About Course
As organisations increasingly rely on data-driven insights to enhance decision-making and gain a competitive edge, the demand for skilled analysts to interpret and apply these insights remains high.
Despite the growing need for data expertise, there is a skills gap to find qualified data professionals such as data analysts and Business Intelligence (BI) specialists. As a result, there is a focus on equipping employees with data analytics skills for both career growth and organisational success.
This programme provides learners with key skills to extract actionable insights from large datasets, covering statistical analysis, data mining, and database management. It includes training in data visualisation techniques and emphasises critical thinking and problem-solving to identify patterns and trends.
Learners will gain hands-on experience with industry-standard tools like SQL, Python, Tableau, and Power BI for data cleaning, transformation, and analysis. Real-world case studies and projects will allow them to apply their knowledge to business challenges. It will also cover business intelligence concepts, showing how data-driven insights can enhance strategic decision-making and organisational performance.
Learners will put their skills into practice with a Capstone Project, which aims to cultivate data-literate professionals adept at driving business growth and innovation. The programme prepares them to tackle business problems, develop data-driven solutions, and effectively communicate their findings. This comprehensive training equips them for successful careers across industries such as finance, marketing, healthcare, and e-commerce.
Skills you’ll gain
Data Science and Analytics
Business Management
Career Growth and Transition
Who Should Attend
Market research professionals
Technical professionals
Engineers
Individuals with STEM-related work experience looking to pivot into a career in data analytics for roles such as: Data analyst, Market data researcher/analyst, Data specialist/engineer
Prerequisites
Individuals should possess a relevant background, which may include:
- A minimum of a STEM-related diploma; or
- Completion of a STEM-related BootCamp programme within the past three years; or
- Relevant work experience in the Infocomm sector or related job roles; or
- Prior or current work experience in a STEM-related field.
Learning Outcomes
Module 1: Data Fundamentals, Database Management (SQL), Data Wrangling and Cleaning (OpenRefine, Trifacta Wrangler)
- Differentiate important data concepts including between data, information, and knowledge, and identify the various types of data and data quality issues
- Explain the fundamentals of relational databases and the importance of database normalisation
- Use SQL syntax query to manipulate and manage data within databases effectively
- Utilise tools such as OpenRefine and Trifacta Wrangler for cleaning, transforming, and enriching data
Module 2: Python for Data Analysis
- Develop a comprehensive understanding of Python syntax including data types, control flow, and functions
- Produce well-structured, maintainable Python code
- Master numerical computations and array operations using the NumPy library
Module 3: Statistics and Data Visualisation with libraries like Matplotlib and Seaborn
- Grasp fundamental statistical concepts such as descriptive statistics, probability distributions, hypothesis testing, and regression analysis
- Apply appropriate statistical techniques to data analysis
- Create effective visualisations, tailored to specific audiences using Matplotlib and Seaborn
- Communicate data insights through effective storytelling
Module 4: Machine Learning
- Define machine learning and its various applications, including supervised, unsupervised, and reinforcement learning
- Build and evaluate predictive models using algorithms such as linear regression, decision trees, and neural networks, addressing business problems like customer churn and fraud detection
- Implement data preprocessing, feature engineering, and hyperparameter tuning to optimise model performance
- Leverage machine learning within data analytics and business intelligence workflows, while considering ethical implications and decision-making processes
Module 5: Business Intelligence Concepts and Tools
- Explain the fundamental components of Business Intelligence (BI) and define its role in organisations
- Apply popular BI tools, such as Power BI and Qlik, to extract, transform, and load (ETL) data, solving real-world business challenges
- Evaluate how BI techniques support data-driven decision-making and enhance organisational performance
- Assess the effectiveness of BI implementations and their contribution to overall business performance
Module 6: Capstone Project on Data Analytics and Business Intelligence Programme
