Statistics - Data Science

  • //applyindex.com/wp-content/uploads/2022/03/israel.png Israel
  • University/Institute Name University of Haifa
  • Attendance Type On Campus (Full Time)
  • Position Duration1 year
  • Application deadlineAug 2026

Position Details (Master's)

The International Master of Arts program in Statistics - Data Science at the University of Haifa serves as a gateway to versatile career prospects.

The International Master of Arts program in Statistics - Data Science at the University of Haifa provides students with mastery of statistical analysis to decipher data trends, optimize strategies, derive impactful insights, and create data-driven decision making. All of these skills set our graduates apart, giving them a competitive edge in the job market and making them invaluable assets across industries

As the world becomes increasingly data-centric with exponential data growth and technological advancements, so has the demand for skilled data scientists and capable experts in big data analytics.

Program highlights:

  • An opportunity to gain a competitive advantage in the job market with a relevant and crucial profession in the current age of Big Data, Data Science, and the Digital Economy.
  • Prepares students for data-related leadership roles in Hi-Tech, E-commerce, Healthcare, Research & Development, and more.
  • Provides proficiency in data driven analysis & conclusion in clinical trials, finance, genomics, social media, and web and mobile applications.
  • Incorporates a cutting-edge curriculum which emphasizes computational know-how and core themes of statistical sciences and math.
  • Trains students to use statistical analysis and applied research to support intelligent human or machine-based decision making.
  • Diverse scholarship options for eligible students.

Careers and opportunities

  • Graduates with a bachelor’s degree in relevant fields such as Statistics, Computer Sciences, Engineering, Math, and Economics may strongly benefit from this data-driven program.

Courses include:

  • Probability
  • Algorithms for Data Analysis
  • Stochastic Processes with Applications
  • Statistical Inference
  • Analysis of Large and High Dimensional Data
  • Statistical Learning Theory

Research Areas & Fields of Study involved in the position

Position Start Date

Nov 2026