207 סטטיסטיקה

כללי

תואר ראשון

תואר שני

תואר שלישי

International Program - Statistics

כללי

תואר ראשון

תואר שני

תואר שלישי

International Program - Statistics

השנתון נחתם בתאריך 3 במרץ 2024 ומאז לא בוצעו בו שינויים

הוראות האוניברסיטה ותקנותיה נתונות לשינויים בידי הגופים המוסמכים. כל שינוי שייעשה במרוצת השנה יחול על כל התלמידים או על חלקם, הכל על־פי העניין וזאת מבלי שתוטל אחריות או חבות כלשהי על האוניברסיטה בקשר לכך. מבלי לפגוע בכלליות האמור לעיל, תהא רשאית האוניברסיטה, לפי שיקול דעת הגופים המוסמכים, לשנות, לרבות במהלך שנת הלימודים, את האופן, המבנה, השיטה, המיקום, התקופה (קיצור או הארכה) של כל שירות, חוג, יחידה או תכנית לימודים ולא יראו בקבלת החלטה בדבר שינוי כאמור משום הפרת התחייבות כלשהי של האוניברסיטה כלפי תלמידיה. מוסדות האוניברסיטה יהיו רשאים לפני תחילת שנת הלימודים או במשך שנת הלימודים, לקבל החלטה להפעלה חלקית של האוניברסיטה או לסגירתה לחלוטין, לביטול שירות, חוג, יחידה כלשהם לתקופה כלשהי, מחמת נסיבות בלתי צפויות ו/או אילוצים עניניים ו/או תנאים מיוחדים שאינם תלויים באוניברסיטה, אשר ימנעו המשך קיום פעילותה הסדירה של האוניברסיטה כמתוכנן (כגון קיצוץ בתקציב האוניברסיטה), ולא יראו בקבלת החלטה כזו משום הפרת התחייבות כלשהי של האוניברסיטה כלפי תלמידיה. הנהלת האוניברסיטה שומרת לעצמה זכות להכניס שינויים בתכנית הלימודים וברשימת השיעורים, וכן להודיע על ביטול קורסים, לגביהם יהיה מספר קטן של נרשמים. נתקבלה החלטה, כאמור, תודיע על כך האוניברסיטה לתלמידיה הנוגעים בדבר בציון התוצאות הנובעות מן ההחלטה.

The academic catalog was signed on March 3, 2024 and it has not been edited since then

The provisions of the University and its regulations are subject to changes by the authorized entities. Any change made during the year shall apply to all students or to some of them, as the case may be, without imposing any responsibility or liability on the University in this regard. Without derogating from the generality of the aforementioned, the University may change the manner, structure, method, location, period (shortening or extending) of any service, class, unit or curriculum, at the discretion of the authorized entities, including during the academic year, and reaching a decision in regards to said change shall not be viewed as a breach of any obligation of the University towards its students.
Prior to the commencement of the academic year or during the academic year, the institutions of the University may reach a decision regarding the partial operation of the University or the complete closing thereof, cancelation of any service, class, unit for any period of time due to unexpected circumstances and/or practical constraints and/or special conditions that are not within the control of the University, which shall prevent the continuation of the regular activities of the University as planned (such as University budget cuts), and reaching such a decision shall not be viewed as a breach of any obligation of the University towards its students.
The University management reserves the right to make changes in the curriculum and the list of classes and to provide notice of the cancellation of courses for which there is a small number of registrants.
If said decision is made, the University shall notify its relevant students, stating the outcome of the decision.
Provisions of these terms refers to both men and women and the use of the masculine is for convenience only.

Department of Statistics The Faculty of Natural Sciences Head of Program: Prof. Philip Tzvi Reiss
Program description During the last decade there has been a dramatic increase in the size and complexity of data collected in industry, government and academia. Examples range from genomic and proteomic data to social media and electronic commerce data. 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 our graduates assume leading roles in whatever their career paths they choose to follow.
What you will study The International Master of science 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. Our 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. The one-year program (non-thesis track) is taught in English over 3 consecutive semesters. A thesis track is also offered to those students who are interested in continuing to PhD. Your academic studies at the University of Haifa will be enhanced with networking opportunities with students from Israel and all over the world as well as by vibrant life on and off campus, which will acquaint you with Israeli culture, language, and start-up mentality. Courses: The non-thesis track consists of three consecutive semesters over 12 months. The thesis track takes five semesters over 24 months. The courses include: · Probability · Statistical Modles for Data Science · Optimization for data analysis · Stochastic process and Simulation · Statistical Inference · Deep Learning · Statistical learning theory · The analysis of large and high dimensional data sets · Final Project: Data Science Practicum Program Duration: Full-time students complete the program in one academic year, spread over three semesters, from October to the end of July. All coursework for the program should be completed during the first two semesters, while the third semester is dedicated to supervised independent projects. Evaluation: The final grade will be assessed as follows. Thesis Track Course grades – 50% Thesis grade – 50% Non-Thesis Track Course grades – 80% Final project – 20% Diploma: Master of Science in Statistics Further information regarding the program: Administrative Coordinator: Ms. Hana Abraham E-mail: habraham@univ.haifa.ac.il Program Website: https://statistics.haifa.ac.il/en/human-biology-faculty-of-natural-sciences/