BSc (Hons) Intelligent Systems - Universite des Mascareignes

The BSc (Hons) Intelligent Systems is meticulously designed to meet the demands of Industry 4.0 and its successors, where connectivity and data intelligence redefine industries. Our program emphasizes the convergence of Internet of Things (IoT), Data Science, and Artificial Intelligence (AI), pivotal pillars driving this transformative era. Students explore sensor and communication technologies, data analytics, and AI algorithms, equipping them with the skills needed to thrive in future industries environments. Our curriculum fosters technical proficiency, critical thinking, and problem-solving for modern industry challenges. By blending theory with practical applications, students drive efficiency, sustainability, and competitiveness in engineering through intelligent systems integration.

BSc (Hons) Intelligent Systems

Faculty of Sustainable Development and Engineering

BSc (Hons) Intelligent Systems

Course Overview

The BSc (Hons) Intelligent Systems is meticulously designed to meet the demands of Industry 4.0 and its successors, where connectivity and data intelligence redefine industries. Our program emphasizes the convergence of Internet of Things (IoT), Data Science, and Artificial Intelligence (AI), pivotal pillars driving this transformative era. Students explore sensor and communication technologies, data analytics, and AI algorithms, equipping them with the skills needed to thrive in future industries environments. Our curriculum fosters technical proficiency, critical thinking, and problem-solving for modern industry challenges. By blending theory with practical applications, students drive efficiency, sustainability, and competitiveness in engineering through intelligent systems integration.

Career Prospects

IoT developer, Industrial data scientist, IoT systems administrator, Data architect, Embedded systems developer, IoT solution architect, Control systems and automation technician, Cloud computing technician, Artificial intelligence specialist, Business intelligence analyst, Cybersecurity analyst, Virtual Reality (VR) developer

Teaching Methods

Teaching and learning take place through lectures, tutorials, study of projects, laboratory work, individual and group works, seminars and industrial placement. Students are expected to spend a considerable amount of time on private independent study. Even though the main medium of instruction will be English, some modules will be taught in French.

Entry
Requirements

EITHER Pass in: 3 subjects at A-level and 1 subject at subsidiary level at Higher School Certificate Examination

OR Pass in: 2 subjects at A-level and 2 subjects at subsidiary level at Higher School Certificate Examination

OR Pass in: 3 subjects at A-level at the London General Certificate Examination

OR any other acceptable equivalent qualification

Students must have studied Science/Technical subjects with passes preferably with passes in Maths and Physics ( or equivalent) at A level.

Course Structure

Semestre 1

  • Effective Presentation Skills
  • Techniques Rédactionnelles
  • Real Analysis & Linear Algebra (Maths 1)
  • Programming fundamentals
  • Physics Fundamentals
  • Introduction to Electric Circuits
  • Future Industries & Innovation
  • Introduction to Electronics

Semestre 2

  • Social and Environmental Responsibility 1
  • Calculus: Derivative and Integral (Maths 2)
  • La communication dans un monde globalisé et interculturel
  • Web & Database technologies
  • Advanced Programming
  • Engineering Physics
  • Microprocessor Architecture
  • Sensors and Measurement Systems

Semestre 3

  • Probability & Statistics (Maths 3)
  • Social and Environmental Responsibility 2
  • Personal and Professional Development Planning
  • Embedded Systems
  • Networking
  • Data Engineering
  • Wireless communications
  • System automation

Semestre 4

  • Transform Theory (Maths 4)
  • Diploma Project
  • Industrial training I
  • Microcontrollers for IoT Devices
  • Robotics Process Automation
  • Digital System Design
  • Antennas for IoT systems
  • Safety Engineering

Semestre 5

  • Social and Environmental Responsibility 3
  • Project Management
  • Entrepreneurship
  • Enterprise IoT
  • Deep Learning
  • Immersive mixed reality
  • Control systems
  • Digital Twin
  • Signal Processing

Semestre 6

  • Dissertation Project
  • Industrial Training II
  • Big data analytics
  • Data governance and Ethics
  • Sustainability and Climate Change
  • Wearable Technologies
  • Cloud Computing

Mode & Fees

Programmes

Full Time (4 years)-Beng programme
Full Time (3 years)-full degree programme
Full Time (1 year)-top up degree
Part Time (4.5 years)-full programme
Part Time (1.5 years)- top up degree

Fees (Yearly):

Local students (Full Time and Part Time)
Administrative fees: Rs 9,000
Tuition Fees: Rs 40,000 (Not applicable to eligible students under FTES)
International Students(Full time) – Administrative and Tuition Fees
SADC countries: Rs 49000
NON-SADC countries: Rs 84000

Top-up BSc (Hons) (Foundation Semester + Semesters 5 & 6) for students having a Technician Diploma in related field (Emerging Technologies, IT, Data Science, Automation, Internet of Things), Licence Technologique, or Diplôme Universitaire de Sciences et Techniques:

 

How
to Apply

Location

Available at Bel Air Campus

Any further inquiries?

Please contact on the following email: