MBA in Data Science
Validated by Swiss School of Business and Management (SSBM)
Duration
12 monthsStudy Mode
OnlineTotal Tuition
7000 EURMonthly Payment
Payment plan is available. Please discuss this with your admissions advisorQualification
MBA ProgrammeStart Date
Unlike traditional universities, this online MBA offers rolling admissionsProgramme Overview
The Online MBA in Data Science from the Swiss School of Business and Management (SSBM Geneva) is a 100% online, internationally focused postgraduate degree designed for professionals who want to combine executive leadership with modern data-driven decision-making. The program equips managers with the knowledge to understand big data, artificial intelligence (AI), machine learning, analytics, and digital transformation without requiring an advanced mathematical or programming background. Rather than training students to become software developers or data engineers, the MBA prepares business leaders to use data strategically to improve organizational performance, innovation, and competitive advantage. The program consists of 10 core courses, awards 60 ECTS credits, and can be completed in 12 months or less while students continue working full-time.
Developed with input from more than 20 industry and business partners, the curriculum emphasizes practical application through case studies, projects, and business scenarios that reflect today's digital economy. Students learn through a modern online platform with recorded lectures, webinars, digital resources, networking opportunities via S-Connect, and access to an extensive online library. Graduates earn an internationally recognized MBA in Data Science from SSBM Geneva and gain the skills needed to lead organizations through digital transformation and data-driven innovation.
Areas of Specialization
The MBA is built around four major specialization themes:
Data Science
Data Analytics
Artificial Intelligence & Machine Learning
Business Acceleration through Digital Transformation
Caribbean organizations across tourism, financial services, healthcare, education, logistics, telecommunications, energy, retail, and government are increasingly relying on digital technologies and business intelligence to remain competitive. Executives today need to understand how to leverage data rather than simply collect it.
This MBA provides Caribbean professionals with practical leadership skills to make evidence-based decisions, implement AI initiatives, improve customer experiences, strengthen cybersecurity awareness, optimize operations, and drive innovation without leaving their jobs or relocating overseas. Because the program is fully online and self-paced, it is especially suitable for busy executives, entrepreneurs, senior managers, consultants, and government leaders throughout the Caribbean.
Higher Studies After Graduation
Graduates may continue into:
Doctor of Business Administration (DBA)
PhD in Business Administration
PhD in Data Science
PhD in Artificial Intelligence
PhD in Digital Transformation
Executive Doctorate in Management
Specialized postgraduate certificates in AI, Cybersecurity, Business Analytics, or Cloud Computing
Entry Requirements
Applicants are generally required to submit:
Bachelor's degree from a recognized university (or equivalent)
Academic transcripts
Curriculum Vitae (CV) or Resume
Copy of Passport or National ID
Passport-sized photograph
Additional Information:
Basic IT knowledge is recommended.
Applicants whose previous education was not completed in English may need to demonstrate English proficiency.
Applicants from unrelated academic backgrounds may be required to complete preparatory management courses before admission.
Who is this course for?
This MBA is designed for:
Business Executives
Senior Managers
Entrepreneurs
Operations Managers
Project Managers
IT Managers
Digital Transformation Leaders
Financial Professionals
Marketing Executives
Government Leaders
Business Consultants
Professionals seeking leadership roles in technology-driven organizations
Career Opportunities
Data Analytics Manager
Business Intelligence Manager
Digital Transformation Manager
Chief Data Officer
AI Strategy Consultant
Operations Director
Technology Project Manager
Business Intelligence Consultant
Product Manager (Digital Products)
Management Consultant specializing in Data Strategy
Programme Highlights
This course introduces students to the world of big data, explaining how organizations collect, process, manage, and extract business value from massive datasets. Students explore modern data ecosystems, data-driven business models, and the role of data science in organizational decision-making while developing an understanding of how data creates competitive advantage.
Students learn how managers use analytical tools to solve business problems, identify trends, evaluate organizational performance, and support strategic planning. The course focuses on interpreting business intelligence rather than technical programming, enabling leaders to make informed decisions using data.
Artificial Intelligence is rapidly transforming every industry. This module introduces executives to AI concepts, machine learning, automation, intelligent systems, and practical business applications. Students learn how AI supports productivity, innovation, customer engagement, and strategic growth while understanding its limitations and risks.
Organizations must continually adapt to remain competitive. This course examines digital transformation strategies, innovation management, emerging technologies, and methods for accelerating business growth through digital initiatives. Students learn how to lead organizational change in technology-driven environments.
Business leaders often need to communicate complex findings to non-technical audiences. This module teaches students how to transform data into clear visual dashboards, charts, and compelling business presentations that support executive decision-making and stakeholder engagement.
Students develop advanced strategic thinking skills by examining competitive analysis, organizational planning, business strategy development, implementation, and performance evaluation. The module emphasizes long-term value creation in rapidly changing global markets.
This course explores organizational security, information protection, competitive intelligence, risk management, cybersecurity awareness, and ethical data governance. Students learn how secure information systems support strategic business operations and resilience.
