Masters of Science in Applied Statistics (MSAS)

The Applied Statistics Master’s Science offers a professional science master's (PSM) degree track with an internship project at an employer, or a thesis-based academic master’s (MS) option. The program welcomes students seeking expertise in statistics for specialized careers in finance, business, social sciences, environmental sciences, public policy, or health. The main goal of the program is to prepare master’s degree graduates with an interdisciplinary science and statistical knowledge along with research and essential other skills needed for careers in both private and public sector. Applications from the underrepresented minorities and women in the field of Statistics are encouraged.

Candidates for the Applied Statistics MS degree must complete 30 credits of mathematics and statistics course work, along with a 6-credit internship or thesis. They have to pass a written comprehensive examination covering the required courses and one course selected from the listed electives.

Candidates in the PSM track must earn 35 credits to graduate; 31 credits of course work and a 4-credit internship, including with the capstone seminar. Of the 31 credits, 21 credits are statistics/mathematics courses, and 10 credits are “Plus” courses in, for example, business, policy, public administration, communications, or project management. Both tracks of the MSAS provide students with a strong foundation in STEM disciplines, with research experiences. PSM track provides an internship experience as well.

ADMISSION REQUIREMENTS AND INSTRUCTIONS
Applicants seeking admission to the program leading to the Master of Science or Professional Science Master’s degree in Applied Statistics must meet the following requirements:

• Hold a Bachelors degree in Mathematical or Social Sciences from an accredited institution of higher education in US or an equivalent degree from a university in another country. All applicants considered for admission must have completed the following courses or their equivalent: 1. Calculus I and II; 2. Linear Algebra; 3. Course in a Computer Science is recommended
• Have a minimum GPA of 3.0 or higher
• Submit college transcripts
• Submit application form and 500 words essay describing their interest in our program
• Submit the current GRE scores
• Submit two letters of recommendation from their school advisors/employers

The ‘on-line’ application and the downloadable, fillable .pdf file can be found on the graduate programs web site at http://www.udc.edu/admission/grad_students.htm. For information on fees and tuition costs please consult UDC’s website at www.udc.edu, where you also can find answers about the "resident" status. Financial aid information is available at the Financial Aid Office, Bldg. 39, Room 101, 202.274.5060. Graduate Assistantship awards are available upon an application process. For more information on how to apply for a Graduate Assistantship, please contact us.

A SUPERIOR EDUCATION WITH A GLOBAL FOCUS. Located in Northwest DC, UDC is the only public institution of higher education in the nation’s capital. As an urban land-grant university system, UDC pursues a broad mission in education, research, and community service. The selective Flagship—with its five colleges: College of Arts and Sciences, College of Agriculture, Urban Sustainability and Environmental Science, School of Business and Public Administration, School of Engineering and Applied Sciences, and the David A. Clarke School of Law—offers baccalaureate, graduate, and professional degrees. The open-admission Community College of the District of Columbia provides associates degrees and workforce-development programs. The University serves the 21st-century academic needs of the people of the District of Columbia and nation, building on a 159-year record of providing quality, affordable, and accessible higher education.

Contacts

Valbona Bejleri, PhD
Program director, Master’s of Science in Applied Statistics
EMAIL: vbejleri@udc.edu, TEL: 202.274.5771

Vernise Steadman, PhD
Chairperson, Department of Mathematics
EMAIL:vsteadman@udc.edu

April Massey, PhD
Associate Dean, College of Arts and Sciences
EMAIL: amassey@udc.edu

Beverly Hartline, PhD
Associate Provost for Research and Dean of Graduate Studies
EMAIL: graduate-dean@udc.edu

Curriculum

PSM Track

I. Statistics/probability courses (required 21 credits)

Required Courses

• Probability Theory (3 credits)
• Mathematical Statistics I (3 credits)
• Mathematical Statistics II (3 credits)
• Data Analysis with SAS (Statistical Software, SAS) (3 credits)
• Statistical Modeling (3 credits)
  Elective Courses (Two courses from the following)
• Regression Analysis and Analysis of Variance (3 credits)
• Research Methods, Statistics and Data Mining (3 credits)
• Survey of Probability and Statistics (3 credits)
• Exploratory Data Analysis & Non Parametric Statistical Methods (3 credits)
• Time Series Analysis (3 credits)
• Contingency Table Analysis (3 credits)
• Other science/mathematics electives, subject to approval

II. “Plus” Courses (required 10 credits)

• Public communication for STEM professionals (3 credits)
• Ethics, responsible conduct of research and professional responsibility (1 credit)
• The Systems Approach and Project Management (3 credits)
• Management Theory and Practice (3 credits)

III. Internship (3 credits)

IV. Capstone Seminar (1 credit)

MS Track

Required Courses

• Probability Theory (3 credits)
• Mathematical Statistics I (3 credits)
• Mathematical Statistics II (3 credits)
  Regression Analysis and Analysis of Variance (3 credits)
• Data Analysis with SAS (Statistical Software, SAS) (3 credits)
• The Design of Experiments, Survey and Sampling Theory (3 credits)
• Exploratory Data Analysis and Non Parametric Statistical Methods (3 credits)

Elective Courses (Two courses from the following)

• Regression Analysis and Analysis of Variance (3 credits)
• Research Methods, Statistics and Data Mining (3 credits)
• Survey of Probability and Statistics (3 credits)
• Time Series Analysis (3 credits)
• Contingency Table Analysis (3 credits)
• Statistical Modeling (3 credits)
• Seminar on Statistical Consulting and Research (3 credits)
• Topics in Statistics (3 credits)
  Biostatistics
  Multivariate Analysis or
  Related Topics
• Complete an approved internship together with a related Project; or
• Write and defend an expository thesis under the direction of a Permanent member of the Department of Mathematics