The curriculum of the 30-credit online MPS in Data Analytics can help you learn to design, deploy, and manage the technology infrastructure and data analytical processes of predictive analytics, including data aggregation, cleaning, storage, and retrieval.

You will take 9 credits in the program's core courses, 9 credits of prescribed courses offered to help you design and maintain data analytics systems and tools, and 9 credits of electives chosen in consultation with your program adviser. You will then complete your studies with the 3-credit culminating capstone experience.

Course List - Master of Professional Studies in Data Analytics 

Core Curriculum (9 credits)
Title Abbreviation Description Credits
Foundations of Predictive Analytics I E 575 Survey course on the key topics in predictive analytics.

Prerequisite: I E 323, STAT 500 or equivalent
3 credits
Data Mining SWENG 545

Practical benefits of data mining will be presented; data warehousing, data cubes, and underlying algorithms used by data mining software.

Prerequisite: IN SC521 or approval of instructor or department

3 credits
Applied Statistics STAT 500 Descriptive statistics, hypothesis testing, power, estimation, confidence intervals, regression, one- and 2-way ANOVA, Chi-square tests, diagnostics.

Prerequisite: one undergraduate course in statistics
3 credits
Prescribed Courses (9 credits)
Title Abbreviation Description Credits
Large-Scale Database and Warehouse DAAN 825 Examination of large-scale data storage technologies including NoSQL database systems for loosely-structured data, and warehouses for dimensional data.

Prerequisite: INSC 521
3 credits
Data-Driven Decision Making DAAN 881 Application and interpretation of analytics for real-life decision making.

Prerequisite: STAT 500
3 credits
Database Design Concepts IN SC 521 The requirements capture, design, and development of relational database applications; analysis of business requirements and development of appropriate database systems. 3 credits
Electives (Choose 9 credits)
Title Abbreviation Description Credits
Principles of Demography APDEM 801 This course examines fundamental concepts and ideas in demography, and U.S. and world population trends associated with these concepts. 3 credits
Data, GIS, and Applied Demography APDEM 802 This course provides an overview of key demographic data sets, and promotes familiarity with, and appropriate use of, these data. 3 credits
Applications in Applied Demography APDEM 803 This course provides an overview of applications in applied demography in business, government and public policy, health, and non-profit organizations. 3 credits
Data Collection and Cleaning DAAN 822 Tools and techniques required for data collection and computational procedures to automatically or semi-automatically identify and eliminate errors in large datasets.

Prerequisite: STAT 500 and IN SC 521
3 credits
Large-Scale Databases for Real-Time Analytics  DAAN 826

This course provides an exploration of current and emerging big data solutions for handling large quantities of data in real-time. In particular, this course investigates methods to design, develop, and implement several systems used for real-time data analysis and storage such as document databases, column-based databases, queueing systems, and real-time processing systems.

Prerequisite – DAAN 825

3 credits
Analytics Programming in Python  DAAN 862 This course will explore the development of analytics systems and the application of best practices and established software design principles using the Python programming language and its several toolkits.  3 credits
Data Visualization DAAN 871 This course provides a foundation in the principles, concepts, techniques, and tools for visualizing large data sets. 3 credits
Enterprise Analytics Strategies DAAN 897 The course examines business intelligence in the era of big data. Emphasis is on the successful implementation of big data in large and small corporations that deliver extraordinary results.   3 credits
Network and Predictive Analytics for Socio-Technical Systems IN SC 846

This course will study the inter-relatedness of cyber-social and cyber-technical aspects of an organization or society as a whole.

3 credits
Demographic Techniques              SOC 573                Models and measures of vital processes (fertility, mortality, migration) and their effects on growth and age structure of human populations.  3 credits
Statistical Analysis System Programming STAT 483 Introduction, intermediate, and advanced topics in SAS.

Prerequisite: 3 credits in statistics  
3 credits
Regression Methods STAT 501 Analysis of research data through simple and multiple regression and correlation; polynomial models; indicator variables; step-wise, piece-wise, and logistic regression.

Prerequisite: STAT 500 or equivalent; matrix algebra
3 credits
Applied Time Series Analysis  STAT 510

Identification of models for empirical data collected over time. Use of models in forecasting.

Prerequisite – STAT 462 or STAT 501 or STAT 511

3 credits
Technical Project Management SYSEN 505 Analysis and construction of project plans for the development of complex engineering products taken from a variety of problem domains. 3 credits
Decision and Risk Analysis Engineering SYSEN 536 Analysis of engineering decisions under uncertainty; problem identification, formulation, judgment, resolution; mitigation, risk analysis, quantification and management. 3 credits
Capstone Experience (3 credits)
Title Abbreviation Description Credits
Design and Implementation of Analytics Systems DAAN 888 Design and implement data science and analytics systems using contemporary tools and techniques. Choice of project topic mutually determined by student and instructor. Students must complete all core and required courses before enrolling.

Prerequisite: IN SC 521, DAAN 825 and DAAN 881
3 credits

 

3 credits

 

Course Availability

If you're ready to see when your courses will be offered, visit our public LionPATH course search (opens in new window) to start planning ahead.