Mathematics and Computer Science (BS)

4 Years On Campus Bachelors Program

Loyola University Chicago

Program Overview

The Bachelor of Science in Mathematics and Computer Science at Loyola University Chicago is an exciting program designed for students who are passionate about problem-solving and technology. This interdisciplinary degree combines rigorous mathematical theory with practical computer science skills, making it ideal for those looking to thrive in a data-driven world.

 

Curriculum Structure:

In the first year, students will build a strong foundation in both mathematics and computer science. Courses such as "Calculus I" and "Introduction to Computer Science" introduce essential concepts and techniques, while "Discrete Mathematics" lays the groundwork for logical reasoning and problem-solving skills that are crucial in both fields.

During the second year, students delve deeper into the core subjects with courses like "Data Structures" and "Linear Algebra." These classes enhance programming skills and mathematical understanding, preparing students for more complex topics. Additionally, "Computer Organization" provides insights into how computers work at a fundamental level, bridging the gap between theory and practical application.

In the third year, students explore advanced topics such as "Algorithms" and "Database Systems," where they learn to design efficient algorithms and manage data effectively. The course "Probability and Statistics" further equips students with the analytical tools needed to interpret data, a vital skill in today’s technology-driven landscape.

In the final year, students can tailor their education to their interests with electives and capstone projects. Courses like "Machine Learning" and "Software Engineering" allow students to apply their knowledge to real-world problems, while "Numerical Analysis" enhances their computational skills. This year culminates in a comprehensive project that showcases their expertise and prepares them for the workforce.

Focus Areas: Data Science, Software Development, Algorithm Design, Machine Learning

Learning Outcomes: Critical thinking, problem-solving, programming proficiency, data analysis, and mathematical modeling

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

Reputation (Employability Rankings): Loyola University Chicago consistently ranks well in employability, with recent statistics showing that over 90% of graduates secure employment or continue their education within six months of graduation.

Experiential Learning (Research, Projects, Internships etc.)

At Loyola University Chicago, the BS in Mathematics and Computer Science program is designed to provide students with a robust foundation in both theoretical and practical aspects of the fields. Students engage in experiential learning that equips them with essential skills through hands-on projects, collaborative work, and access to state-of-the-art facilities. This approach not only enhances their understanding of complex concepts but also prepares them for real-world challenges in technology and data analysis.

 

Here are some key components of the experiential learning opportunities available to students in this program:

- State-of-the-Art Labs: Students have access to specialized labs equipped with advanced computing resources, including the Computer Science Lab and the Mathematics Lab, where they can work on projects and conduct research.

- Software and Tools: The curriculum incorporates industry-standard software such as MATLAB, Python, R, and various data visualization tools, allowing students to gain proficiency in essential programming and analytical skills.

- Collaborative Projects: Students often participate in group projects that simulate real-world scenarios, fostering teamwork and problem-solving abilities. These projects may involve developing software applications or analyzing complex datasets.

- Internship Opportunities: The program encourages students to pursue internships with local tech companies, research institutions, and non-profits, providing invaluable work experience and networking opportunities.

- Field Trips and Industry Visits: Students have the chance to visit tech companies and research facilities, gaining insights into industry practices and trends.

- Research Opportunities: Students can engage in faculty-led research projects, contributing to innovative studies in areas such as artificial intelligence, data science, and computational mathematics.

- Access to Libraries and Resources: The Loyola University libraries offer extensive resources, including databases and journals specific to mathematics and computer science, supporting students' research and learning.

- Institute for Business and Professional Ethics: This institute provides additional resources and workshops that focus on the ethical implications of technology and data use, preparing students for responsible decision-making in their careers.

These experiential learning opportunities not only enhance your academic experience but also significantly boost your employability upon graduation. If you're ready to take the next step in your education and career, consider applying to the BS in Mathematics and Computer Science program at Loyola University Chicago. 

Progression & Future Opportunities

Choosing to pursue a Bachelor of Science in Mathematics and Computer Science at Loyola University Chicago opens the door to a wealth of career opportunities. Graduates from this program are well-prepared for roles such as Software Developer, Data Analyst, and Systems Architect, among others. The skills you acquire will not only make you competitive in the job market but also provide a strong foundation for further academic pursuits.

 

Here’s what you can expect in terms of progression and future opportunities:

- University Services: Loyola offers dedicated career services, including resume workshops, interview preparation, and networking events with industry professionals. The Career Development Center also provides access to job postings and internships tailored to your field.

- Employment Stats and Salary Figures: According to recent data, graduates in Mathematics and Computer Science from Loyola have a high employment rate, with over 90% securing jobs within six months of graduation. The average starting salary for these graduates is around $70,000, with potential for growth as you gain experience.

- University–Industry Partnerships: Loyola has established partnerships with leading companies in technology and finance, such as Accenture and JPMorgan Chase. These collaborations often lead to internship opportunities and real-world projects that enhance your learning experience.

- Long-term Accreditation Value: The program is accredited by the Computing Accreditation Commission of ABET, ensuring that your degree meets the highest standards of quality and relevance in the field.

- Graduation Outcomes: Alumni from this program have gone on to work at top firms and have pursued advanced degrees at prestigious institutions, showcasing the strong reputation of Loyola’s program.

Further Academic Progression: After completing your BS in Mathematics and Computer Science, you may choose to further your education by pursuing a Master’s degree in Computer Science, Data Science, or even an MBA with a focus on technology management. This can enhance your expertise and open even more doors in your career. Additionally, you might consider certifications in specialized areas such as cybersecurity or artificial intelligence, which are highly valued in today’s job market.

By choosing Loyola University Chicago, you’re not just earning a degree; you’re investing in a future filled with possibilities.

Program Key Stats

$54530
$54530
$54530
$0
RD
Rolling


81%
No

Eligibility Criteria

BCC - BBC
3.2 - 3.4
22 - 26
65 - 70

1150 - 1350
31 - 32
6.5
90
Never Required
No
Eligibility criteria

How US Universities Assess Applicants

Career Options

  • Software Engineer
  • Software Developer
  • Data Scientist
  • Data Analyst
  • Computational Scientist
  • Scientific Programmer
  • Algorithm Developer
  • Quantitative Analyst
  • Financial Analyst
  • Risk Analyst
  • Operations Research Analyst
  • Machine Learning Engineer
  • Cryptography Specialist
  • Research Scientist
  • Systems Analyst
Career options

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