Through the 30-credit online MPS in Data Analytics — Business Analytics option curriculum, you can learn to explore and analyze large data sets to support data-driven business decisions through the complete spectrum of analytics activities: descriptive (what happened), diagnostic (why it happened), predictive (what will happen), and prescriptive (what should happen).
You will take 9 credits in the program's core courses, 9 credits specific to the business analytics option, and 9 credits of electives 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 – Business Analytics Option
| Title | Abbreviation | Description | Credits |
|---|---|---|---|
| Foundations of Predictive Analytics | I E 575 | Survey course on the key topics in predictive analytics. 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 SC 521 or approval of instructor or department |
3 credits |
| Applied Statistics | STAT 500 | Descriptive statistics, hypothesis testing, power, estimation, confidence intervals, regression, one- and two-way ANOVA, Chi-square tests, diagnostics. Prerequisite: one undergraduate course in statistics |
3 credits |
| Title | Abbreviation | Description | Credits |
|---|---|---|---|
| Business Strategies for Data Analytics | BAN 530 | Data analytics problem-solving strategies applied to a real-world business context. | 3 credits |
| Marketing Analytics | BAN 540 | Systematic and analytical approaches to marketing decision making within modern day enterprises. | 3 credits |
| Prescriptive Analytics for Business | BAN 550 | Development of methods for prescriptive analytics with a focus on business supply side decisions and risk mitigation. Prerequisite: BAN 540 |
3 credits |
* Because key concepts build from one course to the next, please plan to start with BAN 530, follow with 540, and finish with 550.
| 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 |
| 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 in Engineering | SYSEN 536 | Analysis of engineering decisions under uncertainty; problem identification, formulation, judgment, resolution; mitigation, risk analysis, quantification and management. | 3 credits |
| Title | Abbreviation | Description | Credits |
|---|---|---|---|
| Implementing Analytics for Business | BAN 888 |
Sets business analytics in real-world context. Explores project life cycle from business problem-framing to model lifecycle management. |
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.