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

Degree requirements

The master program in data analysis requires 30 credits of course work (ten classes), which are usually completed in one to two years. Classes are offered in the evening and on weekends. Please consult M.S. Further information on the application of the program.

Courses must be taken as follows:

  • Five (5) Core Courses
  • four (4) elections (from one or more thematic clusters)
  • one (1) Capstone project

  • Two Master Discors Courses - (Optional - When It is taken, the courses replace the CAPSTONE project and a pocket)
  • a (1) internship (optional - when it is taken, this replaces the Capstone project)

Courses

Core courses (students will complete five (5) of the following seven (7) courses) - 15 credits sum (3 credits each)

  1. CISC 5450 Mathematics for Data Analysis
  2. cisc 5500 data analytical tools and scripting
  3. CISC 5800 Machine Learn
  4. CISC 5835 Algorithms for Data Analyzes
  5. CISC 5900 Information Fusion
  6. CISC 5950 Big Data Programming
  7. CISC 6930 Data Mining

Election Courses (four (4) courses from one or more of the following eight (8) thematic clusters) - 12 credits Overall (each 3 credits)

  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 large 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. BIS 7502 Eukaryotic Molecular Biology
  4. Financial Computer Science
    1. CISC 5352 Financial Programming and Applications
    2. CISC 6350 Advanced Computational Finance
    3. ECON 6950 Financial Econometrics
    4. econ 6910 applied economy
  5. urban and city informatics
    1. CISC 5738 ICT systems for intelligent cities
    2. Urst 6000 problems in urban studies
    3. Urst 6200 Urban Studies Research Skills
    4. BIS 7529 Principles of GIS
  6. election and government information
    1. Poga 5100 American political behavior
    2. Poga 5130 Political institutions and processes
    3. poga 5251 political survey research
  7. behavioral information
    1. psyc 6850 Assessment 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 Answer 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 analysis

Master thesis - 6 credits sum (optional - 3 credits)

  1. CISC 6085 Master thesis in data analysis I
  2. CISC 6086 Master's thesis in data analysis II

Internship - 3 credits

  • Cisc 6081 Data Analytic Practicum
    Students who are interested in an internship with a company or organization with data analysis can take this course. If it has taken, it replaces the Capstone project.

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