UK: 80a Ashfield Street, Unit 4, London, England, E1 2BJ
MSc

Artificial Intelligence & Data Science

PPA Business School, France

12-18 Months
100% Online
Advanced Level

Course Overview

This comprehensive Master's program in Artificial Intelligence and Data Science provides students with advanced knowledge and practical skills in AI, machine learning, deep learning, and big data analytics. Delivered in partnership with PPA Business School France, this program combines theoretical foundations with hands-on R&D projects, preparing graduates for leadership roles in the rapidly evolving AI industry.

Key Features

Advanced Machine Learning
Deep Learning & Neural Networks
Big Data Analytics
Research & Development Component

Assessment Methods

  • Research dissertations and projects (40%)
  • Technical assignments and case studies (30%)
  • Written examinations (20%)
  • Practical demonstrations and presentations (10%)

Course Curriculum

Our comprehensive curriculum is designed to provide you with both theoretical knowledge and practical skills.

Module 1

Foundations of Artificial Intelligence

Introduction to AI concepts, history, and applications

20 Credits
Module 2

Machine Learning Algorithms

Supervised and unsupervised learning, model evaluation, and optimization

20 Credits
Module 3

Deep Learning & Neural Networks

CNNs, RNNs, transformers, and advanced architectures

20 Credits
Module 4

Big Data Analytics

Data processing frameworks, distributed computing, and scalable systems

20 Credits
Module 5

Natural Language Processing

Text processing, sentiment analysis, and language models

20 Credits
Module 6

Computer Vision

Image processing, object detection, and visual recognition systems

20 Credits
Module 7

AI Ethics & Governance

Ethical frameworks, bias mitigation, and responsible AI development

10 Credits
Module 8

Research Dissertation

Original research project with academic supervision

50 Credits
Total Credits: 180

Learning Outcomes

Upon successful completion of this program, you will be able to:

1

Design and implement advanced machine learning algorithms for real-world applications

2

Develop deep learning models using neural networks and modern frameworks

3

Analyze and process big data using industry-standard tools and techniques

4

Conduct original research in AI and contribute to the field through R&D projects

5

Apply AI solutions to solve complex business and technical challenges

6

Evaluate ethical considerations and societal impacts of AI systems

Entry Requirements

To be eligible for this program, applicants must meet the following requirements:

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or related field
  • Basic programming knowledge (Python preferred)
  • Understanding of mathematics and statistics
  • English language proficiency (IELTS 6.5 or equivalent)
Alternative Entry Routes: If you don't meet the standard entry requirements, we offer alternative pathways. Contact our admissions team to discuss your options.

Your Instructor

Dr. Sarah Mitchell

AI Research Director

Dr. Mitchell has over 15 years of experience in AI research and development, with publications in leading journals and contributions to major AI frameworks.

Student Testimonials

"This program transformed my career. The R&D component allowed me to work on cutting-edge AI projects that are now being used in production."

Ahmed Rahman MSc AI & Data Science Graduate

Ready to Start Your Journey?

Join thousands of students who have transformed their careers with BCET.