Science, Technology, Engineering, and Math (STEM)

Choosing a major is a big decision. Careers in Science, Technology, Engineering, and Math (STEM) are driven by curiosity, creativity, and the drive to solve real-world problems.  If you are curious about STEM but not completely sure it is for you, this page is designed to help you explore options, get honest insight, and connect what you study at Mississippi State with real careers.

Exploring STEM Careers: Is a STEM Major Right for You?

1. What is STEM?

STEM stands for Science, Technology, Engineering, and Mathematics. These are fields that help us understand how the world works and build the tools and systems to solve real problems. STEM majors range from long-standing disciplines like biology or civil engineering to newer areas such as data science, cybersecurity, biomedical engineering, and artificial intelligence.

Honest Pros and Cons of a STEM Major

Potential Advantages
  • Strong job demand across many industries with higher-than-average wages (Bureau of Labor).
  • Flexibility to move into many different career paths.
  • Opportunities to make a meaningful impact.
  • Courses focus on hands-on practice, design projects, and real-world applications.
  • Clear pathways to co-ops, internships, and research opportunities that connect your major directly to experience.
Common Challenges
  • STEM courses often move quickly and require consistent practice.
  • Group projects are common.
  • Learning often involves trial and error.
  • Careers expect continuous learning as technology and methods change.
  • It can be easy to focus only on grades and forget to build experience. Many fields expect early experience, so you have to be intentional about joining activities and organizations, getting involved in class projects, pursuing co-ops or internships, or taking part in research.

2. Why Consider STEM?

Many students choose STEM because of strong job opportunities and competitive salaries, but those are only part of the story. STEM fields offer hands-on learning, teamwork, creativity, and the chance to make a real difference in areas like healthcare, sustainability, transportation, infrastructure, national security, and emerging technology. These fields give you a lot of flexibility, leading to careers in research, industry, consulting, education, government, or technology.

Thriving in STEM

Students succeed in STEM for many different reasons. Some love figuring out how things work. Others enjoy building or designing. Some are motivated by helping people or improving communities. Others are drawn to nature, data, technology, or hands-on projects. And some students choose STEM simply because they want to challenge themselves and grow.

You don’t need to walk in already confident in math or programming. These skills develop gradually, and support systems exist to help you build them over time.

Students often consider STEM majors because they:

  • Want careers that are in demand and forward-looking. National data shows STEM roles are projected to grow faster than many other occupations and have higher median wages.
  • Enjoy solving problems, working with technology, or understanding how systems work.
  • Like learning through labs, projects, and design work, not only lectures.
  • Want to feel that they’re making a real impact on things like healthcare, infrastructure, climate, cybersecurity, or national security.
  • Appreciate flexibility. STEM degrees can lead to careers in industry, research, graduate or professional school, teaching, entrepreneurship, policy, and more.

3. What Does a Career in STEM Look Like?

A common misconception is that STEM is endless math, labs, and coding, but the reality is much wider. Many roles involve people-focused problem solving, communication, design, and fieldwork. Others blend technical skills with business, policy, art, or environmental work. You’ll find STEM majors involved in climate research, medical device design, public health, robotics, agriculture technology, manufacturing, UX research, wildlife conservation, and countless other areas.

In other words, STEM isn’t a single personality type or career path. There’s room for many interests and strengths.

If you want to learn more about specific careers and see typical tasks, skills, and outlook, try the O*Net STEM Occupation list and the Bureau of Labor Statistics STEM pages, or speak with your Career Advisor.

The Day-to-Day

STEM careers vary widely, but they usually involve a mix of collaboration, problem solving, learning new tools, and communicating with others. A typical day might include:

  • Working through a design challenge with a team
  • Running lab tests or gathering field data
  • Coding, modeling, or analyzing information
  • Using specialized tools or equipment
  • Writing reports or sharing findings with others
  • Troubleshooting unexpected problems
  • Learning new software or techniques
  • Communicating and coordinating with others

Common STEM Fields and What They Involve

Fields like biology, chemistry, physics, and earth sciences explore how natural systems work. You might study cells, chemicals, energy, materials, ecosystems, weather, or planetary processes. Graduates often move into healthcare, research labs, environmental work, biotechnology, and government agencies.

