Professional Diploma in Data Science & AI
5 months Part-time
Lithan Academy
Professional Diploma
Course Overview
The “Professional Diploma in Data Science & AI” course equips learners to gain skills for roles such as data scientist, AI specialist, and machine learning engineer.
Through four comprehensive modules, learners master data storage, pre-processing, and machine learning using low-code cloud solutions focusing on practical AI applications. It involves real-world tasks like fraud detection, sentiment analysis, and chatbot development, preparing graduates for impactful careers in data science and AI.
Design and deploy end-to-end intelligent applications by combining low-code development, automation, analytics, and AI to address real business needs.
Build and integrate AI-powered features such as chatbots, predictions, and decision flows using generative AI, prompt design, and responsible AI practices.
Prepare, model, and analyze data from multiple sources to generate insights, using structured pipelines and stakeholder-ready visualisations.
Develop, test, and deploy machine learning models using automated and no-code platforms, selecting suitable techniques for real-world scenarios.
Apply computer vision and language AI to extract, analyse, and interpret image and text data, delivering practical solutions such as OCR, sentiment analysis, and conversational systems.
Master these tech tools
Be a Data Science Specialist
13 minutes
Explore how anyone—even without a tech background—can become a Data Science Specialist through a skill-first, work-integrated learning journey. This episode breaks down career pathways, real-world projects, and stackable credentials that open doors to high-demand Data Science roles.
E-Learning
72 hours
72 hours
Flipped Class
72 hours
72 hours
Mentoring Support
336 hours
336 hours
Assessment
4 hours
4 hours
Prerequisites
Target Audience
Candidates who wish to acquire practical Data Science and Artificial Intelligence skills for entry-level or mid-level roles, as well as individuals intending to progress towards an international master’s degree pathway in related disciplines.
Candidates who wish to acquire practical Data Science and Artificial Intelligence skills for entry-level or mid-level roles, as well as individuals intending to progress towards an international master’s degree pathway in related disciplines.
Admission Prerequisite
- Minimum O-Level or its equivalent.
- Candidates who do not meet the minimum academic qualification may be considered on a case-to-case basis by the University.
- Mature candidates aged 25 years and above with a minimum of 5 years of relevant working experience will be considered on a case-to-case basis.
IELTS 5.5 or its equivalent.
Graduation Requirements
Minimum attendance of 75% in all the sessions of each module
Minimum pass grade in the summative assessment of each module
Minimum pass grade in the summative assessment of each module
Module Summary
Module 1
Module 2
Module 3
Module 4
Module 5
Module 6
Module 7
Module 8
Module 1
Low Code Application Development
Session Plan Details
This module introduces learners to Microsoft Power Platform, teaching low-code app development, workflow automation, and Dataverse integration. Participants create scalable, user-centric applications, automate multi-level processes, and enhance business efficiency. Emphasis is placed on conditional logic, dynamic decision-making, and user interface design, preparing learners for roles like Low-Code Developer, Power Platform Specialist, or business-focused tech roles.
*RPL module if completed ‘Professional Certificate in Digital Innovation’
*RPL module if completed ‘Professional Certificate in Digital Innovation’
What You’ll Learn
- Build data-driven apps using Microsoft Power Apps and Dataverse
- Automate workflows with Power Automate and approvals
- Design user-centric interfaces and forms
- Integrate external data sources and services
- Deploy scalable enterprise-ready applications
Module 2
AI Model Development
Session Plan Details
Learners explore generative AI, prompt engineering, and conversational AI using Microsoft Copilot Studio and AI Builder. The module covers chatbot design, entity and variable management, agentic flows, and AI integration into apps. Through hands-on projects, participants develop intelligent, automated solutions while applying ethical AI principles, enabling roles as AI Application Developers or Digital Innovation Consultants.
*RPL module if completed ‘Professional Certificate in Digital Innovation’
*RPL module if completed ‘Professional Certificate in Digital Innovation’
What You’ll Learn
- Understand generative AI and prompt engineering fundamentals
- Build AI chatbots using Microsoft Copilot Studio
- Configure entities, variables, and conversational flows
- Implement agentic flows and AI automation
- Apply ethical AI and governance principles
Module 3
Data Analytics & Management
Session Plan Details
This module equips learners to transform complex datasets into actionable business insights using Microsoft Power BI and Dataverse. Topics include data cleaning, transformation, modeling with DAX, interactive dashboard creation, and secure data governance. Learners gain practical experience in real-world analytics projects, preparing them for data-driven decision-making roles and enterprise analytics responsibilities.
*RPL module if completed ‘Professional Certificate in Digital Innovation’
*RPL module if completed ‘Professional Certificate in Digital Innovation’
What You’ll Learn
- Transform and clean data using Power Query
- Model data using DAX and relationships
- Create interactive dashboards in Power BI
- Implement data security and access controls
- Deliver insights through data storytelling
Module 4
Capstone Project – Intelligent Application
Session Plan Details
The Capstone Project integrates low-code development, AI model deployment, and data analytics into a comprehensive real-world application. Learners design, implement, and test enterprise solutions including apps, chatbots, and dashboards. This hands-on project consolidates technical, analytical, and problem-solving skills, enabling graduates to confidently deliver end-to-end intelligent applications that solve practical business challenges.
