Master in Computer Science-Data Science-AI
Why pursue a Master in Computer Science?
Academic qualifications still matter
A quick scan of popular job portals shows that the prerequisite for many PME roles is minimally a bachelor’s or master’s degree qualification. Master’s holders certainly have the edge.
Higher degree graduates are 100 times more rare
33% of locals are bachelor’s degree holders whereas only 0.3% are graduates of higher degrees*, resulting in master’s degree graduates having an academic advantage over most workplace peers and job applicants.
*Source: Extracted from singstat.gov.sg
The IT & digital sector is booming post Covid
Singapore went through 5 years’ equivalent of digital transformation in the first 8 weeks of the pandemic*, resulting in the need of an additional 1.2 million digital experts in the country by 2025**. A master’s degree in computing will help you capitalise on the high demand and secure lucrative management career opportunities in the future.
*Source: Mckinsey.com
**Source: Report from Amazon Web Services (AWS)
**Source: Report from Amazon Web Services (AWS)
Why pursue a Master in Computer Science?
Academic qualifications still matter
A quick scan of popular job portals shows that the prerequisite for many PME roles is minimally a bachelor’s or master’s degree qualification. Master’s holders certainly have the edge.
Higher degree graduates are 100 times more rare
33% of locals are bachelor’s degree holders whereas only 0.3% are graduates of higher degrees*, resulting in master’s degree graduates having an academic advantage over most workplace peers and job applicants.
*Source: Extracted from singstat.gov.sg
The IT & digital sector is booming post Covid
Singapore went through 5 years’ equivalent of digital transformation in the first 8 weeks of the pandemic*, resulting in the need of an additional 1.2 million digital experts in the country by 2025**. A master’s degree in computing will help you capitalise on the high demand and secure lucrative management career opportunities in the future.
*Source: Mckinsey.com
**Source: Report from Amazon Web Services (AWS)
**Source: Report from Amazon Web Services (AWS)
Why choose us
High Affordability
Enjoy up to 95%
SSG funding
on SCTP course and offset unfunded fees by SkillsFuture Credit and PSEA
Non-invasive training schedule
Our blended learning delivery through a combination of self-paced learning, instructor-led flipped classes and personalised mentoring reduces in-class time commitment for work life balance.
More than 10 years of Job Placement Success
Tap on our job placement assistance, backed by more than 10 years of proven track record, to get into a data analytics or data science related job role for career changers and job seekers.
Why choose us
We have mapped our SCTP course and WSQ modules to the master's degree pathway. You will receive up to 95% funding for the SCTP course, and any unfunded fees can be offset by SkillsFuture Credit or PSEA to minimise any cash payment needed.
Profile | SSG Funding |
All Singapore citizens, permanent residents, and LTVP+ Holders | Up to 70% |
Singapore citizens, aged 40 and above | Up to 90% |
Singapore citizens who are jobseekers with greater needs*
only applicable for SCTP courses | Up to 95% |
*Individuals must be Singapore Citizens and meet one of the following eligibility criteria:
- Long-term unemployed individuals (unemployed for six months or more); or
- Individuals in need of financial assistance – ComCare, Short-to-Medium Term Assistance (SMTA) recipients or Workfare Income Supplement (WIS) recipients; or
- Persons with Disabilities
On top of course fee funding you can gain access to the following financial aid to help defray your out-of-pocket expenses when you enrol in our training programmes.
Singaporean aged 25 and above will receive SkillsFuture Credits which can be used to offset course fees of eligible courses after any applicable funding.
The table below shows the different types of SkillsFuture Credits available and all of them can be used for our training programmes:
Types of SkillsFuture Credit | Amount |
Opening SkillsFuture Credit:
For all Singaporeans aged 25 years and above
Claimable for a wide range of SkillsFuture credit-eligible courses
Does not expire | $500 |
One-off SkillsFuture Top-Up: | $500 |
Additional SkillsFuture Credit (Mid-Career): | $4,500 |
This is part of the Post-Secondary Education Scheme to help pay for the post-secondary education of Singaporeans.
It can be used for:
- Pay for your own or your siblings' approved programmes at approved institutions.
- Repay government education loans and financial schemes.