- Synthesise and apply data mining, statistical analysis, machine learning, and data visualisation methods to solve complex business problems encountered in the Capstone Project
- Perform the entire data analysis process, including data acquisition, cleaning, exploration, modelling, visualisation, and utilising skills acquired in the previous five modules
- Develop interactive dashboards and reports using business intelligence tools, effectively communicating insights to stakeholders
- Identify and address data-related challenges, and present findings to varied audiences, including business executives, technical teams, and potential employers
Teaching Team
Vinol Joy D’Souza
Head of Data, Aspire
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Ilia Tivin
Managing Director, Locked Jar
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Course Details
Schedule
| Course Run | Dates | Topics and Delivery |
|---|---|---|
| June 2025 | 16 Jun – 18 Oct 2025 | Facilitated classroom training Classes are held once a week from 9:00 am – 1:00 pm over four+ months |
| Synchronous e-Learning Classes are held online once a week from 6:00 pm – 9:00 pm over four+ months | ||
| In-person assessment (MCQ test) Five tests over four+ months | ||
| Assignments and project works, self-learning | ||
| Asynchronous e-Learning with research and reading materials | ||
| Capstone project, self-learning with project consultation and final project presentation |
Certificate and Assessment
A Certificate of Attainment will be issued to participants who:
- Attend at least 75% of the course
- Undertake and pass non-credit bearing assessment during the course
Participants who meet the attendance requirement but do not pass the assessment will receive a Certificate of Participation.
Fee Structure
SkillsFuture Course Fees Funding
| Funding Category | Eligible Funding | Course Fees Payable After Funding |
|---|---|---|
| Singapore Citizen (Below 40) | 70% | S$4,905.00 |
| Singapore Citizen (Above 40) Funded under SkillsFuture Mid-Career Enhanced Subsidy (MCES) | 90% | S$1,905.00 |
| Singapore Citizen who meets the additional course fee funding support criteria* | 95% | S$1,155.00 |
| Singapore PR / LTVP+ Holder | 70% | S$4,905.00 |
| Non-Singapore Citizen | Not Eligible | S$16,350.00 |
Note:
- All fees above include GST. GST applies to individuals and Singapore-registered companies.
Additional Course Fee Funding Support Criteria
To be eligible for 95% additional course fee funding support, applicants must be a Singapore Citizen and meet one of the following criteria:
- Long-term unemployed individual (unemployed for six months or more); or
- Person with disabilities; or Individual in need of financial assistance – ComCare Short-to-Medium Term Assistance (SMTA) recipient or
- Workfare Income Supplement (WIS) recipient. Additionally, they should not have received any other funding from government sources in respect of the actual grant disbursed for the programme.
SkillsFuture Credit
Learners may also use their SkillsFuture Credit and Additional SkillsFuture Credit (Mid-Career Support) to further offset out-of-pocket course fees.
SkillsFuture Mid-Career Training Allowance
Singapore Citizens, aged 40 and above, are eligible for Training Allowance amount of 50% of your average income over the latest available 12-month period, capped at $3,000 per month. Use the calculator to tabulate your Training Allowance.
Frequently Asked Questions
SCTP at SITLEARN
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Who is eligible for SCTP?
The SCTP is open to all Singapore Citizens and Permanent Residents, particularly mid-career individuals looking to transition to new sectors or job roles. Both employed and unemployed individuals are eligible.
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What is the duration of a SCTP at SITLEARN?
The duration of a SCTP at SITLEARN typically ranges from four to six months, depending on the specific programme and its requirements.
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Will the programme lead to job placements for me?
While our SCTP provides career advisory and employment facilitation services to help you in your job search, it does not guarantee job placements. You are encouraged to be proactive and open to job opportunities available.
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Will I need to have certain minimum academic qualifications to sign up for the SCTP?
Minimum academic qualifications may be required for some SCTPs. You will be assessed by our SITLEARN admission and review committee on your suitability for our programme prior to enrolment.
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Can I take up another course under the SCTP if I have not managed to find a job after completing a course?
Yes, you can take up another SCTP if you have not managed to find a job after completing a course. However, your suitability for the new course will be assessed by SITLEARN admission and review committee.
