Data Mining 

Graduate Certificate in Data Mining (18 credits)


Required Courses (12 Credits)

  • Stat 521 Introduction to Data Mining (4 credits)
  • Stat 522 Data Mining Methods and Models (4 credits)
  • Stat 523 Applied Data Mining (4 credits)

Elective Courses (6 Credits)

Choose two of:
  • Stat 525 Web Mining
  • Stat 526 Data Mining for Genomics and Proteomics
  • Stat 527 Text Mining
  • Stat 529 Current Issues in Data Mining
  • Some other graduate-level data mining or statistics course, with approval of program coordinator.

Accredited by the State of Connecticut Board of Regents for Higher Education.

Important: Please click here and read this document for important information before applying.


Current Students

All students who have been admitted (not conditionally admitted) to the Graduate Certificate in Data Mining should download the Planned Program of Study for the Graduate Certificate 2011, complete as much of it as you can, and email it to Dr. Bilisoly at

Students who have been conditionally admitted, and have completed their conditions, should notify Dr. Bilisoly at, so that you may be fully and officially admitted.


All data mining majors are classified for business purposes as part-time students, with a premium rate.

Program Prerequisites

Applicants to the Graduate Certificate program 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.

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 in a graduate field successfully. A minimum undergraduate GPA of 3.00 on a 4.00 point scale (where A is 4.0), or its equivalent, and good standing (3.0 GPA) in all post-baccalaureate course work is required. Conditional admission may be granted to candidates with undergraduate GPAs as low as 2.4, conditioned on the students getting no grades lower than a B in their first three core courses in the program.

The following materials are required, in addition to the materials required by the School of Graduate Studies. (1) A formal application essay of 500 - 1000 words that focuses on (a) academic and work history, (b) reasons for pursuing the Graduate Certificate in Data Mining, and (c) future professional aspirations. The essay will also be used to demonstrate a command of the English language. (2) A detailed, itemized letter explaining whether and how the candidate has fulfilled the program prerequisites that 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. In their letter, candidates are asked to show which courses on which transcripts are being used to fulfill each of these prerequisites. If a candidate has not had courses that would fulfill certain program prerequisites, the candidate should so indicate. The candidate is reminded that conditional admission may be granted for students needing to complete any or all of the program prerequisites. (3) Two letters of recommendation.

The application and all transcripts should be sent to the Graduate Admissions Office. The other materials, including the formal application essay, the prerequisites letter, and the two letters of recommendation, should be sent to:

Dr. Roger Bilisoly
Re: Graduate Certificate in Data Mining Admissions Materials
Department of Mathematical Sciences
Central Connecticut State University
New Britain, CT, 06050

Note that only hard copy materials are acceptable. No attachments to emails or other electronically transmitted material will be considered in admissions decisions.

Can I start out with the Certificate program, and then transfer those courses to the Master of Science program?

Yes. However, the student will need to apply for the MS program separately.