American University of Beirut

​

Data science and AI Path

​​​​​Description​

A career in data science and AI includes using advanced analytical and computational techniques to retrieve significant insights from complex datasets. Professionals in this field use statistical methods, AI technologies, and machine learning algorithms to solve intricate problems and form data-driven decisions and establish innovative solutions.

Here are some common careers in data science and AI:

  • Data Scientist
  • Machine Learning Engineer​
  • AI Research Scientist
  • AI Engineer
  • Data Analyst
  • Business Intelligence (BI) Analyst
  • Data Engineer
  • Quantitative Analyst
  • AI Product Manager
  • Computer Vision Engineer
  • Natural Language Processing (NLP) Engineer
  • AI Ethicist
  • Data Architect
  • Statistical Analyst
  • Predictive Modeler
  • IoT Data Scientist

Requirements​

Academic

Minor or Track in Artificial Intelligen​​ce​

Applied experience

​Data Science and AI focused OR at least one research semester

Extracurriculars

Relevant Club/Society membership

AND Participation in a relevant Hackathon/competition 

Career Readiness

CDC online modules​

Recommended

MentorPlus+ Program  ​​

Final Year Project in Artificial Intelligence​ and Data science​​



Skills needed

  • Programming Languages
  • Statistical Analysis
  • Machine Learning
  • Data Manipulation and Cleaning
  • Data Visualization
  • Deep Learning
  • Natural Language Processing (NLP)​
  • ​Big Data Technologies
  • Database Management
  • Cloud Computing
  • Critical Thinking
  • Strong problem-solving skills
  • Predictive Modeling
  • Communication
  • ​Team Collaboration
  • Project Management
  • Continuous Learning
  • Adaptability
  • Attention to Detail

Useful links

  • KDnuggets
    KDnuggets is a comprehensive resource for data science and AI professionals. It covers news, tutorials, job opportunities, and industry trends.
  • Towards Data Science on Medium
    Towards Data Science is a Medium publication that features articles from various authors covering a wide range of data science and AI topics, including tutorials, case studies, and trend analyses.
  • Analytics Vidhya
    Analytics Vidhya is a platform that provides resources, articles, and courses on data science and AI. It covers diverse topics, from beginner to advanced levels.
  • aiTechTrend
    AI Trends focuses specifically on artificial intelligence and provides insights into the latest advancements, industry applications, and emerging technologies.
  • Data Science Central
    Data Science Central is a community-driven platform that offers articles, webinars, and resources covering various aspects of data science, machine learning, and AI.

Contact Us

For various questions, please try contacting us via social media first!
read more

Privacy Statement

We take data privacy seriously and adhere to all applicable data privacy laws and regulations.
read more

Copyright and Disclaimer

Written permission is needed to copy or disseminate all or part of the materials on the AUB website.
read more

Title IX, Non-Discrimination, and Anti-Discriminatory Harassment

AUB is committed to providing a safe and respectful environment to all members of its community.
read more