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The Artificial Intelligence, Data and Management Sciences programme at ESSEC Business School - Paris offers a cutting-edge curriculum designed to bridge the gap between advanced AI technologies, data analytics, and business management. This interdisc...
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Duration
48 Months
Degree Level
Masters
Field of Study
Business & Management
Intl. Fee
33000 EUR
Intake
September
Deadline
June 30
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The Artificial Intelligence, Data and Management Sciences programme at ESSEC Business School - Paris offers a cutting-edge curriculum designed to bridge the gap between advanced AI technologies, data analytics, and business management. This interdisciplinary course equips students with the knowledge and skills to harness AI and data-driven decision-making within modern organizations. With a strong emphasis on practical applications, students engage in projects that integrate machine learning, data science, and managerial strategies to solve real-world business problems. The programme prepares graduates for leadership roles in the evolving digital economy, fostering innovation, strategic thinking, and ethical considerations in AI deployment. ESSEC’s renowned faculty, combined with its international network, provides a dynamic learning environment that supports personal growth and professional excellence. Designed for ambitious individuals seeking to transform businesses through AI and data, this programme is a gateway to impactful careers across diverse industries.
This programme is ideal for individuals with a strong quantitative background who aspire to lead digital transformation initiatives in business. Candidates passionate about AI, machine learning, data analytics, and their applications in management will benefit greatly. Professionals seeking to enhance their skills for roles such as data scientist, AI strategist, or business analyst should consider this course. It also suits recent graduates aiming for specialized expertise in AI-driven management to gain a competitive edge in the job market.
Graduates are equipped to pursue careers in diverse sectors including technology, consulting, finance, and retail. Typical roles include AI project manager, data analyst, machine learning engineer, and business intelligence consultant. The programme’s strong emphasis on practical skills and strategic insight prepares students for leadership positions driving innovation and digital transformation. Alumni have joined multinational corporations, startups, and research institutions worldwide, leveraging their interdisciplinary training to create impactful solutions in the AI and data economy.
Applicants must hold a bachelor’s degree or equivalent from a recognized institution. A strong academic record in quantitative disciplines such as computer science, engineering, economics, or business is preferred. Candidates should demonstrate proficiency in mathematics, statistics, and programming fundamentals. The application process includes submission of academic transcripts, a CV, letters of recommendation, and a statement of purpose outlining career goals and motivation. Competitive GRE or GMAT scores may be required, depending on the applicant’s background. Additionally, non-native English speakers must meet the English language proficiency criteria. The admissions committee seeks candidates with analytical aptitude, leadership potential, and a passion for integrating AI and data science in management contexts.
Indian applicants should hold a recognized bachelor’s degree with a strong academic record, preferably in STEM or business-related fields. Submission of GRE or GMAT scores is recommended to strengthen the application. English proficiency tests such as IELTS or TOEFL must meet ESSEC’s standards. Indian candidates must also provide detailed transcripts, a CV, recommendation letters, and a statement of purpose highlighting their motivation and career plans. Demonstrating relevant work experience or internships in AI, data analytics, or management is advantageous. Early application is encouraged due to high competition and visa processing times.
Applicants must demonstrate English proficiency through tests such as IELTS (minimum 7.0), TOEFL iBT (minimum 100), or equivalent. ESSEC Business School requires a strong command of academic and professional English to ensure students can engage fully in coursework, group projects, and presentations. Alternative proofs of proficiency, such as prior education in English or other recognized certifications, may be considered upon review.
Indian students must plan their application and visa process well in advance due to high demand and processing times. It is crucial to submit all required documents, including academic transcripts, English proficiency scores, and standardized test results on time. ESSEC’s admissions committee looks for candidates with strong quantitative skills and motivation aligned with the programme objectives. Understanding French visa requirements and maintaining compliance post-arrival is essential. Students should budget for living expenses in Paris, which can be relatively high. Engaging with the Indian student community and ESSEC’s support services can ease cultural transition and academic success.
International Tuition Fee
33000 EUR
Home/Local Tuition Fee
33000 EUR
* Fees are subject to change. Please verify with our counselors or the university website.
Approximately 29,40,000 INR (based on current exchange rates, subject to variation).
The tuition fee for the Artificial Intelligence, Data and Management Sciences programme is 33,000 EUR per academic year. This fee covers tuition, access to campus facilities, and academic resources. Additional costs such as accommodation, living expenses, and insurance are not included. Payment plans and scholarship options may help manage the financial investment required.
ESSEC Business School offers merit-based scholarships for outstanding applicants, including tuition fee waivers and partial financial aid. Scholarships are awarded based on academic excellence, leadership qualities, and motivation demonstrated through the application. Specific scholarships may target candidates from underrepresented regions or those with exceptional professional experience. Applicants are encouraged to apply early and submit all required documents to be considered. In addition, external scholarship opportunities and financial aid options may be available through government and private organizations supporting international education.
International students admitted to the programme must obtain a long-stay student visa to study in France. The visa application requires proof of admission, financial resources, health insurance, and accommodation arrangements. ESSEC provides guidance and support throughout the visa process, including issuing necessary documents such as the certificate of enrollment. Students should apply for their visa well in advance to account for processing times. Upon arrival, students must register with the local French authorities and validate their visa as per regulations.
International students from outside the EU/EEA must secure a student visa before arriving in France. The process involves submitting an application to the French consulate in the home country with required documents including admission letter, proof of finances, accommodation, and health insurance. ESSEC assists students with preparatory steps and documentation. After arrival, students must validate their visa with the French immigration authorities (OFII) and may need to register with the local university services. Maintaining visa status requires full-time enrollment and adherence to French regulations.
Upon completing the programme, graduates may apply for a temporary residence permit allowing them to stay in France for up to 12 months to seek employment or start a business. This post-study work opportunity enables international alumni to explore job prospects in AI, data science, and management sectors within France and the European Union. Additionally, the strong alumni network and ESSEC’s corporate connections enhance job placement potential. Graduates can also leverage their degree to pursue doctoral studies or professional certifications.
"We recommend prospective students thoroughly research the Artificial Intelligence, Data and Management Sciences programme at ESSEC Business School to understand its unique blend of technical and managerial education. Early application is advised to maximize chances of admission and scholarship awards. Candidates should prepare by strengthening quantitative skills and gaining relevant experience or certifications in AI or data analytics. Engaging with ESSEC’s admissions team and attending informational webinars can provide valuable insights. Consider financial planning for tuition and living costs, and explore scholarship options early. This programme is ideal for those committed to becoming leaders in AI-driven business innovation with a global perspective."
Work experience is not mandatory but can strengthen your application, especially relevant internships or roles in AI, data science, or management.
Depending on your academic background, GRE or GMAT scores may be optional. Check specific requirements on the ESSEC admissions page.
Applicants must provide IELTS (minimum 7.0) or TOEFL iBT (minimum 100) scores or equivalent proof of English proficiency.
Yes, ESSEC offers merit-based scholarships for international students based on academic excellence and leadership potential.
ESSEC provides guidance and necessary documentation to assist international students in the visa application process.
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