Computing and AI
The MBA specialisation in Computing and AI is designed to equip professionals with cutting-edge knowledge and advanced skills in leveraging computational technologies and artificial intelligence technology to drive innovation, optimise processes, and lead digital transformation. This MBA in AI program focuses on the practical applications of AI and computing frameworks to solve complex business challenges, enhance decision-making, and deliver sustainable value in a technology-driven world. Through the two core modules—Ethical AI and Responsible Computing and Machine Learning and Deep Learning Applications—students gain a comprehensive understanding of the principles, strategies, and ethical considerations in applying AI and computing technologies.
Together, these modules provide an in-depth education for MBA students aspiring to lead in the fields of AI, machine learning, and advanced computing. Graduates will be prepared to implement AI technology solutions, design scalable machine learning models, and navigate the ethical and regulatory landscapes of these rapidly evolving technologies. This masters in ai specialization empowers professionals to innovate, lead cross-functional teams, and foster a competitive edge in the global business environment.
If you’re considering an AI masters degree, this programme provides a strong foundation for leadership in digital innovation.
Dual Accreditation
Key Highlights
Start Date: Jan/ Apr/ Jul/ Oct
Campus: 100% Online
Credits: 90 ECTS credits
Duration*: Full-time: 12-14 months
Part-time: 24 months
*The maximum duration for completing the programme is 36 months from registration.
Students who are interested in obtaining CMI certification should contact the student support (LSBFsupport@lsbf.org.uk) team for further guidance.
Language: English
Accreditation: MFHEA
(Subject to Accreditation)**
Level: MQF/EQF - 7
Fees: £ 9,500 (Student Payment Plan Available)
Awarded By: LSBF Malta
Programme Highlights
- Master the principles of ethical AI and responsible computing, ensuring compliance with global regulatory frameworks and societal expectations.
- Develop the ability to critically evaluate and mitigate ethical risks in AI deployments, including bias, transparency, and accountability.
- Demonstrate expertise in creating ethical frameworks and policies for AI implementations that prioritise fairness, inclusivity, and societal benefit.
- Gain proficiency in assessing the societal and organisational impacts of AI systems, fostering ethical decision-making and responsible innovation.
- Master the principles and applications of advanced machine learning and deep learning algorithms to address complex business challenges.
- Critically design and implement scalable machine learning workflows using industry-standard frameworks like TensorFlow and PyTorch.
- Demonstrate the ability to integrate machine learning and deep learning solutions into organisational strategies, enhancing operational efficiency and innovation.
- Analyse and address the limitations and ethical considerations of deploying AI models, ensuring compliance with data privacy and interpretability standards.
- This AI MBA course provides the perfect bridge between business leadership and emerging AI technology.
Learning Outcomes
- Critically identify the core principles of computing and artificial intelligence within the context of business transformation and innovation.
- Comprehensively describe key frameworks, algorithms, and methodologies used in AI and computing to enhance organisational efficiency.
- Effectively apply AI-driven methodologies to analyse large datasets and extract actionable insights that align with organisational goals.
- Critically demonstrate the use of machine learning algorithms and frameworks to design and deploy predictive and prescriptive models in real-world scenarios.
- Skillfully design AI-powered business solutions that integrate computational tools and technologies to drive innovation and efficiency.
- Systematically construct scalable AI workflows that automate processes and enhance decision-making across organisational departments.
For further course information Click Here
Programme Structure
Stage I
- Marketing and the Business Environment
- Accounting and Managerial Finance
- Systems and Operations Management
- Strategic Management and Leadership
Stage II
- Ethical AI and Responsible Computing
- Machine Learning and Deep Learning Applications
Stage III
- Integrative Research and Consultancy Project
**The specialisations are subject to change according to student demand.
Entry Requirement
Qualification
One of the following:
- Relevant undergraduate degree (any class, any subject area) or ACCA/CIMA or other equivalent professional qualifications.
- Applicants who do not meet the stated entry requirements may apply via the Mature Route. Applicants will be asked to provide evidence of three years’ managerial work experience, plus certificates/ transcripts of their highest qualifications achieved to date. Applications via this route are assessed on a case-by-case basis.
- To know about Recognition of Prior Learning Policy (RPL) Click Here!
Application Documents
- Applicants who do not meet the academic criteria may be considered based on post-secondary level education and work experience under certain circumstances, subject to review from the LSBF Academic Admissions Board.
Language
One of the following:
- IELTS 5.5 or equivalent.
- High school completed in English.
- Bachelors completed in English.
- 2 years of work experience in an English-speaking environment (upon approval by admissions board).
Memberships
LSBF has a flexible approach to learning with a modified delivery that places a greater emphasis on applied and interactive learning. Ultimately, we aim to ensure that every single type of learner will study more efficiently, effectively and enjoyably.
Enrol on the online specialisation in Computing and AI today:
- Become a member of a rapidly growing online community – consisting of more than 15000 students from 150 different countries
- Take part in live chat sessions with your tutors, mentors and classmates
- Receive comprehensive text books, lecture notes and revision kit
- Measure your knowledge via hundreds of case studies contained in HD quality video sessions
- Test your progress with quizzes, tests and a self-assessed
This MBA in Computing and AI specialisation is ideal for those seeking to advance their careers in technology and innovation. An MBA can elevate your skills to create transformative solutions in the rapidly evolving world of artificial intelligence and computing. This 100% online course will equip you with the expertise needed to thrive in today’s dynamic and competitive tech-driven environment.
Each module will be delivered to you via:
- Professionally produced video lectures created by leading business practitioners.
- A designated tutor who will provide support and feedback throughout your programme.
- Case studies and discussion questions to enhance your understanding of theory in context.
- Downloadable e-books and digital library resources to aid your assignment writing and research.
- Access to online forums where you can share and discuss new concepts with fellow students and professionals from around the world.
Kindly be informed that this programme is undergoing accreditation from the Malta Further and Higher Education Authority (MFHEA). Should you wish to express your interest to register for this educational programme you are kindly requested to contact us on info@lsbf.edu.mt. A student agreement inclusive of payment of registration and tuition fees shall only be signed upon approval of accreditation of this educational programme, by the MFHEA.
Accreditation is a form of certification in which the MFHEA will verify that an academic or vocational programme meets minimum academic and vocational standards. Accreditation ensures that the qualification a student works so hard to obtain meets quality standards, and that it will be recognised as such by other educational institutions and employers. The decisive stage of accreditation is the mapping of the programme to the Malta Qualification Framework (MQF) and the European Qualifications Framework (EQF) — further information on the MFHEA and the MOF/EQF may be obtained from www.mfhea.mt)
Request More Info
Or contact a programme advisor by calling
Student comments
Caroline Cisco
Rashme Albert
Purity Laird