You can call 24-hour automated PSEA hotline at 6260 0777 to check your account balance and use them to offset course fees of eligible courses after any applicable funding.
Personalized, work-integrated & outcome-based learning journey to enable you to acquire work-ready skills
We designed our competency-based curriculum in alignment with Singapore’s skills framework for bridging digital skills gap to develop future ready talents with job specific knowledge, skills & abilities.
We adopt 70:20:10 work-integrated learning with industry experts mentoring on real-world projects to help learners obtained work-ready skills.
We deliver blended learning involving self-paced e-learning, live flipped classes, and project mentoring for a personalized learning journey to create work-study-life balance and learning efficiency.
We adopt 70:20:10 work-integrated learning with industry experts mentoring on real-world projects to help learners obtained work-ready skills.
We deliver blended learning involving self-paced e-learning, live flipped classes, and project mentoring for a personalized learning journey to create work-study-life balance and learning efficiency.
Our Job Placement Assistance, with a proven track record of more than 10 years, is built upon a strong relationship with over 2,000 companies, with more than 100 of them actively hiring at any point in time.
You will go through a career-builder workshop which consists of resume-building, interview coaching, and industry insights sharing to prepare yourself for the interviews ahead. You will then go into a 1-to-1 coaching session to plan and align your personal career aspirations and expectations with the upcoming job opportunities. Once we have ensured that all your job search and interview resources are ready, you will begin to connect with our active pool of hiring employers through a mixture of physical recruitment drives, employers networking sessions, and online AI job matching to secure your digital job role.
Career Builder Workshop
1-to-1 Career Coaching
Review of Career Development Resources
Recruitment Activities & Interviews
Career Builder Workshop
1-to-1 Career Coaching
Review of Career Development Resources
Recruitment Activities & Interviews
Course Details
This is a 15-month master’s degree pathway. You will first go through a data science SCTP track consisting of 8 modules, funded up to 95% by SkillsFuture Singapore and receive a (SCTP) WSQ Diploma in Infocomm Technology (Data) (Synchronous and Asynchronous E-Learning). This will lead to 2 top-up modules required to obtain your Master in Computer Science awarded by Guglielmo Marconi University, Italy.
Course Details
This is a 15-month master’s degree pathway. You will first go through a data science SCTP track consisting of 8 modules, funded up to 95% by SkillsFuture Singapore and receive a (SCTP) WSQ Diploma in Infocomm Technology (Data) (Synchronous and Asynchronous E-Learning). This will lead to 2 top-up modules required to obtain your Master in Computer Science awarded by Guglielmo Marconi University, Italy.
Prerequisite
Minimum 21 years old with a bachelor’s degree in any field from a recognized university OR
Mature candidate of 30 years and above with 8 years of relevant work experience.
Prerequisite
Minimum 21 years old with a bachelor’s degree in any field from a recognized university OR
Mature candidate of 30 years and above with 8 years of relevant work experience.
Modules
(SCTP) WSQ Diploma in Infocomm Technology (Data)
(Synchronous and Asynchronous E-Learning).
Module Brief
The module “Data Modelling & Visualization” is designed to empower learners with the essential knowledge and skills required to thrive in the dynamic field of data analysis. Through a structured series of learning units, participants will establish a robust foundation in various facets of data analytics. The module commences with an exploration of fundamental concepts in data analytics and Power BI, enabling participants to adeptly prepare and transform data, create insightful visualizations and reports, develop data models, and proficiently format and present information using interactive dashboards.
Expanding on the expertise garnered from the learning units, participants will engage in hands-on, real-world scenarios through a comprehensive project. This project offers a unique opportunity to implement a data analytics solution employing Power BI. By leveraging Power BI, participants will gain practical experience in analyzing and interpreting data and making informed decisions based on data insights. This practical application will foster the development of the participant”s capacity to extract meaningful insights, collaborate effectively, and actively contribute to the success of businesses.
Upon successful completion of the “Data Modelling & Visualization” module, participants will emerge with a profound understanding of data analytics principles and techniques. They will possess proficiency in utilizing Power BI, equipped with the necessary skills to prepare and transform data, craft impactful visualizations and reports, develop data models, and design interactive dashboards. Furthermore, participants will be empowered to apply their acquired knowledge in practical settings, utilizing data analysis to drive informed decision-making and address intricate business challenges.
