Curriculum
This is an unofficial description for this program. For official information check the Academic Catalog.
Program Rationale:
The Master of Arts in Mathematics with Specialization in Statistics prepares students for a career or advanced study in statistics by understanding the discipline as a collection of inferential tools derived mathematically from models and/or assumptions.
Program Learning Outcomes:
Students in this program will be expected to:
- comprehend the theory behind methods of statistical inference;
- develop proficiency in the design and analysis of univariate, multivariate, stochastic, and categorical data;
- become familiar with regression, log linear, and time series models;
- understand and apply parametric and nonparametric procedures; and
- develop expertise in using the latest statistical analysis software.
Admission Requirements:
Applicants must hold a bachelor’s degree from a regionally accredited institution of higher education. Applicants must also have a minimum undergraduate GPA of 2.70 on a 4.00 point scale (where A is 4.00), or its equivalent, and good standing (3.00 GPA) in all post-baccalaureate coursework.
The Department of Mathematical Sciences may, at its discretion, admit an applicant with a GPA between 2.40 and 2.70 on an unconditional basis provided that the prospective student has both sufficient undergraduate course work and standardized test scores that meet any of the following standards:
• GRE (math subject area): 600 (45th percentile)
• GRE (general test quantitative reasoning): 720 (80th percentile)
• GMAT (quantitative): 50 (95th percentile)
The graduate application, application fee, and official transcripts are to be submitted to the Graduate Recruitment and Admissions Office. Official transcripts must be sent directly to the Graduate Recruitment and Admissions Office from each institution attended except Central Connecticut State University.
Contact: 860-832-2835
Course and Capstone Requirements
(Plans A, B and C are offered as options.)
The student and faculty advisor will work out an appropriate plan of study within the framework of the following requirements.
Requirements:
Statistics Core
Three courses chosen from
ACTL 565 Graduate Long Term Actuarial Models 4 Credits
ACTL 566 Graduate Short Term Actuarial Models 4 Credits
DATA 511 Introduction to Data Science 4 Credits
DATA 512 Predictive Analytics: Estimation and Clustering 4 Credits
DATA 513 Predictive Analytics: Classification 4 Credits
DATA 514 Multivariate Analytics 4 Credits
MATH 519 Principles of Real Analysis I 4 Credits
MATH 520 Principles of Real Analysis II 4 Credits
STAT 535 Graduate Loss and Frequency Distributions and Credibility Theory 3 Credits
Electives appropriate to the area of specialization (up to 9 credits): No more than nine credits in the program may be earned in 400-level courses.
Capstone:
Plan A:
Thesis (MATH 599) (3 credits) with 30 credits of coursework
Plan B:
Comprehensive Exam with 33 credits of coursework
Plan C:
Special Project in Mathematics (MATH 590) (3 credits) with 30 credits of coursework
Total Credit Hours: 33
Note: Once a graduate student has elected one of the three plans A, B or C, any change to one of the other plans must be made prior to the completion of 21 graduate credits and requires the approval of the student's advisor and the dean, School of Graduate Studies.