*RPL module if completed ‘Professional Certificate in Digital Innovation’
*RPL module if completed ‘Professional Certificate in Digital Innovation’
What You’ll Learn
- Plan and manage a real-world digital innovation project
- Build a low-code enterprise application
- Integrate AI chatbots and automation
- Design analytics dashboards for business insights
- Test, deploy, and present an end-to-end intelligent solution
Module 5
Data Science Essentials
Session Plan Details
Get introduced to foundational Python skills and data processing techniques. It covers machine learning basics and hands-on AutoML applications. Engage in projects exploring diverse machine learning algorithms and model comparisons. This module cultivates proficiency in data fundamentals, AI principles, and automated machine learning development, preparing learners with practical skills for data-driven environments.
What You’ll Learn
- Introduction to Python programming
- Functions, Conditional Statements, and Data Processing
- Fundamentals of data and storage
- Introduction to Machine Learning
- Automated Machine Learning
Module 6
Applied Machine Learning
Session Plan Details
Master predictive modeling, data classification, and pattern recognition techniques. Delve into text analysis using Azure’s Language Service, gaining insights into processing and extracting meaningful information from textual data. Get hands-on projects with Azure ML Designer to refine skills in applying machine learning to real-world scenarios.
What You’ll Learn
- Regression tasks
- Classification tasks
- Clustering tasks
- Azure AI Services for Pre-built models
- Text Analysis with the Language Service
Module 7
Deep Learning
Session Plan Details
Acquire a comprehensive exploration of computer vision, image classification, and natural language processing. Gain practical skills through projects like optical character recognition and text analysis using Azure AI tools. Excel in applying deep learning techniques to tasks such as face recognition and text extraction, for enhanced ability to tackle real-world challenges effectively.
What You’ll Learn
- Introduction to Computer Vision
- Face Recognition and optical character recognition
- Image classification
- Introduction to Natural Language Processing
- Conversational Language understanding
Module 8
Capstone Project – Data Science and Artificial Intelligence
Session Plan Details
Apply skills from earlier modules in real-world projects, focusing on data analysis, machine learning, and deep learning techniques. Gain hands-on experience, collaborating with professionals, and honing critical skills like problem-solving and communication. Be prepared to excel in data science and AI roles, bridging academic knowledge with industry demands effectively.
What You’ll Learn
- Immerse in the day-to-day operations of live industry projects, apply technical skills in data analysis, machine learning model development, and the utilization of deep learning techniques. Also cultivate critical thinking, problem-solving, and communication skills within a professional context.
Module 1
Module 2
Module 3
Module 4
Module 5
Module 6
Module 7
Module 8
Module 1
Low Code Application Development
Session Plan Details
This module introduces learners to Microsoft Power Platform, teaching low-code app development, workflow automation, and Dataverse integration. Participants create scalable, user-centric applications, automate multi-level processes, and enhance business efficiency. Emphasis is placed on conditional logic, dynamic decision-making, and user interface design, preparing learners for roles like Low-Code Developer, Power Platform Specialist, or business-focused tech roles.
*RPL module if completed ‘Professional Certificate in Digital Innovation’
*RPL module if completed ‘Professional Certificate in Digital Innovation’
What You’ll Learn
- Build data-driven apps using Microsoft Power Apps and Dataverse
- Automate workflows with Power Automate and approvals
- Design user-centric interfaces and forms
- Integrate external data sources and services
- Deploy scalable enterprise-ready applications
Module 2
AI Model Development
Session Plan Details
Learners explore generative AI, prompt engineering, and conversational AI using Microsoft Copilot Studio and AI Builder. The module covers chatbot design, entity and variable management, agentic flows, and AI integration into apps. Through hands-on projects, participants develop intelligent, automated solutions while applying ethical AI principles, enabling roles as AI Application Developers or Digital Innovation Consultants.
*RPL module if completed ‘Professional Certificate in Digital Innovation’
*RPL module if completed ‘Professional Certificate in Digital Innovation’
What You’ll Learn
- Understand generative AI and prompt engineering fundamentals
- Build AI chatbots using Microsoft Copilot Studio
- Configure entities, variables, and conversational flows
- Implement agentic flows and AI automation
- Apply ethical AI and governance principles
Module 3
Data Analytics & Management
Session Plan Details
This module equips learners to transform complex datasets into actionable business insights using Microsoft Power BI and Dataverse. Topics include data cleaning, transformation, modeling with DAX, interactive dashboard creation, and secure data governance. Learners gain practical experience in real-world analytics projects, preparing them for data-driven decision-making roles and enterprise analytics responsibilities.
