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Bachelor’s Degree in Computer Science With Specializations in AI & ML

Transform your future with our comprehensive 3-year Bachelor’s Degree in Computer Science with specializations in AI & ML, accredited by Woolf, Malta. This innovative undergraduate program combines solid computer science foundations with cutting-edge artificial intelligence and machine learning expertise through 180 ECTS credits of structured learning across three progressive tiers.

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  • Duration

3 Years

  • Modules

29 Modules

  • Assignments

Multiple Assessments

  • Format

Online Learning

  • Projects

Project based learning

  • Level

Bachelors Degree

Globally Recognized & Accredited:

15000

Students Trained Globally

25

Industry-Aligned Programs

70

Countries with Active Alumni

87

Career Transition Success

  • Comprehensive AI & Computer Science Curriculum

Academic Focus Areas That Power Success

Master the complete artificial intelligence and computer science ecosystem with comprehensive knowledge across multiple cutting-edge disciplines. Our Bachelor’s in Computer Science with AI & ML specializations equips you with expertise in programming, machine learning, data science, and advanced AI technologies – preparing you for innovative technology careers and leadership roles in the digital transformation era.
  • Industry-Ready Skills
  • Interdisciplinary Knowledge
  • Hands-On Learning

Fundamentals Of AI And ML

Data Structures And Algorithms

Python For Machine Learning

Data Analysis And Visualization

Natural Language Processing

Computer
Vision

Join Airtics Education
  • Comprehensive AI & Computer Science Curriculum

Academic Focus Areas That Power Success

Master the complete artificial intelligence and computer science ecosystem with comprehensive knowledge across multiple cutting-edge disciplines. Our Bachelor’s in Computer Science with AI & ML specializations equips you with expertise in programming, machine learning, data science, and advanced AI technologies – preparing you for innovative technology careers and leadership roles in the digital transformation era.

  • Industry-Ready Skills
  • Interdisciplinary Knowledge
  • Hands-On Learning

Fundamentals Of AI And ML

Data Structures And Algorithms

Python For Machine Learning

Data Analysis And Visualization

Natural Language Processing

Computer
Vision

Join Airtics Education

Woolf University Malta Partnership

Woolf, Malta represents a revolutionary approach to higher education as the world’s first global collegiate institution. Through our strategic partnership with Airtics Education, this Bachelor’s Degree program delivers internationally recognized qualifications with ECTS credits that are globally transferable. The comprehensive curriculum combines rigorous academic standards with practical industry applications, taught by expert faculty and supported by Woolf’s innovative Accreditation Management System for quality assurance.

Eligibility

Eligibility

This Bachelor’s degree program welcomes students from diverse educational backgrounds who meet our foundational requirements. Candidates must have successfully completed their Class 12 higher secondary education from a recognized educational board with a minimum score of 50-60%. Additionally, proficiency in English language is essential as all coursework, lectures, and assessments are conducted in English to ensure effective learning outcomes.

Prerequisites

While no prior programming experience is required, familiarity with basic mathematical concepts including algebra and statistics will be advantageous. Students should possess fundamental computer literacy skills and access to reliable internet connectivity for online learning activities. A genuine interest in technology, problem-solving mindset, and commitment to self-directed learning will enhance your success in this program.

Course Modules

Tier 1
Foundational & Industry Experience - 60 ECTS
Tier 2
Technical and Professional Foundation - 60 ECTS
Tier 3
Advanced & Applied Project - 60 ECTS
Module 1: Foundational & Industry Experience – 60 ECTS

This foundational module equips students with the essential academic, technical, and professional skills required for a successful career in Computer Science with a focus on AI and ML. It begins by building critical thinking, research, and communication abilities through academic writing, verbal and non-verbal communication, and structured argumentation. Students gain mathematical proficiency through linear algebra and calculus, foundational for future courses in algorithms and machine learning. Technical competencies are developed through an in-depth study of operating systems, computer architecture, databases, programming in Python, and web application development using HTML, CSS, and JavaScript. Additionally, students are introduced to the principles and applications of AI and ML, including algorithm selection, model evaluation, and hands-on case studies. Emerging technologies and ethical implications are explored, alongside an industry experience module that contextualizes AI in various sectors such as healthcare, finance, and manufacturing, ensuring students are prepared for both academic advancement and professional roles.

