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Level 3 Extended Diploma in IT and Data Science

BERKELEY SCHOOL OF BUSINESS, ARTS & SCIENCES

The Level 3 Extended Diploma in IT and Data Science provides practical knowledge in information technology, programming, data analytics, machine learning, artificial intelligence, and business applications. It prepares learners for higher education and entry-level careers in the rapidly growing fields of IT and data science.

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Level 3 Extended Diploma in IT and Data Science
Overview
Level 3 Extended Diploma in IT and Data Science

Level 3 Extended Diploma in IT and Data Science

Learners study computer systems, coding, networking, cybersecurity, database management, Python programming, data analytics, machine learning, data visualization, statistics, artificial intelligence, and graph data science. Through practical assignments and real-world projects, they gain experience in collecting, analyzing, interpreting, and presenting data. They also develop solutions to complex business and technology challenges.

The Level 3 Extended Diploma in IT and Data Science provides a clear progression route to Level 4 and Level 5 qualifications and undergraduate degree programs in Information Technology, Data Science, Computer Science, Artificial Intelligence, Software Engineering, and related disciplines. It also prepares learners for entry-level careers in IT, software development, business intelligence, and data analytics.

Offered by

Berkeley School of Business, Arts & Sciences

Vision & mission

The program is designed to develop future-ready professionals with a strong foundation in information technology, programming, data analytics, artificial intelligence, and machine learning. Through practical, industry-focused learning, learners build technical, analytical, and problem-solving skills. These skills prepare them for higher education, professional development, and successful careers in the rapidly evolving fields of IT and data science.

What is the eligibility?
  • Secondary school qualification or an equivalent Level 2 qualification.
  • Interest in information technology, data science, programming, data analytics, artificial intelligence, or digital technologies.
  • Desire to develop practical technical and analytical skills.
  • Suitable for learners planning higher education in IT and data science.
  • Ideal for individuals seeking entry-level careers in IT and data science.
  • Relevant work experience may be considered according to the learning provider's admission requirements.
Who can do?
Who can do?
Anyone interested in learning the following concepts can pursue
Information Technology Fundamentals, Data Science, Python Programming, Data Analytics, Artificial Intelligence, Machine Learning, Computer Networking, Database Management, Cyber Security, Data Visualisation.
Individuals with the following aspirations or career interests
Junior Data Analyst, Data Technician, IT Support Technician, Business Intelligence Assistant, Junior Python Developer, Junior AI Support Specialist, Database Assistant, Network Support Technician, Systems Support Technician, Help Desk Technician.

Course structure

Session 1: Higher Education and Business Foundation

This session develops essential academic and business knowledge required for further study in IT and Data Science. Learners build communication, cultural awareness, business environment knowledge, marketing understanding, resource management, and human resource awareness.

Included

English for Higher Education

Included

Communication and Cultural Skills

Included

Business Environment

Included

Business Resources

Included

Marketing Introduction

Included

Human Resource Management

Session 2: Core Information Technology

This session introduces learners to key IT concepts and practical digital skills, including computer systems, coding, website development, networking, mobile communication, cyber security, and business use of social media.

Included

Computer Systems

Included

Coding and Website Development

Included

Networks

Included

Mobile Communications

Included

Cyber Security

Included

Social Media for Business

Session 3: Data Science and Analytics

This session focuses on data science foundations, Python programming, data visualization, descriptive statistics, analytics concepts, and practical data analysis using Python.

Included

The Field of Data Science

Included

Python for Data Science

Included

Data Visualisation

Included

Descriptive Statistics

Included

Fundamentals of Data Analytics

Included

Data Analytics with Python

Session 4: Machine Learning and Applied Data Science

This session develops applied data science knowledge through machine learning models, regression techniques, decision trees, clustering, synthetic data, privacy, security, and graph data science.

Included

Machine Learning Methods and Models

Included

The Machine Learning Process

Included

Linear Regression

Included

Logistic Regression

Included

Decision Trees

Included

K-means Clustering

Included

Synthetic Data for Privacy and Security

Included

Graphs and Graph Data Science

Learning Methodology

Berkeley offers expertly developed learning materials tailored to meet participants' needs, ensuring comprehensive coverage of the syllabus and optimal exam preparation.

‣ Tailored Material: Guides are designed to cover the entire syllabus, offering full preparation and deep understanding.

