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Master of Applied Statistics Program approved with first students in Fall 2016!

We are excited to announce that our Master of Applied Statistics program has received final approval from the UC President and becomes the newest program offered by the department.

The Master of Applied Statistics (MAS) program was created in response to the increasingly high demand from students seeking a terminal master’s degree in data science and quantitative analytics.

The MAS program will prepare students for work in industry through an emphasis on methods and theory commonly used in applications. The MAS will cater primarily to part-time students. Courses for the new program will be offered in the evening, so that professionals can continue working while completing their degrees. The degree will require a thesis project that will involve working closely with an industry partner and a faculty member to solve a real scientific or business problem. This will
often be in the field where the student is working, thus deepening their understanding of it. The Department has various business, industry and government partners to provide internships, thesis topics, support for their employees, and job prospects for graduating students.

Applications will be accepted starting in the late Fall of 2015 for students wishing to begin the program in the Fall of 2016.

We welcome companies or agencies that are interested in working with the MAS Program.

For full details please visit the new MAS website.

UCLA Department of Statistics Presents

UCLA Department of Statistics Seminar Series

Tue, 12/1/2015, 2:00 PM—3:00 PM
3656 Geology Bldg.

Ksenija Draskovic

Head Data Scientist
Verizon Wireless

IT Data Science Implementation Read Out

Verizon is the largest 4G LTE voice and data services in the US, and is taking innovative approaches to analyzing traditional and emerging data sets, impacting all areas of thVerizon is the largest 4G LTE voice and data services in the US, and is taking innovative approaches to analyzing traditional and emerging data sets, impacting all areas of the business. This presentation is outlining the architecture of big production Data Science environment and how the results and insights are consumed and integrated within departments across the Enterprise providing unmatched business results.

BIO: Ksenija Draskovic is Associate Fellow and Head Data Scientist at Verizon Wireless. She has over 20 years experience in using multichannel data sources to understand customer behavior providing key findings and actionable insights to business stakeholders, embedding those insights into business processes and deploying predictive analytics throughout the organization. She and her team covers variety of analytics for Marketing, Finance, Real Estate department, including predictive modeling, Big Data integration and unstructured data analytics. Ksenija is a regular speaker at Predictive and Big Data Analytics conferences in US and Internationally.

UCLA Statistics/Mathematics Faculty Search

Open-ranked faculty position (tenure-track Assistant Professor or tenured Associate/Full Professor) split in the Department of Statistics (50%) and Department of Mathematics (50%) at the University of California, Los Angeles. We seek outstanding applicants contributing to the cutting edge development of machine learning, big data or data science. We welcome applicants whose experience in research, teaching and service has prepared them to contribute to UCLA’s commitment to excellence and diversity. Ph.D. in Mathematics, Statistics, or a related field is required by date of anticipated appointment of July 1, 2016. Salary will be commensurate with education and experience. Please refer to Tracking Job #JPF01740 on all correspondence.

Reviews for the position will commence on Nov 15, 2015 and will continue until a successful candidate is identified. Interested applicants should apply at UCLA Academic Recruit at:

The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy see: UC Nondiscrimination & Affirmative Action Policy at:

Applicants should submit:

1) CV
2) Cover letter describing how their qualifications and interests would fit with the position description
3) Two representative publications (or preprints)
4) Statement of research
5) Statement of teaching
6) Three letters of recommendation

All inquiries may be sent to Chie Ryu at