Other Information
The module “Data Modelling & Visualization” is designed to empower learners with the essential knowledge and skills required to thrive in the dynamic field of data analysis. Through a structured series of learning units, participants will establish a robust foundation in various facets of data analytics. The module commences with an exploration of fundamental concepts in data analytics and Power BI, enabling participants to adeptly prepare and transform data, create insightful visualizations and reports, develop data models, and proficiently format and present information using interactive dashboards.
Expanding on the expertise garnered from the learning units, participants will engage in hands-on, real-world scenarios through a comprehensive project. This project offers a unique opportunity to implement a data analytics solution employing Power BI. By leveraging Power BI, participants will gain practical experience in analyzing and interpreting data and making informed decisions based on data insights. This practical application will foster the development of the participant”s capacity to extract meaningful insights, collaborate effectively, and actively contribute to the success of businesses.
Upon successful completion of the “Data Modelling & Visualization” module, participants will emerge with a profound understanding of data analytics principles and techniques. They will possess proficiency in utilizing Power BI, equipped with the necessary skills to prepare and transform data, craft impactful visualizations and reports, develop data models, and design interactive dashboards. Furthermore, participants will be empowered to apply their acquired knowledge in practical settings, utilizing data analysis to drive informed decision-making and address intricate business challenges.
Other Information
- SSG Module Reference No: TGS-2024043488
- Module Validity Date: 2025-01-31
Module Brief
In the “Generative AI” module, learners will learn about different AI models and how they”re used in real life. We”ll start with the basics of these AI models, and understand how they work. We”ll also explore practical tools like ChatGPT, Copilot, and Power Virtual Agents from Microsoft. By using these tools, learners will discover how Generative AI can be applied in various ways, like research and creating content.
In this module, learners will explore the practical applications of ChatGPT and Microsoft 365 Copilot. They”ll uncover how ChatGPT is used in real life, such as in research, creating content, boosting business productivity, and assisting with customer support. Through hands-on experiences, participants will learn how to use AI tools like ChatGPT and Microsoft Copilot to craft engaging and interactive content. Furthermore, the module will equip learners with the skills to create functional ChatBots using Microsoft Power Virtual Agents and Copilot, facilitating smooth interactions with users.
By the end of this module, participants will have a solid grasp of AI models, as well as practical expertise in effectively utilizing ChatGPT, Copilot, and Microsoft Power VA for tasks like content creation, multimedia presentations, improving business productivity, and enhancing customer support.
Other Information
In the “Generative AI” module, learners will learn about different AI models and how they”re used in real life. We”ll start with the basics of these AI models, and understand how they work. We”ll also explore practical tools like ChatGPT, Copilot, and Power Virtual Agents from Microsoft. By using these tools, learners will discover how Generative AI can be applied in various ways, like research and creating content.
In this module, learners will explore the practical applications of ChatGPT and Microsoft 365 Copilot. They”ll uncover how ChatGPT is used in real life, such as in research, creating content, boosting business productivity, and assisting with customer support. Through hands-on experiences, participants will learn how to use AI tools like ChatGPT and Microsoft Copilot to craft engaging and interactive content. Furthermore, the module will equip learners with the skills to create functional ChatBots using Microsoft Power Virtual Agents and Copilot, facilitating smooth interactions with users.
By the end of this module, participants will have a solid grasp of AI models, as well as practical expertise in effectively utilizing ChatGPT, Copilot, and Microsoft Power VA for tasks like content creation, multimedia presentations, improving business productivity, and enhancing customer support.
Other Information
- SSG Module Reference No: TGS-2024043483
- Module Validity Date: 2025-01-31
Module Brief
Learners in the “Python for Data Science” module will acquire fundamental knowledge and skills in Python programming, encompassing functions, conditional statements, and data processing. They will also gain insights into the business value of Power Platform, exploring its core components and dynamic decision-making within Power Automate workflows.
Through projects, learners will develop practical competencies. They will automate workflows using Power Automate Templates, enhancing efficiency and productivity. Additionally, learners will demonstrate their ability to implement dynamic decision-making through conditional branches, facilitating adaptable workflow structures. Another project involves automated document generation and tracking of approval status, showcasing proficiency in streamlining processes and maintaining transparency.
