Analytics | Master of Engineering Management | NC State University
Analytics
Last Updated: 05/22/2024 | All information is accurate and still up-to-date
The Analytics Concentration addresses the growing need for professionals like you, skilled in big data and data analytics. This demand exists in industry, government, and research organizations.
The World Economic Forum forecasts that data analysts will be in high demand globally. In the United States, the need for these professionals has grown sixfold. Over the next five years, data analysts like you will continue to be in high demand. This increase in demand is simple to understand. The amount of data we create grows every year and needs to be managed and analyzed.
Courses are led by top faculty in the Colleges of Engineering, Management, and Sciences. You will study data mining, Python programming, and operations analysis. These courses focus on the technical foundations of analytics.
A MEM with a concentration in Analytics prepares you to turn large data streams into actionable information. This helps you make important decisions. Industries needing analytics professionals like you include healthcare, defense, smart manufacturing, supply chain, logistics, and finance. Additionally, you are needed in security, marketing, athletics, and human resources.
Curriculum
| CONCENTRATION: Analytics | Credits |
|---|---|
| CORE Subtotal | 15 |
| Take four courses: | |
| EM/ISE 538 Practical Machine Learning for Engineering Analytics | 3 |
| ISE 519 Database Applications in ISE | 3 |
| ISE 535 Python Programming for Industrial & Systems Engineers 1 | 3 |
| ISE 537 Data Science for Industrial and Systems Engineering | 3 |
| MBA 544 Operations Analysis 1 3 | 3 |
| MBA 545 Decision Making under Uncertainty 1 3 | 3 |
| OR/CE 537 Computer Methods and Applications | 3 |
| ST 555 Statistical Programming I 1 3 | 3 |
| ST 558 Data Science for Statisticians 2 | |
| ST 562 Data Mining with SAS Enterprise Miner 3 | 3 |
| ST 563 Introduction to Statistical Learning 2 | |
| DSC prefix courses, 400-level or higher | 3 |
| Take one course: | |
| EM 675 Engineering Management Masters Project (or substitute practicum with approval) | 3 |
| ISE 677 Industrial Engineering Projects (or substitute practicum with approval) | 3 |
| MBA 559 Business Analytics Practicum (or substitute practicum with approval) | 3 |
1 Course taught both on-campus and online.
2 Course is offered online only.
3 Open to non-majors.
Analytics Knowledge and Skills Gained
The Master of Engineering Management with an analytics concentration helps you gain essential knowledge and skills.
- First, you learn tools and methods for data mining, data visualization and big data processing. These skills help you produce reports for analysis and decision-making.
- Next, you develop data-driven projects. You understand and explain the results of data analysis to decision-makers.
- Additionally, you improve systems and processes using data analytics. You design and build large databases.
- Furthermore, you apply methods like statistics, optimization, and machine learning to solve complicated problems.
This degree program prepares you for various tasks, including:
- Collecting, storing, processing and analyzing data
- Report detailed statistics and patterns
- Draw conclusions and insights and make actionable recommendations
- Design and manage data analytics projects