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Become a Critical Part of Any Business with a Data Analytics Degree Online

Using data to inform business decisions is critical to the success of organizations. And as businesses become smarter, more efficient and savvier at predicting future opportunities and risks through data analysis, the need for professionals in this field continues to rise – and with it, so does the value of a Bachelor of Science in Data Analytics.

University of Michigan Science's data analytics degree online program will position you to capitalize on this critical business requirement, and by doing so, you can become crucial to finding the solutions for organizational challenges.

Why earn a data analytics degree at UMS?

  • Median annual salary of $88,190 for statisticians and mathematicians*
  • 33% projected job growth for statisticians and mathematicians through 2026*
  • Master industry-standard tools like Python, SQL, Tableau, SAS and R for scripting, data manipulation, visualization and statistical analysis
  • Create a digital portfolio of your projects to share with employers
  • Take advantage of student support that includes tutoring in math, statistics and programming
  • Multiple term starts throughout the year - complete your degree at your own pace
  • 24/7 online accessibility - attend class when and where it's convenient
  • One of the lowest tuition rates in the nation

Earn math credits for what you already know: Save time and tuition with our Pathways to Math Success assessments. Show your knowledge of the materials in your program's math courses, and you could earn up to 6 math credits – at less than $50 for each course assessment.

See Yourself Succeed in Data Analytics

The undergraduate data analytics degree online combines facets of business, information technology and mathematics using data mining, simulation and optimization. You’ll use industry-standard tools – like Python, SQL, Tableau, SAS and R – that focus on scripting, data manipulation, visualization and statistical analysis.

In addition to learning data navigation, validation and techniques, you’ll develop the soft skills necessary to be a vital decision-maker within an organization. Communication, storytelling, problem solving, visualization – your degree can help you succeed in all aspects of a data analysis role.

Upon earning your BS in Data Analytics, you'll be able to:

  • Identify and define data challenges in a variety of industries
  • Collect and organize information from many sources
  • Communicate with workers and subject-matter experts who are involved in both the broad-based and industry-specific situations
  • Examine data and determine what is relevant and how to analyze it
  • Use statistical analysis, simulation and optimization to analyze data and develop applicable, real-world solutions
  • Advise decision-makers and stakeholders on the best courses of action
  • Communicate findings and recommendations for managers, executives and other officials

To launch your data analytics career, you’ll compile work throughout your degree program for a data analytics portfolio. And to ensure that you fully understand the hard and soft skills needed to become an effective data analyst, UMS offers data students extensive support like online tutoring.

As a private, nonprofit university, UMS has one mission – to help you see yourself succeed. The benefits of earning your bachelor’s in data analytics at UMS include:

  • Affordability. Take advantage of some of the most affordable tuition rates in the nation
  • Convenience. Attend class when it’s convenient for you – online education means 24/7 access
  • Efficiency and flexibility. Complete your undergraduate degree at your own pace, over six 8-week terms per year
  • Expert instruction. Learn from instructors with relevant, real-world experience
  • Networking. Tap into our nationwide network of alumni for internship and career opportunities
  • Simple application process. Just fill out an online undergraduate application, and we’ll retrieve U.S. transcripts from your previous institutions and automatically complete an official credit evaluation. Plus, there’s no application fee
  • Student support. Count on the ongoing support of dedicated academic and career advisors specialized in your area of study
  • Transfer-friendly enrollment. Transfer up to 90 credits toward an undergraduate degree

Career Outlook

Upon completion of the data analytics degree online bachelor's program, you can explore a wide range of career options across public, private and nonprofit sectors, including market researcher, statistician, data miner, analyst and information technology specialist.

According to the U.S. Bureau of Labor Statistics, demand for mathematicians and statisticians tops the list at 33% growth through 2026.* The need for operations research analysts is projected at 27%, and market research analyst growth is projected to see 23% growth.*

Curriculum

The curriculum for UMS's undergraduate data analytics degree was created to address the onslaught of data that organizations face every day. Each course was designed to prepare you for a particular element of a successful data analytics career.

The bachelor's in data analytics coursework combines data mining and structure with modeling and communication to build a broad and thorough education that will serve you well throughout your career. In addition, students can elect to learn SAS or SQL modeling techniques.

At UMS, we give you access to the technology you need for your courses – and your career. Learn more about our easy-to-use virtual environments.

New students are eligible to participate in Pathways to Match Success, a math assessment that allows you to earn math credits toward your degree. Learn more today..

Courses To Prepare You For Your Career

NHU's bachelor's in data analytics program includes:

  • General education
  • Degree-specific courses

General Education Program

Our programs are designed to equip you with the skills and insights you need to move forward. In recent years, employers have stressed the need for graduates with higher order skills - the skills that go beyond technical knowledge - such as:

  • Writing
  • Communication
  • Analysis
  • Problem solving

MAT 136 - Introduction to Quantitative Analysis, MAT 140 - Precalculus and MAT 243 - Applied Statistics for Science, Technology, Engineering, and Mathematics (STEM) are dictated courses for the general education program.

All bachelor's students are required to take general education classes. Through foundation, exploration and integration courses, students learn to think critically, creatively and collaboratively, giving you the edge employers are looking for.

Courses May Include

Calculus I: Single-Variable Calculus
Calculus is the mathematical study of change that has widespread applications in science, engineering, economics and business. This course provides a rigorous introduction to single-variable calculus. Topics include limits, continuity, differentiation and integration of algebraic, trigonometric, exponential, and logarithmic functions, applications of derivatives, and integration, including the Fundamental Theorem of Calculus. This course will encourage students to think beyond memorizing formulas and to work towards understanding concepts

Program Outcomes

  • Integrate appropriate tools and technology in the development of analytical algorithms and models that meet various business and industry requirements
  • Employ accurate and detailed analysis throughout the life cycle of data analytics initiatives to ensure the integrity and validity of reports
  • Evaluate requirements and specifications of business problems to recommend possible solutions provided by data analytics initiatives
  • Apply appropriate data warehousing and database management solutions to meet the security, quality, storage, and privacy needs of organizations
  • Apply quantitative techniques, including probability, statistics, optimization, and simulation to deploy appropriate models for prediction and analysis
  • Collaborate on multi-functional teams throughout the life cycle of data analytics initiatives to improve the quality and input of projects
  • Protect the integrity and privacy of data, organizations, and consumers through technology solutions and ethical practices in all aspects of the profession
  • Design and deliver presentations, reports, and recommendations that effectively translate technical results and are coherent and persuasive to a variety of stakeholders internal and external to an organization
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