B.S. in Computer Science and Mathematics (Dual Degree)

New York

 

INTAKE: Jan & Aug

Program Overview

The B.S. in Computer Science and Mathematics (Dual Degree) at Hofstra University is a unique interdisciplinary program designed to provide students with a strong foundation in both computational techniques and mathematical theories. This dual-degree program integrates essential concepts from computer science and mathematics, equipping graduates with the analytical and technical skills necessary to tackle complex problems in various fields, including data analysis, software development, and quantitative research.

STEM-designated: This program is STEM-designated, highlighting its emphasis on science, technology, engineering, and mathematics. The STEM designation enhances the program's prestige and allows international students to benefit from extended Optional Practical Training (OPT) opportunities, granting them additional time to gain work experience in the United States after graduation.

Curriculum: The curriculum for the B.S. in Computer Science and Mathematics is comprehensive and rigorous. Students engage in core courses covering topics such as algorithms, data structures, calculus, linear algebra, and discrete mathematics. Elective courses allow students to explore specialized areas like artificial intelligence, machine learning, cryptography, and statistical analysis. This blend of coursework ensures that graduates are proficient in both theoretical and practical aspects of computer science and mathematics.

Research Focus: Hofstra University encourages a strong research focus within the dual degree program. Students have the opportunity to collaborate with faculty on innovative research projects, exploring cutting-edge topics in computer science and mathematics. This research component allows students to apply their knowledge to real-world problems, fostering critical thinking and problem-solving skills essential for success in their future careers.

Industry Engagement: The program places significant emphasis on industry engagement, providing students with opportunities to connect with professionals through internships, networking events, and guest lectures. These experiences not only enhance students' practical skills but also facilitate the development of professional relationships that can lead to job opportunities upon graduation.

Global Perspective: The B.S. in Computer Science and Mathematics incorporates a global perspective, preparing students to understand the global implications of technology and mathematical applications. The program encourages participation in international conferences, study abroad opportunities, and collaborative projects with global partners, ensuring that graduates are well-prepared to work in a diverse and interconnected world.

Pollster Education

Location

New York

Pollster Education

Score

IELTS 6.5

Pollster Education

Tuition Fee

USD 57750

Undergraduate Entry Requirements

Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 70% or above in their previous academic qualifications.

English Language Proficiency:

  • IELTS: Overall band score of 6.5 with a minimum of 6.0 in each component.
  • TOEFL: Overall score of 80 or higher.
  • PTE: Overall score of 53 or higher.
  • DET (Duolingo English Test): Minimum score of 120.

Scholarships for International Students at Hofstra University

Global Scholars Program: The Global Scholars Program at Hofstra University is designed to recognize and support outstanding international students who demonstrate academic excellence, leadership skills, and making a positive impact in their communities. The scholarship covers a significant portion of tuition costs.

International Student Scholarship: Hofstra University may offer merit-based scholarships to international students based on their academic achievements and potential. These scholarships aim to attract and reward students who have demonstrated exceptional academic performance.

Phi Theta Kappa Scholarship: International transfer students who are members of the Phi Theta Kappa Honor Society may be eligible for a special scholarship at Hofstra University. This scholarship recognizes the achievements of transfer students who have excelled in their previous academic pursuits.

Endowed Scholarships: Hofstra University has various endowed scholarships that international students can apply for. These scholarships may be specific to certain academic disciplines, extracurricular achievements, or other criteria. Students are encouraged to explore the specific eligibility requirements for each endowed scholarship.

Hofstra Cultural Ambassador Scholarship: The Cultural Ambassador Scholarship is designed to recognize students who actively contribute to promoting cultural understanding and diversity on campus. Recipients of this scholarship may be involved in organizing cultural events, participating in international clubs, or engaging in activities that foster a global community at Hofstra.

Athletic Scholarships: International students with exceptional athletic talents may be eligible for athletic scholarships offered by Hofstra University. These scholarships are typically awarded to student-athletes who demonstrate outstanding skills and contribute to the university's athletic programs.

External Scholarships: Hofstra University encourages international students to explore external scholarship opportunities, including those offered by government agencies, private organizations, and foundations. The International Student Affairs Office may provide guidance on external scholarship options.

Graduates of the B.S. in Computer Science and Mathematics (Dual Degree) from Hofstra University are well-prepared for a variety of high-demand careers that leverage their skills in both computer science and mathematics.

Software Developer: Many graduates find roles as software developers, where they design, build, and maintain software applications. They apply their knowledge of algorithms and data structures to create efficient and robust programs for various platforms.

Data Scientist: With strong analytical skills, graduates often pursue careers as data scientists, using statistical techniques and programming languages to analyze large datasets and extract meaningful insights. They help organizations make data-driven decisions and solve complex problems.

Systems Analyst: Graduates may become systems analysts, responsible for analyzing and improving computer systems for businesses. They evaluate existing systems, identify areas for enhancement, and collaborate with stakeholders to implement solutions that meet organizational needs.

Mathematician: Some graduates choose to work as mathematicians, engaging in research or applied mathematics. They may work in academia, government, or private industry, focusing on developing new mathematical theories or applying existing ones to solve real-world problems.

Quantitative Analyst: The dual degree equips graduates for careers as quantitative analysts in finance. They use mathematical models and statistical analysis to assess risk and make informed investment decisions, playing a crucial role in trading and portfolio management.

Data Analyst: Graduates can also work as data analysts, interpreting complex data sets to inform business strategies. They utilize software tools to visualize data and create reports that help organizations understand trends and make informed decisions.

Web Developer: With a solid foundation in computer science, some graduates pursue careers as web developers, creating and maintaining websites. They apply programming skills to ensure functionality, user experience, and design aesthetics in web applications.

Machine Learning Engineer: As machine learning continues to grow, graduates may work as machine learning engineers, developing algorithms and models that enable computers to learn from data. They focus on artificial intelligence applications across various industries.

Actuary: The mathematical skills acquired in this dual degree program also prepare graduates for actuarial careers, where they assess risk for insurance and finance companies. They utilize statistical methods to predict future events and help organizations manage financial risks.


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