M.A. in Nutrition
The Master of Arts (M.A.) in Nutrition program at Illinois State University is a compre...
B.A. in Mathematics - Data Science and Computational Mathematics
Normal, Illinois
INTAKE: Jan, May & Aug
Program Overview
Illinois State University offers a comprehensive B.A. in Mathematics with a specialization in Data Science and Computational Mathematics. This program integrates advanced mathematical concepts with practical skills in data analysis and computational methods, preparing students for careers at the intersection of mathematics and technology.
Curriculum: The curriculum is designed to provide students with a strong foundation in mathematical theory, statistical methods, computer programming, and data visualization. Core courses cover topics such as calculus, linear algebra, probability, numerical analysis, 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 and computational mathematics. Faculty members are actively involved in research areas such as big data analytics, mathematical modeling, optimization techniques, and artificial intelligence, providing students with opportunities to participate in research projects and publish findings.
Industry Engagement: Illinois State University fosters strong ties with industry partners in technology, finance, healthcare, and research institutions. Guest lectures, industry-sponsored projects, and internships provide students with practical insights into industry trends and challenges. These experiences help students develop 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 tackle complex mathematical and computational problems on a global scale. Courses explore international applications of data science, computational methods used in diverse industries worldwide, and global challenges in 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.A. in Mathematics - Data Science and Computational Mathematics program have diverse career opportunities in sectors such as technology, finance, healthcare, government, and research. This program equips students with a strong foundation in mathematical theory, computational methods, and data analysis, making them well-prepared for roles that require advanced quantitative skills and analytical thinking.
Data Scientist: Many graduates pursue careers as data scientists, leveraging their expertise in mathematical modeling, statistical analysis, and programming to extract insights from large datasets. They develop algorithms, build predictive models, and communicate findings to inform business decisions.
Statistical Analyst: With a focus on statistical methods and data interpretation, graduates can work as statistical analysts in industries such as finance, healthcare, market research, and government. They analyze data trends, conduct hypothesis testing, and provide statistical insights to support strategic decision-making.
Quantitative Analyst (Quant): Graduates with strong quantitative skills may pursue careers as quants in finance and investment firms. They develop financial models, assess risk, and optimize trading strategies using mathematical and computational techniques.
Machine Learning Engineer: The program prepares students for roles as machine learning engineers, where they apply algorithms and computational methods to design and implement machine learning solutions. They work on projects ranging from natural language processing to computer vision and autonomous systems.
Operations Research Analyst: Graduates interested in optimization and decision-making processes can work as operations research analysts. They use mathematical modeling and simulation techniques to improve efficiency, solve logistical problems, and optimize supply chain operations in various industries.
Data Engineer: With expertise in data management and programming, graduates can pursue careers as data engineers. They design and build data pipelines, manage databases, and ensure data quality and integrity for analytical purposes.
