Join one of the world leading universities for a program that boosts your career! the program is aimed at a wide variety of students who are interested in statistics. A bachelor's or master's degree, a solid background in mathematics and computer science see faq for prospective students and very good grades are expected. The diploma requires in total 90 credit points: 60 credits from core courses and elective courses from both statistics/mathematics and a field of application and 30 credits from the master thesis. As examples, we give three detailed suggestions for possible study tracks: basic. These tracks should help you to focus they will not be mentioned on your diploma certificate. Our program gives an excellent start for future careers in: universities, research institutes, pharmaceutical industry, insurance industry, financial industry, marketing, statistical consulting, data science.

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The thesis is normally chosen within one of the research areas of the statistics group. The work with the thesis will normally be spread over two semesters, namely third and fourth semester of the master study. One is advised to choose courses that support the special area for the thesis work. The student has a thorough knowledge and understanding of a limited topic within probability theory and statistics. The student is able to conduct an independent research project and to communicate theories, ideas, problems and solutions in the current topic, both written and orally. The program is designed to prepare students for careers in industries that require statistical skills.

The focus is on tackling statistical challenges encountered by industry rather than preparing for a phd. The program is for full time students and is designed to be completed in two semesters fall and spring. Students must complete a minimum of 24 units of courses and pass a comprehensive examination. In the first semester, all students will take intensive graduate courses in probability, theoretical statistics, and statistical computing the typical courses are stat 201a, 201b, and 243.

In the second semester, students will take an advanced course in modern applied statistics stat 230 , an elective, and a capstone course. The capstone will consist of a team based learning experience that will give students the opportunity to work on a real world problem and carry out a substantial data analysis project. The elective will depend on the student’s interests and will be decided in consultation with advisers. For a complete list of courses offered by the department and course descriptions, please visit the academic guide. Must be letter graded unless the course is only offered on a satisfactory/unsatisfactory s/u basis. Shortly before spring classes begin in january, students will take a comprehensive exam on the theoretical foundations of statistics. There will be a two hour exam on the material of 201a and a two hour exam on the material of 201b.

Typically, this will be when either the option has been offered to the student at the time of admission, or if the student arrives with substantial progress in research in an area of interest to our faculty. If approved for the thesis option, you must find three faculty to be on your thesis committee. Though not required, it is strongly encouraged that one of the faculty be from outside the statistics department. Please provide a short description of your thesis topic, the names of your committee members and the signature of your committee chair on the worksheet for the m.a. In addition, you will also need to complete graduate division’s application for candidacy for the master's degree plan 1 thesis course selection will be done in consultation with statistics department ma advisors. Some students do take additional courses, including courses in other departments, depending on their background and level of preparation.

Other professional graduate programs on campus all have their own policies for enrollment in their courses. After appropriate consultation with statistics ma advisors, students will need to check these policies before registering for such courses. Elective courses are chosen with the guidance and approval of the ma program advisor. Examples of past electives: stat 260: topics in probability and statistics compsci 294: special topics in computer science topics vary widely for special topics courses stat 241a: machine learning ind eng 263a: applied stochastic process i there is no transfer arrangement into the phd program. To gain acceptance into the phd program, you must apply along with all other applicants, and you will be considered in the same way as other applicants.

Students should know that admission to the uc berkeley statistics phd program is highly competitive. There are two main changes, motivated by student feedback but primarily by the explosion in the demand for well trained statisticians in industry. First, the program has changed from a two year program for half time students to a one year program for full time students. Second, there is an emphasis on students receiving hands on experience with modern data analysis to prepare them for jobs in industry. The level and number of requirements has not diminished if anything, the intensity of work has increased. As a result of all of the changes, the new program has an excitement, focus, and direction that is of great benefit for students going to industry. Students must apply to advance to candidacy in the semester in which they plan to graduate and have completed all coursework or be currently enrolled in the courses required to complete the degree.

In order to apply for advancement to candidacy, you need to complete the worksheet for the m.a. The worksheet will have to be signed by their designated ma program advisor before submission. Thesis option, you will have to complete the worksheet for the ma in statistics, thesis option. As well as the graduate division’s application for candidacy for the master's degree plan 1 thesis . You must apply for advancement to candidacy by the end of the third week of the semester in which you plan to graduate and be registered or on approved filing fee in the semester in which you sit for the written examination or file your thesis. Coursework requirements and need only to take the written exam or file your thesis, you might be eligible for the filing fee option. To be eligible for filing fee, you must have a minimum of two semesters of academic residence and were registered in the previous semester.

If you have other questions regarding filing fee eligibility, please visit the graduate division website. If you already have a master's degree from any institution including uc berkeley and are applying for advancement to candidacy for a master's degree in statistics, you must: provide a transcript unofficial one list courses used for your previous master's degree on the second page of the worksheet for the m.a. In statistics please submit your completed paperwork to the master's program coordinator at 367 evans hall for review by the m.a. The department deadline to turn in paperwork is by the end of the third week of the semester in which you plan to graduate. Each semester, graduate students have till the friday of the third week of classes to add/drop courses on telebears. If you want to add/drop courses after the third week, you will have to complete a form called the graduate petition to change class schedule. After completing the form, please submit it to the ma program coordinator in 375 evans so that it can be processed.

The form can be given in person or put in the ma program coordinator's mailbox in 367 evans. It must be submitted before the last day of classes in each semester, which occurs before the week of final exams. Students are expected to study full time and finish the program in two semesters.