Learning Outcomes

By completing this, you will:

  • Develop critical thinking, communication, and academic writing skills for effective research and presentation.
  • Build a solid foundation in mathematical reasoning, programming, operating systems, and database management.
  • Design and implement functional web applications and software systems using core computing principles.
  • Understand the fundamentals and emerging trends in Artificial Intelligence and Machine Learning.
  • Apply AI concepts in real-world industry scenarios and explain technical ideas to non-technical stakeholders.
Module 2: Technical and Professional Foundation - 60 ECTS

Module 2 builds a strong technical and professional foundation by integrating core theoretical concepts with practical, real-world applications across computer science and engineering disciplines. The course begins with Discrete Math, emphasizing logic, graph theory, probability, and number theory, while connecting each area to modern applications such as cryptography and algorithm analysis. Engineering for Development and Challenge Studio 1 introduce students to global development issues through the lens of the UN Sustainable Development Goals, where they collaboratively create impactful tech solutions. The module also includes Data Structures and Algorithms, Computer Networks, and Cybersecurity, providing a comprehensive understanding of computational efficiency, secure communication, and data protection. Explorative Data Analysis and Python for Machine Learning offer hands-on exposure to essential tools and libraries for data visualization and predictive modeling. Finally, Industry Experience 2 ensures students apply classroom knowledge in real business contexts, bridging the academic-industry gap and enhancing their readiness for AI/ML careers.

Learning Outcomes

By completing this, you will:

  • Apply core principles of discrete mathematics, data structures, algorithms, and network systems to solve computational problems efficiently and securely.

  • Use Python and visualization tools to preprocess, analyze, and interpret real-world data for machine learning applications.

  • Collaborate in teams to design and develop user-centered, sustainable technology solutions addressing real-world development challenges.
  • Evaluate cybersecurity threats and implement appropriate defense mechanisms in modern computing environments.
  • Translate academic knowledge into practical skills through direct industry engagement, problem-solving, and stakeholder communication.
Module 3: Advanced & Applied Project - 60 Ects

The Advanced & Applied Project is a comprehensive 60 ECTS module that enables students to apply their technical, analytical, and project management skills in real-world scenarios. It integrates diverse courses such as Ethics and Social Implications of AI, Digital Marketing and Analytics, Natural Language Processing (NLP), Computer Vision, Interaction Design, Backend Development, Applied AI & ML Project Management, Capstone Research Methods, and Applied Computer Science. Students will explore ethical dimensions of AI, digital marketing strategies using tools like Google Analytics, foundational techniques in NLP and computer vision, and advanced human-computer interaction principles. Through backend development and DevOps practices, they will design scalable and secure web services. The project management component enhances their ability to lead AI/ML projects with effective planning, scheduling, and risk analysis. Finally, students conduct capstone research and implement an end-to-end software project, culminating in a symposium presentation, preparing them for industry roles or further academic pursuits.

Learning Outcomes

By completing this, you will:

  • Analyze and address ethical, legal, and social implications of AI technologies in real-world contexts.
  • Design, prototype, and implement advanced digital systems using NLP, computer vision, and backend development tools.

  • Apply digital marketing strategies and analytics tools to optimize brand presence and user engagement.

  • Lead AI and ML-based projects by managing resources, risks, timelines, and stakeholder expectations.
  • Conceptualize and execute a capstone project from research planning to implementation and presentation.

Your Success Story Starts Here

Every image here tells a story of transformation, dedication, and success. Be the next to wear the cap and gown. Enroll today, and let your journey begin.

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What Our Students Say

Every student has a story—of ambition, of challenge, of growth. In their own words, they share how Airtics became a turning point in their learning journey and helped them move closer to their goals.

