Master of Science in Data Science & AI

Dual Global
Certification Bodhisastra University (USA) & ISDC (UK)

Up to 30% Early Bird
Scholarship

Early bird scholarship up to 30% Alert: Offer available till 31st of May 2026 Early bird scholarship up to 30% Alert: Offer available till 31st of May 2026

FEATURES OF MASTER OF SCIENCE (MS) IN DATA SCIENCE AND AI

Learning Formula

Blended (Live Online)

Intakes

April/October

Language

English

MS DATA SCIENCE & AI

The Master of Science (MS) in Data Science and AI with the European Global Institute of Innovation and Technology is a technical European Qualifications Framework (EQF) Level 7 European Master degree designed to transform professionals into data-driven leaders.

This program goes beyond coding by helping students master the intersection of Big Data, Artificial Intelligence, Machine Learning, and Business Strategy for global career advancement.

It is a 100% Online / Distance Learning program delivering the same curriculum and accreditation as the on-campus European version, allowing professionals in Nigeria to gain internationally relevant skills without relocation or international travel costs.

Tuition / Program Investment

₦4,000,000 Full Program Fee

Credits Weight 90 ECTS (European Credit Transfer and Accumulation System)

Academic Level Level 7 European Qualifications Framework (EQF)

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.

Learn from experienced faculty and global industry experts in Data Science, Artificial Intelligence, and Machine Learning.

Gain internationally recognized European qualifications while studying flexibly from anywhere in Nigeria.

Develop advanced analytical, AI, machine learning, and data-driven decision-making skills.

Work on practical datasets, AI applications, predictive models, and real-world business case studies.

Access academic mentors, digital learning resources, research guidance, and online support throughout the program.

Modular online learning combined with a final research project aligned with global industry standards.

Earn a European Master of Science (MS) in Data Science and AI with internationally recognized accreditation.

Successfully complete modules, assessments, and a final research project to graduate from the program.

Prepare for careers in AI engineering, Data Science, analytics, business intelligence, and digital transformation leadership.

Learn from academic professionals and industry practitioners with expertise in AI, analytics, and emerging technologies.

Preview the internationally accredited certificate awarded upon successful completion of the program.

What You Will Be Able to Do

Analyze and interpret complex datasets for strategic business and technology decisions
Build practical skills in Artificial Intelligence, Machine Learning, and predictive analytics
Apply Big Data technologies to solve real-world organizational and industry challenges
Design intelligent data-driven solutions for business growth and digital transformation
Use modern tools for data visualization, automation, and advanced decision-making systems
Execute research projects and AI-driven innovations aligned with global industry standards

COURSE CONTENT (MASTER OF SCIENCE IN DATA SCIENCE & AI)

Learn statistical concepts, probability distributions, hypothesis testing, and analytical methods for data-driven decision making.

Explore linear algebra, calculus, optimization, and mathematical foundations essential for AI and machine learning systems.

Build practical programming skills in Python for analytics, automation, data processing, and computational analysis.

Learn to create interactive dashboards, visual reports, and compelling data stories using Tableau.

Understand AI concepts, machine learning models, intelligent systems, and predictive technologies used across industries.

Apply machine learning techniques with Python including classification, regression, clustering, and predictive modeling.

Explore deep learning architectures including CNNs and RNNs for image, sequence, and time-series analysis.

Learn computer vision systems, object detection, image processing, and AI-powered visual recognition technologies.

Develop AI solutions for language understanding, text analytics, sentiment analysis, and conversational systems.

Understand large-scale data systems, distributed computing, NoSQL databases, and modern big data technologies.

Learn data storage systems, warehousing architectures, governance frameworks, and enterprise data management practices.

Build advanced academic and industry research skills for data science investigations, analysis, and final project execution.

python , sql, tableau and no sqi logo comes here