Mathematics of Computation B.S.

4 Years On Campus Bachelors Program

University of California Los Angeles

Program Overview

The Bachelor of Science in Mathematics of Computation at the University of California, Los Angeles (UCLA) is an exciting program designed for students who are passionate about applying mathematical principles to solve real-world problems. This program is ideal for those interested in fields such as computer science, engineering, and data analysis, providing a strong foundation in both theoretical and applied mathematics.

Curriculum Structure:

In the first year, students will dive into foundational courses that set the stage for advanced study. Core classes such as "Calculus of One Variable" (Math 3A) and "Introduction to Computer Science" (CS 31) introduce essential mathematical concepts and programming skills, ensuring students are well-prepared for the challenges ahead.

During the second year, the curriculum becomes more specialized, with courses like "Linear Algebra" (Math 33A) and "Discrete Mathematics" (Math 32) that deepen students' understanding of mathematical structures and algorithms. This year emphasizes critical thinking and problem-solving, equipping students with the tools needed for complex computational tasks.

In the third year, students engage in more advanced topics, including "Numerical Analysis" (Math 151) and "Probability and Statistics" (Stat 100A). These courses focus on applying mathematical theories to real-world scenarios, enhancing students' analytical skills and preparing them for practical applications in various industries.

In the final year, students can choose from a range of electives and capstone projects, such as "Mathematical Modeling" (Math 170) and "Machine Learning" (CS 146), allowing them to tailor their education to their career goals. This year is crucial for integrating knowledge and skills acquired throughout the program, culminating in a comprehensive understanding of mathematics in computation.

Focus Areas: Data Science, Algorithm Design, Mathematical Modeling, Statistical Analysis

Learning Outcomes: Proficiency in mathematical reasoning, ability to apply computational techniques, critical thinking in problem-solving, and effective communication of complex ideas.

Professional Alignment (Accreditation): The program is accredited by the Western Association of Schools and Colleges (WASC), ensuring high educational standards and quality.

Reputation (Employability Rankings): UCLA consistently ranks among the top universities globally, with strong employability rankings in QS World University Rankings and The Guardian, reflecting the high demand for graduates in mathematics and computation fields.

Experiential Learning (Research, Projects, Internships etc.)

At UCLA, the Bachelor of Science in Mathematics of Computation program offers students a unique opportunity to gain practical skills that are essential for success in today’s data-driven world. The program emphasizes experiential learning, allowing students to apply theoretical concepts in real-world scenarios. With access to state-of-the-art facilities and cutting-edge tools, students can engage in hands-on projects, collaborate with peers, and explore various applications of mathematics in computation.

Here are some key aspects of the experiential learning opportunities available to you as a Mathematics of Computation major at UCLA:

- Research Laboratories: Students can work in specialized labs such as the UCLA Institute for Pure and Applied Mathematics (IPAM), where they can engage in collaborative research projects with faculty and peers.

- Software and Tools: Gain proficiency in industry-standard software such as MATLAB, Python, and R, which are integral for data analysis, modeling, and computational tasks.

- Group Projects: Participate in team-based projects that simulate real-world problem-solving scenarios, fostering collaboration and communication skills.

- Internships: Take advantage of internship opportunities through UCLA’s extensive network, allowing you to gain practical experience in tech companies, research institutions, and other organizations.

- Field Trips: Engage in field trips to tech companies and research facilities, providing insights into how mathematics is applied in various industries.

- Libraries and Resources: Access to the UCLA Library system, which includes extensive resources for research and study, as well as dedicated spaces for group work and collaboration.

- Workshops and Seminars: Attend workshops and seminars hosted by the Mathematics Department and IPAM, featuring guest speakers from academia and industry who share their expertise and experiences.

Progression & Future Opportunities

The Bachelor of Science in Mathematics of Computation at UCLA equips students with a robust foundation in mathematical theory and computational techniques, leading to impressive graduate outcomes. Graduates often find themselves in high-demand roles such as Data Analyst, Software Engineer, Operations Research Analyst, and Quantitative Analyst. This program not only prepares you for immediate employment but also opens doors to advanced studies and specialized fields:

- University Services for Employment: UCLA offers a dedicated Career Center that provides personalized career counseling, resume workshops, and interview preparation. Additionally, the UCLA Alumni Network is a valuable resource for mentorship and job placement.

- Employment Stats and Salary Figures: According to UCLA's Career Center, over 90% of graduates from the Mathematics of Computation program secure employment within six months of graduation, with starting salaries averaging around $80,000 annually.

- University–Industry Partnerships: UCLA has established partnerships with leading tech companies and financial institutions, such as Google, Amazon, and Goldman Sachs, providing students with internship opportunities and real-world experience.

- Long-term Accreditation Value: The program is accredited by the Western Association of Schools and Colleges (WASC), ensuring that your degree holds value in the job market and is recognized by employers worldwide.

- Graduation Outcomes: Alumni have gone on to pursue successful careers in various sectors, including technology, finance, and academia, with many continuing their education in prestigious graduate programs.

Further Academic Progression: After completing the BS in Mathematics of Computation, students have several pathways for further studies. Many choose to pursue a Master’s degree in fields such as Data Science, Applied Mathematics, or Computer Science. Others may opt for professional degrees in areas like Finance or Engineering. The strong analytical and problem-solving skills developed during the undergraduate program will serve as a solid foundation for any advanced studies you choose to undertake.