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

• Master advanced techniques in creating AI-driven visualisations to transform raw data into actionable insights that support strategic decision-making.
• Develop the ability to critically evaluate and design data narratives that effectively communicate AI-powered insights to diverse stakeholders.
• Gain proficiency in leveraging AI tools to automate data preparation, integrate real-time datasets, and generate dynamic visualisations.
• Demonstrate expertise in addressing ethical and regulatory considerations related to AI-driven data visualisation, including bias and data transparency.

• Master the principles of predictive analytics and apply machine learning algorithms to build and deploy predictive models that align with organisational objectives.
• Critically design and validate AI-powered workflows to identify patterns, forecast trends, and support proactive decision-making.
• Demonstrate the ability to integrate predictive analytics into business strategies, creating scalable solutions that drive innovation and efficiency.
• Analyse the ethical implications of predictive analytics, ensuring compliance with data privacy and regulatory standards while addressing issues of bias and interpretability.

• Critically apply AI-driven methodologies to analyze complex datasets, uncover actionable insights, and align analytical outcomes with strategic organizational objectives.
• Demonstrate proficiency in developing and deploying predictive models using advanced machine learning algorithms to address real-world business challenges and optimize decision-making processes.
• Effectively design and implement AI-powered workflows to automate data processing, enhance efficiency, and deliver real-time insights for proactive decision-making in dynamic business environments.
• Construct comprehensive data visualisation dashboards that utilize AI tools to communicate complex patterns, trends, and insights effectively to diverse stakeholders and decision-makers.

       For further course information Click Here

Stage I 

• Marketing and the Business Environment
• Accounting and Managerial Finance
• Systems and Operations Management
• Strategic Management and Leadership

Stage II 

• AI-Driven Data Visualisation and Strategic Communication
• AI-Powered Predictive Analytics

Stage III 

• Integrative Research and Consultancy Project

**The specialisations are subject to change according to student demand.

• 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!

• 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.

• 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).