*RPL module if completed ‘Professional Certificate in Digital Innovation’
*RPL module if completed ‘Professional Certificate in Digital Innovation’
What You’ll Learn
- Transform and clean data using Power Query
- Model data using DAX and relationships
- Create interactive dashboards in Power BI
- Implement data security and access controls
- Deliver insights through data storytelling
Module 4
Capstone Project – Intelligent Application
Session Plan Details
The Capstone Project integrates low-code development, AI model deployment, and data analytics into a comprehensive real-world application. Learners design, implement, and test enterprise solutions including apps, chatbots, and dashboards. This hands-on project consolidates technical, analytical, and problem-solving skills, enabling graduates to confidently deliver end-to-end intelligent applications that solve practical business challenges.
*RPL module if completed ‘Professional Certificate in Digital Innovation’
*RPL module if completed ‘Professional Certificate in Digital Innovation’
What You’ll Learn
- Plan and manage a real-world digital innovation project
- Build a low-code enterprise application
- Integrate AI chatbots and automation
- Design analytics dashboards for business insights
- Test, deploy, and present an end-to-end intelligent solution
Module 5
Data Science Essentials
Session Plan Details
Get introduced to foundational Python skills and data processing techniques. It covers machine learning basics and hands-on AutoML applications. Engage in projects exploring diverse machine learning algorithms and model comparisons. This module cultivates proficiency in data fundamentals, AI principles, and automated machine learning development, preparing learners with practical skills for data-driven environments.
What You’ll Learn
- Introduction to Python programming
- Functions, Conditional Statements, and Data Processing
- Fundamentals of data and storage
- Introduction to Machine Learning
- Automated Machine Learning
Module 6
Applied Machine Learning
Session Plan Details
Master predictive modeling, data classification, and pattern recognition techniques. Delve into text analysis using Azure’s Language Service, gaining insights into processing and extracting meaningful information from textual data. Get hands-on projects with Azure ML Designer to refine skills in applying machine learning to real-world scenarios.
What You’ll Learn
- Regression tasks
- Classification tasks
- Clustering tasks
- Azure AI Services for Pre-built models
- Text Analysis with the Language Service
Module 7
Deep Learning
Session Plan Details
Acquire a comprehensive exploration of computer vision, image classification, and natural language processing. Gain practical skills through projects like optical character recognition and text analysis using Azure AI tools. Excel in applying deep learning techniques to tasks such as face recognition and text extraction, for enhanced ability to tackle real-world challenges effectively.
What You’ll Learn
- Introduction to Computer Vision
- Face Recognition and optical character recognition
- Image classification
- Introduction to Natural Language Processing
- Conversational Language understanding
Module 8
Capstone Project – Data Science and Artificial Intelligence
Session Plan Details
Apply skills from earlier modules in real-world projects, focusing on data analysis, machine learning, and deep learning techniques. Gain hands-on experience, collaborating with professionals, and honing critical skills like problem-solving and communication. Be prepared to excel in data science and AI roles, bridging academic knowledge with industry demands effectively.
What You’ll Learn
- Immerse in the day-to-day operations of live industry projects, apply technical skills in data analysis, machine learning model development, and the utilization of deep learning techniques. Also cultivate critical thinking, problem-solving, and communication skills within a professional context.
Flexible Learning Pathway
The Professional Diploma in Data Science & AI makes you eligible for a Top-Up Master’s Degree in Computer Science awarded by Università degli Studi Guglielmo Marconi (Guglielmo Marconi University), Italy.
Professional Certificate
Professional Diploma in Data Science & AI
Professional Diploma
Master's Degree (Top-up)
Certification(s)
Certification(s) Earned
- Professional Diploma in Data Science & Artificial Intelligence awarded by Lithan Academy
Pricing
Course Fee
USD 2,000
Payment Plan
Tuition fee is available for full payment and installments before the start of class. For more details Contact Us.
| Professional Certificate in Cloud Systems Support | Installment Plan | Tuition Fees |
|---|---|---|
| Month 1 | USD 1,250 | |
| Month 2-4 | USD 250 /month | |
| Total | 4 installments | USD 2,000 |
About Lithan Academy
Lithan Academy is an accredited training organization endorsed by various government agencies under Singapore’s ministry of education. We are EduTrust certified by the Committee for Private Education (CPE) and a Centre for Continuous Education and Training (CET) appointed by SkillsFuture (SSG) Singapore. We are also an accredited international training center for Pearson UK.
We are recognized for our learning innovation with local and international awards including the Microsoft Global Learning Partner of the Year Award (Top 3) in 2018, Asia’s Pearson’s College of the Year (Bronze) Award in 2019, and AsiaPac CIO’s Top 10 Edutech Solution Provider Award in 2020, amongst others.
Our innovation CLaaS® delivers Competency Learning as a Service to bridge the digital skills gap with competency-based curriculum, work-based learning pedagogy, and blended work2learn journey. CLaaS® courses have received accreditations from education regulatory bodies and over 100 international universities. We have served over 50,000 learners and 2000 enterprises with an above 90% completion rate.
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