Official Certificate Program in Data Mining
Program Prerequisites:
Applicants to the Graduate Certificate in Data Mining program are expected to have completed two semester of applied statistics (such as STAT 104/STAT 453, STAT 200/STAT 201, or STAT 215/STAT 216 with a grade of B or better, or two semesters of statistics approved by advisor with grades of B or better, or permission of the Data Mining Program Director. The second semester course may be taken concurrently with STAT 521 Intro to Data Mining.
Admission Criteria:
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 (3.00 GPA) 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.
In addition to the materials required by the School of Graduate Studies, the following are required by the program:
- a formal application essay of 500-1000 words, focusing on (a) academic and work history, (b) reasons for pursuing the Graduate Certificate in Data Mining, (c) future professional aspirations, and (d) where and how the applicant has completed the program prerequisites. The essay will also be used to demonstrate a command of the English language; and
- two letters of recommendation, one each from academia and work environment or two from academia if the candidate has not been employed
The application to the data Mining program is filled out online. All transcripts should be sent to the Graduate Admissions Office. The formal application essay, the prerequisite letter, and the two letters of recommendation can be emailed to the Director of the Data Mining Program or physically mailed to:
Director of the Data Mining Program
Re: Graduate Certificate in Data Mining Admissions Materials
Department of Mathematical Sciences
Marcus White 128
Central Connecticut State University
New Britain, CT, 06050
Course Requirements
Required Courses
| STAT 521 | Introduction to Data Mining | 4 |
| STAT 522 | Clustering and Affinity Analysis | 4 |
| STAT 523 | Predictive Analytics | 4 |
| Total Credit Hours: | 12 |
Choose two electives from:
Other graduate-level data mining or statistics course(s) may be selected, with approval of program coordinator.
Total Credit Hours: 18-20
More information can be found at: http://web.ccsu.edu/datamining/