Majors such as computer science, cybersecurity, information systems, and software engineering focus on building, managing, and securing digital systems. Work ranges from coding and analytics to troubleshooting and user support. Careers often include software development, IT, data analytics, AI, and network security.

Engineering majors solve practical problems and design the structures, products, processes, and technologies people rely on. You’ll find fields like mechanical, civil, aerospace, chemical, computer, industrial, and electrical engineering. Engineers work in manufacturing, transportation, energy, defense, design, consulting, construction, and many other areas.

These fields center on patterns, prediction, modeling, and data. Students often move into finance, analytics, actuarial science, research, data science, and technical consulting.

Many programs blend multiple areas, such as data science, environmental science, biomedical engineering, neuroscience, materials science, and agritech. These allow you to study complex problems from several angles.

4. What Do Employers Look For in STEM Students?

Most employers hiring for STEM roles want a mix of technical knowledge and professional skills. You don’t have to have all of these skills before you start a major. They develop over time through classes, labs, student organizations, part-time jobs, and co-ops or internships.

Technical Skills
  • Data literacy
  • Coding basics
  • Engineering or scientific methods
  • Lab techniques
  • Tools like CAD, GIS, MATLAB, Python, or R

You build these through your coursework, labs, and projects.

Professional Skills
  • Communication with different audiences
  • Problem solving and resourcefulness
  • Collaboration and project planning
  • Creativity and adaptability
  • Ethical and responsible decision-making
  • Willingness to learn new tools and systems

These are often what help you stand out.

STEM Majors at Mississippi State University include:

The ‘Hour-a-Day’ Job Hunt Routine That Works

Job searching can easily feel like a full-time job. Some days, you’re firing off applications in rapid bursts; other days, you barely send one. There are times you’ll spend hours glued to your screen, scrolling through job boards and LinkedIn, …

By Ivy Exec
Ivy Exec is your dedicated career development resource.
Read more

How to Improve Your Soft Skills—Anyone Can Do It!

Picture this: A manager who once struggled with conflict resolution now expertly calms a heated team argument during a meeting. Or a coworker who used to be shy about speaking up, now confidently leads a presentation and drives the team …

Read more

Sidebar

LinkedIn Learning

Microsoft Azure Data Scientist Associate (DP-100) Cert Prep

Taught by Noah Gift
In this comprehensive course, MLOps expert Noah Gift helps you prepare for the Microsoft Azure Data Scientist Associate (DP-100) Certification…

Terminal-First AI Pair Programming with GitHub Copilot CLI

Taught by Microsoft Developer
This course gives developers a practical, hands‑on path for using GitHub Copilot CLI in real, day‑to‑day terminal workflows. Rather than…

ISC2 Certified Cloud Security Professional (CCSP) Cert Prep

Taught by Cybrary
The CCSP exam demonstrates professionals have the advanced technical skills and knowledge to design, manage and secure data, applications and…

A Standalone Project: Use AI-Driven Exploration to Develop Predictive Models to Anticipate Future Company Registrations for Informed Decision-Making

Taught by SkillUp Online
In this project, leverage advanced AI techniques to perform an in-depth exploration and predictive analysis on the details of companies…

A Standalone Project: Develop an AI-Powered Spam Classifier Using NLP and Machine Learning to Distinguish between Spam and Non-Spam Messages

Taught by SkillUp Online
Email providers, messaging platforms, and mobile networks must protect users from spam messages to avoid security risks and ensure a…

Data Science Reporting with Quarto for Python

Taught by Charlie Joey Hadley
Quarto unlocks a complete and powerful data science reporting toolkit, allowing you to build publication-quality reports, engaging presentation decks, and…

Optimize Your Job Search with AI with Morten Rand-Hendriksen

Taught by Morten Rand-Hendriksen
If you’re using AI in your job search, you’re already ahead — but are you using it to its full…

LLaMa for Developers

Taught by Denys Linkov
In this course, learn how to customize open-source AI models with one of the most common open-source models, LLaMa (Large…

Building Apps with Azure AI Language and Python

Taught by Ziggy Zulueta
This course provides a comprehensive introduction to Azure AI Language. Learn how to create and manage resources, explore the Azure…

Microsoft Azure AI Fundamentals (AI-900) Cert Prep by Microsoft Press

Taught by Tim Warner
The Microsoft Azure AI Fundamentals (AI-900) certification vets your mastery of core AI concepts related to the development of software…

Guided Lab: Java Data Structure Implementation

Taught by Peggy Fisher
In this project-based course, programmer and content manager Peggy Fisher highlights the various types of data structures available in Java.…

Testing Python Data Science Code

Taught by Miki Tebeka
The larger and more complex the world of data science becomes, the more data there is to collect, sort, clean,…

Guided Lab: Python Data Structures Project

Taught by Robin Andrews
This course provides a practical introduction to core Python data structures, including lists, dictionaries, stacks, and priority queues. Learners will…

Python Scripting Using the ArcGIS API for Python

Taught by Jennifer Harrison
In this course, Jennifer Harrison—the president of TeachMeGIS—explores the transformative power of the ArcGIS API for Python as it automates…

Operationalizing Privacy: Strategic Implementation of Data Protection and Compliance Programs

Taught by Jordan Fischer
As companies face new privacy regulations and increasing complexity of data governance and management, understanding how to create effective, evergreen…

Google Cloud Professional Cloud Architect Cert Prep (2025)

Taught by Noah Gift
Prepare for the Google Cloud Professional Cloud Architect certification in this comprehensive course with instructor Noah Gift. Noah starts with…

Fundamentals of AI Engineering: Principles and Practical Applications

Taught by Vinoo Ganesh
Transform your software engineering skills into AI engineering capabilities with this in-depth, hands-on course. Learn how to build production-ready AI…

Introduction to AI Ethics and Safety

Taught by Kate Harwood
There’s a lot of hype around AI, both positive and negative. Some experts think AI will bring us into a…

AWS Certified Machine Learning Engineer Associate (MLA-C01) Cert Prep

Taught by Digital Cloud Training
The AWS Certified Machine Learning Engineer – Associate exam validates your ability to build, operationalize, deploy, and maintain machine learning…

Preparing Your Organization for AI Agents

Taught by Andreas Welsch
When leaders know how to lead AI-driven change, they can successfully guide their organizations through transitions, foster innovation, and ensure…

Alumni Connections

  • Friendswood, TX
Meet Elise
  • Houston, TX
  • Senior Engineering Project Manager Leidos
Meet Kim
  • Baton Rouge, LA
  • Project Manager (Geotechnical) APS Engineering and Testing
Meet Surendra
  • Gainesville, FL
  • Doctoral Student University of Florida
Meet Rachel
Meet Brewer
  • Winston-Salem, NC
  • Graduate Research Assistant Wake Forest University
Meet Mary Frances

Xin Wang

Alumni
  • Sunnyvale, CA
  • Software Engineer Google
Meet Xin
  • Houston, TX
  • Engineer Harris County
Meet Janice
  • Austin, TX
  • Customer Success Manager Amazon Business
Meet Christina
  • Slidell, LA
Meet David
  • Huntsville, Alabama
  • Geospatial Analyst Optimal GEO
Meet Austin
  • Hammond, LA
  • Engineer Intern G.E.C., Inc.
Meet Jonathan

Career Center Office

300 Montgomery Hall
Mississippi State Campus

Phone: 662.325.3344
Fax: 662.325.7975
Email: career@career.msstate.edu

Mailing Address

Post Office Box P
Mississippi State, MS 39762

Campus Mailstop 9533

Co-op Program Office

335 McCain Hall
Mississippi State Campus

Phone: 662.325.3823
Fax: 662.325.8733
Email: coop@career.msstate.edu

Mailing Address

Post Office Box 6046
Mississippi State, MS 39762

Campus Mailstop 9548

Career Service Hours

Day of the week
Office Hours Drop-In Hours
Monday 8:00 am - 5:00 pm 11:00 am - 2:00 pm
Tuesday 8:00 am - 5:00 pm 11:00 am - 2:00 pm
Wednesday 8:00 am - 5:00 pm 11:00 am - 2:00 pm
Thursday 8:00 am - 5:00 pm 11:00 am - 2:00 pm
Friday 8:00 am - 5:00 pm 11:00 am - 2:00 pm