12 months
Duration
11130 USD/year
Unknown
Tuition fee
Passed
Unknown
Apply date
Unknown
Start date

About

During the last decade, there has been a dramatic increase in the size and complexity of data collected by both Industry and the Academic community. Examples include genomic and proteomic data on one hand, and social media and electronic commerce data on the other. The Statistics programme is offered by the University of Haifa.

Visit the official programme website for more information

Overview

The Statistics programme is offered by the University of Haifa . The availability of such vast quantities of data is having a large impact on both academic research and business practices. In particular, it is changing the nature and focus of the statistical profession.

The Department of Statistics at the University of Haifa is dedicated to providing its students with a rigorous, modern and up to date education in this exciting era for our profession. We focus on fundamentals while teaching the newest methods and applications. We emphasize computational know-how, the understanding of statistical ideas, and the ability to apply them. We train our graduates to analyze and draw meaningful conclusions from data, a skill that is becoming ever more important. Our goal is to see out graduates assume leading roles, within the profession, whatever their career choices may be.

The Master of Arts program in Statistics at the University of Haifa in Israel is dedicated to providing you with a rigorous, modern, and up-to-date education in Statistics. You will be trained to analyze and draw meaningful conclusions from data collected in a variety of application areas. This includes clinical trials, finance, genomics, and social media and web/mobile applications. The ability to reason with data is a skill that is becoming ever more important in the current age of Big Data, Data Science, and the Digital Economy.

The cutting-edge curriculum emphasizes computational know-how and the fundamental and core themes of the statistical sciences. At the same time it is also mathematically rigorous and challenging. The program will prepare you for further academic studies as well as for data related leadership roles in various industries including High-Tech, E-commerce, Healthcare, Research and Development and more.

Career:

We are entering a golden age for the statistical sciences and profession. Companies large and small have come to realize that their data is among their most important assets, an asset they should analyze and learn from. Consequently, the demand for statistical expertise, and for statisticians, is rapidly growing. In addition to the traditional jobs in academia, government and the pharmaceutical industry, there is today a huge demand in modern applications such as finance, e-commerce, and social media to name a few. In some of these settings, statisticians go by the name of data scientists. The data explosion is also fueling research in new methods and models.

Graduates of our program have found employment in a variety of settings. Some have gone to assume academic positions. The majority, however, have found work in either industry and/or government. This includes large companies such as the Israeli Electric Company, the Israeli Ministry of Health, and Pharmaceutical companies such as Teva. Other graduates have preferred to work for smaller companies in various industries including the biomedical arena and as consultants in such companies as Boston Consulting. Recent graduates have found work as data scientists in the high-tech sector with transnational companies such as Intel and Microsoft.

Programme Structure

The Non-Thesis Track lasts for three consecutive semesters over 12 months. In addition to a non-thesis track a Thesis Track is offered, which takes five semesters over 24 months. The courses include:

  • Probability
  • Applied statistics I
  • Algorithms for data analysis
  • Stochastic process with applications
  • Statistical Inference
  • Applied statistics II
  • Statistical learning theory
  • The analysis of large and high dimensional data sets
  • Statistical Consulting Project
For more information, please visit the programme's website.

Key information

Duration

  • Full-time
    • 12 months

Start dates & application deadlines

Language

English

Credits

40 units alternative credits

Delivered

On Campus

Academic requirements

GPA admission requirements GPA Your GPA, or Grade Point Average, is a number that indicates how well or how high you scored in your courses on average. Usually a GPA scales between 1.0 and 4.0, however different countries and universities can have different grading systems.
3

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Requirements:

  • Undergraduate degree in Statistics, Mathematics, Computer Science or Engineering (or other quantitative background). Some background in probability and statistics is required;
  • GPA: 80%, 3.0;
  • TOEFL scores (if native language is not English or candidates have not previously studied at an institution of higher education where the language of instruction is English). A minimum of 570 (paper-based test), 230 (computer-based test), or 89 (internet based test)
  • 2 Recommendation letters
  • Personal Statement (500-700 words)
  • Skype interview

Tuition Fee

  • International

    11130 USD/year
    Tuition Fee
    Based on the original amount of 11130 USD for the full programme and a duration of 12 months.

Funding

Some of the MA programs have a limited number of scholarships available for students based on financial need. Students who are in financial need are encouraged to submit an application. 

In addition to the University of Haifa need-based scholarship you can also submit applications to all other scholarship opportunities for which you are eligible (MASA, local Jewish Federation, etc.). 

Find out more by visiting the University website!

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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Updated in the last 3 months

Check the official programme website for potential updates.

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