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Data Science Professional Bootcamp

Data Science Professional

SkillsFuture Career Transition Programme (SCTP)

This intensive data science course covers analysis, big data, machine learning, and visualisation, with career support.

Course Information

Duration

Full Time: 3 months

Part Time: 6 months

Class Frequency

3 days/week part-time

Subsidies

SkillsFuture (up to 70%)

SCTP (up to 90%)

Course Fees

From $863 with subsidies 

Training Partner

BellsTech

Upcoming Schedule

Data Science Professional Bootcamp

Data Science Professional Bootcamp

Part-time

6 months
3 hours, 3 days a week

Start Date

17 February 2024

Course Fees

From $862.10

3 days/week alternating

Course Overview

The SCTP – Data Science Professional course is a meticulously structured programme, striving to impart crucial knowledge and skills in data science. The curriculum includes modules on Data Science Principles, Probabilities and Statistics, Data Exploration and Cleaning, Programming with Python, Big Data Management, Machine Learning, Data Visualisation & Storytelling, Problem Solving, and Communication Skills for IT Professionals. With a blend of theoretical and practical learning across varied durations for full-time and part-time options, it aims to foster proficient data scientists ready to navigate the burgeoning data industry.

Data Science Student
  • Industry Demand: With an upward trajectory in Singapore's data industry, data scientists are immensely sought after.

  • Lucrative Career: Enticing salary prospects with annual earnings for data scientists potentially reaching S$200,000.

  • Career Transition and Enhancement: Ideal for individuals seeking a shift towards data science or enhancing their existing career path.

  • Robust Skill Development: Acquire vital, industry-relevant data science skills through a comprehensive curriculum.

  • Structured Career Support: Avail of individualised career coaching and placement opportunities upon completion.

Why Enroll in the Course?

Course Details

Course Outcomes

Upon concluding the course, participants are expected to:

  1. Demonstrate a Solid Understanding of core data science concepts and applications.

  2. Apply Analytical Tools such as Python and its libraries proficiently in data analysis and visualisation.

  3. Handle Big Data using technologies like Hadoop and Spark.

  4. Develop and Implement machine learning models for real-world applications.

  5. Exhibit Proficiency in creating compelling data visualisations using D3.js and Tableau.

  6. Communicate Effectively and solve IT-related issues with enhanced problem-solving and communication skills.

Job Opportunities

Graduates can explore diverse roles within the data science spectrum including:

  • Data Scientist

  • Data Analyst

  • Machine Learning Engineer

  • Data Engineer

  • Business Intelligence Analyst

  • Data Visualization Specialist

Additional Notes

  • Eligibility: The course is open to Singapore Citizens, Permanent Residents, and LTVP+ Holders aged 21 and above, with a minimum educational qualification of 3 GCE ‘O’ Level Passes, including English, or its equivalent.

  • Assessment Method: Participants will be evaluated through a mix of questionnaires, projects, and portfolio creation.

  • Training Methodology: A blend of instructor-led classroom training and practical exercises, facilitated by experienced trainers, ensures a holistic learning experience.

  • The Good Class Advantage: By choosing BellsTech, participants benefit from the institute’s solid track record, industry-validated courseware, and the expertise of seasoned trainers.

Live, instructor-led, face-to-face training

Direct interaction enhances understanding, promotes engagement, and allows immediate feedback.

Industry-validated courseware

Ensures relevance, aligns with current industry standards, and boosts job readiness.

Coaching by Experienced Trainers

Experienced trainers offer real-world insights, updated knowledge, and valuable industry connections.

Continuous, extensive learning support

Learning support guides learners towards securing jobs and forging successful careers.

subsidies

Course subsidies

SkillsFuture Funding
(Baseline)

Up to 70% subsidy

✅  Singapore Citizen

✅  21–39 years old

You pay $3,774.60

Fee Breakdown: 

 $11,650.00 Full course fee
 -$8,155.00 70% subsidy

  $3,495.00 Nett fee

    +279.60 GST*

  $3,774.60 Total fee payable

SkillsFuture Mid-Career Enhanced Subsidy (MCES)
Up to 90% subsidy

✅  Singapore Citizen

✅  40 years old and above

You pay $1,444.60

Fee Breakdown: 

 $11,650.00 Full course fee

-$10,485.00 90% subsidy

  $1,165.00 Nett fee

    +279.60 GST*

  $1,444.60 Total fee payable

Additional Funding Support (AFS)
Up to 95% subsidy

✅  Singapore Citizen

✅  Meets AFS criteria 

You pay $862.10

Fee Breakdown: 

 $11,650.00 Full course fee
-$11,067.50 95% subsidy

    $582.50 Nett fee

    +279.60 GST*

    $862.10 Total fee payable

Offset payable fees with your credits

  • Eligible Singapore Citizens can use their SkillsFuture Credit or PSEA (Post Secondary Education Account) funds to offset course fee payable after funding.

  • Eligible NTUC – UTAP funding for NTUC members

* GST payable for all funding-eligible applicants is calculated based on the prevailing GST rate after the baseline funding subsidy of 70%.

SkillsFuture funding eligibility criteria:

  • Singapore Citizens, Singapore Permanent Residents, or LTVP+ holder

  • Trainee must achieve at least 75% attendance.

  • Trainee must pass all prescribed tests/assessments and attain 100% competency.

  • The college reserves the right to claw back the funded amount from the trainee if he/she does not meet the eligibility criteria.

Additional Funding Support (AFS)

Singapore Citizens who meet at least one of the following eligibility criteria can enjoy up to 95% course fee subsidies:

  • Long-term unemployed individuals (unemployed for six months or more)

  • Individuals in need of financial assistance – ComCare Short-to-Medium Term Assistance (SMTA) recipients or workfare Income Supplement (WIS) recipients

  • Persons with Disabilities

Our Instructors
Sam Tan

Industry Trainer

  • What are the prerequisites to join this course?
    Applicants should be Singapore Citizens, permanent residents, or LTVP+ Holders aged 21 and above, with a positive attitude towards completing the programme and seeking employment in the related field.
  • What is the course duration?
    Full-time learners will complete in 3 months, while part-time learners will complete in 6 months.
  • Where will the training sessions be held?
    Training will take place at the training centre at International Plaza, Singapore.
  • Do you provide any career support post-training?
    Yes, you will have an opportunity to access our career coach to assist with personal branding, interview skills, CV crafting, and placement opportunities.
  • What is the teaching methodology adopted in this course?
    The course includes live, instructor-led, face-to-face classroom sessions facilitated by experienced trainers. Assessments involve questionnaires, projects, and portfolio building.
  • How does this course stand out from other Data Science courses?
    We pride ourselves on industry-validated courseware, experienced trainers, continuous learning support, and a solid track record in data science training.
  • Will I have any practical experience during the course?
    Absolutely. The course involves hands-on learning, group exercises, and real-world scenarios to ensure practical application of knowledge.
  • What are the job opportunities after completing this course?
    Data Science is in demand in Singapore. Graduates can explore roles as Data Scientists, Data Analysts, Machine Learning Engineers, and more. With the skills gained, you'll be well-positioned for these in-demand roles.
  • Do I need prior experience in IT or Data Science to enrol?
    While a background can be beneficial, it's not mandatory. Our course is structured to accommodate both beginners and those with some prior knowledge.
  • What is the typical class size for this course?
    10-20 pax
  • What hardware do I need?
    CPU: Minimum 2-4 cores. RAM: Minimum 4GB Disk: At least 50GB for system operations
  • What software do I need?
    Operating system: Ubuntu Linux 16.04 LTS or later / Windows / MAC OS Node.js: Version 8 or higher
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