Data Science

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 2 Years
Mode On Campus
Level Postgraduate
Degree Masters Degree
Closing soon January 2027

Course Overview

The Master of Science in Data Science at the University of Nebraska at Omaha is designed for aspiring data professionals seeking to advance into leadership roles through specialized expertise. You will explore critical themes in data organization, manipulation, cleaning, and visualization, alongside advanced data analytics and strategies for managing massive or imperfect datasets. This interdisciplinary program draws on thought leaders across business, information technology, and mathematics, preparing you to understand the value of data and create impactful data products within a dynamic professional landscape.

This postgraduate degree is studied full-time on campus over two years, offering a flexible and innovative curriculum. You will engage with core modules in introductory data science, exploratory data visualization, data analysis tools, and research foundations, with the option to specialize in one of five concentration areas. Throughout your studies, you will develop practical skills through projects and potentially a thesis, culminating in a comprehensive understanding of data science methodologies. You will graduate prepared for diverse career paths in data-driven industries, equipped with the analytical and technical acumen employers seek.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This course provides a comprehensive introduction to the field of data science, covering essential concepts and practical applications. Students will explore core topics such as data visualization, quantitative analysis, and the tools necessary for effective data analysis. The curriculum also delves into business forecasting, information and data quality management, and foundational research principles to equip students with a robust skill set for data-driven decision-making.

1 Core Courses

Introduction to data science
Exploratory data visualization and quantification
Tools for data analysis
Business forecasting
Information and data quality management
Research foundations

2 Concentration

3 Exit Requirement (Project or Thesis)

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 18,474.00
Second Year Fee Tuition fee
USD 18,474.00
Total Program Cost Estimated total tuition
USD 36,948.00

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

Living Costs

Accommodation
USD 1,127.00 - USD 3,090.00
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 Manhattan Campus.

Why Study Data Science at University of Nebraska at Omaha

What makes this program stand out

January 2027 Closing soon

Next intake is in January 2027

Life at University of Nebraska at Omaha 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 University of Nebraska at Omaha

Can I work while studying?

International students can work up to 20 hours per week during the term and full-time during breaks without needing separate permits. Off-campus work may be allowed after the first year with university approval.

What English language score do I need for this course?

To enroll, applicants must meet specific English proficiency requirements. Acceptable tests include Duolingo, TOEFL, IELTS, and PTE, each with its own score thresholds.

What jobs can I get after studying this course?

Graduates can pursue various job titles such as Data Analyst, Data Scientist, Business Intelligence Developer, Data Engineer, and Machine Learning Engineer.

What will I actually study in this course?

This interdisciplinary program focuses on data organization, analytics, and visualization, among other key themes. It is designed to be completed in 24 months and aims to equip students for leadership roles in data science.

When can I start — what are the intake months?

The Master of Science in Data Science program has intakes in January and September each year. Make sure to prepare your application materials in advance for these months.
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