Modern marketing depends on customer insights and behavioral analytics. Students learn how businesses collect, analyze, and apply customer data to improve marketing effectiveness, personalize customer experiences, strengthen loyalty, and increase organizational profitability.
Students develop practical project leadership skills, including project planning, scheduling, budgeting, resource allocation, risk management, stakeholder communication, and project execution. The course prepares managers to successfully lead technology and business transformation projects.
Cloud technologies have become essential for modern organizations. This module explains cloud infrastructure, cloud services, digital platforms, scalability, cybersecurity considerations, and the strategic benefits of cloud adoption for businesses of all sizes.
Post Graduate Diploma in Data Science & AI
Validated by Swiss School of Business and Management (SSBM)
Duration
7 to 10 weeks (Flexible pace, requiring approximately 7–10 hours of study commitment per weekStudy Mode
OnlineTotal Tuition
€2,000Monthly Payment
—Qualification
Postgraduate DiplomaStart Date
Start Months: Anytime / Rolling Admissions (100% self-paced online format allows you to enroll and start at any point during the year)Programme Overview
Empowering Caribbean Professionals Through World-Class Tech Education, The Swiss School of Business and Management (SSBM) Geneva stands as a global leader in innovative, technology-driven business education, renowned for its commitment to academic excellence and flexible learning models. Delivered fully online with world-class faculty, the Post Graduate Diploma in Data Science & AI introduces students to modern data analytics, artificial intelligence, and strategic decision-making techniques tailored for today's data-driven economies. SSBM Geneva operates with strong institutional standards and hold premier global accreditations (including ACBSP, EduQua, and CHEA-recognized accreditations), ensuring that your qualification carries international prestige and recognition. For students across the Caribbean—from Jamaica and Trinidad & Tobago to Barbados and Guyana—this program offers a high-value, cost-effective portal to a Swiss quality education without the burden of relocation costs, travel visas, or taking leave from work. It presents a distinct Caribbean-focused value proposition by enabling local professionals to acquire cutting-edge artificial intelligence and analytics skills, directly positioning them to solve regional business challenges, modernize public and private sectors, and drive economic growth in the West Indies.
This program is exceptionally well-suited for Caribbean professionals eager to future-proof their careers and transition into high-demand tech and data roles across regional financial institutions, telecommunications, government agencies, and healthcare systems. Moreover, SSBM Geneva provides an accommodating, flexible, and supportive pathway for adult learners and non-traditional students. For Registered Nurses (RNs) seeking top-up degrees or pivoting into health informatics and data science, their clinical experience and prior tertiary education are highly valued. Mature applicants with relevant professional backgrounds or Level 6 nursing qualifications are given direct recognition through SSBM’s mature entry pathway. This allows registered nurses to seamlessly leverage their healthcare knowledge into administrative, analytical, and technological leadership roles, converting practical healthcare insights into powerful data-driven decision-making skills.
Entry Requirements
An Honours Degree in a related subject, an equivalent Level 6 Diploma, or an equivalent international qualification. Mature Learner Route: Candidates over 21 years old with relevant professional/management experience (subject to review by the SSBM Admissions Team). Required Documents: Updated Professional CV/Resume, Official Grade Transcripts/Diploma certificates, and a valid photo ID (Passport or Driver's License). Basic IT literacy and proficiency in English.
Who is this course for?
Aspiring Data Scientists & AI Specialists: Professionals seeking to master data manipulation, predictive modeling, and machine learning techniques.Business Managers & Executives: Leaders needing to understand how to implement AI and data analytics to optimize organizational strategy and operational performance. Registered Nurses & Healthcare Professionals: RNs looking to pivot into health data analytics, clinical informatics, or healthcare management roles.IT Professionals & Engineers: Tech practitioners wanting to specialize in advanced AI concepts and data-driven solution design.
Career Opportunities
Data Analyst / BI Specialist (Corporate & Government Sectors)
Health Informatics Specialist / Healthcare Data Analyst (Ideal for Registered Nurses)
Artificial Intelligence Consultant
Data Science Project Manager
Business Analytics Manager
Machine Learning Specialist
Digital Transformation Manager
Customer Insights & Marketing Analytics Manager
Operations & Logistics Data Consultant
Financial Data Analyst
Programme Highlights
This foundational module demystifies core AI principles, laying out the theoretical frameworks, algorithms, and logic that underpin modern machine learning and cognitive systems. Students gain an intuitive understanding of neural networks, natural language processing, and automated reasoning, enabling them to evaluate how intelligent systems operate and identify opportunities for technology implementation in real-world scenarios.
Designed to bridge raw data and strategic action, this module teaches learners how to gather, clean, analyze, and interpret complex datasets. Emphasis is placed on translating raw figures into actionable business insights, utilizing visualization tools, predictive modeling, and quantitative techniques to drive high-level managerial decision-making and operational performance.
This practical module focuses on the strategic deployment of artificial intelligence within commercial frameworks, marketing strategies, and enterprise operations. Learners explore how AI algorithms can personalize customer experiences, optimize supply chains, automate routine processes, and create dynamic competitive advantages in modern digital economies.
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