thesis Elective

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 33,670.00
Second Year Fee Tuition fee
USD 33,670.00
Third Year Fee Tuition fee
USD 33,670.00
Fourth Year Fee Tuition fee
USD 33,670.00
Total Program Cost Estimated total tuition
USD 134,680.00

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

Living Costs

Accommodation
USD 308,951.00 - USD 579,283.00
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 Utah Campus.

Outcomes & Employability

What happens after you graduate

80%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Adult & Continuing EducationBlockchain & Emerging TechnologiesCustoms, Trade & ComplianceCybersecurityHardware & Semiconductor EngineeringIT Support & Systems AdministrationNetworking & Internet ServicesQuality Assurance & TestingTransport Engineering & InfrastructureUrban Mobility & Smart Transport

Top Employers Hiring for this course

Amazon

U.S. Census Bureau

Why Study BS in Data Science at University of Utah

What makes this program stand out

December 2026 Closing soon

Next intake is in December 2026

Very Fast Application response time

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

Life at University of Utah 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 BS in Data Science at University of Utah

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 specific permits, but off-campus work needs university approval after the first year.

What English language score do I need for this course?

To meet the English language requirements, you can submit scores from tests like Duolingo, TOEFL, or IELTS. Specific score thresholds vary by test, so ensure you check the details for the one you choose.

What jobs can I get after studying this course?

Graduates can pursue roles such as Data Analyst, Data Scientist, Software Developer, Machine Learning Engineer, and Business Intelligence Analyst.

What will I actually study in this course?

This program focuses on developing skills in computer science and software engineering, crucial for building tools for data analysis. Students will also learn data processing fundamentals to make informed decisions based on various data sources.

When can I start — what are the intake months?

The BS in Data Science program has three intake months: May, August, and December. You can apply during any of these periods to start your studies.
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