WBL Diploma in Emerging Technology (Data Science)

Why Choose the Data Science Diploma?

The Work-Based Learning (WBL) Diploma in Emerging Technology (Data Science) is designed to provide students with the essential skills and knowledge required to excel in the field of data science. This diploma equips learners with a strong foundation in core technologies like Artificial Intelligence, Blockchain, Cloud Computing, and Cybersecurity, along with specialized knowledge in data science applications. Participants will learn to analyze, manage, and derive meaningful insights from data, using cutting-edge tools such as Microsoft Azure and Databricks.

The program emphasizes hands-on experience through real-world applications, ensuring that graduates are fully prepared to work as Data Scientists, Machine Learning Engineers, or AI professionals. By completing this diploma, students will gain proficiency in the entire data science lifecycle, from data preparation and analysis to model building and deployment using cloud platforms. The program integrates both theoretical learning and practical training through labs, projects, and real-world work-based learning.

Understand and apply core data science concepts, including data analysis, machine learning, and artificial intelligence.

Demonstrate proficiency in key programming languages such as Python, JavaScript, and Linux, crucial for data science applications.

Analyze and interpret large datasets using advanced tools like Microsoft Azure and Databricks.

Build, train, and deploy machine learning models on cloud platforms such as Microsoft Azure.

Apply foundational knowledge of cloud computing, blockchain, cybersecurity, and IoT to enhance data-driven solutions.

Use professional skills such as digital literacy, entrepreneurial thinking, and communication to manage data science projects effectively.

Develop and implement AI and machine learning solutions in real-world business settings.

Collaborate on interdisciplinary projects that integrate emerging technologies with data science solutions.

Prepare for industry-recognized certifications in data science, machine learning, and cloud-based technologies.

Data Science Courses

Students will receive comprehensive training through a blend of theoretical knowledge and hands-on labs, leading to certifications recognized by industry giants.

01

IELTS & English Comprehension

The IELTS preparation course helps students improve their listening, speaking, reading, and writing skills to achieve their desired scores for academic or professional purposes.

02

Professional Skills

The Professional Skills course equips students with essential soft skills like communication and teamwork, entrepreneurship fundamentals, and digital literacy to succeed in modern work environments.

03

Islamic Education

Islamic Education, providing comprehensive studies in Islamic history, theology, Quranic studies, and ethics to deepen understanding and knowledge of Islamic teachings and principles.

04

Computing Fundamentals

Computing Fundamentals provides foundational knowledge in essential computing concepts, including IT infrastructure, cybersecurity principles, data management, and basic programming.

05

Software Development Fundamentals

The Software Development Fundamentals course introduces core programming concepts, software development lifecycle, algorithms, and best practices.

06

Data Science Fundamentals

Data Science Fundamentals provides a foundational understanding of data analysis, statistics, machine learning principles, and data visualization techniques.

07

Network and Infrastructure Development

Networks and Infrastructure Fundamentals offers foundational knowledge in networking concepts, infrastructure design, protocols, and security practices.

08

Blockchain Fundamentals

Blockchain Fundamentals provides an introduction to the principles of blockchain technology, covering distributed ledgers, cryptography, consensus mechanisms, and smart contracts.

09

Artificial Intelligence Fundamentals

Artificial Intelligence Fundamentals introduces core AI concepts, including machine learning, neural networks, natural language processing, and ethical considerations

10

Cloud Fundamentals

Cloud Fundamentals provides a foundational understanding of cloud computing concepts, including cloud architecture, deployment models, virtualization, and security.

11

Cybersecurity Fundamentals

Cybersecurity Fundamentals introduces essential concepts of cybersecurity, including threat assessment, risk management, encryption, and security protocols.

12

IoT Fundamentals

IoT Fundamentals provides an introduction to the Internet of Things (IoT) concepts, covering device connectivity, data collection, communication protocols, and security measures

13

Web Engineering

Web Engineering (HTML, CSS) offers foundational knowledge in web development, focusing on HTML for structuring web content and CSS for styling and layout.

