Own the AI Revolution and Command the World’s Data
Launch a high-demand, future-proof career. Earn an M.Sc. in Data Science and Artificial Intelligence, master advanced machine learning algorithms, and build the intelligent systems transforming global industries.
APPLY NOW⚠ Alert: Offer available till 30th of June 2026
Own the AI Revolution and Command the World’s Data
Launch a high-demand, future-proof career. Earn an M.Sc. in Data Science and Artificial Intelligence, master advanced machine learning algorithms, and build the intelligent systems transforming global industries.
APPLY NOW⚠ Alert: Offer available till 30th of June 2026

The European Global Institute of Innovation & Technology
Certificate
Recognition
Global Opportunities
Recognition
Knowledge
The European Global Institute of Innovation & Technology
Certificate
Recognition
Global Opportunities
Recognition
Knowledge
Accreditation and Recognition
Our qualifications are supported by internationally recognised frameworks, accreditation bodies, and evaluation organisations, ensuring global credibility and academic recognition.












Faculty
At Docenti Global Business School, students learn from experienced academics and industry professionals who combine practical expertise with academic excellence. Through real-world insights, business case studies, and hands-on learning, our faculty helps students develop skills that create immediate professional impact.
Faculty Highlights
- 30+ facilitators and industry experts
- 90% are doctoral degree holders and actively working professionials.
- International and multicultural experience
- Real business case-based learning
- Expertise across leadership, innovation, and digital transformation
Take a glimpse of our expert faculty members here https://docentibusinessschool.com/faculty/

