Mathematics-Computer Science, BA/BS Co-Major

Program Overview

The Mathematics-Computer Science Co-major at SOU equips students with a strong foundation in both disciplines, preparing them for careers in software development, data analysis, and other fields. The program emphasizes critical thinking, problem-solving, and interdisciplinary learning, and graduates are well-positioned for advanced studies or diverse career paths.

Program Outline

Degree Overview:

The Mathematics-Computer Science Co-major:

This program equips students with strong foundations in both mathematics and computer science, addressing the growing demand for individuals with these combined skillsets. Offered as both a Bachelor of Arts and Bachelor of Science, the program provides comprehensive training in both disciplines. Students collaborate with advisors from both departments to customize their educational journeys.

Objectives:

• Equip students with the mathematical and computational skills required to excel in diverse disciplines.
• Foster critical thinking and problem-solving abilities applicable to a wide range of careers.
• Prepare graduates for advanced studies in mathematics, computer science, or related fields.
• Empower individuals to apply their knowledge to solve real-world problems.

Description:

The Mathematics-Computer Science Co-major program provides students with a robust understanding of both theoretical and practical aspects of mathematics and computer science. Through rigorous coursework, students develop strong analytical and computational skills, preparing them for success in a variety of professional fields. The program emphasizes critical thinking, problem-solving, and the ability to effectively communicate complex concepts.

Outline:

Curriculum:

• Lower Division: Students should complete precalculus and acquire basic programming experience.
• Upper Division: Students engage in advanced coursework in both mathematics and computer science, tailoring their studies to their specific interests and career aspirations.
• Mathematics Coursework: Topics include calculus, linear algebra, abstract algebra, real analysis, and more.
• Computer Science Coursework: Students delve into subjects like programming languages, data structures, algorithms, software engineering, and theoretical computer science.

Structure:

• Students work closely with advisors from both the Mathematics and Computer Science departments to plan their course schedules and ensure a balanced educational experience.
• The program encourages active participation in research projects and independent study opportunities.

Schedule:

• Typically, students complete lower-division courses by the end of their sophomore year.

Assessment:

Assessment Methods:

• Examinations: Students are evaluated through written and oral exams, assessing their understanding of key concepts and their ability to apply their knowledge to solve problems.
• Assignments and Projects: Regular assignments and projects provide opportunities to demonstrate proficiency in specific skills and delve deeper into specific topics.

Teaching:

Teaching Methods:

• The program utilizes diverse teaching methods, including lectures, tutorials, lab sessions, and independent study opportunities.
• Emphasis is placed on active learning, student participation, and collaborative problem-solving.

Faculty:

• The program boasts a dedicated faculty with expertise in various areas of mathematics and computer science.
• Faculty members are actively involved in research and provide students with opportunities to participate in ongoing projects.

Unique Approaches:

• The program promotes interdisciplinary learning, encouraging students to apply mathematical and computational skills to real-world problems.
• Collaboration between departments fosters a vibrant academic environment where students benefit from the expertise of both mathematics and computer science faculty.

Careers:

Career Opportunities:

Graduates of the Mathematics-Computer Science Co-major program are well-positioned for diverse career paths in various industries, including:

• Software development
• Data analysis
• Financial modeling
• Cryptography
• Artificial intelligence
• Research
• Academia

Potential Employers:

• Tech companies
• Financial institutions
• Government agencies
• Research labs
• Educational institutions

Outcomes:

• The program prepares graduates for advanced studies in mathematics, computer science, or related fields.
• Graduates develop strong problem-solving and analytical skills, making them highly sought-after in various industries.

Other:

• The program may offer opportunities for internships or research experiences, allowing students to gain practical experience and build their professional networks.