14

Java Script

JavaScript Fundamentals provides an introduction to the JavaScript programming language, covering core concepts such as variables, functions, events, and the Document Object Model (DOM).

15

Linux Fundamentals

Linux Fundamentals offers foundational knowledge of the Linux operating system, covering command-line operations, system administration, file management, and scripting,

16

Python Fundamentals

Python Fundamentals introduces the core concepts of Python programming, including data types, control structures, functions, and modules.

17

Azure Fundamentals

Introduction to Azure cloud services, management, networking, and security essentials

18

Designing and Implementing a Data Science Solution on Azure

Build and deploy data science models with Azure’s integrated tools.

19

Designing and Implementing a Microsoft Azure AI Solution

Develop AI-driven solutions leveraging Azure’s machine learning and AI services.

20

Data Engineering on Microsoft Azure

Construct data pipelines, storage, and analytics solutions on Azure platform.

21

Designing Microsoft Azure Infrastructure Solutions

Create scalable, secure infrastructure solutions for Azure-based applications and services.

Employment Opportunities

Upon completing the diploma, you will be monitored by mentor companies that are actively seeking skilled talent. These companies include industry leaders such as Microsoft, Arrow, Atea, and Crayon, among others.

Their involvement not only ensures your training aligns with real-world job requirements but also provides you with direct pathways to employment opportunities.

Entry Requirements

Minimum qualification: Matriculation (10th grade) or equivalent. Candidates must be at least 16 years old and provide proof of physical fitness along with up-to-date immunization records.

Diploma

Upon successful completion of the WBL Diploma in Emerging Technology (Data Science), you will receive a professional certificate, demonstrating your expertise in AI development and emerging technology skills. This certification validates your proficiency and readiness for career opportunities in the fast-evolving field of data science.

01

Online Learning

Students engage in theoretical coursework via an online learning management system, offering them the flexibility to study at their own pace, anytime and anywhere.

02

Work-Based Training

Students gain hands-on experience in IT labs, software houses, and companies, applying skills with industry professionals and accessing global work-based training opportunities.

03

Hands-On Labs Training

Students participate in practical hands-on labs training. Institutes with state-of-the-art labs across the globe will be partnered to ensure students have access to facilities for their practical training.

Overview of the Program Fees

The following fee shall be charged for the 2-Years Diploma.
Local Pakistani student will pay in PKR and Overseas Pakistani or International student will pay in USD.

Monthly Fee Plan

PKR 7000 |
$25

Payable on 5th of Every Month

Admission Fee: PKR 14,000 | $50
Regulatory Body Fee: PKR 21000 | $75
Total Monthly Fee Installments: 24
Total Diploma Fee:: PKR 203000 | $725
Labs Access in 13th Month (2d Year)
Start with 2 courses and progress to the next 2 upon completion.

Quarter Fee Plan

PKR 28,000 |
$100

Payable of 5th of every 4th Month

Admission Fee: PKR 14,000 | $50
Regulatory Body Fee: PKR 21000 | $75
Total Fee Installments: 6
Total Diploma Fee:: PKR 203000 | $725
Labs Access in 9th Month
Start with 4 courses and progress to the next 4 upon completion.

Annual Fee Plan

PKR 84000 | $ 50

Payable 5th of every second month

12 Installments of PKR 14,000
12 Installments of USD 50
Total Tuition Fee: PKR 168,000 | $ 600
Total Diploma Fee: PKR 203000 | $ 725
Labs Access from 1st Month
Full Access to All Courses

Benefits of Data Science

Data Scientists are crucial in today’s digital world, enhancing efficiency and innovation. Our program prepares you to scale your career alongside industry trends, ensuring you meet evolving business demands.

01

In-Demand Expertise

Data Scientists are essential in today’s digital landscape, driving efficiency, security, and innovation in various industries.

02

Scalability and Flexibility

Our program is designed to adapt to the growing demands of businesses, preparing you to scale up your career in sync with the industry trends.

Get Started!

Joining Ghunchas means partnering with a trusted leader in education, gaining hands-on experience, earning global certifications, and accessing worldwide career opportunities.