BS Applied Mathematics - Computer Science

4 Years On Campus Bachelors Program

Brown University

Program Overview

The BS in Applied Mathematics - Computer Science at Brown University is an innovative program designed for students who are passionate about solving complex problems through mathematical and computational methods. This interdisciplinary degree is perfect for those who enjoy both theoretical and practical applications of mathematics and computer science, preparing them for a variety of careers in technology, finance, and research.

Curriculum Structure:

In the first year, students will build a strong foundation in mathematics and computer science with courses such as "Introduction to Computer Science" and "Calculus." These courses emphasize problem-solving skills and introduce students to programming concepts, setting the stage for more advanced studies.

During the second year, students delve deeper into the core subjects with courses like "Data Structures and Algorithms" and "Linear Algebra." This year focuses on developing analytical skills and understanding the mathematical principles that underpin computer science, allowing students to tackle more complex problems.

In the third year, students can choose electives that align with their interests, such as "Machine Learning" or "Numerical Analysis." This flexibility enables students to explore specialized areas while continuing to strengthen their mathematical and computational skills through rigorous coursework.

In the final year, students engage in capstone projects and advanced courses like "Optimization" and "Statistical Inference." This hands-on experience allows them to apply their knowledge to real-world challenges, preparing them for successful careers or further academic pursuits.

Focus Areas: Data Science, Machine Learning, Optimization, Statistical Analysis

Learning Outcomes: Proficiency in mathematical modeling, programming skills, analytical thinking, and problem-solving abilities

Professional Alignment (Accreditation): The program is accredited by the Computing Accreditation Commission of ABET, ensuring it meets high educational standards.

Reputation (Employability Rankings): Brown University consistently ranks among the top universities for employability, with QS World University Rankings placing it in the top 50 globally for graduate employability.

Experiential Learning (Research, Projects, Internships etc.)

At Brown University, the BS in Applied Mathematics - Computer Science program is designed to provide students with a robust foundation in both theoretical and practical aspects of mathematics and computer science. Students engage in hands-on learning experiences that prepare them for real-world challenges. The program emphasizes collaboration, innovation, and the application of knowledge through various facilities and tools that enhance the learning experience.

Here are some key aspects of experiential learning within the program:

- Collaborative Projects: Students often work in teams on projects that tackle real-world problems, fostering teamwork and communication skills essential for the workplace.
- Internship Opportunities: The program encourages students to pursue internships with leading tech companies and research institutions, providing invaluable industry experience.
- Research Laboratories: Access to state-of-the-art labs, such as the Center for Computational Molecular Biology and the Data Science Initiative, allows students to engage in cutting-edge research.
- Software and Tools: Students gain proficiency in industry-standard software and programming languages, including Python, R, and MATLAB, which are integral to data analysis and computational tasks.
- Field Trips and Workshops: The program includes field trips to tech companies and workshops led by industry professionals, offering insights into current trends and practices in the field.
- Libraries and Resources: Brown’s extensive library system, including the John Hay Library and the Sciences Library, provides access to a wealth of resources for research and study.
- Interdisciplinary Institutes: Students can collaborate with various institutes, such as the Institute for Computational and Experimental Research in Mathematics (ICERM), enhancing their learning through interdisciplinary approaches.

Progression & Future Opportunities

Choosing to pursue a Bachelor of Science in Applied Mathematics - Computer Science at Brown University opens up a world of opportunities. Graduates from this program are well-prepared for a variety of roles in technology and data-driven industries, such as Data Analyst, Software Engineer, and Quantitative Researcher. The skills you acquire will not only make you competitive in the job market but also provide a strong foundation for further academic pursuits.

Career Opportunities and Support Services :

- Career Services: Brown’s CareerLAB offers personalized career counseling, resume workshops, and interview preparation to help you land internships and job placements.
- Employment Statistics: Over 90% of graduates find employment or continue their education within six months of graduation, with starting salaries averaging around $80,000.
- University-Industry Partnerships: Brown has established partnerships with leading tech companies like Google and IBM, providing students with internship opportunities and real-world project experience.
- Accreditation Value: The program is accredited by the Computing Accreditation Commission of ABET, ensuring that your degree meets high standards recognized by employers.
- Graduation Outcomes: Alumni have gone on to work at prestigious firms such as Amazon, Microsoft, and Goldman Sachs, showcasing the program's strong reputation in the industry.

Further Academic Progression:
After completing your BS in Applied Mathematics - Computer Science, you can choose to further your studies in various fields. Many graduates opt for master’s programs in Computer Science, Data Science, or Applied Mathematics, which can deepen your expertise and open doors to advanced roles in research or academia. Additionally, pursuing a Ph.D. can lead to opportunities in teaching at the university level or conducting high-level research in innovative areas of technology.

How US Universities Assess Applicants

US universities use a holistic admissions review. Beyond grades and standardized test scores, they weigh the strength of your overall profile to understand who you are as a student and a person.

Profile Assessment: Science applicants are generally assessed on the rigour of their Mathematics and laboratory-science coursework. Relevant preparation may include Biology, Chemistry, Physics, Calculus or Statistics, depending on the intended field. Research, science fairs, Olympiads, laboratory exposure, independent investigation and environmental or community-science projects can demonstrate scientific curiosity and analytical thinking.
Advanced Placement(AP) Guidance: AP availability depends on the student's school. Relevant APs can strengthen an application and may earn university credit, but are not compulsory unless the university or programme explicitly requires them.
- AP Chemistry
- AP Physics C
- AP Calculus BC
Extracurricular activities: Estimated contribution: 20–30%. Brown values intellectual curiosity, independence, creativity and community engagement. Activities can demonstrate how the student might use the Open Curriculum to connect different interests. A genuine pattern of exploration and self-directed learning may be particularly valuable.
Essays & recommendations: Personal essays and teacher/counselor recommendations give context to your achievements and help demonstrate fit with the program.