Furthermore, learners will apply their acquired skills to implement a data model and build a model-driven approach, contributing to effective data management and analysis. Lastly, they will construct a Canvas app, demonstrating proficiency in creating user-friendly interfaces for data visualization and interaction. Overall, this module equips learners with essential Python skills and practical experience in leveraging Power Platform for data-driven decision-making and process automation.
Other Information
Learners in the “Python for Data Science” module will acquire fundamental knowledge and skills in Python programming, encompassing functions, conditional statements, and data processing. They will also gain insights into the business value of Power Platform, exploring its core components and dynamic decision-making within Power Automate workflows.
Through projects, learners will develop practical competencies. They will automate workflows using Power Automate Templates, enhancing efficiency and productivity. Additionally, learners will demonstrate their ability to implement dynamic decision-making through conditional branches, facilitating adaptable workflow structures. Another project involves automated document generation and tracking of approval status, showcasing proficiency in streamlining processes and maintaining transparency.
Furthermore, learners will apply their acquired skills to implement a data model and build a model-driven approach, contributing to effective data management and analysis. Lastly, they will construct a Canvas app, demonstrating proficiency in creating user-friendly interfaces for data visualization and interaction. Overall, this module equips learners with essential Python skills and practical experience in leveraging Power Platform for data-driven decision-making and process automation.
Other Information
- SSG Module Reference No: TGS-2024043484
- Module Validity Date: 2025-01-31
Module Brief
The “Data Science Principles” module equips learners with essential knowledge and skills crucial for navigating the data-driven landscape. Covering a spectrum of topics, including Fundamentals of Data, Artificial Intelligence, Data Pre-processing, Introduction to Machine Learning, and Automated Machine Learning, this module lays a robust foundation for aspiring data scientists.
Through hands-on projects, learners will apply theoretical concepts to real-world scenarios. The module kicks off with the Implementation of data pre-processing and data cleaning on a dataset with low code solutions, providing practical insights into managing and refining raw data. Subsequently, participants leverage the pre-processed data asset to delve into the realm of Automated Machine Learning (AutoML) for a regression task. This hands-on experience reinforces the understanding of how automation can streamline complex machine-learning processes.
The culmination involves an exploration of various machine learning algorithms within the AutoML framework, followed by a comparative study of the models generated. This project not only sharpens technical proficiency but also cultivates the ability to assess and select optimal models for different scenarios. By the module”s conclusion, learners will emerge with a comprehensive skill set encompassing data fundamentals, AI principles, pre-processing techniques, and practical experience in implementing automated machine learning solutions.
Other Information
The “Data Science Principles” module equips learners with essential knowledge and skills crucial for navigating the data-driven landscape. Covering a spectrum of topics, including Fundamentals of Data, Artificial Intelligence, Data Pre-processing, Introduction to Machine Learning, and Automated Machine Learning, this module lays a robust foundation for aspiring data scientists.
Through hands-on projects, learners will apply theoretical concepts to real-world scenarios. The module kicks off with the Implementation of data pre-processing and data cleaning on a dataset with low code solutions, providing practical insights into managing and refining raw data. Subsequently, participants leverage the pre-processed data asset to delve into the realm of Automated Machine Learning (AutoML) for a regression task. This hands-on experience reinforces the understanding of how automation can streamline complex machine-learning processes.
The culmination involves an exploration of various machine learning algorithms within the AutoML framework, followed by a comparative study of the models generated. This project not only sharpens technical proficiency but also cultivates the ability to assess and select optimal models for different scenarios. By the module”s conclusion, learners will emerge with a comprehensive skill set encompassing data fundamentals, AI principles, pre-processing techniques, and practical experience in implementing automated machine learning solutions.
Other Information
- SSG Module Reference No: TGS-2024043486
- Module Validity Date: 2025-01-31
Module Brief
The “Machine Learning Algorithms and Methods” module empowers learners with a profound understanding of key concepts and practical skills required in real-world applications. Through a structured curriculum, participants delve into Regression tasks, Classification tasks, and Clustering tasks, and harness the power of Azure AI Services for Pre-built models, culminating in a focus on Text Analysis with the Language Service.
