Tag: online MS in applied statistics

MTU Online Graduate Program Webinars Continue in Fall 2025.

A woman attending a Michigan Tech Global Campus Third Thursday Info Session takes notes while at her computer.

Want to learn more about Michigan Tech’s online graduate programs. What sets them apart from the rest? Have the chance to speak to–and have the undivided attention of–program directors? Then drop by in Fall for a 45-minute Third Thursday virtual information sessions from Michigan Tech Global Campus.

These online webinars, which launched in March 2025, are continuing for the Fall 2025 semester. Previous sessions have featured other popular online graduate programs offered through Michigan Tech Global Campus. They were the Tech MBAⓇ, engineering management, civil engineering, manufacturing engineering, and geographic information science.

When you attend one of these sessions you will hear about

  • key reasons for earning this certificate and/or degree from Michigan Tech
  • exciting trends in the discipline and/or fields
  • opportunities and career trajectories that an advanced degree could open up
  • the online program’s content, structure, and course delivery
  • important deadlines and program start dates

Advisors will also answer questions about admissions requirements and the application process.

First For Fall 2025: MTU’s Online Graduate Programs in Cybersecurity

In Fall 2024, the College of Computing launched the Online Foundations of Cybersecurity certificate. And they recently followed up with the Online MS in Cybersecurity.

These online graduate programs meet a pervasive and urgent demand. That is, in the last decade or so, cyber attacks have grown in sophistication, frequency, and size. In fact, according to US News, “Data breaches and ID theft are still hitting records.” Also, vehicle electrification, robotic workplaces, and Industry 4.0 offer new targets for cybercriminals and new challenges for cybersecurity professionals. And as organizations move to cloud environments and the IoT (Internet of Things) continues to proliferate, cybersecurity professionals must work even harder to safeguard infrastructures and predict possible vulnerabilities.

What all these changes mean is that there is a strong demand for cybersecurity specialists. According to Cyberseek, “employers in the private and public sectors deployed 514,359 job listings over the past 12 months.” These job listings were for cybersecurity jobs and adjacent technical positions with a heavy cybersecurity skills requirement. This BIG number is definitely good news: it represents an increase of nearly 57,000 listings, or 12%, over the previous 12-month reporting period.

These programs add to the roster of MTU’s already respected cybersecurity research program. In fact, the US National Security Agency designated MTU as a National Center of Academic Excellence in Cyber Research (CAE-R). This CAE-R designation extends through the 2029 academic year. Also impressive: MTU is a National Center of Academic Excellence in Cyber Defense (CAE–CD) as designated by the National Security Agency (NSA). MTU is the only university in Michigan that holds both of these designations.

You can get details about this program and speak to subject matter experts by dropping by on Thursday, Sept. 18, 2025, at 11:30 AM (ET).

On Deck for October: The Online MS in Applied Statistics

Alternatively–or maybe as well as–join us on Thursday, October 16, at 11:30 AM (ET) for an info session on MTU’s Online Master of Science (MS) in Applied Statistics.

If you haven’t heard of this discipline, applied statistics is the practical use of statistical theories, methods, and tools to solve real-world problems across a variety of fields. These fields include science, engineering, business, healthcare, social sciences, and beyond. Applied Statistics, in short, involves gathering, analyzing, and interpreting data to uncover patterns, guide decision-making, and provide evidence-based answers to complex questions.

Today’s applied statisticians don’t just rely on traditional techniques. That is, they often harness the power of advanced tools like machine learning, predictive modeling, and big data analytics. These professionals work in a wide range of environments: from public health departments and research labs to tech companies, financial institutions, sports organizations, and universities.

For instance, in 2024, applied statisticians played a key role in managing supply chains disrupted by global instability. Take the Red Sea shipping crisis, which required companies to adapt. And fast. Companies such as Maersk and Amazon used predictive analytics and statistical modeling to reroute logistics and minimize delivery delays. By analyzing large datasets in real time—including shipping patterns, port capacity, and geopolitical data—statisticians helped reduce economic impacts and improve operational resilience.

When you attend this session, you’ll dive into this discipline. You’ll also learn how Michigan Tech’s Online Master of Science in Applied Statistics gives you the skills to meet the growing demand for data-savvy professionals.

Closing Out the Semester: MTU’s Online Graduate Programs from Mechanical and Aerospace Engineering

Mechanical engineering is undergoing a profound transformation, which is driven by rapid advances in aerospace engineering, digital technology, materials science, and systems integration. No longer confined to traditional roles in manufacturing or product design, today’s mechanical engineers are working at the crossroads of aerospace, AI, autonomous systems, robotics, energy systems, and biomedical innovation.

Also, the rise of smart materials, autonomous vehicles, and cyber-physical systems is blurring the lines between mechanical, electrical, and computer engineering. For instance, many engineers are now expected to master tools like finite element analysis (FEA), machine learning, and embedded systems. They might also need, at some point, to collaborate with data scientists, biologists, and software developers. In other words, mechanical engineering is becoming more interdisciplinary, connected, and critical to solving the world’s most complex problems.

