Program: Interdisciplinary Studies - Medical Informatics Concentration, MS - University of Pittsburgh

Requirements for the Master’s Degree

Overlapping with ISP requirements of the Dietrich School of Arts and Sciences (A&S). Students should speak with their advisors to make sure they complete both sets of requirements.

Students pursuing the Master of Science degree in ISP must complete a minimum of 24 credits including:

(a) First year students are encouraged, but not required, to take the following:

ISSP 2020 - TOPICS IN INTELLIGENT SYSTEMS (fall)
ISSP 2030 - ADVANCED TOPICS IN INTELLGENT SYSTEMS (spring)
INFSCI 3005 - INTRODUCTION TO THE DOCTORAL PROGRAM

(b) The required courses:

ISSP 2160 - FOUNDTNS OF ARTIFICIAL INTELLGNC or

Two courses from the following:

ISSP 2170 - MACHINE LEARNING or
CS 2750 - MACHINE LEARNING
ISSP 2230 - INTRO NATURAL LANGUAGE PROCSSNG or
CS 2731 - INTRO NATURAL LANGUAGE PROCSSNG

(c) A theory course from both A and B

A

BIOST 2041 - INTRODUCTION TO STATISTICAL METHODS
BIOST 2042 - INTRODUCTION TO STATISTICAL METHODS 2
STAT 2131 - APPLIED STATISTICAL METHODS 1
STAT 2132 - APPLIED STATISTICAL METHODS 2

B

CS 2110 - THEORY OF COMPUTATION
CS 2150 - DESIGN & ANALYSIS OF ALGORITHMS

(d) Four advanced courses numbered 2000 or higher

(must be approved by advisor)

(e) GPA of 3.0 or better

(f) MS-Level Project

Approved by the faculty after an oral prospectus presentation, involving significant research, design, or development work and a written report.

Concentration Requirements

http://www.isp.pitt.edu/about/degrees

The curriculum assumes that a student already has training in a health care field. If this is not so the faculty will select a set of courses that teaches the student basic medical knowledge, and the student may take these courses as electives.