Learners master the intricacies of Regression tasks, acquiring the ability to select and apply appropriate algorithms for predictive modelling. The module extends to Classification tasks, providing insights into classifying data into distinct categories, and delves into Clustering tasks, unravelling techniques to group data points based on inherent patterns. Additionally, participants gain proficiency in leveraging Azure AI Services for Pre-built models, enhancing their toolkit with readily available models for diverse applications. The module concludes with a deep dive into Text Analysis using the Language Service, unravelling the complexities of processing, and extracting insights from textual data.
Through hands-on projects, participants implement machine learning tasks using Azure ML Designer, facilitating a comparative analysis of algorithmic performance. The culmination involves the implementation of regression, classification and clustering using Azure ML Studio. As a result, learners emerge with a robust skill set, ready to apply machine learning principles to solve complex problems in diverse domains.
Other Information
The “Machine Learning Algorithms and Methods” module empowers learners with a profound understanding of key concepts and practical skills required in real-world applications. Through a structured curriculum, participants delve into Regression tasks, Classification tasks, and Clustering tasks, and harness the power of Azure AI Services for Pre-built models, culminating in a focus on Text Analysis with the Language Service.
Learners master the intricacies of Regression tasks, acquiring the ability to select and apply appropriate algorithms for predictive modelling. The module extends to Classification tasks, providing insights into classifying data into distinct categories, and delves into Clustering tasks, unravelling techniques to group data points based on inherent patterns. Additionally, participants gain proficiency in leveraging Azure AI Services for Pre-built models, enhancing their toolkit with readily available models for diverse applications. The module concludes with a deep dive into Text Analysis using the Language Service, unravelling the complexities of processing, and extracting insights from textual data.
Through hands-on projects, participants implement machine learning tasks using Azure ML Designer, facilitating a comparative analysis of algorithmic performance. The culmination involves the implementation of regression, classification and clustering using Azure ML Studio. As a result, learners emerge with a robust skill set, ready to apply machine learning principles to solve complex problems in diverse domains.
Other Information
- SSG Module Reference No: TGS-2024043485
- Module Validity Date: 2025-01-31
Module Brief
The “Deep Learning” module provides learners with a comprehensive understanding of key concepts and skills in the realm of deep learning. Covering crucial learning units including Introduction to Computer Vision, Face Recognition and Optical Character Recognition, Image Classification, Introduction to Natural Language Processing, and Conversational Language Understanding, this module offers a robust foundation for those seeking to apply deep learning techniques in practical scenarios.
Through hands-on projects, participants will translate theoretical knowledge into tangible skills. The module commences with the implementation of Optical Character Recognition using the Azure AI Vision portal, allowing learners to gain practical insights into extracting and processing text from images. Subsequently, participants delve into the realm of text analysis using the Azure Language portal, showcasing the application of deep learning in extracting meaningful information from textual data.
By the conclusion of the module, learners will have honed their abilities in computer vision, image classification, and natural language processing. The practical projects not only reinforce technical skills but also instil a proficiency in leveraging deep learning tools for real-world applications, empowering participants to engage in face recognition, text extraction, and analysis tasks using state-of-the-art technologies.
Other Information
The “Deep Learning” module provides learners with a comprehensive understanding of key concepts and skills in the realm of deep learning. Covering crucial learning units including Introduction to Computer Vision, Face Recognition and Optical Character Recognition, Image Classification, Introduction to Natural Language Processing, and Conversational Language Understanding, this module offers a robust foundation for those seeking to apply deep learning techniques in practical scenarios.
Through hands-on projects, participants will translate theoretical knowledge into tangible skills. The module commences with the implementation of Optical Character Recognition using the Azure AI Vision portal, allowing learners to gain practical insights into extracting and processing text from images. Subsequently, participants delve into the realm of text analysis using the Azure Language portal, showcasing the application of deep learning in extracting meaningful information from textual data.
By the conclusion of the module, learners will have honed their abilities in computer vision, image classification, and natural language processing. The practical projects not only reinforce technical skills but also instil a proficiency in leveraging deep learning tools for real-world applications, empowering participants to engage in face recognition, text extraction, and analysis tasks using state-of-the-art technologies.
