The University of Jordan

What you'll study

This programme builds a conventional chemical engineering curriculum around a focused suite of artificial intelligence and data-driven subjects. Across the programme you will study core chemical engineering topics such as material and energy balances, fluid mechanics, heat and mass transfer, chemical reaction engineering, process design and process control. These are integrated with AI and computational modules including programming for engineers, statistics and data analysis, machine learning, neural networks, optimisation algorithms, process modelling and simulation, digital twins and sensor analytics.

• Year-by-year structure: Foundational mathematics, physics and chemistry in early years; core chemical engineering courses and laboratory practice in middle years; advanced AI-driven process modules, elective specialisms and an industrial training or internship period in later years.
• Laboratory and practical work: Practical laboratory sessions for unit operations and reaction engineering, computer labs for coding and data projects, process simulation exercises using industry-standard tools, and integration of hardware-in-the-loop or sensor data where available.
• Project and graduation work: A substantial final-year project that typically combines a chemical engineering problem with AI techniques (for example predictive maintenance, process optimisation, fault detection, or digital twin development).
• Electives and interdisciplinary options: Electives allow you to focus on areas such as process systems engineering, environmental engineering, renewable energy, advanced control systems, or deeper machine learning specialisms.

Entry requirements

Applicants are normally expected to hold a recognised secondary school certificate in the scientific stream (for example the Jordanian Tawjihi science certificate) or an equivalent international qualification with strong grades in mathematics, chemistry and physics. International applicants with A-levels, IB, SAT or equivalent should demonstrate proficiency in relevant science and mathematics subjects. Some prior experience or demonstrable interest in programming or computing is advantageous.

Non-native English speakers will be required to demonstrate proficiency in English through the university's accepted tests or qualifications. Final admission decisions take into account academic records, the competitiveness of the applicant pool and any faculty-specific assessments.

Career prospects

Graduates combine chemical engineering competence with data science and AI skills, making them attractive to employers modernising industrial operations. Typical career paths include:

• Process engineer roles in petrochemical, chemical, pharmaceutical and food industries where AI is applied to optimisation and process control
• Data scientist or machine learning engineer positions focused on sensor analytics, predictive maintenance and process monitoring
• Automation and control engineering roles implementing advanced control strategies and digital twin solutions
• Consultancy and technical advisory roles supporting digital transformation in manufacturing and energy sectors
• Environmental and process safety engineering applying AI for emissions monitoring and compliance
• Further study options including MSc or PhD programmes in chemical engineering, process systems engineering, artificial intelligence or related research areas

Why study at The University of Jordan

The University of Jordan is the country's oldest and largest public university with a well-established Faculty of Engineering that provides strong foundational teaching and laboratory resources. The programme benefits from multidisciplinary collaboration between chemical engineering and computer science staff, access to practical laboratories and computing facilities, and links with local and regional industry for internships and project work.

Students gain a balance of theoretical knowledge and hands-on experience relevant to modern industrial challenges, and the degree is designed to equip graduates to contribute to digitalisation initiatives across process, energy and manufacturing sectors in Jordan and the region.