Graduate Certificate in Data Mining (18 Credits)|
Required Courses (12
521 Introduction to Data Mining (4 credits)
522 Data Mining Methods and Models (4 credits)
523 Applied Data Mining (4 credits)
Courses (6 Credits)
Choose two of:
Stat 525 Web Mining
526 Data Mining for Genomics and Proteomics
527 Text Mining
529 Current Issues in Data Mining
other graduate-level data mining or statistics course, with
approval of program coordinator.
All students who have been admitted
(not conditionally admitted) to the Graduate Certificate in Data
Mining should download the 2007
Program of Study, complete as much of it as you can, and
email to Dr. Larose at firstname.lastname@example.org.
Students who have been conditionally admitted, and have
completed their conditions, should notify Dr. Larose at email@example.com,
so that you may be fully and officially admitted.
Important: Please click here and read this document for
important information before applying.
All data mining majors are
classified for business purposes as part-time students, with a
premium rate, see
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.
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.
admission may be granted to candidates with undergraduate
GPA’s as low as 2.4, conditioned on the students getting no
grades lower than a B in their first three core courses in 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:
Daniel T. Larose
Re: Graduate Certificate in Data Mining Admissions Materials
Department of Mathematical Sciences
Marcus White 118
Central Connecticut State University
New Britain, CT, 06050
that only hard copy materials are acceptable. No
attachments to emails or other electronically transmitted
material will be considered in admissions decisions.
I start out with the Certificate program, and then transfer
those courses to the Master of Science program?
However, the student will need to apply for the MS program
separately. The mathematical and statistical requirements
for the MS program are more stringent than for the Certificate