Other Information
- SSG Module Reference No: TGS-2024043482
- Module Validity Date:2025-01-31
Module Brief
The Agile Management course offers a transformative experience, equipping businesses with essential skills and tools to thrive in today’s dynamic environment. Participants gain proficiency in Agile principles, fostering adaptability, collaboration, and continuous improvement. Comprehensive Instructional Units shape agile leaders capable of navigating complexity, employing Scrum methodology, leading teams, and delivering value-driven outcomes. The Agile Management Capstone provides a framework for implementing agility in Business-as-Usual activities, ensuring efficient and customer-centric delivery while reducing risk.
Beginning with “Adapt to Complexity using Empiricism and Scrum,” participants delve into core Agile Management principles, mastering complexity and Scrum. Subsequent units cover leadership, organizational agility, growth strategies, metrics, and creating an agile culture. Participants learn to create efficient workspaces, facilitate Scrum events, and plan releases predictably. “Build Effective Scrum Teams & Prioritize Valuable Business Outcomes” focuses on team dynamics and product backlog management.
“Conduct Effective Scrum Events for High Performing Teams” refines skills in sprint planning and daily scrum ceremonies. The core units conclude with “Implement Continuous Growth and Development,” exploring the learning loop concept within the broader Agile ecosystem.
Completing the course, participants emerge as Agile Management champions, adept at navigating business complexities, optimizing outcomes, and propelling organizations toward sustainable success in an agile world.
Other Information
The Agile Management course offers a transformative experience, equipping businesses with essential skills and tools to thrive in today’s dynamic environment. Participants gain proficiency in Agile principles, fostering adaptability, collaboration, and continuous improvement. Comprehensive Instructional Units shape agile leaders capable of navigating complexity, employing Scrum methodology, leading teams, and delivering value-driven outcomes. The Agile Management Capstone provides a framework for implementing agility in Business-as-Usual activities, ensuring efficient and customer-centric delivery while reducing risk.
Beginning with “Adapt to Complexity using Empiricism and Scrum,” participants delve into core Agile Management principles, mastering complexity and Scrum. Subsequent units cover leadership, organizational agility, growth strategies, metrics, and creating an agile culture. Participants learn to create efficient workspaces, facilitate Scrum events, and plan releases predictably. “Build Effective Scrum Teams & Prioritize Valuable Business Outcomes” focuses on team dynamics and product backlog management.
“Conduct Effective Scrum Events for High Performing Teams” refines skills in sprint planning and daily scrum ceremonies. The core units conclude with “Implement Continuous Growth and Development,” exploring the learning loop concept within the broader Agile ecosystem.
Completing the course, participants emerge as Agile Management champions, adept at navigating business complexities, optimizing outcomes, and propelling organizations toward sustainable success in an agile world.
Other Information
- SSG Module Reference No: TGS-2024043439
- Module Validity Date: 2025-01-31
Module Brief
The ” Data Science Modelling Project” module serves as a pivotal opportunity for students enrolled in the “Professional Diploma in Data Science ” to apply the knowledge and skills acquired in preceding course modules. The Capstone Project module extends this foundation, enabling students to refine their practical skills by engaging in real-world projects and addressing industry challenges.
This module immerses learners in the day-to-day operations of live industry projects, allowing them to apply technical skills in data analysis, machine learning model development, and the utilization of deep learning techniques. Through hands-on experience with industry-standard tools, collaboration with professionals, and project management, students gain a comprehensive understanding of the data science lifecycle. The practical experience obtained not only enhances technical proficiency but also cultivates critical thinking, problem-solving, and communication skills within a professional context.
Ultimately, the Data Science Modelling Project module positions students as well-rounded data science and AI professionals, providing a competitive edge in the job market. Bridging the gap between theory and practice, learners showcase their ability to solve real-world problems and deliver tangible results. The acquired hands-on experience establishes a robust foundation for future careers, enabling graduates to contribute effectively to the industry and make a positive impact in the dynamic field of data science and AI.
Other Information
The ” Data Science Modelling Project” module serves as a pivotal opportunity for students enrolled in the “Professional Diploma in Data Science ” to apply the knowledge and skills acquired in preceding course modules. The Capstone Project module extends this foundation, enabling students to refine their practical skills by engaging in real-world projects and addressing industry challenges.
