Data Analytics (M.S.)

The master’s program in Data Analytics requires 30 credits of coursework (10 classes), which will typically be completed in 1-2 years. Students may select to complete a thesis through two courses instead of a capstone project and fifth elective. Classes will be offered in the evenings and during the weekends.

Prerequisites

An undergraduate degree in a field emphasizing quantitative skills is expected, such as a degree in computer science, information science, engineering, math, physical science, health science, business, social science or city and urban planning. Professional knowledge or experience equivalent to the following three courses is required.

  1. Computer Programming with basic algorithms (in C, C++, Java, R or Python) (e.g., CISC 5300 C++ Programming or CISC 5380 Programming with Python)
  2. Applied Statistics and Probability ( e.g., CISC 5420: Applied Statistics and Probability)
  3. Discrete Mathematics including basic combinatorics and graph theory (e.g., CISC 5400 Discrete Structures)

Bridging courses are available for students who are missing one or more of the aforementioned prerequisites. With the permission of the Program Director, these courses can be taken concurrently with the Data Analytics courses. If you are required to take these courses, it will be stated in your admissions letter and the courses must be taken during the first semester.

Requirements

Course Title Credits
Five Core Courses from the following:15
DATA ANALYTICS TOOLS&SCRIPTING 1
COMPUTER ALGORITHMS
DATA MINING 2
BIG DATA PROGRAMMING
MACHINE LEARNING
INFORMATION FUSION
Three elective courses, selected from any mix of options within the thematic clusters:9
Internship
DATA ANALYTIC PRACTICUM
Big Data and Cloud Computing
CLOUD COMPUTING
WIRELESS NETWORKS
COGNITIVE COMPUTING
NETWORK ESSENTIALS
ARTIFICIAL INTELLIGENCE
Cybersecurity
CYBER SECURITY ESSENTIALS
PRIVACY AND SECURITY IN BIG DATA
INTRUSION DETECTION AND NETWORK FORENSICS
INFORMATION SECURITY AND ETHIC
Bioinformatics and Health Informatics
BIOINFORMATICS
MEDICAL INFORMATICS
BIOSTATISTICS
MOLECULAR BIOLOGY
SEMINAR IN GENETICS
Financial Informatics
FINANCIAL PROGRAMMING
COMPUTATIONAL FINANCE
ADVANCED FINANCIAL PROGRAMMING
FINANCIAL ECONOMETRICS
APPLIED ECONOMETRICS
Urban and City Informatics
ISSUES IN URBAN STUDIES
RESEARCH SKILLS URBAN STUDIES
Principles of Geographical Information Science
Election and Government Informatics
AMERICAN POLITICAL BEHAVIOR
POLITICAL INSTITUTIONS AND PROCESSES
POLITICAL SURVEY RESEARCH
Behavior Informatics
EVALUATION OF PSYCHOLOGICAL & SOCIAL PROGRAMS
REGRESSION WITH LAB
INTRODUCTION TO MULTIVARIATE ANALYSIS
STRUCTURAL EQUATION MODELING
HIERARCHICAL LINEAR MODELS
ITEM RESPONSE THEORY
Media Informatics
DATA JOURNALISM AND INTERACTIVE GRAPHICS
ONLINE ANALYTICS AND METRICS
One selection from the following:6
Master Thesis 3
MASTER THESIS IN DATA ANALYTICS I
MASTER THESIS IN DATA ANALYTICS II
Capstone and Elective 3
CAPSTONE PROJECT IN DATA ANALYTICS
One additional elective from the selection above
Total Credits30