Stellenbosch University

Overview

The Chemical Engineering – Data Analytics program at Stellenbosch University equips students with the skills to integrate data science, modeling, and machine learning into chemical and process engineering. Through hands-on analytical training, you will learn to utilize tools such as Python to convert industrial data into informed decisions.

What You'll Study

The program focuses on core engineering principles while emphasizing data analytics relevant to chemical engineering. Key areas of study include:

• Principles and Processes of Chemical Engineering
• Mass and Energy Balances
• Fluid Mechanics for Chemical Engineers
• Reaction Engineering
• Supplementary Studies

Learning is structured to provide a solid technical foundation, enabling you to interpret process data effectively. The curriculum supports the application of modeling and data-driven techniques to chemical and process systems, with assessments typically comprising assignments, tests, and project work.

Entry Requirements

Admission to the program is determined by your previous academic qualifications and the assessment of your suitability by the relevant faculty. General eligibility criteria for the Master of Engineering (MEng) program include:

• A Bachelor of Engineering (BEng), Bachelor of Science Honours (BScHons), or another relevant four-year degree
• Other recognized academic qualifications and relevant experience, subject to departmental recommendations

There are no specific GRE or GMAT requirements for admission.

Career Prospects

Graduates of the Chemical Engineering – Data Analytics program are well-prepared for diverse career opportunities in industries that rely on advanced data analysis and engineering principles. Potential career paths include roles in process engineering, data analytics, and research and development within chemical and manufacturing sectors.