This module immerses learners in the day-to-day operations of live industry projects, allowing them to apply technical skills in data analysis, machine learning model development, and the utilization of deep learning techniques. Through hands-on experience with industry-standard tools, collaboration with professionals, and project management, students gain a comprehensive understanding of the data science lifecycle. The practical experience obtained not only enhances technical proficiency but also cultivates critical thinking, problem-solving, and communication skills within a professional context.
Ultimately, the Data Science Modelling Project module positions students as well-rounded data science and AI professionals, providing a competitive edge in the job market. Bridging the gap between theory and practice, learners showcase their ability to solve real-world problems and deliver tangible results. The acquired hands-on experience establishes a robust foundation for future careers, enabling graduates to contribute effectively to the industry and make a positive impact in the dynamic field of data science and AI.
Other Information
- SSG Module Reference No: TGS-2024043479
- Module Validity Date:2025-01-31
Master’s Degree Top-up Modules
This module provides learners with expertise in systems security, cryptography, and web security. They will learn to secure computer systems, employ encryption for secure communication, implement authentication methods, and identify vulnerabilities in web-based applications. Learners also gain proficiency in block cipher algorithms for advanced data encryption. The purpose of this module is to prepare learners for roles in cybersecurity, emphasising the protection of digital assets and the maintenance of reliable system operations.
This project module involves learners actively applying the concepts that they have learned throughout their master’s programme to a real business case. It serves as an opportunity to assess their analytical, organizational, decision-making, relational, and operational skills. A tutor will evaluate the project based on criteria such as the relevance and originality of the topic, the quality of data collection and analysis, the effectiveness of analytical tools used, the practicality of proposed solutions, the application of knowledge acquired during the master’s, and the student’s commitment and rigour. The final exam includes a discussion of the project, where the assessor considers the preliminary evaluation and assesses the overall quality of the work, presentation skills, and the student’s reasoning.
Course fee and funding breakdown
For a full detailed course fee breakdown of the SCTP course and any applicable WSQ modules, please visit the respective product pages:
Guglielmo Marconi University
Guglielmo Marconi University, often abbreviated as UniMarconi, was founded and recognized by the Italian Ministry of Education in 2004. It was the first university to seize the opportunity of the ongoing digital revolution and the progressive dematerialization of teaching forms and methods, and developed, in over 15 years of activities, a series of cutting-edge training technologies and tools.
Today UniMarconi is chosen by over 80,000 students and considered among the best institutions for e-learning, for its overall learning level, for its relationship with the professional and labour market as well as the international benchmark for research and scientific cooperation agreements.
To find out more about the university, please visit https://www.unimarconi.com/ Or Download the brochure here
Guglielmo Marconi University
Guglielmo Marconi University, often abbreviated as UniMarconi, was founded and recognized by the Italian Ministry of Education in 2004. It was the first university to seize the opportunity of the ongoing digital revolution and the progressive dematerialization of teaching forms and methods, and developed, in over 15 years of activities, a series of cutting-edge training technologies and tools.
Today UniMarconi is chosen by over 80,000 students and considered among the best institutions for e-learning, for its overall learning level, for its relationship with the professional and labour market as well as the international benchmark for research and scientific cooperation agreements.
To find out more about the university, please visit https://www.unimarconi.com/ Or Download the brochure here
About Lithan
Accredited by the Singapore government as a CET Centre (Continuing Education and Training)
Edutrust certified by Committee for Private Education (CPE)
Internationally accredited by Pearson UK and Scottish Qualifications Authority (SQA)
Edutrust certified by Committee for Private Education (CPE)
Internationally accredited by Pearson UK and Scottish Qualifications Authority (SQA)
About Lithan
Accredited by the Singapore government as a CET Centre (Continuing Education and Training)
Edutrust certified by Committee for Private Education (CPE)
Internationally accredited by Pearson UK and Scottish Qualifications Authority (SQA)
Awards and Accreditations
Microsoft Global Learning Partner of the Year Award (Finalist)
Pearson’s BTEC College of the Year 2019 Award for Asia
Dun&bradstreet’s Business Eminence Award 2020
Flame Innovation Award 2019 by SkillsFuture Singapore
APAC CIO Outlook’s Top 10 Provider of Education Tech Solution
What They Say About Us
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