MA in International Relations and Diplomacy
Schiller International University (SIU) in France offers a comprehensive Master’s...
BSc in Applied Mathematics and Artificial Intelligence
Paris
INTAKE: September
Program Overview
Schiller International University (SIU) in France offers a comprehensive Bachelor of Science (BSc) in Applied Mathematics and Artificial Intelligence, designed for students seeking to combine rigorous mathematical training with cutting-edge AI and machine learning applications. The program equips students with advanced analytical, computational, and problem-solving skills essential for careers in AI development, data science, computational modeling, and technology-driven industries. The France campus, located in a region with strong technological innovation and access to European AI research hubs, provides students with exposure to practical AI applications, mathematical modeling, and interdisciplinary problem-solving, preparing graduates for success in global technology and research-driven careers.
Curriculum: The BSc in Applied Mathematics and Artificial Intelligence at SIU France features an interdisciplinary curriculum integrating mathematics, computer science, and AI technologies. Core courses typically include Calculus, Linear Algebra, Probability and Statistics, Machine Learning, Artificial Intelligence, and Data Structures and Algorithms. Elective courses allow students to specialize in areas such as Deep Learning, Natural Language Processing, Robotics, Computational Modeling, and Optimization Techniques. The curriculum emphasizes hands-on learning through programming projects, AI simulations, and collaborative exercises, ensuring students develop both theoretical understanding and practical skills to tackle real-world problems.
Research Focus: Research is a core component of the program, encouraging students to explore contemporary challenges in applied mathematics and AI, including algorithm design, predictive modeling, AI ethics, and computational problem-solving. Students engage in independent and collaborative research projects under faculty guidance, gaining experience in mathematical modeling, data analysis, and AI implementation. The research experience equips graduates to innovate in technological solutions, optimize computational processes, and contribute to advancements in artificial intelligence and applied mathematics fields.
Industry Engagement: SIU France maintains strong ties with technology companies, AI research institutes, and data-driven organizations to provide students with industry exposure. Students benefit from internships, workshops, networking events, and guest lectures from AI and technology experts. These engagements allow students to apply classroom learning in real-world contexts, develop professional competencies, and build valuable networks with industry leaders, enhancing their readiness for careers in AI development, computational research, and applied mathematics roles.
Global Perspective: A defining feature of the BSc in Applied Mathematics and Artificial Intelligence at SIU France is its emphasis on global learning and cross-cultural collaboration. The program fosters a multicultural environment where students and faculty from diverse backgrounds collaborate on AI projects, mathematical research, and interdisciplinary initiatives. The curriculum incorporates global best practices in AI ethics, computational modeling, and data-driven decision-making. Study-abroad opportunities at SIU campuses in the United States, Spain, Germany, and the United Kingdom further broaden students’ perspectives, exposing them to international AI research environments, advanced computational applications, and global professional networks. Graduates are prepared to leverage mathematics and AI expertise to solve complex problems, innovate in technology sectors, and contribute to research and development in international contexts.
Location
Paris
Score
IELTS 6
Tuition Fee
€ 15400
Undergraduate Entry Requirements
Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 50% or above in their previous academic qualifications.
English Language Proficiency:
- IELTS: Overall band score of 6.0 with a minimum of 5.5 in each component.
Schiller International University, France offers scholarship opportunities to support international students in achieving their academic goals while studying abroad. These scholarships are designed to recognize academic excellence, leadership potential, and commitment to global learning.
Merit-Based Scholarships: The university offers merit-based scholarships for international students who demonstrate outstanding academic performance, leadership qualities, and a strong commitment to their field of study. These scholarships aim to reward students who have consistently excelled in their previous education and show potential to contribute to the university’s diverse academic community.
Program-Specific Scholarships: Certain degree programs may provide program-specific scholarships for students with exceptional qualifications or relevant professional experience. These scholarships help attract high-achieving international students to specialized areas of study while encouraging excellence in global business, international relations, or other disciplines offered at the Paris campus.
Graduates of the Bachelor of Science (BSc) in Applied Mathematics and Artificial Intelligence from Schiller International University, France, are equipped with advanced analytical, computational, and problem-solving skills that prepare them for a wide range of professional roles in technology, research, and data-driven industries.
Artificial Intelligence Engineer: Graduates can design, develop, and implement AI systems, including machine learning models, neural networks, and intelligent algorithms for applications in industries such as robotics, healthcare, and finance.
Data Scientist: Professionals analyze large datasets, extract meaningful insights, and develop predictive models to support strategic decision-making and business intelligence initiatives across sectors.
Machine Learning Specialist: Graduates may focus on developing and fine-tuning machine learning algorithms to solve complex problems, enhance automation, and improve predictive analytics in various industries.
Quantitative Analyst (Quant): Professionals use mathematical modeling, statistical analysis, and computational techniques to evaluate financial markets, manage risks, and develop investment strategies.
Software Developer – AI Applications: Graduates develop software solutions that integrate AI technologies, including chatbots, recommendation systems, and intelligent applications for business or consumer use.
Operations Research Analyst: Professionals apply mathematical modeling and optimization techniques to improve organizational efficiency, resource allocation, and operational decision-making.
Robotics Engineer: Graduates work on designing, programming, and implementing robotic systems, integrating AI and mathematical algorithms for automation in manufacturing, healthcare, or service industries.
Computational Scientist / Researcher: Professionals conduct research in applied mathematics, algorithm development, and AI applications, contributing to scientific innovation and technological advancement.
Business Intelligence Analyst: Graduates leverage data analytics, visualization tools, and AI techniques to provide actionable insights for strategic planning, marketing, and operational efficiency in organizations.
Cybersecurity Analyst – AI Focus: Professionals use mathematical models and AI technologies to detect, prevent, and respond to cybersecurity threats, enhancing the security of networks, systems, and data.