Pemsith Ravi

Thanks to the support of this prestigious institution – airtics. I was able to earn a master’s degree in data science. I had a fantastic educational experience there, and they possess a highly competent and knowledgeable lecturing panel. Anyone looking to make it major in the data science field should enrol in their course.
  • Verified Review

Zeeshan Ali

Airtics offers a truly transformative learning experience. The course content is up-to-date, the mentors are incredibly supportive, and the flexibility of the online platform made it easy to balance with my work. Highly recommended for anyone looking to upskill!

  • Verified Review

Aalaa Shbair

The experience at Airtics College has been tremendous for me. It has illuminated my path and opened the way for me to become a developer of solutions in my workplace. I cherish every moment of this online learning experience and the supportive community of instructors and peers.

  • Verified Review

Muhammad Fatouh

Airtics offered a great platform that allowed me to take a meaningful step forward in data science while balancing my demanding job as a telecom engineer. If you have a busy schedule and struggle with work-life balance, I encourage you to find a flexible platform like Airtics to pursue your goals.

  • Verified Review

Al Tayyab Bakhsh

Coming from a non-technical background in marketing, switching to data science was challenging. The faculty at Airtics was incredibly helpful, especially my mentor Miss Piyali, who guided me with patience every step of the way. Their mentorship gave me the confidence to succeed.

  • Verified Review

Dilnawaz Qureshi

Airtics provides an impressive curriculum for Python Full Stack development that is both well-structured and up-to-date. This comprehensive approach ensures we acquire a thorough understanding of the field and are well-prepared for real-world challenges.

  • Verified Review

Charuhaas Shenoy

Airtics offers a truly transformative learning experience. The course content is up-to-date, the mentors are incredibly supportive, and the flexibility of the online platform made it easy to balance with my work. Highly recommended for anyone looking to upskill!
  • Verified Review

Madonna Ghanem

The resources provided by Airtics for AI and ML students are top-notch. The institute has a well-equipped virtual lab with the latest software, allowing us to experiment with complex algorithms. The online library offers a wide range of reference materials and research papers.

  • Verified Review

Dhruv Narse

Airtics provides a conducive learning environment for data analytics students. They have experienced faculty, and provide access to the latest software and tools used in the industry. This ensures that we are well-prepared for our future careers in the field.

  • Verified Review

What Our Students Say

Every student has a story—of ambition, of challenge, of growth. In their own words, they share how Airtics became a turning point in their learning journey and helped them move closer to their goals.

Pemsith Ravi

Thanks to the support of this prestigious institution – airtics. I was able to earn a master’s degree in data science. I had a fantastic educational experience there, and they possess a highly competent and knowledgeable lecturing panel. Anyone looking to make it major in the data science field should enrol in their course.
  • Verified Review

Zeeshan Ali

Airtics offers a truly transformative learning experience. The course content is up-to-date, the mentors are incredibly supportive, and the flexibility of the online platform made it easy to balance with my work. Highly recommended for anyone looking to upskill!

  • Verified Review

Aalaa Shbair

The experience at Airtics College has been tremendous for me. It has illuminated my path and opened the way for me to become a developer of solutions in my workplace. I cherish every moment of this online learning experience and the supportive community of instructors and peers.

  • Verified Review

Muhammad Fatouh

Airtics offered a great platform that allowed me to take a meaningful step forward in data science while balancing my demanding job as a telecom engineer. If you have a busy schedule and struggle with work-life balance, I encourage you to find a flexible platform like Airtics to pursue your goals.

  • Verified Review

Al Tayyab Bakhsh

Coming from a non-technical background in marketing, switching to data science was challenging. The faculty at Airtics was incredibly helpful, especially my mentor Miss Piyali, who guided me with patience every step of the way. Their mentorship gave me the confidence to succeed.

  • Verified Review

Dilnawaz Qureshi

Airtics provides an impressive curriculum for Python Full Stack development that is both well-structured and up-to-date. This comprehensive approach ensures we acquire a thorough understanding of the field and are well-prepared for real-world challenges.

