Data Mining Graduate Certificate
Applicants to the Graduate Certificate in Data Mining program are expected to have completed, or be in the process of completing, a second semester course in undergraduate or graduate statistics. Students may be admitted on condition that they complete these prerequisite courses with a grade of B or better.
Students must hold a bachelor’s degree from a regionally accredited institution of higher education. The undergraduate record must demonstrate clear evidence of ability to undertake and pursue studies successfully in a graduate field. A minimum undergraduate GPA of 3.00 on a 4.00 point scale (where A is 4.00), or its equivalent, and good standing (3.00GPA) in all post-baccalaureate course work is required. Conditional admission may be granted to a candidate with an undergraduate GPA as low as 2.40, only if the student receives no grades lower than a B in his/her first three core courses in the program. The following materials, in addition to those required by the School of Graduate Studies, are required:
• a formal application essay of 500–1000 words, focusing on academic and work history, reasons for pursuing the Graduate Certificate in Data Mining, and future professional aspirations. The essay will also be used to demonstrate a command of the English language;
• a note explaining how the candidate has fulfilled the one-semester statistics course requirement; and
• two letters of recommendation.
The deadline for submitting applications for the fall semester is May 1. The deadline for submitting applications for the spring semester admissions is November 1.
Applicants must submit a completed admissions application, the application fee, and official transcripts from each undergraduate and graduate institution to the Graduate Recruitment and Admissions Office.
Note: Only hard copy materials are acceptable for additional materials submitted. No attachments to e-mails or other electronically transmitted material will be considered in admissions decisions.
All additional materials (formal application essay, the prerequisites letter, and the two letters of recommendation) must be sent to:
Dr. Daniel T. Larose
Re: Graduate Certificate in Data Mining
Department of Mathematical Sciences
Marcus White 118
Central Connecticut State University
New Britain, CT, 06050
Course Requirements (18 credits):
Required Courses (12 credits)
STAT 521 Introduction to Data Mining 4
STAT 522 Data Mining Methods 4
STAT 523 Applied Data Mining 4
Elective Courses (6 credits) Choose two of:
STAT 520 Multivariate Analysis for Data Mining STAT 525 Web Mining
STAT 526 Data Mining for Genomics and Proteomics
STAT 527 Text Mining
STAT 529 Current Issues in Data Mining
Other graduate-level data mining or statistics course, with approval of program coordinator.
Contact: Larosed@ccsu.edu www.ccsu.edu/grad