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M.S. in Data Analytics - Courses and Degree Requirements

Degree Requirements

The master’s program in Data Analytics requires 30 credits of coursework (ten classes), which will typically be completed in one to two years. Classes are offered in the evenings and during weekends. Please consult the M.S. in Data Analytics Admissions Information/Requirements page for more information about applying to the program.

Courses must be taken as follows:

  • Five (5) core courses
  • Four (4) electives (from one or more thematic clusters)
  • One (1) Capstone Project

Optional courses

  • Two master’s thesis courses – (optional – if taken, the courses replace the Capstone Project and one elective)
  • One (1) internship (optional – if taken, this replaces the Capstone Project)

Courses

Core Courses (Students will complete five (5) of the following seven (7) courses) - 15 credits total (3 credits each)

  1. CISC 5450 Mathematics for Data Analytics
  2. CISC 5500 Data Analytic Tools and Scripting
  3. CISC 5800 Machine Learning
  4. CISC 5835 Algorithms for Data Analytics
  5. CISC 5900 Information Fusion
  6. CISC 5950 Big Data Programming
  7. CISC 6930 Data Mining

Elective Courses (Four (4) courses from any one or more of the following eight (8) thematic clusters) - 12 credits total (3 credits each)

  1. Computer and Data Science
    1. CISC 5550 Cloud Computing
    2. CISC 5640 NoSQL Database Systems
    3. CISC 5700 Cognitive Computing
    4. CISC 6000 Deep Learning
    5. CISC 6200 Natural Language Processing (NLP)
    6. CISC 6325 Database Systems
    7. CISC 6525 Artificial Intelligence
    8. CISC 6735 Data Visualization
  2. Cybersecurity
    1. CISC 5009 Network Essentials
    2. CISC 5650 Cyber Security Essentials
    3. CISC 5750 Information Security and Ethics
    4. CISC 6640 Privacy and Security in Big Data
    5. CISC 6650 Forensic Computing
    6. CISC 6680 Intrusion Detection
  3. Bioinformatics and Health Informatics
    1. CISC 6500 Bioinformatics
    2. CISC 6550 Systems NeuroScience
    3. BISC 7502 Eukaryotic Molecular Biology
  4. Financial Informatics
    1. CISC 5352 Financial Programming and Applications
    2. CISC 6350 Advanced Computational Finance  
    3. ECON 6950 Financial Econometrics
    4. ECON 6910 Applied Economics
  5. Urban and City Informatics
    1. CISC 5738 ICT Systems for Smart Cities
    2. URST 6000 Issues in Urban Studies
    3. URST 6200 Urban Studies Research Skills
    4. BISC 7529 Principles of GIS
  6. Election and Government Informatics
    1. POGA 5100 American Political Behavior
    2. POGA 5130 Political Institutions and Processes
    3. POGA 5251 Political Survey Research
  7. Behavior Informatics
    1. PSYC 6850 Evaluation of Psychological and Social Programs
    2. PSYC 7804 Regression or PSYC 7816 Multivariate Analysis
    3. PSYC 7830 Structural Equation Modeling, PSYC 7850 Hierarchical Linear Models, or PSYC 7920 Item Response Theory
  8. Media Informatics
    1. PMMA 6103 Data Journalism and Interactive Graphics
    2. PMMA 6205 Online Analytics and Metrics

Capstone Project - 3 credits

  • CISC 6080 Capstone Project in Data Analytics 

Master’s Thesis - 6 credits total (optional - 3 credits each)

  1. CISC 6085 Master Thesis in Data Analytics I
  2. CISC 6086 Master Thesis in Data Analytics II

Internship - 3 credits

  • CISC 6081 Data Analytic Practicum
    Students interested in an internship with a business or organization related to Data Analytics can take this course. If taken it replaces the Capstone Project.