‣ In-Depth Content: Unlike superficial outlines, our materials provide fully developed theories and concepts, equipping participants with complete knowledge.

‣ Strategic Study: We help participants prioritize study time by indicating the weight of each topic, allowing efficient focus on crucial areas.

‣ Difficulty Levels: Topics are labeled as "Awareness" or "Proficiency," guiding participants to allocate time based on the required depth of knowledge.

‣ Comprehensive Coverage: Our materials include detailed theory and a glossary of technical terms to clarify complex concepts.

‣ Effective Learning Techniques: Visual aids and memorization techniques ensure long-lasting retention, helping candidates succeed.

Berkeley’s methodologies equip participants with the essential knowledge and tools for both exams and future success.

Lectures
Lectures

Our lecture plan integrates structured learning with interactive teaching methods, promoting engagement and collaboration. This approach ensures a comprehensive understanding of concepts, fostering critical thinking and practical application in real-world scenarios.

Practice Session
Practice Session

Practice sessions offer hands-on experience through guided exercises, enhancing skills and reinforcing knowledge. This practical approach ensures mastery of concepts, promoting.

Mock Examination
Mock Examination

Mock examinations simulate real test conditions, providing valuable practice and assessment. This helps identify strengths and weaknesses, ensuring thorough preparation and boosting confidence for actual exams.

Berkeley Middle East Performance Standards

Evaluates and ensure the quality of the training program and all its deliverables.  This is measured through the following indicators:
‣ Instructors' experience and style in presenting and explaining topics.
‣ Variety and balance of teaching methods (such as discussions, case studies, mock exams and videos) used in the course to ensure retention and to match the learning objectives.
‣ Level of interactivity.
‣ Feedback from program participants
‣ Full compliance with Institute standards and guidelines for preparation and study requirements and methodology.
‣ Progress reports from the training program provider.

Success Stories
Success Stories

“As a strong advocate for education and human development, I commend Berkeley for its exceptional commitment to empowering future leaders. The institution stands as a symbol of excellence, innovation, and opportunity. Students who walk its halls are nurtured with knowledge, values, and vision, qualities that contribute to building a stronger and more prosperous future for our nation.”- H.H. Shaikh Khalifa Al Hamid

Visit Our Alumni

Alumni Benefits

‣ Exclusive Networking Events: Access invitations to industry-leading events and thought-leadership gatherings featuring renowned speakers.


‣ Monthly Updates: Stay informed with a newsletter highlighting the latest research, events, and activities from the school.


‣ LinkedIn Community Access: Join the Executive Education LinkedIn group for networking and professional development opportunities.


‣ Educational Discounts: Enjoy a 20% discount on open-enrollment programs and access to workshops focused on emerging trends.


‣ Global Alumni Network: Connect with a diverse alumni community through the Berkeley School’s online network and engage in country and interest groups.

Is It Worth the Investment?

The Level 3 Extended Diploma in IT and Data Science equips learners with practical skills in information technology, data analytics, Python programming, artificial intelligence, and machine learning, preparing them for higher education and entry-level careers in the rapidly growing digital and data science sectors.

United Kingdom: £24,000 – £40,000
United States: $45,000 – $80,000
United Arab Emirates: AED 70,000 – AED 150,000
Canada: CAD 45,000 – CAD 75,000
Saudi Arabia (KSA): SAR 60,000 – SAR 130,000

Career path

Progression Route:

Upon successful completion of the Level 3 Extended Diploma, learners can progress to Level 4 and Level 5 qualifications in Information Technology, Data Science, Artificial Intelligence, Software Engineering, Computer Science, or Computing. The qualification also provides a strong foundation for undergraduate degree programs. It prepares learners for entry-level careers in the rapidly growing IT, data analytics, and artificial intelligence sectors.

What You Earn

You will get a certificate of completion, which is highly reputed and accepted by employers

What You Earn

Career Opportunities

Develop industry-relevant technical and analytical skills that prepare you for entry-level roles in IT support, data analytics, business intelligence, software development, artificial intelligence, and digital technology sectors.

Practical Data Science Skills

Build hands-on skills in programming, data analysis, machine learning, computer systems, databases, and information technologies through practical assignments and real-world applications.

Recognized Certification

Receive a Certificate of Completion from a recognized awarding organization. It demonstrates your knowledge and practical skills in information technology and data science. The certificate also strengthens your profile for employers and higher education institutions.

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