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B.S. Data Analytics

44 credit hours
95% career outcome rate1

Student-to-faculty ratio

In an increasingly data-driven world, everyone should be able to understand the numbers that govern our lives. Whether or not you want to work as a data analyst, being “data literate” can help you excel in your future career field. The data analytics program at Concordia University, Nebraska can help you explore key principles and techniques of data science, such as quantitative critical thinking and algorithms for machine learning methods. You can also discover different ways in which data analytics is deployed in fields such as healthcare, marketing, political science and criminal justice.

Concordia Nebraska’s data analytics program is a concentration within the mathematics major which will equip you with strong technical skills, able to solve challenging problems through a data-driven lens. After graduation, you will be prepared for further education or to pursue a career as a data scientist or data analyst, or, if you prefer, to apply an analytical lens to the career field of your choice, wherever your passions lie.

With the Lutheran, Christian community that Concordia’s classes offer, you’ll learn to apply the science of data and analytics not only to real-world applications, but also incorporate your faith into every aspect of your time on campus. Throughout your data analytics program, you’ll be exposed to topics showcasing the applicability of data science to everyday life, to deepen and encourage your understanding of the material. Concordia’s program also focuses on your future vocations, so you can see how what you learn in class applies to various fields, and how you can apply that when applying for data careers in your chosen industry.

Data Analytics Courses

Program Differentiators

Core Concepts

The data analytics program at Concordia University, Nebraska helps develop students as analytical thinkers, who understand qualitative and quantitative data and who can use their God-given talents to become leaders in their field.

Key Differentiators

The data analytics program at Concordia University, Nebraska allows you to be part of a program that has a commitment to excellence and engaged faculty that equip you and your fellow students to go through life-changing experiences together on paths to a positive future.

Discover what makes the Concordia Nebraska data analytics program different

Concordia NebraskaData Analytics: Learning Objectives

Students in the data analytics program at Concordia University, Nebraska will be able to evaluate and apply fundamental statistical concepts in the context of a broad range of data problems, including Bayes Theorem, common statistical tests and biases, inference and causal inference and hypothesis testing.

Students will be able to perform in-depth exploratory data analysis to form hypotheses and use visualization techniques to communicate insights.

Students will be able to design experiments to answer causal questions and evaluate the results of the experiments.

Students will be able to apply and evaluate machine learning algorithms in a business problem context, with an emphasis on selecting predictive modeling when appropriate.

Students will be able to perform feature engineering and data preprocessing to improve the accuracy and efficacy of predictive data models.

Concordia NebraskaData Analytics: Program Goals


Students in the data analytics program at Concordia University, Nebraska will develop comprehensive skills in data analysis, quantitative critical thinking and experimental design.


Students will learn to use industry-standard tools for data analytics (Python, Pandas, Jupyter Notebooks) to perform and present simple data analysis.


Students will understand how to design a range of data-driven experiments and effectively collect, sample, clean and analyze data sets.


Students will learn to effectively communicate, both orally and in writing.

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Data Analytics Faculty

Concordia’s data analytics faculty and instructors are experts in their fields and bring years of experience to the classroom.

Meet the faculty

Concordia NebraskaData Analytics: FAQs

Concordia Nebraska Data Analytics: Career Outcomes

Data Analyst

Data analysts identify problems for their organization, collect and organize information and analyze the data to explain their findings and suggest solutions based on their research. Data analysts typically work in business, healthcare, logistics or related fields.

25% Annual Growth Rate2
$48,690 Entry-Level Salary2
$82,360 Mid-Level Salary2
$160,850 Late-Level Salary2

Data Scientist

Data scientists are responsible for overseeing the collection and interpretation of data for organizations. As a data scientist, you might be in charge of sifting through data points to create organized categories, comparing data points to current company processes and writing reports outlining business predictions and solutions.

20% Annual Growth Rate2
$74,210 Entry-Level Salary2
$131,490 Mid-Level Salary2
$208,000 Late-Level Salary2

Concordia NebraskaData Analytics: Related Programs



A bachelor of science degree in marketing from Concordia University, Nebraska will acquaint you with major marketing concepts and practices. You will develop the skills you need to effectively position your company as an industry leader and efficiently reach target audiences.

Explore the Marketing Major



Studying mathematics can help you develop basic skills such as arguing logically and rigorously, thinking abstractly, formulating and solving problems, analyzing data, and creating and analyzing mathematical models. As a math major, you will find yourself in demand by employers for careers in a wide spectrum of fields.

Explore Mathematics at Concordia


Computer Science

Concordia University, Nebraska’s computer science program is designed to help you meet current and future challenges in technology- and application-related fields. Here, you can gain a strong fundamental foundation with an emphasis on practical functions of theoretical concepts.

Discover the Computer Science Program

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1 Recent graduates attending graduate school or employed within six months of graduation.

2 Career salary and wages sourced from the U.S. Bureau of Labor Statistics.