Analytics | Master of Engineering Management | NC State University
Analytics
Last Updated: 11/09/2023 and all information on this page is accurate and up-to-date
The Analytics Concentration strives to address the growing need for professionals, like you, skilled in big data and data analytics in industry, government and research organizations.
According to the World Economic Forum forecasts, data analysts will be in high demand in companies around the world. In the United States, the need for these professionals has grown sixfold, and data analysts will continue to be in demand over the next five years. The reason for all this is quite simple. The amount of data we create is growing year after year. This enormous amount of information needs to be managed and analyzed.
Through courses led by top faculty members at the Colleges of Engineering, Management and Sciences, you will cover topics in data mining, Python programming and operations analysis while focusing on the foundations of analytics from a technical engineering perspective.
A MEM with a concentration in Analytics prepares you to transform large data streams into understandable and actionable information to make decisions. The industries that require analytics professionals include healthcare, defense, smart manufacturing, supply chain and logistics, finance, security, marketing, athletics and human resources.
- Unless the Director of the DGCP grants you an exception, you must choose courses as outlined in the table below.
- Of the 12 hours, three (3) hours may be at the 400 level with prior approval from the DGCP, per the Graduate Student Handbook (Section 3.13).
- The other nine (9) hours will be at the 500 level or above.
- You must take one course per semester to remain in good standing. For your grades to count toward the certificate, they must be a B- or higher. Also, a GPA of 3.00 is required to earn the certificate.
- The Graduate Student Handbook lists all additional requirements (Section 3.13).
- Because of its specificity and high demand, premium tuition is charged on this certificate. If you are currently pursuing other degrees and/or certificates, you will not be admitted to this certificate program until you complete those other programs. Once you are enrolled in this certificate, credit hours will be subject to the MEM tuition premium until the certificate is received.
- If you are in an existing degree program without a tuition premium, you may not add a second program with a tuition premium concurrent with the existing degree. If you are in a degree program with a tuition premium, you may not add a second program that has a different tuition premium (including no premium).
- Premium tuition is charged based on your program of study, not the individual courses you take. This policy is outside the department’s control. For instance, you, the MEM student, pay the MEM premium even if in a given semester where you take one, two or three courses outside the MEM curriculum. Similarly, once you are admitted to the Engineering Management Foundations Graduate Certificate Program and the certificate is added to your program of study, you will be charged the premium.
Curriculum
| CONCENTRATION: Analytics | Credits |
|---|---|
| CORE Subtotal | 15 |
| Take four courses: | |
| EM 589 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 offered online only.
3 Open to non-majors.
The Master of Engineering Management with an analytics concentration helps you gain knowledge and skills to:
- Use tools and methods for data mining, data visualization, and big data processing to produce reports for analysis and decision-making
- Develop data-driven projects
- Understand and explain the results of data analysis to decision-makers
- Improve systems and processes with data analytics
- Design and build large databases
- Apply methods like statistics, optimization and machine learning to solve complicated problems
This degree program prepares you for a complete list of tasks, including:
- Collecting, storing, processing and analyzing data
- Reporting detailed statistics and patterns
- Drawing conclusions and insights
- Making actionable recommendations
- Designing and managing data analytics projects