MSc in Management of Artificial Intelligence

Paris

 

INTAKE: September

Program Overview

The MSc in Management of Artificial Intelligence at ESSCA School of Management offers an advanced program aimed at preparing students for managerial roles in the rapidly evolving field of artificial intelligence (AI). It integrates business management principles with a focus on AI technologies, addressing the growing demand for professionals skilled in AI management.

Curriculum: The curriculum encompasses a blend of AI concepts, business strategy, data analytics, machine learning, and ethical considerations in AI. Students gain insights into AI's applications in business contexts, understanding its impact on industries and society.

Research Focus: ESSCA encourages research initiatives exploring AI's business applications, ethical implications, and its role in shaping industries. Students engage in research projects delving into AI innovations, its societal impact, and strategies for AI implementation in various sectors.

Industry Engagement: The program emphasizes industry engagement through collaborations with tech companies, AI-driven enterprises, and consultancy firms. Students benefit from practical experiences, internships, and guest lectures by industry experts.

Global Perspective: Recognizing the global influence of AI, the program adopts a global perspective. It explores international AI trends, cross-cultural implications of AI implementation, and global AI strategies, preparing students for a career in a global AI-driven landscape.

Pollster Education

Location

Paris

Pollster Education

Score

IELTS 6.5

Pollster Education

Tuition Fee

€ 17900

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 60% or higher in the previous academic degree.

English Language Proficiency:

  • IELTS Scores: For postgraduate studies, the required overall band score may range from 6.5 to 7.0, with minimum band scores of 6.0.

Students must provide:

  • academic marksheets & transcripts
  • letters of recommendation
  • a personal statement - SOP
  • passport
  • other supporting documents as required by the university.

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.

ESSCA School of Management is supporting international students through various scholarship opportunities. These scholarships are designed to recognize academic excellence, promote diversity, and provide financial assistance to talented individuals seeking to pursue their education at ESSCA. 

Merit-Based Scholarships: ESSCA offers merit-based scholarships to outstanding international students with exceptional academic achievements. These scholarships often cover a percentage of tuition fees and are awarded based on academic records, leadership qualities, and extracurricular involvement.

Need-Based Financial Aid: The institution provides need-based financial aid to support students who demonstrate financial need. These scholarships aim to ensure that deserving candidates have access to quality education regardless of their financial background.

Diversity Scholarships: ESSCA values diversity and encourages students from various cultural, geographical, and socioeconomic backgrounds to apply. Diversity scholarships are available to promote an inclusive learning environment, fostering a global perspective among students.

Country-Specific Scholarships: In certain cases, ESSCA offers scholarships tailored to students from specific countries or regions. These scholarships are intended to attract talent from diverse parts of the world and strengthen the international community at the school.

Partner Institution Scholarships: ESSCA has partnerships with various institutions and organizations worldwide. Through these partnerships, eligible students may have access to specific scholarships or exchange programs.

Graduates from the MSc in Management of Artificial Intelligence program at ESSCA School of Management possess a unique blend of managerial skills and expertise in artificial intelligence, enabling them to explore various career paths in the rapidly evolving AI-driven landscape.

AI Project Manager: Graduates can pursue roles as AI project managers, overseeing the planning, implementation, and execution of AI projects within organizations, ensuring alignment with business objectives.

Data Analyst or AI Specialist: Careers in data analysis or AI specialization involve leveraging AI and machine learning techniques to analyze data, extract insights, and develop AI models for businesses.

AI Strategy Consultant: Graduates can work as AI strategy consultants, advising companies on integrating AI into their business strategies, identifying opportunities for AI adoption, and navigating ethical implications.

AI Product Manager: Roles in AI product management involve conceptualizing and managing the development of AI-driven products or services, ensuring they meet market demands and align with business goals.

AI Ethics Officer: Careers in AI ethics focus on ensuring ethical AI practices within organizations, setting guidelines, and addressing ethical considerations related to AI implementation.

Business Intelligence Manager: Graduates can pursue roles as business intelligence managers, utilizing AI tools to collect and analyze data, providing actionable insights for informed decision-making.

AI Implementation Specialist: Roles involve specializing in the implementation of AI solutions within organizations, ensuring seamless integration and optimizing AI applications for operational efficiency.

AI Innovation Strategist: Graduates can work as innovation strategists, identifying opportunities for AI-driven innovations, fostering a culture of innovation, and driving AI-related initiatives within companies.

AI Entrepreneur: Some graduates may choose entrepreneurship, starting their AI-driven ventures, developing innovative AI solutions, or providing AI consultancy services.

AI Researcher: Careers in AI research involve contributing to the advancement of AI technologies, exploring new AI models, and conducting research on AI's societal impact.


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