M.A. in Nutrition
The Master of Arts (M.A.) in Nutrition program at Illinois State University is a compre...
B.S. in Mathematics - Data Science and Computational Mathematics
Normal, Illinois
INTAKE: Jan, May & Aug
Program Overview
Illinois State University offers a comprehensive B.S. in Mathematics with a specialization in Data Science and Computational Mathematics. This program blends advanced mathematical theory with practical skills in data analysis and computational methods, preparing students for careers at the intersection of mathematics, technology, and analytics.
Curriculum: The curriculum is designed to provide students with a solid foundation in mathematical principles, statistical techniques, computer programming, and data visualization. Core courses include calculus, linear algebra, probability theory, numerical methods, machine learning, and algorithms. Students also engage in hands-on projects and internships to apply theoretical knowledge to real-world problems.
Research Focus: The program emphasizes research-driven learning, encouraging students to explore cutting-edge topics in data science, computational mathematics, and related fields. Faculty members are actively involved in research areas such as big data analytics, mathematical modeling, optimization, and artificial intelligence, offering students opportunities to participate in research projects and contribute to advancements in the field.
Industry Engagement: Illinois State University maintains strong connections with industry partners in technology, finance, healthcare, and research. Guest lectures, industry-sponsored projects, and internships provide students with practical insights into industry trends and challenges. These experiences help students develop practical skills highly valued in the job market and establish professional networks.
Global Perspective: With a global perspective integrated into the curriculum, the program prepares students to address complex mathematical and computational challenges on a global scale. Courses explore international applications of data science, computational methods used in diverse industries worldwide, and global issues such as data security and privacy.
Location
Normal, Illinois
Score
IELTS 6.5
Tuition Fee
USD 27010
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 79 or higher.
- PTE: Overall score of 53 or higher.
- DET (Duolingo English Test): Minimum score of 115.
ISU offers several scholarships and financial aid options for international students to help them pursue their academic goals. These scholarships are based on academic achievements, leadership skills, and other criteria.
International Tuition Waiver: International students who demonstrate exceptional academic performance and show promise for contributing to the ISU community may be eligible for tuition waivers. These waivers can significantly reduce the cost of tuition.
Redbird Academic Scholarship: This scholarship is awarded to incoming undergraduate international students who have outstanding academic records. The scholarship amount varies depending on the student's academic achievements.
Redbird International Ambassador Scholarship: This scholarship recognizes outstanding leadership skills and contributions to the international community. Recipients of this scholarship serve as ambassadors for international students at ISU.
College-Specific Scholarships: Various colleges within ISU offer scholarships for international students pursuing specific academic programs. These scholarships are often based on academic performance and potential for success in the chosen field of study.
Study Abroad Scholarships: ISU encourages international students to engage in study abroad programs to gain global experiences. The university offers scholarships to support international students' participation in these programs.
International students interested in applying for scholarships at ISU should review the specific eligibility criteria and application deadlines for each scholarship.
Graduates of Illinois State University's B.S. in Mathematics - Data Science and Computational Mathematics program are well-prepared for a variety of exciting career opportunities at the intersection of mathematics, data science, and technology. This program equips students with advanced mathematical skills, computational proficiency, and practical knowledge in data analysis, positioning them for roles in diverse industries.
Data Scientist: Many graduates pursue careers as data scientists, leveraging their expertise in mathematical modeling, statistical analysis, and programming languages like Python and R. They analyze large datasets, develop predictive models, and derive insights to drive business decisions in fields such as finance, healthcare, e-commerce, and more.
Machine Learning Engineer: With a strong foundation in algorithms, machine learning techniques, and computational mathematics, graduates can work as machine learning engineers. They design and implement machine learning solutions for applications ranging from natural language processing to computer vision and autonomous systems.
Quantitative Analyst (Quant): Graduates with quantitative skills may choose to work as quants in finance and investment firms. They develop and implement mathematical models to analyze financial markets, manage risk, and optimize trading strategies using data-driven approaches.
Operations Research Analyst: Professionals in this role use mathematical modeling and optimization techniques to solve complex problems in logistics, supply chain management, transportation, and resource allocation. Graduates can apply their skills to improve efficiency and decision-making processes in various industries.
Data Engineer: Graduates with expertise in data management and database systems can pursue careers as data engineers. They design, construct, and maintain data pipelines, ensuring data quality and availability for analytical purposes in organizations across different sectors.
