Data Science CI
Go for a Data Analyst Role after 5 Months
Suitable for business professionals.
Up to 95% funding & job placement available after 5 Months
Why pursue a career in Data Analytics?​​
Data Analytics is becoming an essential skill in today’s digital economy. As organisations increasingly rely on data to make informed business decisions, professionals who can collect, analyse, and interpret data are in high demand across industries such as finance, healthcare, technology, logistics, and retail. MOM’s latest labour market reports highlight continued strong demand for technology and data-related professionals, driven by digital transformation and AI adoption.
With opportunities across diverse sectors and growing reliance on data-driven insights, Data Analytics offers a future-ready career with strong job prospects and long-term growth potential.
*The Straits Times
Future-ready your career as a Data Science Specialist to achieve growth in the digital economy
Pay & prospect of a
Data Science Specialist
Data Science Associate
($2,800 to $3,000)​
2-5 years
Data Scientist
($6,000 to $9,500)​
>8 years
Principal Data Scientist
(>$12,000)​
Source: Derived from PayScale, Glassdoor, and prevailing employment market rates
Job scope of a Data Science Specialist
You are responsible for using programming languages like Python to extract, transform, and load data for analysis and modelling. You will also be well versed in AI development, building and training machine-learning tools to solve specific business problems, develop predictive models to forecast future trends and apply statistical analysis to validate hypotheses.
You are also a data visualisation expert who can use data visualisation tools and techniques to communicate insights effectively. Your work of analysing and interpreting data will enable business decisions to have a higher probability rate of success.
Course Overview
Our Professional Diploma in Data Science is a train-and-place programme designed to help individuals transition into careers in data analytics. This programme equips learners with industry-relevant skills in data analytics, machine learning, artificial intelligence, and business intelligence. Through a hands-on learning approach, learners gain practical experience in analysing data, building predictive models, and applying AI-driven solutions to real-world business challenges across sectors such as finance, healthcare, technology, and retail.
The programme covers key areas including Data Modelling & Visualisation, Generative AI, Python for Data Science, Machine Learning Algorithms and Methods, Deep Learning, and Agile Project Management. Learners will also complete a Data Science Modelling Project that integrates project planning, data preparation, model evaluation, and practical implementation, preparing them for roles such as Data Scientist, Data Analyst, Machine Learning Engineer, and Business Intelligence Professional.
Key Learning Outcomes
Apply Data Analytics fundamentals using Power BI for data transformation, modelling, reporting, and dashboard creation
Utilise Generative AI Models & Tools and implement prompt engineering techniques for productivity and automation
Develop Python programming skills for data processing, conditional statements, functions, and analytics workflowsÂ
Understand core Data Science Principles including AI, machine learning, and data-driven decision-makingÂ
Build and evaluate machine learning models using regression, classification, clustering, and Azure AI ServicesÂ
Execute end-to-end Data Science Modelling Projects involving project planning, data preparation, model evaluation, and comparison
Master these tech tools
Your Professional Diploma in Data Science is also a pathway to a Master in Computer Science. This is an 11-month pathway* that prepares you to move towards a management position.
Professional Diploma in Data Science
5 Months Digital Skilling and Commencement of Job Placement Assistance
* Total pathway duration is subject to programme schedules and depends on diploma completion and degree intake dates. The overall duration may be extended due to academic calendar gaps between programmes.Â
Only the Professional Diploma (which is an SCTP course) and the bridging modules are eligible for up to 95% funding support, including SkillsFuture Credit and PSEA. To provide high affordability for our learners, the master’s degree top-up modules are priced at just $2,000 (excluding GST and Fee Protection Scheme).
For Singaporeans aged 40 and above, the SkillsFuture Mid-Career Training Allowance — up to $3,000 per month — is available for the full-time version of our SCTP courses. For more information about the training allowance, please visit: SSG | SkillsFuture Mid-Career Training Allowance
Personalised, work-integrated & outcome-based learning journey to enable you to perform from day one of your new career
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 personalised learning journey to create work-study-life balance and learning efficiency.
We deliver blended learning involving self-paced e-learning, live flipped classes, and project mentoring for a personalised learning journey to create work-study-life balance and learning efficiency.
Job Placement Assistance
More than 10 years of proven track record. Database of over 2,000 employers. More than 100 active hirers at any point in time.  
Career Builder Workshop
Get resume-building skills, interview coaching, and industry insights to prepare yourself for the interviews ahead. Â
1-to-1 Career Coaching Â
Receive personalised coaching to perfect your interview techniques and to plan and align your career aspirations with upcoming job opportunities.
Review of Career Development Resources
Curate job search and interview resources to ensure readiness before the commencement of job-seeking activities
Recruitment Activities and Interviews
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.
Get employed by our hiring partners
Our Learners' Reviews
Real Stories. Real Struggles. Real Success.
by Lithan Academy
Welcome to our Learner Success Stories playlist — a collection of inspiring journeys from….more
Frequently Asked Question
Yes, our training programmes are mapped onto the Skills Framework (SFw). This is a national framework that companies are using to develop human resource capabilities that include the development of job profiles, recruitment and interview checklists among many others.
Our job placement assistance backed by more than 10 years of track record has helped an average of over 500 locals to transit to high-growth digital jobs each year, but we do not guarantee any job placement. We provide assistance that improves your chances of securing your desired digital job.
We have worked with thousands of hiring companies over the past decade and at any point in time should have more than 100 active hiring companies which consist of both SMEs & MNCs across multiple sectors.
Some of our employers preferred younger candidates and we also have employers who preferred mature ones. These employers recognised that mature candidates would cherish employment opportunities more than the younger ones and be more responsible and reliable at work.
Exemption will be on a case-by-case basis but largely for learners who already have the same certifications residing within our programmes.
Our intakes vary throughout the year. with us to get the details for the latest upcoming intakes.
The timing of the part-time training sessions is 7pm to 10pm, around 2 to 3 sessions per week. Please take note that there are self-learning components outside the training sessions which need an additional commitment of hours per week.
Hardware: Intel i5 or equivalent, 8 GB RAM, 500GB HDD. Operating System: Microsoft Windows 7. Application: Microsoft Office 2010, Google Chrome and Internet Explorer. Newer version of the above specifications is highly recommended.