Bachelor of Science in Statistics (BS Statistics) Program

The BS Statistics program is a four-year course that provides students with a sound understanding of
statistical methods - their underlying theories and their applications. It aims to prepare the students for immediate work as statisticians in government, industry, and research institutions. The program also aims to provide students with a good foundation in pursuing graduate studies in statistics or other related fields.

The program equips students with the necessary skills to design studies, analyze data, manage and
process data using a variety of software packages, and communicate the results of the study to the end-users. This provides graduates of the program with professional flexibility and exciting opportunities for rewarding careers in different fields such as biostatistics, market research, econometrics, actuarial
science, and statistical computing.

ADMISSION REQUIREMENTS:
An applicant from another unit of the University of the Philippines may be admitted to the School of Statistics provided he has obtained a weighted average grade of 2.50 or better for all the statistics and mathematics subjects he has taken in the University, and provided further that the quota set by the Dean has not been filled up.

An applicant from another university may be admitted provided he has obtained a general weighted average grade of 2.0, 86%, B or better and a weighted average grade of 1.75 for all the statistics and mathematics subjects he has taken outside U.P. in addition to satisfying the university's requirements governing transfer students, and provided further that the quota set by the Dean has not been filled up.

For more information, visit the University's Office of Admissions

• BS Statistics Curriculum
• BS Statistics Major Subjects Flowchart
• Course Descriptions
• List of GE Courses

Master of Science in Statistics (MS Statistics) Program

The MS Statistics program prepares its graduates for advanced level work in the profession as well as provides them the necessary foundation for high quality PhD work both in the theoretical and practical aspects.

CORE COURSES
Stat 231 Probability Theory
Stat 232 Parametric Inference
Stat 233 Linear Models
Stat 234 Multivariate Analysis
Stat 250 Sampling Designs

OTHER COURSES
Stat 230 Special Topics in Math for Statistics
Stat 300 Thesis
2 units of Stat 290 Statistical Consulting
12 units of Electives.

ADMISSION AND GRADUATION OF STUDENTS
The student will be considered candidate for graduation upon completion of all required and elective courses with a weighted average of “2.0” or better and and submission of successfully defended Thesis. For the Thesis, the student should be able to demonstrate capability of conducting basic research in statistics. The work should contribute in the body of knowledge in the statistical science. The new knowledge generated from the thesis can be derived analytically or computationally (simulations).

• Course Titles
• Application Form
• Recommendation Form

Master of Statistics (MoS) Program

The MoS program aims to produce practitioners who are knowledgeable with statistical methodologies and capable of the practice of general statistics and in some key areas. Likewise, prepares the students to meet the needs of industry and government for statistical personnel at the supervisory level. The students are provided with a sound understanding of statistical concepts and methods and their applications.

The student will be required to take a validation examination in the areas of Calculus, Matrix Algebra, and Introductory Statistics. If the student failed the examination, one or two of Stat 100, Stat 195, or Stat 117 will be taken during the summer/term prior to admission to the MOS/MS program.

To facilitate monitoring of progress of students, they will be required to submit a concept paper of possible research topic as part of the application requirement.

CORE COURSES
Stat 221 Introductory Probability
Stat222 Introduction to Statistical Inference
Stat 223 Applied Regression Analysis
Stat 250 Sampling Designs
Stat 251 Survey Operations

OTHER COURSES
Stat 298 Special Problem
2 units of Stat 290 Statistical Consulting
15 units of Electives

The student will be considered candidate for graduation upon completion of all required and elective courses with a weighted average of “2.0” or better, and submission of successfully defended Special Problem.

For the Special Problem, the student should demonstrate capability of statistical analysis through the application of more recent statistical methods in solving real-life problems or the novel application of statistical methods in solving real-life problems.

• Course Titles
• Application Form
• Recommendation Form

Professional Master in Data Science (Analytics) Program

Data science involves the stages of data capture, architecture, warehousing, and analytics. This Professional Master in Data Science (Analytics) [PM DSA] program will focus on the analytics part of data science which benefits from the evolving framework of statistical science. The analytics skills to be developed among the data scientists will emerge from their knowledge of statistical inference, statistical machine learning, computational statistics, and various data mining algorithms.

The program is suited for professionals who have quantitative background and are hands-on with processing and/or analyzing data, or those who value the importance of empirical or evidenced-based decision making and see the potentials of using Statistics and/or analytics to achieve their goals. The program aims to equip professionals with a solid foundation in the theory and methods of statistical science and to be adept at statistical machine learning to solve real-world problems. Aside from the technical aptitude, students enrolled in the program are expected to have, at the end of the program, improved skills for research, presentation, communication, and decision-making.

ADMISSION REQUIREMENTS
Applicants should submit the following requirements to the Director of Graduate Studies, School of Statistics, UP Diliman:
1. Professional Masters in Data Science (Analytics) Application Form
2. Updated Curriculum Vitae
3. Transcript of Records
4. 3 Recommendation Letters from most recent employer and former college professors. At least
one letter must come from the employer and at least 1 from former college professor.
5. Birth Certificate on PSA/NSO security paper
6. If married, Marriage Certificate on PSA/NSO security paper
7. 3 copies of passport size photo
8. If applicant is a foreign student, please submit TOEFL/IELTS results valid for at most 2 years
upon submission of application.

Applicants to the program should have at least a bachelor’s degree in any discipline and have at least 1-year work experience in any of the following:
• Statistics: analytics, data science, risk management, market research
• Computing: engineering, mathematics, computer science, information technology, physics
• Business: marketing, sales, human resources, finance, management, accounting

The program will be offered in UP Professional Schools (BGC). The tuition fee for the program is Php4,500.00/unit.

Applicants will be required to take a validation examination in the areas of Calculus, Probability Theory, Inferential Statistics, and Programming Aptitude. Applicants who qualify in the validation examination will have a panel interview concerning their application. After the interview, applicants qualified for admission will be notified of their result before the start of the midyear term of the University of the Philippines.

Doctor of Philosophy in Statistics (PhD in Statistics) Program

The Doctor of Philosophy in Statistics is a graduate program which provides students with advanced background in statistics to enable them to participate in the development of statistical methods. Emphasis is placed on training in research. Seminar and reading courses are incorporated into the PhD program, besides lecture courses, in order to meet the individual requirements of the student's program of research.

ADMISSION REQUIREMENTS
Application for admissions must be filed with the Director of Graduate Studies at lest one month before the start of the registration period of the proposed term of entrance.

Applicants with a bachelor's or master's degree or equivalent degree or title from any recognized institution of higher learning and who satisfy the University rules on admission to a graduate program may be admitted to the Ph.D. program subject to the following conditions:

An applicant with a bachelor's or master's degree other than in statistics may be required to take additional mathematics and statistics courses before admission to the Ph.D. program.
Additional requirements shall be determined by the Graduate Committee of the School.
A student must obtain a grade of 2.0 or better in the qualifying examination based on the core courses of the MS(Statistics) program of the Center before being allowed to continue in the doctoral program.

GRADUATION REQUIREMENTS

Candidacy Exam
A student is qualified to take the candidacy examination based on the PhD core courses (Stat 301, Stat 302, Stat 303, Stat 311 and Stat 312), provided that his weighted average in these courses is 1.75 or better.
After passing the candidacy examination with a grade of 1.75 or better, a student is considered advanced to candidacy for the degree.
Failure at a second try shall bar the student permanently from the PhD program.

Dissertation
Submission of an approved dissertation successfully defended in an oral examination.

• Course Titles
• Application Form
• Recommendation Form