BBA Data Science

Paris

 

INTAKE: Mar & Sept

Program Overview

The Bachelor of Business Administration (BBA) in Data Science at Aura International School of Management (AISOM) in France is a comprehensive program designed to equip students with the essential skills required to excel in the rapidly evolving fields of data science and business analytics. This three-year program seamlessly integrates technical proficiency in data analysis with foundational business management principles, preparing graduates to harness data-driven insights for strategic decision-making across various industries, including finance, marketing, healthcare, and technology.

Curriculum: The curriculum of the BBA in Data Science at AISOM is meticulously structured to provide a balanced blend of theoretical knowledge and practical application. Core subjects encompass Business Management Principles, Organizational Behavior, Marketing Fundamentals, Financial Accounting, and Business Communication Skills. Specialized courses delve into Data Science, Programming Languages (such as Python and R), and Data Analytics. Additionally, students are encouraged to learn the French language at a beginner level, enhancing their cultural adaptability and employability in Francophone regions. Each academic year includes a six-month internship, offering hands-on experience and industry exposure to reinforce classroom learning.

Research Focus: AISOM places a strong emphasis on research, encouraging students to engage in projects that explore the integration of data science within business contexts. Research areas include predictive analytics, machine learning applications in business, big data management, and the development of data-driven business strategies. By participating in these research initiatives, students gain critical thinking skills and practical insights into how data science can drive innovation and efficiency in various business operations.

Industry Engagement: To bridge the gap between academia and industry, AISOM has established robust partnerships with leading organizations across multiple sectors. The BBA in Data Science program incorporates annual internships, allowing students to apply theoretical knowledge to real-world challenges. Guest lectures, workshops, and collaborative projects with industry professionals are integral components of the curriculum, providing students with networking opportunities and a deep understanding of current industry trends and demands.

Global Perspective: Situated in France, a hub of innovation and technology, AISOM offers students a global perspective on data science applications. The diverse student body and faculty foster a multicultural learning environment, enriching the educational experience. The program includes international case studies and encourages participation in global data science competitions and conferences, enabling students to understand and navigate the complexities of the global market effectively.

Pollster Education

Location

Paris

Pollster Education

Score

IELTS 6

Pollster Education

Tuition Fee

€ 10400

Undergraduate Entry Requirements 

Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 55% or above in their previous academic qualifications.

English Language Proficiency:

  • IELTS: Overall band score of 6.0 or 6.5 with a minimum of 5.5 in each component.

Aura International School of Management (AISM) in France is supporting international students through various scholarship opportunities, making quality education accessible to a diverse student body.

Erasmus+ Scholarships: As a participant in the Erasmus+ program, AISM offers students the chance to engage in exchange programs across Europe. This initiative allows students to experience different cultures and educational systems, enhancing their global perspective. The Erasmus+ scholarships can cover tuition fees and living expenses during the study abroad period, easing the financial burden on students.

Institutional Scholarships: AISM is dedicated to recognizing academic excellence and supporting students in financial need through its institutional scholarships. These scholarships are awarded based on merit or financial circumstances and can significantly reduce tuition costs. Prospective and current students are encouraged to inquire about available institutional scholarships during the application process to take full advantage of these opportunities.

Graduates of the BBA in Data Science program at Aura International School of Management (AISOM) are well-positioned for exciting careers in the rapidly growing field of data analytics. By combining data science expertise with business management skills, the program prepares students to take on strategic roles across various industries. 

Data Analyst: Data analysts interpret complex data sets, generate reports, and provide insights that help businesses make informed decisions. They often work in sectors like finance, marketing, and healthcare.

Business Intelligence Analyst: Business intelligence analysts use data analysis tools to support decision-making processes. They analyze trends, forecast business performance, and help optimize strategies.

Data Scientist: A data scientist uses advanced algorithms, statistical models, and machine learning techniques to analyze and interpret large datasets. Data scientists often work in tech, finance, and consulting firms.

Machine Learning Engineer: Machine learning engineers design and implement algorithms that allow systems to learn and improve from data, making them essential for businesses that rely on automation and predictive models.

Data Consultant: Data consultants provide expert advice to companies on how to collect, manage, and use data effectively. They help businesses improve their data infrastructure and make data-driven decisions.

Data Engineer: Data engineers focus on building and maintaining systems for collecting, storing, and analyzing data. They ensure that data is accessible, reliable, and optimized for analysis.

Business Analyst: Business analysts bridge the gap between business objectives and technology solutions. They use data to understand business needs and recommend strategies to improve operations.

Digital Marketing Analyst: Digital marketing analysts use data science tools to track consumer behavior and trends in the digital marketing landscape. They help optimize campaigns and understand customer needs.

Financial Analyst: A financial analyst uses data analysis techniques to assess the financial performance of companies. They help businesses make investment decisions and manage financial risks.

Operations Research Analyst: Operations research analysts use statistical analysis and mathematical modeling to solve complex problems in logistics, supply chain, and business operations.


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