Data Science at Lakeland University

Earn Your Data Science Degree & Gain Experience

Lakeland University's Bachelor of Science in Data Science meets the needs of students and employers.

This program is highly sought-after by regional employers and will immerse students across the fields of technology, programming, statistics and data analysis, and visualization.

Data Science will prepare students to design, develop, implement, and operate complex processes and systems.

Choose From One Of Three Areas Of Emphases:

  • Business Analysis 
  • Financial Analysis 
  • Operations Analysis
Formats

Main Campus (Full-Time) Six Centers 100% Online Online Live BlendEd Live

Cooperative Education

Choose From One Of Three Areas Of Emphases

Interested in a Data Science degree from Lakeland University? Contact us today!
First Name*
Last Name*
Email*

Data Science at Lakeland University

Earn Your Data Science Degree at Lakeland University

Organizations are increasingly seeking graduates who possess the skills to enhance their predictive capabilities and mitigate risks effectively. With a Data Science degree from Lakeland University, you'll be equipped to meet these demands head-on.

Data analysis applies to a world that goes beyond business decisions. It affects everything around us. It shapes policy, enriches storytelling, and drives informed decision-making. Through our Data Science program, students will master the art of utilizing data to address pivotal questions and glean insights around everything from customer behavior, predictive analytics, pricing and payment optimization, historical performance, workflow automation ... and so much more!

Gain the expertise to navigate the data-driven landscape and make a meaningful impact by pursuing a Data Science degree at Lakeland University!

A Growing Industry

The workforce for graduates of this program is bright.

  • Wisconsin's Workforce and Labor Market Information System notes that operations research analyst is the fastest growing job market in the state, and is growing faster in Wisconsin than nationally.
  • Wisconsin ranks second in the nation, behind only Indiana, in the percentage of earnings and employees that work in manufacturing according to the U.S. Department of Commerce, Economics and Statistics. Sheboygan County ranks 25th (out of more than 3,000 counties) in the nation in the percentage of total earnings due to manufacturing.

Learning Outcomes

Students who have successfully completed a B.S. in Data Science from Lakeland University will be able to:

  • Create computer code (programming).
  • Clean and organize data (data wrangling).
  • Create data visualizations.
  • Communicate findings to various stakeholders.

CAREER OUTLOOK

WHAT ARE SOME CAREERS AVAILABLE TO ME?
Data Scientist
Information Systems Manager
Data Engineer
Data Analyst
Business Intelligence Analyst
Machine Learning Scientist
AVG. SALARY (USA)
$103,500*
AVG. SALARY (WI)
$93,830*
AVG. HOURLY RATE (USA)
$49.76*
AVG. HOURLY RATE (WI)
$45.11*

Why Lakeland?

There’s more than one way to get a college education and Lakeland offers them all. Lakeland University students have access to a variety of pathways, and each one can be customized to meet your needs. Since our founding in 1862, Lakeland University has been a leader in finding ways to help students make their dreams come true.

  • Traditional, main campus located in Sheboygan Co.
  • Six Centers located throughout the state of Wisconsin.
  • Flexible delivery formats:
    • Onsite: In class one night per week at one of our six center locations
    • Online: participate weekly when it works best for you
    • Online Live: attend live classes virtually from anywhere one night per week
    • BlendEd Live: attend classes in-person or online … you choose each week
  • Transfer up to 90-credits
  • Financial aid, scholarships and discounts are available
  • Individualized advising and career development support
  • Award-winning Cooperative Education program allows students to earn college credit for professional work experiences

Cooperative Education

Cooperative Education is all about hands-on learning outside the classroom. Students learn more by doing. They gain real-world knowledge and earn academic credit for hands-on professional work experience — and coursework is centered around these real-life experiences, situations and career goals.

Lakeland students explore their interests and, when they graduate, feel confident they will find a career in which they are passionate.

Learn More


First Time Freshman

  • Step 1: Complete an application online.
  • Step 2: Submit official high school transcripts directly to Lakeland University.

Transfer Students

  • Step 1: Complete an application online.
  • Step 2: Request official transcripts from all institutions of higher education attended to be sent directly to Lakeland University.
    • Students who have NOT completed 12 transferrable credits MUST submit official high school transcripts.