  • Verified Review

Charuhaas Shenoy

Airtics offers a truly transformative learning experience. The course content is up-to-date, the mentors are incredibly supportive, and the flexibility of the online platform made it easy to balance with my work. Highly recommended for anyone looking to upskill!
  • Verified Review

Madonna Ghanem

The resources provided by Airtics for AI and ML students are top-notch. The institute has a well-equipped virtual lab with the latest software, allowing us to experiment with complex algorithms. The online library offers a wide range of reference materials and research papers.
  • Verified Review

Dhruv Narse

Airtics provides a conducive learning environment for data analytics students. They have experienced faculty, and provide access to the latest software and tools used in the industry. This ensures that we are well-prepared for our future careers in the field.

  • Verified Review

Learn from Industry Leaders & Experts

Learn from the best in the field. Our faculty combines academic brilliance with industry expertise, featuring PhD holders, senior data scientists, and AI researchers from top organizations.

Ms. PIYALI MONDAL - B&W
Ms. Piyali Mondal Head of Department
Ms. Priti Mondal - B&W
Ms. Priti Mondal Associate Faculty
Dr. Abdullah El Nokiti - B&W
Dr. Abdullah El-Nokiti Professor
Dr. Meraj Inamdar - B&W
Dr. Mohd Merajuddin Inamdar Professor
Dr. Madhavi Vaidya - B&W
Dr. Madhavi Vaidya Professor
Dr. Poonam Chaudhari - B&W
Dr. Poonam Chaudhari Professor
Dr. Anup Maurya - B&W
Dr. Anup Kumar Maurya Professor
Dr. Milan Joshi - B&W
Dr. Milan Amrutkumar Joshi Industry Expert
Dr. Mohamed Elhaw - B&W
Dr. Mohamed Elhaw Industry Expert
Dr. Pradeep Tiwari - B&W
Dr. Pradeep Tiwari Industry Expert
Global Student Community

Students from 60+ Countries Worldwide

Frequently Asked Questions

Find answers to common questions about our Bachelor’s Degree in Computer Science With Specializations in AI & ML. Learn about program details, requirements, and what to expect from this 3 Year Bachelors Degree Program.

What is the duration of this Bachelor's program?

The Bachelor’s Degree in Computer Science with AI & ML specializations is a 3-year program consisting of 180 ECTS credits, structured across three progressive tiers.

Is this degree internationally recognized?
Yes, this degree is accredited by Woolf, Malta, and features ECTS credits that are globally recognized and transferable, making it valuable for international career opportunities and further studies.
What are the eligibility requirements?

Students must have completed Class 12 higher secondary education from a recognized board with 50-60% marks and demonstrate proficiency in English language.

Do I need prior programming experience?
No prior programming experience is required. The program starts with foundational courses and progressively builds your technical skills in computer science and AI/ML.
What career opportunities are available after graduation?
Graduates can pursue careers as AI engineers, machine learning specialists, data scientists, software developers, computer vision engineers, and backend developers across various industries.
How is the program structured?

The program consists of 29 modules across three tiers: Tier 1 (Foundational & Industry Experience – 60 ECTS), Tier 2 (Advanced Topics – 60 ECTS), and Tier 3 (Applied Project – 60 ECTS).

Are there practical projects included?
Yes, the program emphasizes project-based learning with hands-on projects, capstone research, and real-world applications throughout the curriculum.
How does this program differ from other computer science degrees?
This program uniquely combines comprehensive computer science fundamentals with specialized AI & ML focus, delivered through international university partnership with globally transferable
Is financial assistance available?

Airtics offers flexible payment options and EMI facilities to make quality education accessible to deserving students.

Still have questions?

If you have any other questions or need further information about our Bachelor’s Degree in Computer Science with AI & ML specializations, don’t hesitate to contact us. Our admissions team is here to help you take the next step in your technology career.

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