MSc Arts & Creative Industries management (Short Track)
The MSc in Arts & Creative Industries Management (Short Track) offered by KEDGE Bus...
Bordeaux
INTAKE: September
KEDGE Business School's MSc in Data Analytics for Business (Long Track) is a comprehensive program tailored to equip students with advanced knowledge and practical skills in leveraging data for strategic decision-making over an extended study period.
Curriculum: The program's curriculum encompasses a diverse range of subjects essential for professionals aiming to excel in data analytics for business applications. Core courses cover areas such as advanced data mining, machine learning, predictive analytics, big data management, data visualization, and business intelligence. The curriculum emphasizes practical application through case studies, projects, and hands-on experience with industry-standard analytics tools.
Research Focus: KEDGE Business School emphasizes a robust research-oriented approach within the MSc in Data Analytics for Business program. Students are encouraged to engage in research projects exploring innovative methodologies, emerging trends, and cutting-edge applications in data analytics. The curriculum integrates research methodologies, enabling students to conduct in-depth analyses and contribute to the advancement of data analytics practices.
Industry Engagement: The school actively fosters collaboration with industry partners to provide students with practical experiences and exposure to real-world data analytics scenarios. Internships, workshops, and seminars conducted by industry experts offer insights into the practical application of data analytics in diverse business settings. These engagements enable students to apply theoretical knowledge and gain firsthand experience, fostering their professional growth and networks within the data analytics field.
Global Perspective: Recognizing the global relevance of data analytics in business, the MSc in Data Analytics for Business (Long Track) at KEDGE Business School emphasizes a global outlook. The program integrates cross-cultural perspectives, international case studies, and global best practices in data-driven decision-making. A diverse student body, international faculty, and exchange programs facilitate exposure to different business contexts, preparing students for global careers in data analytics.
Bordeaux
IELTS 6
€ 9500
Postgraduate Entry Requirements
Academic Qualification: Applicants for postgraduate programs usually need a bachelor's degree or an equivalent qualification from a recognized institution. The entry requirement may specify a minimum score of 50% or higher in the previous academic degree.
English Language Proficiency:
Students must provide:
Work experience: Some postgraduate courses may require relevant work experience in the field.
It's important to note that entry requirements can vary by program and may change over time. Additionally, some programs may have additional requirements, such as interviews, portfolios, or work experience.
KEDGE Business School offers various scholarship opportunities to support and encourage talented international students pursuing their education at the institution. These scholarships aim to alleviate financial burdens and recognize academic excellence, diversity, and exceptional achievements among international applicants.
Graduates from KEDGE Business School's MSc in Data Analytics for Business (Long Track) possess specialized skills that open avenues to a wide array of promising career opportunities in the field of data analytics across various industries.
Data Scientist: Professionals skilled in machine learning and predictive analytics can work as data scientists. They develop and deploy models to extract insights from complex datasets for strategic decision-making.
Business Intelligence Manager: Graduates knowledgeable in business intelligence tools can pursue roles as business intelligence managers. They oversee the development of dashboards, reports, and data visualizations to support organizational decision-making.
Data Analytics Consultant: Professionals with expertise in data analytics can work as consultants. They offer advisory services to organizations on implementing data analytics strategies, optimizing business processes, and deriving insights from data.
Marketing Analytics Manager: Graduates can pursue roles as marketing analytics managers. They analyze consumer data to drive marketing strategies, evaluate campaign effectiveness, and enhance customer engagement.
Financial Data Analyst: Professionals specializing in financial analytics can work as financial data analysts. They analyze financial data, assess risks, and provide insights for investment decisions and financial planning.
Supply Chain Data Analyst: Professionals interested in supply chain management can work as supply chain data analysts. They analyze supply chain data to optimize operations, enhance efficiency, and reduce costs.
Risk Analytics Specialist: Graduates skilled in risk analytics can explore roles as risk analytics specialists. They assess and mitigate risks across various business functions using data-driven approaches.
Data Visualization Specialist: Professionals proficient in data visualization tools can work as data visualization specialists. They design visual representations of data to aid in understanding and decision-making processes.