Bachelor of Science in Artificial Intelligence
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Duration
Credits
Approach
Who Should Apply?
The program is designed for motivated students with a strong interest in technology and innovation. Eligible applicants include:
- Holders of a Bachelor’s or Engineering degree in Computer Science, Information Systems, Software Engineering, Networking & Telecommunications, or related fields
- Candidates with strong English proficiency, as the program is delivered entirely in English
- Motivated professionals with analytical thinking, problem-solving ability, and readiness for intensive applied learning
Who Should Apply?
The program is designed for motivated students with a strong interest in technology and innovation.
Eligible applicants include:
- Holders of a Baccalauréat (Math, Sciences, Technique, Informatique) or international equivalent
- Students passionate about computing, AI, and emerging technologies
- Applicants with English proficiency (program delivered fully in English)
- Candidates with strong analytical skills and readiness for intensive, project-based learning
Applicants from related disciplines may be admitted following an entrance assessment or completion of bridging modules.
Simple 4-Step Admission Process
- Online application submission
- Academic evaluation
- Interview and/or admission test (if required)
- Enrollment and orientation
Graduates of MUST’s Bachelor in AI will be able to:
- Design, train, evaluate, and deploy AI and Machine Learning models
- Develop intelligent applications using modern programming tools and cloud platforms
- Manage the complete AI lifecycle, from data preparation to production deployment
- Implement MLOps practices to ensure scalable and secure AI systems
- Assess the technical, economic, and societal impact of AI solutions
- Collaborate effectively in multidisciplinary and international teams
- Pursue lifelong learning and professional certifications
Artificial Intelligence and data-driven roles are among the fastest-growing professions globally. According to the Organization for Economic Co-operation and Development (OECD) and the World Economic Forum (WEF), AI-related jobs are projected to grow by over 30% by 2030, driven by rapid adoption of intelligent technologies.
Employers increasingly seek professionals who combine software engineering, machine learning, and cloud deployment expertise.
Career Paths Include:
- AI / Machine Learning Developer
- AI Application Developer
- MLOps / AI Deployment Specialist
- Junior Data Scientist
- Intelligent Systems Engineer
- Data & AI Analyst
- Digital Transformation & AI Consultant
Graduates are prepared for careers in banking, healthcare, manufacturing, public administration, consulting firms, multinational corporations, and tech startups — or for advanced graduate studies in AI and data science.
| Course Code | Course Title | UE | ||
| MATH 111 | Math 1 | UEF 110 | ||
| CS 121 | Introduction to programming | UEF 120 | ||
| CS 161 | Introduction to computer systems | UEF 130 | ||
| CS 123 | Discrete Mathematics for computer science | UEF 140 | ||
| ISS 166 | Student integration seminar | UET 111 | ||
| FR 100 | French 1 | UET 112 | ||
| CS 191 | Sustainability and Social Responsibility in IT Systems | UET 113 |
| Course Code | Course Title | UE | ||
| MATH 112 | Math II | UEF 210 | ||
| CS 141 | Data structures & algorithms | UEF 220 | ||
| CS 203 | Introduction to operating systems | UEF 230 | ||
| CS 231 | Introduction to databases | UEF 240 | ||
| ENG 101 | Academic English | UET 210 | ||
| FR 101 | Academic French (French 2) | UET 210 |
| Course Code | Course Title | UE | ||
| MATH 270 | Probability & statistics | UEF 310 | ||
| CS 342 | Algorithms & Complexity | UEF 320 | ||
| CS 328 | OO Software design & construction | UEF 330 | ||
| CS 411 | Computer Networks | UEF 340 | ||
| CS 321 | Principles of software engineering | UEO 310 | ||
| FR 121 | French Composition (French 3) | UET 310 | ||
| ENG 121 | English Composition | UET 310 |
| Course Code | Course Title | UE | ||
| CS 481 | Artificial Intelligence | UEF 410 | ||
| CS 455 | Cloud Computing | UEF 420 | ||
| CS 427 | Service-oriented architecture & web services | UEO 410 | ||
| CS 492 | Data Governance, Law, & AI Ethics | UEO 420 | ||
| CS 488 | Neural Networks | UEO 430 | ||
| COM 225 | Technical Communications | UET 410 | ||
| ISS 185 | Entrepreneurship Workshop | UET 420 |
| Course Code | Course Title | UE | ||
| CS 335 | Scalable Big Data processing | UEF 510 | ||
| CS 412 | Computer & Cloud Security | UEF 520 | ||
| CS 489 | AI application development and MLOps | UEF 530 | ||
| CS 581 | Generative AI | UEF 540 | ||
| CSE 461 | Introduction to Robotics | UEO 510 | ||
| MGMT 322 | Project management | UET 510 | ||
| UET 512 | Leading Digital Transformation & Change | UET 510 |
| Course Code | Course Title | UE | ||
| ISS 521 | Capstone Project & Defense | UEF 610 |
At MUST University, earning your Bachelor in Artificial Intelligence is only the beginning. Throughout their academic journey, students are actively encouraged and supported to obtain internationally recognized professional certifications that strengthen their technical expertise and global employability.
Each student is paired with a dedicated academic advisor and professional mentor who provides personalized guidance in:
- Selecting the most relevant certifications aligned with career goals
- Planning preparation timelines alongside academic coursework
- Tracking progress and building a competitive professional portfolio
Students also benefit from complimentary access to leading online learning platforms, enabling them to complete advanced courses, hands-on labs, and industry-aligned projects. This ensures they graduate not only with a degree, but with validated, market-ready skills recognized worldwide.
Recommended Certification Pathways
- Amazon Web Services (AWS) AI & Machine Learning Certifications
Cloud-based AI deployment, model scalability, and production environments - Microsoft Azure AI Engineer Associate
Design and implementation of enterprise-grade AI solutions - Google TensorFlow Developer Certificate
Deep learning model development, optimization, and deployment - Google Cloud AI Certifications
Data pipelines, MLOps practices, and AI model deployment - NVIDIA Deep Learning Institute Certifications
GPU computing, accelerated AI, and advanced deep learning techniques
Graduates of the Bachelor in Artificial Intelligence benefit from extensive academic mobility and international progression pathways.
Advanced Studies at MUST University
- Master’s in Data Science & Artificial Intelligence (with optional dual international diploma – 1+1 pathway)
- Master’s in Management & Innovation (dual diploma option)
- Master’s in Cybersecurity
Global Mobility & International Pathways
- Participation in Erasmus+ mobility programs across Europe
- Student exchange programs with leading European institutions, including:
- EPITA (France)
- EFREI (France)
- Steinbeis University (Germany)
- Double-degree pathways with Steinbeis University (Germany)
- 3+1 transfer programs with partner universities in the United States (Lawrence Tech, Michigan, University of Central Missouri, Oakland University)
- American Semester Abroad Program (ASAP) at Oakland University (Michigan, USA)
- Direct progression opportunities to Master’s programs in the United Kingdom, including:
- Birmingham Newman University
- Heriot-Watt University
- University of Salford
- Merit-based scholarship opportunities for high-achieving students at partner institutions
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