MTU’s online graduate engineering programs have evolved with these changes. On Thursday, Nov. 20, subject-matter experts will unpack the details of the Online MS in Mechanical Engineering. They’ll also highlight other online popular graduate certificates, such as the Safety and Security of Autonomous Cyber-Physical Systems.

You’ll learn more about how you can choose a certificate or a degree that leverages both your previous experience and academic education.

Drop by at 11:30 AM. Bring your enthusiasm and your questions.

While you’re waiting, reach out to our friendly, knowledgeable Graduate Admissions Manager, Amanda, if you have any questions about these programs. She has years of experience helping students evaluate programs and navigate the application process.

Contact her at globalcampus@mtu.edu.

Linear Algebra Bridge Course Returns for Fall 2025

A graphic of a bar chart and a trend line, which represents some of the tools used in the application of linear algebra to Applied Statistics.

On Sept. 15, 2025, students can once again enroll in Linear Algebra: A Bridge Course for Prospective Applied Statistics Students.

Bridge courses, which are short, intensive, preparatory courses, help learners acquire the necessary knowledge and skills to enter advanced study. Advanced study might mean an undergraduate program, graduate degree, or graduate certificate. Often, these courses are aimed at applicants who have been provisionally accepted into a program.

This noncredit bridge course is an effective, low-cost option for those needing the linear algebra requirement to enroll in MTU’s Online Master of Science in Applied Statistics program. In particular, it will help students get ready for a Fall 2025 or Spring 2026 program start.

The practical curriculum covers the fundamentals of linear algebra as they pertain to applied statistics. Some of the topics include, but are not limited to, the following:

  • systems of equations
  • vectors
  • matrices
  • orthogonality
  • subspaces
  • the eigenvalue problem

The asynchronous 10-week format will help learners quickly master the fundamentals of linear algebra. The course consists of helpful instructor-led videos, extensive auto-graded exercises in Pearson’s MyLab Math learning environment, periodic review assignments, and regular instructor feedback.

Teresa Woods, associate teaching professor and academic coordinator in the Department of Mathematical Science, is helming this course. Woods is an engaging instructor with not only a passion for math and linear algebra, but also a wealth of practical experience: she holds both an MS in Mathematical Sciences and a MS in Education. With her guidance, students are assured a robust, interactive learning experience that will make even the trickiest concepts stick.

Why Linear Algebra? And What Does It Have to Do With Statistics?

Linear algebra, a specialized branch of algebra, focuses on the study of vectors, vector spaces (or linear spaces), matrices, eigenvalues and eigenvectors, linear transformations, and systems of linear equations.

This foundational area of mathematics has applications in several fields, such as physics, computer science, engineering, economics, and applied statistics.

And, of course, applied statistics.

Applied statistics professional making a presentation.

Applied statistics is the implementation of statistical methods, techniques, and theories to real-world problems and situations in healthcare, science, engineering, business, finance, medicine, social sciences, and more. This discipline involves collecting, summarizing, analyzing, interpreting, and presenting data to make informed decisions, analyze scenarios, solve problems, and answer questions.

Applied statisticians also use advanced techniques, such as machine learning algorithms, to extract insights and patterns from large datasets. That is, they work in a wide range of places: research institutions, the government, business and finance, universities, healthcare systems, and more.

These experts regularly apply linear algebra, primarily because of its ability to handle large datasets and complex calculations efficiently. 

What Are Some Real-World Examples of Linear Algebra and Applied Statistics?

Here are a few scenarios in which linear algebra and applied statistics work together:

  • A statistician working for Netflix might collect and then simplify data on user ratings for various movies. Next, they would represent that data as a matrix and train the model. By uncovering patterns in the ratings, they could then use the model to generate an effective recommendation system. This approach is also widely used in e-commerce sites and music streaming services.
  • Furthermore, a real estate agent might use linear regression, a common method for determining outcomes, to predict how housing prices will increase or decrease in the next year. This information would help them price houses in their portfolio, estimate their commission, and so on.
  • Healthcare professionals regularly use linear algebra and applied statistics. Principal Component Analysis (PCA) helps reduce the complexity of a large dataset by identifying key patterns and relationships between variables. Through this approach, health officials can then predict and intervene on disease outbreaks more effectively.
  • And, of course, linear algebra and applied statistics work together in several processes involving elections. These include voter segmentation and targeting, predictive modeling, analyzing voting patterns, polling analysis, and redistricting and gerrymandering.

Learn More About This Bridge Course and The Online MS in Applied Statistics.

Need advice on whether this course is right for you? If so, please contact Teresa Woods at tmthomps@mtu.edu.

This blog, though, offered just a few examples of the need for data professionals with applied statistics expertise. MTU’s online MSAS program can help you fill that talent gap while earning your degree more quickly.

That is, our online MSAS program consists of ten 7-week compact courses, which were carefully designed to be online and to meet quality standards. You can take courses in both Track A and Track B of most semesters, completing your degree in fewer semesters.

If you’d like an overview of the online MSAS program, watch this recording. But, if you have specific questions, contact program director Dr. Kui Zhang or program assistant Shanna Reynolds.