Apply Now

You may apply at any time as Lakeland University operates on a rolling admission basis with 6 start dates throughout the year. Applications will be reviewed until about two weeks before the start of each term.

Main-Campus (Full-Time)
Evening/Online (Adult)

Admission Requirements

Once your application is received, your Lakeland University admissions counselor will be in touch.

  • Lakeland University accepts a high school diploma with a cumulative GPA of 2.0 or above or the equivalent of a high school diploma.
  • Lakeland University accepts transfer students who have earned at least a 2.0 cumulative GPA and are in good standing at other accredited institutions of higher learning.
  • We review each application on an individual basis.

*Exceptions to the above admission criteria may be granted for students with a cumulative GPA range from 1.75 to 1.99 if the academic experience that resulted in the less than 2.0 GPA was more than two years ago. Furthermore, typically students with a cumulative GPA range from 1.50 to 1.75 will only be considered if the poor academic performance experience that resulted in the less than 2.0 GPA was more than five years ago. Students receiving an exception will be admitted conditionally.

Meet Our Data Science Faculty

Academic Affairs |
Main Campus (Traditional) |

Chia-Chin (Cristi) Chang, Ph.D.

Professor of Mathematics

Academic Affairs |
Main Campus (Traditional) |

Cynthia Lindstrom, Ed.D.

Professor of Computer Science

Academic Affairs |
Main Campus (Traditional) |

Kim Viglietti

Assistant Professor of Business Administration

Data Science Curriculum

Data Science major (58-59 semester hours)

Data Science Core (28 semester hours)

  • COM 111 - Fundamentals of Public Speaking
  • CPS 200 - Programming I
  • DAT 210 - Database Basics
  • DAT 442 - Data Management and Warehousing
  • DAT 445 - Systems Analysis & Design (WI)
  • DAT 452 - Information Technology Project Management
  • DAT 455 - Predictive Analytics
  • EXP 100 - Professional Protocol (1 semester hour)
  • MAT 250 - Discrete Mathematics
  • Three (3) semester hours from the following:
  • BUS 390 - Cooperative Education in Business
  • CPS 390 - Cooperative Education in Computer Science
  • DAT 390 - Cooperative Education in Data Science
  • MAT 390 - Cooperative Education in Mathematics
  • PRO 450 - Cooperative Design

One of the following emphases:

Business Analysis Emphasis (30 semester hours)

  • ACC 210 - Financial Accounting Principles*
  • BUS 225 - Lean Six Sigma
  • BUS 330 - Management Principles
  • BUS 340 - Principles of Business Finance
  • BUS 410 - Business Law I
  • BUS 491 - Business Policy and Strategy (WI)
  • DAT 301 - Introduction to Data Visualization
  • ECN 230 - Principles of Microeconomics
  • ECN 235 - Principles of Macroeconomics
  • MKT 350 - Marketing Principles

Finance Analysis Emphasis (30 semester hours)

  • ACC 210 - Financial Accounting Principles*
  • BUS 330 - Management Principles
  • BUS 340 - Principles of Business Finance
  • BUS 366 - Global Financial Markets
  • BUS 424 - Intermediate Corporate Finance
  • BUS 437 - Investment Finance
  • BUS 491 - Business Policy and Strategy (WI)
  • DAT 301 - Introduction to Data Visualization
  • ECN 230 - Principles of Microeconomics
  • ECN 235 - Principles of Macroeconomics

Operations Analysis Emphasis (31 semester hours)

  • CPS 212 - Programming II
  • CPS 313 - Advanced Programming
  • CPS 425 - Artificial Intelligence
  • DAT 318 - Computational Modeling and Visualization
  • DAT 401 - Operations Research & Optimization
  • DAT 402 - Predictive Analytics using Machine Learning (WI)
  • MAT 220 - Probability and Statistics
  • MAT 231 - Calculus I (4 semester hours)
  • MAT 320 - Applied Statistics
  • MAT 362 - Linear Algebra

* or approved substitution

Contact us to learn more about the Data Science degree at Lakeland University.

Loading...
Our site uses cookies and third-party analytics tools. Your continued use of this site indicates your consent to these services. See our privacy policy for more details. Dismiss this notice