ME Master in Computer Engineering - Data Science & Artificial Intelligence

Paris

 

INTAKE: September

Program Overview

EPITA offers an advanced Master in Computer Engineering (ME) program specializing in Data Science & Artificial Intelligence. This program is designed to equip students with comprehensive knowledge and advanced skills in data science and artificial intelligence (AI) applications.

Curriculum: The ME program in Data Science & Artificial Intelligence at EPITA features a comprehensive curriculum covering various facets of data science, machine learning, deep learning, statistical analysis, big data technologies, natural language processing, and AI ethics. The coursework blends theoretical concepts with practical applications, enabling students to analyze complex datasets and develop AI-driven solutions.

Research Focus: EPITA emphasizes research in data science and AI, encouraging students to engage in research projects exploring innovative AI algorithms, data analytics methodologies, AI-driven decision-making, and applications across diverse domains. Faculty members, experts in data science and AI, mentor students in conducting research contributing to the advancement of AI technologies.

Industry Engagement: The program maintains robust connections with industry partners, facilitating internships, collaborative projects, and workshops with leading tech companies, research institutions, and AI-driven enterprises. Through these partnerships, students gain practical exposure to real-world data problems, AI tools, and industry-relevant AI applications.

Global Perspective: EPITA's Data Science & Artificial Intelligence program integrates a global perspective by addressing AI and data science challenges in various international contexts. The curriculum includes case studies and projects inspired by global scenarios, exposing students to diverse international practices and preparing them to develop scalable AI solutions for global markets.

Pollster Education

Location

Paris

Pollster Education

Score

IELTS 6

Pollster Education

Tuition Fee

€ 11000

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 6.0 to 6.5, with minimum band scores of 5.5.

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.

EPITA's fostering academic excellence and inclusivity is reflected in its diverse range of scholarship opportunities, ensuring that talented and deserving international students have the support they need to pursue their education at the graduate school of computer science in France.

Excellence Scholarships: EPITA extends merit-based scholarships to exceptional international students with outstanding academic records. These scholarships recognize and reward academic excellence in computer science-related fields, covering a percentage of tuition fees.

Diversity Scholarships: Emphasizing diversity and inclusion, EPITA offers scholarships to students from diverse backgrounds, cultures, and regions. These scholarships aim to foster a multicultural learning environment and support individuals who contribute to diversity on campus.

Need-Based Scholarships: EPITA provides financial aid based on students' financial needs. These scholarships assist deserving candidates who demonstrate financial hardship, ensuring that talented individuals have access to quality education regardless of their economic circumstances.

Partner Institution Scholarships: EPITA collaborates with various partner institutions worldwide and offers scholarships to students recommended by these partners. These scholarships often include tuition fee waivers or discounts for students referred by EPITA's partner universities.

Government and External Scholarships: EPITA assists students in applying for government-funded scholarships from their respective home countries. Additionally, the school provides guidance on external scholarship opportunities offered by organizations and foundations to support international students' educational journeys.

Graduates from EPITA’s Master in Computer Engineering program with a specialization in Data Science & Artificial Intelligence can pursue diverse career paths.

  1. Data Scientist: Graduates can work as data scientists, employing statistical analysis, machine learning, and data mining techniques to extract insights from complex datasets and develop predictive models.

  2. Machine Learning Engineer: Opportunities exist for graduates to specialize in machine learning, designing and implementing algorithms that enable computers to learn and make predictions from data.

  3. AI Research Scientist: Careers in AI research involve contributing to the development of innovative AI algorithms, exploring new AI methodologies, and solving complex problems in artificial intelligence.

  4. Business Intelligence Analyst: Graduates can work in roles focused on business intelligence, analyzing data to provide insights that support strategic decision-making in organizations.

  5. AI Solutions Architect: Roles involve designing and implementing AI-driven solutions tailored to meet specific business needs and challenges.

  6. Data Engineer: Graduates can specialize in data engineering, managing large datasets, designing data pipelines, and maintaining data infrastructure for efficient data processing.


Similar Courses
WhatsApp Enquiry Call Enquiry