Degree Requirements
Students pursuing the Master of Science degree in ISP must adhere to the SCI requirements for graduation and complete a minimum of 30 credits as outlined below, as well as an MS Project. Students must also earn a grade of B- or better in each of the courses in the appropriate ISP curriculum (the general track or the Biomedical Informatics track) and maintain a QPA of at least 3.0.
General Track Curriculum
First-year students are encouraged but not required to take:
- ISSP 2020 - TOPICS IN INTELLIGENT SYSTEMS
- INFSCI 3005 - INTRODUCTION TO THE DOCTORAL PROGRAM
- ISSP 2030 - ADVANCED TOPICS IN INTELLGENT SYSTEMS
Core
AND choose two of the following:
- INFSCI 2595 - MACHINE LEARNING
- ISSP 2230 / CS 2731 - INTRODUCTION TO NATURAL LANGUAGE PROCESSING
- ISSP 2180 / CS 2770 - COMPUTER VISION
- ISSP 2130 / INFSCI 2140 - INFORMATION STORAGE AND RETRIEVAL
- INFSCI 2160 - DATA MINING
Theory
Applied or mathematical statistics. Choose one of the following:
- BIOST 2041 - INTRODUCTION TO STATISTICAL METHODS 1
- BIOST 2042 - INTRODUCTION TO STATISTICAL METHODS 2
- BIOINF 2118 - STATISTICAL FOUNDATIONS OF BIOMEDICAL INFORMATICS
- STAT 2131 - APPLIED STATISTICAL METHODS 1
- STAT 2132 - APPLIED STATISTICAL METHODS 2
Theory of computation, algorithms. Choose one of the following:
- CS 1511 - INTRODUCTION TO THEORY OF COMPUTATION
- CS 2110 - THEORY OF COMPUTATION
- CS 2150 - DESIGN & ANALYSIS OF ALGORITHMS
- INFSCI 2591 - ALGORITHM DESIGN
One additional course required. Any of the theory courses listed above are acceptable.
Advanced courses
Four ISSP advanced lecture courses, numbered 2000 or higher and approved by the academic advisor.
Biomedical Informatics Track (ISP/MI)
This assumes that a student already has training in a health care field. If this is not so, then the faculty will select a set of courses that teach the student basic medical knowledge, and the student may take these courses as electives.
First-year students are encouraged but not required to take:
- ISSP 2020 - TOPICS IN INTELLIGENT SYSTEMS
- INFSCI 3005 - INTRODUCTION TO THE DOCTORAL PROGRAM
- ISSP 2030 - ADVANCED TOPICS IN INTELLGENT SYSTEMS
Core
- ISSP 2083 / BIOINF 2032 - BIOMEDICAL INFORMATICS JOURNAL CLUB
- ISSP 2016 / BIOINF 2070 - FOUNDATIONS OF BIOMEDICAL INFORMATICS 1
- ISSP 2160 / CS 2710 - FOUNDATIONS OF ARTIFICIAL INTELLIGENCE
Then choose one of the following:
- ISSP 2170 / CS 2750 - MACHINE LEARNING
- ISSP 2230 / CS 2731 - INTRODUCTION TO NATURAL LANGUAGE PROCESSING
- ISSP 2180 / CS 2770 - COMPUTER VISION
AND choose one of the following:
- CS 1510 - ALGORITHM DESIGN
- CS 2150 - DESIGN & ANALYSIS OF ALGORITHMS
- CS 3150 - ADV TOPICS DESGN & ANALYS ALGORTHM
AND choose one of the following:
- BIOST 2041 - INTRODUCTION TO STATISTICAL METHODS 1
- BIOST 2042 - INTRODUCTION TO STATISTICAL METHODS 2
- BIOINF 2118 - STATISTICAL FOUNDATIONS OF BIOMEDICAL INFORMATICS
- STAT 2131 - APPLIED STATISTICAL METHODS 1
- STAT 2132 - APPLIED STATISTICAL METHODS 2
AND choose two of the following:
- ISSP 2070 / BIOINF 2101 - PROBABILISTIC METHODS
- ISSP 2017 / BIOINF 2071 - FOUNDATIONS OF BIOMEDICAL INFORMATICS 2
- ISSP 2240 / INFSCI 2130 - DECISION ANALYSIS AND DECISION SUPPORT SYSTEMS
- BIOINF 2121 - HUMAN-COMPUTER INTERACTION AND EVALUATION METHODS
- BIOINF 2117 - APPLIED MEDICAL INFORMATICS
- BIOINF 2016 - FOUNDATIONS OF TRANSLATIONAL INFORMATICS
- BIOINF 2124 - PRINCIPLES OF GLOBAL HEALTH INFORMATICS
Three (3) Graduate level (2000 or higher, three (3) credits) ISSP lecture courses that have been approved by your advisor as being relevant to your studies in the ISP.
For more degree requirement details, visit the Intelligent Systems, MS course catalog.