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Discover Data Science for Chemical and Materials Engineering at NJIT
Data is transforming how engineers design processes, improve materials and solve complex problems. In addition, we witness the emergence of artificial intelligence (AI) tools in all aspects of engineering. NJIT’s Graduate Certificate in Data Science for Chemical and Materials Engineers is designed specifically for chemical and materials engineers who want to apply advanced analytics to real-world challenges.
This program focuses on applied data science and data analytics within engineering environments, helping you turn raw data into actionable insights. You will explore how tools like data visualization, predictive modeling, statistical analysis and applied machine learning can improve performance, reduce costs and drive innovation.
Built for working professionals, this flexible program allows you to gain in-demand skills in engineering data modeling and industrial data analysis without pausing your career. If you're ready to take the next step, apply today.
Why Choose NJIT for Your Graduate Certificate in Data Science for Chemical and Materials Engineers
NJIT is a nationally recognized polytechnic university with a strong reputation in engineering, computing and applied research. Our graduate certificates are tailored to the needs of engineers working in chemical and materials industries.
- Fully Online and Flexible – Learn on your schedule while continuing to work
- Engineering-Focused Curriculum – Designed for real-world applied data science in technical environments
- Expert Faculty – Learn from instructors experienced in data analytics and visualization, computational modeling and machine learning
- Hands-On Learning – Apply advanced analytics and engineering informatics to real datasets
- Career-Focused Skills – Prepare for roles that require data driven decision making in engineering fields
- Stackable Credential – Ideal for professionals seeking specialized knowledge or preparing for graduate study; credits may support future graduate study.
This data science certificate helps you bridge the gap between engineering expertise and data-driven innovation.
Program Overview
This online certificate provides a focused, graduate-level foundation in data science concepts applied to chemical and materials engineering. The curriculum combines theory and application, helping you build skills that can be used immediately in your work.
You will study topics such as data analytics, applied data science and engineering data modeling, while learning how to analyze and visualize large datasets. The program also introduces AI tools for computational modeling and machine learning, allowing you to understand patterns and predict outcomes.
You will also explore how predictive modeling supports decision-making across production, quality and research environments.
- Total credits: 12
- Average completion time: 12 Months
- Format: 100% online - Asynchronous
- Core Curriculum
- How to Apply
- Financial aid options*
*Tuition reimbursement may be available through your employer
Who Should Apply?
This program is designed for chemical and materials engineers and other technical professionals who want to expand their skills in data analytics and modern data tools.
Ideal candidates include:
- Chemical and Materials engineers seeking expertise in applied data science
- Engineers working with experimental or production data
- Process engineers focused on improving efficiency through data driven decision making
- STEM professionals interested in engineering informatics and analytics
- Recent graduates looking to enter data-focused engineering roles
A background in engineering, chemistry, materials science or a related technical field is recommended.
What You’ll Learn
Graduates of NJIT’s Certificate in Data Science for Chemical and Materials Engineers will develop practical, in-demand skills that apply directly to engineering environments.
You will learn to:
- Apply data analytics techniques to solve engineering problems
- Use applied data science methods to interpret complex datasets
- Build models using predictive modeling and machine learning
- Perform engineering data modeling for process and system analysis
- Use computational modeling tools to simulate real-world systems
- Implement applied machine learning techniques for forecasting and classification
- Leverage advanced analytics for better outcomes in engineering workflows
- Apply engineering informatics to manage and interpret large datasets
- Visualize and interpret complex datasets
These skills support stronger, more efficient engineering solutions through data driven decision making.
Career Outcomes
Completing this certificate prepares you for roles that combine engineering expertise with advanced data skills. As industries adopt digital tools and automation, professionals who understand both engineering systems and data analytics are in high demand.
Career opportunities include:
- Process Optimization Engineer – Use applied data science to increase efficiency and reduce waste
- Materials Data Scientist – Apply predictive modeling to understand material behavior
- Manufacturing Data Analyst – Conduct industrial data analysis to improve production systems
- Engineering Systems Analyst – Use computational modeling and analytics to evaluate system performance
- Quality and Performance Analyst – Apply advanced analytics to monitor and improve outputs
Professionals in these roles use data driven decision making to improve processes, reduce costs and drive innovation across industries.
Admissions Requirements
The Online Graduate Certificate in Data Science for Chemical and Materials Engineers accepts students for the Fall and Spring semesters. For helpful links on the application process, refer to:
Why Data Science Matters for Chemical and Materials Engineers Today
Engineering is becoming increasingly data-driven. As such, professionals must be able to analyze large datasets and apply insights in real time.
The rise of applied data science and data analytics is changing how engineers approach challenges. AI techniques like predictive modeling and applied machine learning are now essential tools for improving performance and innovation.
At the same time, industries are investing in engineering informatics and digital transformation. This creates new opportunities for engineers who can combine technical knowledge with strong data skills.
Earning an NJIT Online Certificate in Data Science for Chemical and Materials Engineers positions you to lead in this environment. You will be prepared to use advanced analytics and support smarter, more efficient engineering systems. Request information to get started.
Frequently Asked Questions
Is this program fully online?
Yes. All courses are delivered online for maximum flexibility.
Can I complete the certificate while working full time?
Yes. The program is designed for working professionals.
Do I need prior experience in data science?
No. A technical background is helpful, but foundational concepts in data analytics are introduced throughout the program.
Are the courses taught by NJIT faculty?
Yes. Courses are taught by experienced NJIT faculty with expertise in data science as applied to chemical and materials engineering.
Get Started
Next Steps
- Apply Now – Begin your application today
- Request More Information – Connect with an admissions advisor
- Explore Tuition Support – See if you qualify for tuition reimbursement or financial aid