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Do I need to pay the full amount of course fees first then receive SkillsFuture Funding after?
No, you do not need to pay the full amount of course fees upfront. Different tier of SkillsFuture Funding is applied directly to the course fees, reducing the amount you need to pay out-of-pocket.
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Can I use my SkillsFuture Credit and additional SkillsFuture Credit (Mid-Career Support) to offset the out-of-pocket course fees payable?
Yes, you can use your SkillsFuture Credit and additional SkillsFuture Credit (Mid-Career Support) to offset the out-of-pocket course fees payable for SCTP.
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Can I attend 2 SCTP programmes concurrently?
No. You cannot enrol in two SCTP programmes at the same time, whether full-time or part-time, if they overlap. You must complete one SCTP before starting another.
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Can I re-attend the same SCTP programme that I have completed previously?
No. You cannot re-attend the same SCTP programme you have completed previously.
SkillsFuture Course Funding Support
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How do I know if I qualify for SkillsFuture Course Fees Funding Support?
Singapore Citizens, Permanent Residents and LTVP+ holders are eligible for SkillsFuture Course Fees Funding Support on SkillsFuture supported courses.
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If I fail the programme or drop out, what will happen to the funding I’ve received?
If you fail the programme or drop out without a valid reason, you may be required to refund the course fee subsidy you received. Trainees are encouraged to complete all modules and pass the assessments to fully benefit from the programme and retain the funding support.
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What if I turn 40 years old in the middle of the programme?
If you turn 40 years old during the programme, you will become eligible for the Mid-Career Enhanced Subsidy from the month you turn 40. This subsidy can cover up to 90% of programme fees.
SkillsFuture Mid-Career Training Allowance (TA)
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Who is eligible for SkillsFuture Mid-Career Training Allowance?
Singapore Citizens aged 40 years old and above are eligible for SkillsFuture Mid-Career Training Allowance when they enrol into full-time TA Elgiible SCTPs.
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When do I apply for SkillsFuture Mid-Career Training Allowance?
You can submit your Training Allowance application up to three (3) months before the programme start date.
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Can I be employed and still be eligible for the SkillsFuture Mid-Career Training Allowance when enrolling into a full-time SCTP?
You can be employed and still apply for the Training Allowance for an eligible full-time training programme. Individuals must meet the full-time training intensity and programme requirements each month in order to receive the monthly payout.
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How do I know how many months of SkillsFuture Mid-Career Training Allowance payout I will receive for the application?
The maximum eligible period in the application refers to the maximum number of months you can receive for the Training Allowance. The actual number of months you will receive for the Training Allowance depends on the actual course duration and fulfilment of the training requirements each month.
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How is my monthly TA computed?
It is computed based on the latest available 12 months of income data from Government records (E.g CPF Board, IRAS) as of course start date.
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What if my course has been deferred or cancelled?
Your TA application will be cancelled, and you will need to re-submit a TA application where your SCTP enrolment will be treated as a new SCTP enrolment.
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What are the programme requirements I need to fulfil in order to receive the monthly training allowances?
You will need to fulfil a minimum of 75% attendance of trainer led sessions for each of the training month of the programme.
Speak to Our Career Coach
Meet Joe Leong: Your Career Coach
Joe Leong is a dedicated and experienced career coach specialising in helping mid-career professionals navigate their career transitions and up-level their skills. With a strong background in career development and a passion for empowering individuals, Joe has successfully guided numerous professionals towards achieving their career goals.
For Organisations
Interested in this course for your business or team?
Tailored to your organisation's specific training needs, we can help you design and develop custom courses to grow key talent and build specialist expertise to meet the future demands of work.
About SITLEARN
SITLEARN is the lifelong learning division of the Singapore Institute of Technology, Singapore's first University of Applied Learning. SITLEARN is dedicated to providing high-quality, industry-relevant training and education to professionals and mid-career individuals. Through its innovative Applied Learning approach, SITLEARN equips learners with practical skills and knowledge that are directly applicable in the workplace, helping them stay competitive in the evolving job market.
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