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Master of Artificial Intelligence and Data Science Overview
At Paris International University, our Master of AI and Data Science program stands at the forefront of the technological revolution reshaping industries worldwide. This program empowers students to harness the transformative power of artificial intelligence (AI) and data science, pivotal forces driving innovation across diverse sectors.
In today's digital era, data has emerged as a cornerstone of modern economies, offering unparalleled insights and opportunities for innovation. AI technologies not only optimize processes but also revolutionize fields such as healthcare, creative arts, and beyond, enhancing everything from medical diagnoses to artistic creation.
The demand for skilled professionals who can navigate and innovate within this dynamic landscape has never been more urgent. Our program is designed to equip graduates with a deep understanding of AI and data science, preparing them to tackle complex challenges and capitalize on emerging opportunities in a rapidly evolving global economy.
Whether you aspire to advance healthcare outcomes, pioneer creative technologies, or drive business efficiency through data-driven insights, the Master of AI and Data Science at Paris International University provides the knowledge, skills, and practical experience needed to thrive at the forefront of this transformative field.
Master of Artificial Intelligence and Data Science Objectives
• Gain a comprehensive understanding of artificial intelligence (AI) principles, algorithms, and techniques.
• Develop proficiency in applying machine learning and deep learning methodologies to analyze and interpret complex datasets.
• Acquire skills in data mining, data visualization, and statistical analysis to derive actionable insights from large-scale data.
• Learn to design and implement AI solutions for real-world applications across various industries, such as healthcare, finance, and marketing.
• Master programming languages and tools essential for AI and data science, such as Python, R, TensorFlow, and PyTorch.
• Collaborate on interdisciplinary projects to solve complex problems using AI and data science approaches
• Prepare for leadership roles in AI research, development, and implementation within organizations.
Who should attend?
The Master of AI and Data Science at Paris International University is ideally suited for the following individuals:
• Tech Enthusiasts: Individuals passionate about artificial intelligence, machine learning, and data science, eager to deepen their knowledge and skills in these cutting-edge fields.
• STEM Graduates: Recent graduates with a background in science, technology, engineering, or mathematics (STEM) looking to specialize in AI and data science for career advancement.
• IT Professionals: Professionals working in IT, software development, or data analysis seeking to transition into roles focused on AI research, data engineering, or machine learning applications.
• Business Analysts and Consultants: Those interested in integrating data-driven insights and AI technologies to enhance decision-making, strategy development, and operational efficiency within organizations.
• Industry Practitioners: Professionals from diverse sectors such as healthcare, finance, marketing, and engineering aiming to leverage AI and data science to innovate and solve industry-specific challenges.
• Entrepreneurs: Individuals planning to launch startups or innovate within existing businesses by leveraging AI-driven solutions to drive growth, efficiency, and competitive advantage.
• Career Changers: Individuals from non-technical backgrounds interested in transitioning into high-demand roles in AI and data science, supported by foundational coursework and practical experience.
This program welcomes motivated individuals eager to explore, innovate, and lead in the rapidly evolving fields of artificial intelligence and data science, preparing them for impactful careers in a technology-driven world.
Learning Outcomes:
• Ability to critically evaluate and integrate advanced AI and data science techniques to solve complex, novel problems in various domains.
• Proficiency in deploying AI models and algorithms at scale, considering computational efficiency, scalability, and real-time processing requirements.
• Skills in communicating complex technical concepts and insights effectively to diverse stakeholders, including non-technical audiences and decision-makers.
• Capability to adapt to rapidly evolving technologies and methodologies in AI and data science through continuous learning and professional development.
• Understanding of regulatory and ethical considerations surrounding AI and data usage, and ability to apply ethical frameworks in decision-making and development of AI solutions.
• Experience in leading AI and data science projects, including project planning, team management, and strategic implementation to achieve organizational goals.
• Competence in leveraging AI and data science to drive innovation, optimize business processes, and enhance organizational competitiveness in a global market.
Master of Artificial Intelligence and Data Science Courses
The Master will cover AI and Data Science data science methods, emphasizing mathematical and computer science perspectives. Students will receive a thorough grounding in theory, as well as learning the technical and practical skills of data science & Artificial Intelligence enabling them to apply advanced methods of data science to investigate real world questions. It will provide students with comprehensive understanding of some of the most fundamental aspects of data, computational techniques and statistical analysis. The program will combine traditional lectures with computer lab sessions, in which students will work with data to complete hands-on exercises using programming tools, and analyze real data provided by professionals who are working in the industry.
The Master of Artificial Intelligence and Data Science covers the following topics:
• Artificial intelligence
• Machine learning
• AI applications
• Business data analytics
• Advanced probability
• Data management
• Data visualization
• Ethics in AI
• Mathematical statistics
• Natural language processing
• Big data
• Artificial Intelligence and Data Science
Duration: 12 Months
Language: English
Benefits
Candidates will enjoy the following program benefits
• Practical Application: Acquire hands-on experience in applying AI and data science techniques to real-world problems, preparing you to tackle industry challenges from day one.
• Career Acceleration: Gain specialized skills sought after by top employers, enhancing your employability and positioning you for senior roles in AI research, data analytics, and technology innovation.
• Industry Connections: Network with industry professionals, guest speakers, and alumni, expanding your professional network and accessing career opportunities across global markets.
• Project-Based Learning: Engage in industry-relevant projects and case studies, building a portfolio that demonstrates your ability to deliver impactful AI solutions in diverse sectors.
• Leadership Development: Develop leadership skills in AI project management, team collaboration, and strategic decision-making, preparing you to lead AI initiatives within organizations.
• Innovation and Entrepreneurship: Explore opportunities to innovate and launch AI-driven products or startups, supported by a comprehensive understanding of AI technologies and market trends.
• Continuous Growth: Access lifelong learning resources and stay updated on the latest advancements in AI and data science through workshops, seminars, and ongoing professional development opportunities.
Admission
Admission Requirements:
English language Requirements
Applicants for the Master’s program who completed their schooling and/or bachelor’s program in English at a recognized school are exempt from taking an English exam
In case English test is required the applicant needs to take one English Exam of the following
• Test of English as a Foreign Language (TOEFL PBT) – minimum score: 60
• International English Language Test (IELTS) – minimum score: 6.5
• English admission test provided by PIU – Min Grade pass
• Provide other English Language Proficiency proof which is subject to University Management approval
Academic and Credentials Requirements:
• Copy of University degree (bachelor/ license certificate)
• Copy of official transcripts
• Any other post graduate certificate/ diploma
Personal Documents Requirements:
• Copy of or Passport or ID
• Two recent colored Photos
• Applicant updated CV
Financial Requirements:
• Program first payment as announced
• Application Fees
Other Requirements
• PIU application and Student contract
• Signed copy of policy and procedures
Graduation
Successful Candidates who are eligible for graduation must fulfill the following conditions:
Technical Requirements:
• Completion of Required Courses: Successfully finish all courses outlined in the program curriculum.
• Minimum Passing Grades: Achieve passing grades in all courses, meeting the minimum grade requirements specified by the program.
• Fulfillment of Credit Hour Requirements: Satisfy the credit hour requirements of the program by earning a specific number of credits through successful completion of courses.
• Complete the project, thesis, or final assessment demonstrating
Financial Requirements
• Financial Obligations: Settle all financial obligations to the institution, including payment of tuition fees and any outstanding balances
• Any pending balance; including any additional charges or late payments
Documentation Requirements:
• Submit any required documentations or administrative documents specified by the institution