DOCENTI GLOBAL BUSINESS SCHOOL

DOCENTI GLOBAL BUSINESS SCHOOL
Program Details
The Master of Science (MS) in Data Science and AI is a technical European Qualifications Framework (EQF) Level 7 European Master degree designed to turn professionals into data-driven leaders. This program is not just about learning to code; it is about mastering the intersection of Big Data, Machine Learning, and Business Strategy.
This is a 100% Online / Distance Learning program. It offers the exact same curriculum and accreditation as the on-campus version in Europe, allowing you to gain high-demand global skills while serving your professional career in Nigeria without the life-disrupting costs of relocation or international travel.
Key Academic Facts
- Credits Weight: 90 ECTS (European Credit Transfer and Accumulation System).
- Academic Level: Level 7 (European Qualifications Framework).
- Duration: 12 to 18 Months.
- Structure: Modular Learning + Final Research Project.
- Accreditation: Accredited by the Malta Further and Higher Education Authority (MFHEA, Malta) and evaluated by WES, recognized globally.
- Tuition: ₦4,000,000.00
Key Learning Outcomes
- Demonstrate a deep understanding of core concepts in Data Science and Artificial Intelligence, including statistical modelling, machine learning algorithms, neural networks, big data technologies, natural language processing and computer vision.
- Implement programming languages commonly used in data science and AI, such as Python and R, and be proficient in using relevant libraries and frameworks.
- Develop expertise in data preprocessing, cleaning, and feature engineering to prepare data for analysis and modelling.
- Design and develop research-based solutions for complex problems in data science, artificial intelligence and machine learning industry through appropriate consideration for the public health, safety, cultural, societal, and environmental concerns.
- Design and implement machine learning models for various applications, such as classification, regression, clustering, and recommendation systems.
- Utilise tools like Matplotlib, Seaborn, and Tableau to create compelling visualisations that aid in decision-making processes.
- Apply NLP and computer vision techniques to process and analyse human language data, image recognition, object detection, and image generation tasks.
- Apply theoretical knowledge and work on capstone projects that showcase the ability to solve complex problems using data science and AI methodologies.
The Four Pillars of the Docenti Experience
Industry Connections
Build valuable connections with professionals, business leaders, and industry experts while gaining practical insights into today's business environment.
Global Exposure
Borderless learning that connects you to the global market, and opens opportunities to international partnerships
Executive Leadership
Prepares you to take up leadership responsibilities at organizational level, community, national and international levels
Career Impact
Gain the knowledge, credibility, and practical skills that supports your access to new and international opportunities.
Why Choose Our Master of Data Science and AI?
European Accreditation, Nigerian Price
Access a degree accredited by the Malta Further and Higher Education Authority (MFHEA) at a fraction of the cost of relocating to Europe.
Immediate Workplace ROI
Master SQL, Python, and Power BI. The curriculum is designed for immediate application in sectors like FinTech, Health, and Retail.
Future-Proof Your Career
With the global surge in AI adoption, this degree positions you for high-paying remote roles or senior leadership positions within global firms.
No Career Gap
Maintain your current seniority and salary in Nigeria while studying for a degree that is respected across the globe.
Research-Based Capstone Project & Expert Supervision
This 90 ECTS programme combines academic rigour with practical application. Through case-study-driven learning and a supervised capstone project, every strategy you develop is tested against credible research and real-world business challenges.
M.Sc. in Data Science & Artificial Intelligence
This program is built for professionals who are ready to stop watching the tech revolution from the sidelines and start driving it. Whether you want to architect next-generation machine learning systems, turn massive data chaos into clear business growth, or fast-track your way into high-stakes tech leadership, this Master’s degree gives you the exact blueprint to make it happen.
We skip the abstract academic theories to focus on what actually works. You’ll dive straight into hands-on machine learning, predictive modeling, deep learning, and big data architecture—skills you can literally deploy on the job from day one. You’ll learn how to spot hidden patterns in data, make high-impact decisions backed by computational logic, and engineer intelligent systems that solve real-world problems.
By the time you graduate, you won’t just be navigating the AI economy you’ll be the one building it.
M.Sc. Data Science & AI Curriculum
- Module 1: Statistics for Data Science
- Module 2: Mathematics for Data Science
- Module 3: Programming for Analytics using Python
- Module 4: Data Visualization and Storytelling with Tableau
- Module 5: Artificial Intelligence and Machine Learning
- Module 6: Machine Learning Methods using Python
- Module 7: Convolutional and Recurrent Neural Networks
- Module 8: Computer Vision and Image Recognition
- Module 9: Natural Language Processing
- Module 10: Big Data and NoSQL
- Module 11: Data Warehousing and management
- Module 12: Research Methods
Experience the World Through Docenti Global Business School Study Tours
Earn Globally Recognised Credentials
Receive a globally recognized M.Sc. qualification in Data Science and Artificial Intelligence, showcasing advanced skills in machine learning engineering, predictive modeling, and technical leadership.


Career Opportunities
This programme prepares professionals for high-impact roles in machine learning engineering, data architecture, AI strategy, and technical leadership across global industries. Graduates develop the elite skills needed to build next-generation intelligent systems, turn complex datasets into massive business growth, and engineer data-driven solutions that thrive in today’s AI economy.
- Data Analyst – Forecasting future trends and identifying significant patterns in data. Also, Analysing massive datasets for anomalies, patterns, etc., to make predictions.
- Natural Language Processing Engineer – Investigating the relationship between spoken language and computer systems, working on chatbot and virtual assistant projects.
- Research Scholar – Pursuing Ph.D. in the areas of Data Science.
- Researcher – Engaging in AI and computer science research, advancing Data Science technologies.
- Research Scientist – Expert in computational statistics, machine learning, deep learning, and applied mathematics, typically requiring a doctorate.
- Software Engineer – Developing applications using AI tools, also known as a programmer or AI developer.
- AI Engineer -Creating AI models from scratch, assisting stakeholders in understanding outcomes.
- Machine Learning Engineer – Designing, developing, and maintaining ML software systems using data.
- Data Scientist – Assembling, scrutinising, and understanding data sets.
- Computer Vision Engineer – Creating and working on systems and projects using visual data.







