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Students
Tuition Fee
AED 38,000
Per year
Start Date
Medium of studying
Duration
24 months
Program Facts
Program Details
Degree
Diploma
Major
Artificial Intelligence | Software Development | Data Science
Area of study
Information and Communication Technologies
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
AED 38,000
Intakes
Program start dateApplication deadline
2024-01-01-
2024-04-01-
2024-09-01-
About Program

Program Overview


This Pearson BTEC Level 5 Higher National Diploma in Digital Technologies (Artificial Intelligence (AI) Solutions and Applications) equips students with skills in AI and Machine Learning, preparing them for careers in AI-related fields. The program covers AI fundamentals, intelligent agents, and Machine Learning algorithms, and offers flexible study options and a supportive learning environment. Graduates may pursue careers as AI Engineers, Data Scientists, or AI Consultants, or continue their studies at the postgraduate level.

Program Outline


Pearson BTEC Level 5 Higher National Diploma in Digital Technologies (Artificial Intelligence (AI) Solutions and Applications)


Degree Overview:


Overview:

  • This program enhances your career and employability in the areas of Artificial Intelligence (AI) by developing your skillset to study deployed Intelligent Systems and evaluate technical and ethical challenges and opportunities.
  • Equivalent to the first 2 years of a bachelor's degree, allowing for seamless transfers to a top-up degree with over 200 universities worldwide.
  • Focuses on building current skills required in the field of AI and Machine Learning, allowing students to develop up-to-date knowledge in AI solutions and applications.
  • Investigates AI fundamentals including data gathering, validation, and processing, along with other related topics.
  • Introduces students to the science behind machine intelligence and the philosophical debate around simulating human intelligence to solve real-world problems.
  • Provides an understanding of AI types and applications, intelligent agents, Artificial Narrow Intelligence (ANI), Artificial General Intelligence (AGI), Ambient Intelligence, top-down and bottom-up approaches to AI, and Machine Learning (ML) algorithms.

Objectives:

  • Equip students with skills to study deployed Intelligent Systems and evaluate technical and ethical challenges and opportunities.
  • Offer exciting career progression opportunities into Artificial Intelligence and related specialisms.
  • Provide opportunities to students with a global outlook to aspire to international career pathways.
  • Develop a strong practical foothold for students to enter or progress in employment in AI-related fields, or progress to a bachelor's degree in Artificial Intelligence or a related area of study.
  • The program is delivered by Regent Middle East, a leading education provider in the UAE.
  • The program is designed to be flexible and can be studied full-time or part-time.
  • The program is taught by experienced and qualified instructors.
  • The program offers a variety of learning resources, including online learning materials, tutorials, and workshops.

Outline:


Year 1:


Level 4 Units:


Core Units:

  • Professional Practice in the Digital Economy
  • Innovation & Digital Transformation
  • Cyber Security
  • Programming
  • Big Data & Visualisation
  • Cloud Fundamentals
  • Software Development Lifecycles
  • Fundamentals of Artificial Intelligence (AI) & Intelligent Systems

Year 2:


Level 5 Units:


Core Units:

  • Business Intelligence
  • Internet of Things
  • Emerging Technologies
  • Risk Analysis and Systems Testing
  • Application Development
  • Application Program Interfaces

Optional Units:

  • Digital Sustainability
  • Pitching and Negotiating Skills

Assessment:


Assessment methods may include:

  • Exams
  • Assignments
  • Projects
  • Presentations
  • Portfolios

Assessment criteria may include:

  • Knowledge and understanding of the subject matter
  • Critical thinking and problem-solving skills
  • Ability to apply theoretical concepts to real-world situations
  • Communication and presentation skills
  • Teamwork and collaboration skills

Teaching:


Teaching methods may include:

  • Lectures
  • Seminars
  • Workshops
  • Tutorials
  • Online learning materials
  • Guest lectures

Careers:


Potential career paths for graduates of this program may include:

  • AI Engineer
  • AI Developer
  • Machine Learning Engineer
  • Data Scientist
  • AI Consultant
  • AI Researcher

Other:

  • The program is accredited by Pearson BTEC, a leading international awarding body.
  • The program is delivered in English.
  • The program is open to students from all over the world.
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