2021¹ú²úÂ鶹¾ç

Solve problems and apply mathematical skills to science. The Bachelor of Science in Applied Mathematics is the perfect major for detail-oriented people who gravitate toward data analysis, pattern finding, creative problem solving, and science.

This program is ideal for people who wish to apply mathematics to the bench sciences. Applied mathematics students choose a specialization in one of the following areas:

• Biology: Genetics
• Biology: Environmental Sciences
• Chemistry
• Physics

Although this program’s focus is mathematics and modeling,  the program also builds valuable skills in computing, statistics, data analysis, and more. With an Applied Mathematics B.S., you’ll be prepared for a career in drug discovery, clean energy, defense, and other fields that combine mathematics and science. 

The Department of Mathematical, Information, and Computer Sciences (MICS) is committed to working with you holistically to help you discover who you are called to be. As an applied mathematics major at 2021¹ú²úÂ鶹¾ç, you will be immersed in a curriculum that not only allows you to gain the broad knowledge of your discipline, but also aims to help you develop the characteristics necessary to make a positive impact on your community.

For information about the courses required for the Applied Mathematics, B.S. program, view the 2021¹ú²úÂ鶹¾ç Catalog. 

What can you do with a mathematics degree?

Applied mathematics graduates will be equipped for careers where they use their mathematical skills in bench sciences like biology, genetics, environmental science, chemistry, and physics. They will apply skills in data analytics, computing, statistics, mathematical modeling, and more. 

The following are more examples of positions that 2021¹ú²úÂ鶹¾ç accounting alumni currently hold:

Pharmaceutical Research/Development

2024 Median annual salary $93,940
Job growth outlook: 7% (faster than average)

Pharmaceutical research and development (R&D) professionals work to discover, test, and bring new medications to market. Their roles span early-stage drug discovery, laboratory testing, clinical trials, and regulatory approval. These professionals often work in lab environments, conducting experiments and analyzing data to improve drug safety and efficacy. 

What it takes to work in pharmaceutical research and development:

• Strong background in Mathematics and Science
• Critical thinking and analytical skills
• Laboratory and technical research skills
• Precision and attention to detail
• Ability to work independently and collaboratively
• Written and verbal communication skills for reporting findings

Statistician

2024 Median annual salary: $100,910
Job growth outlook: 32% (faster than average)

Statisticians use mathematical techniques to analyze and interpret data, helping organizations make informed decisions. They design surveys, experiments, and opinion polls to collect data, then apply statistical methods to solve real-world problems in business, healthcare, government, and scientific research. Statisticians often work with software tools and large datasets to uncover trends, test theories, and make projections.

What it takes to be a statistician:

• Strong mathematical and analytical skills
• Proficiency in statistical software 
• Attention to detail and accuracy
• Critical thinking and problem-solving abilities
• Communication skills to explain complex data clearly
• Research design and data modeling expertise
• Ability to work independently and as part of a team

Data Scientist 

2024 Median annual salary: $133,580
Job growth outlook: 36% (faster than average)

Data scientists analyze complex data to uncover insights that guide strategic decisions. Combining mathematics, statistics, and computer science, they build models, create algorithms, and visualize data trends. Data scientists work across industries, from tech and finance to healthcare and marketing, using data to solve problems and forecast outcomes. Their work often involves large datasets and advanced analytics tools.

What it takes to be a data scientist:

• Strong foundation in mathematics and statistics
• Knowledge of machine learning and data modeling
• Analytical and critical thinking skills
• Ability to interpret and visualize data clearly
• Problem-solving and creative thinking
• Communication skills to share insights with technical and non-technical audiences