Diploma in Computing (Data Analytics)

Future Careers

Your Future in Singapore’s Data Economy

Organisations across Singapore rely on data to understand customers, improve services, manage risk and make more informed decisions.

This programme introduces the computing, statistical and analytical capabilities that can support your progression towards roles involving data preparation, reporting, visualisation and business analysis.

Whether you want to examine business performance, create dashboards, identify patterns or help organisations use information more effectively, this diploma provides a practical entry point into data analytics.

Data Analyst
Business Intelligence Analyst
Data Scientist
Data Engineer
Product Analytics Specialist
AI and Predictive Analytics Specialist

Why This Programme Matters

Gain essential information technology, data science and analytics knowledge.
Develop practical capabilities relevant to entry-level data roles.
Understand how data is gathered, cleaned, processed and transformed.
Analyse and interpret information using an ethically responsible approach.
Apply appropriate analytical models to different problems.
Evaluate the quality and suitability of data inputs.
Extract useful meaning from analytical outcomes.
Use programming, algorithms, mathematics and statistics in data analysis.
Explore data storage, cloud-supported infrastructure and NoSQL databases.
Communicate analytical findings clearly to different audiences.
Strengthen teamwork and interpersonal capabilities.
Develop awareness of social and ethical responsibilities.
Prepare for lifelong learning and continued career development.

Data becomes valuable when it can be transformed into information that people can understand and act upon.

The Diploma in Computing (Data Analytics) introduces you to the methods, technologies and analytical approaches used to process and interpret organisational data. You will explore computer platforms, programming, mathematics, data science, MongoDB, data analysis and visualisation.

Through practical work with Python, pandas, scikit-learn and real-world datasets, you will learn how to prepare information, investigate patterns, create visual representations and develop introductory predictive models.

Diploma in Computing Data Analytics learning experience

Programme Structure

Platform Technology
Programming Fundamentals
Mathematics for IT
Introduction to Data Science
Big Data & MongoDB
Data Analysis & Visualisation
Capstone Project – Data Analytics

AI-Native Learning Experience

Preparing you for a data environment where artificial intelligence increasingly supports analysis, modelling, visualisation and decision-making.

At BAC College (Singapore), AI-supported learning provides additional guidance as you examine datasets, practise programming and organise analytical findings. You will learn to use AI responsibly when exploring data patterns, reviewing Python code, comparing analytical approaches and communicating evidence-based conclusions.

AI Tutor

Personalised learning support around the clock
AI Writing Coach

Clearer analytical reports and data commentary
AI Study Coach

Optimised study habits and performance
AI Research Assistant

Faster exploration of data methods and concepts

Industry Projects & Certifications

Earn Microcredentials from the World’s Best Universities & Global Tech Giants

The specific Coursera courses, certification providers and programme-linked microcredentials require confirmation from BAC College (Singapore).

Career Outcomes

Your Pathway into Data Analytics and Further Computing Study

The Diploma in Computing (Data Analytics) develops the foundational computing, mathematical and analytical knowledge needed for further education and entry-level data responsibilities.

Upon completion, you will have explored programming, mathematics, data science, NoSQL databases, data visualisation and introductory predictive modelling. You will also strengthen your ability to collect and prepare data, assess its quality, select suitable analytical approaches and communicate findings effectively.

Require confirmation of the available degree programmes and transfer universities from BAC College (Singapore).

The BAC College (Singapore) Experience

Established Education

Established in 1996 and formerly known as ITC School of Laws, BAC College (Singapore) offers pre-university programmes and articulation pathways to degree-level study.

As part of the BAC Education Group, students can access educational opportunities connected to more than 25 affiliated UK universities.

Innovative Teaching

Experience teaching approaches that connect data concepts with programming, statistical reasoning and practical analysis.

You will be encouraged to:

Examine computer and networking fundamentals
Design introductory programming solutions
Apply mathematics and statistics to analytical problems
Collect, clean and integrate data
Work with NoSQL databases and MongoDB
Analyse and visualise datasets using Python
Develop introductory descriptive and predictive models

Personalised Academic Support

Benefit from structured learning, tutorials, academic guidance and opportunities to receive feedback throughout your studies.

Academic support can help you clarify mathematical concepts, improve your programming approach and present analytical findings with greater confidence.

Supportive Class Environment

BAC College (Singapore) provides the following published student-teacher ratios:

This format combines shared classroom learning with more focused discussion, technical guidance and feedback during tutorials.

Lectures: 1 lecturer to 100 students
Tutorials: 1 lecturer to 50 students

Global Progression Opportunities

Through the BAC Education Group, students can explore educational pathways connected to more than 25 affiliated UK universities.

These opportunities may provide greater flexibility when considering your degree destination, data specialisation and future professional direction.

Recognised Quality

BAC College (Singapore) has received consecutive four-year EduTrust certifications and was recognised as the Gold standard at the JobsCentral Learning Training and Education Development Awards in 2017.

Entry Requirements

Academic Requirements

Students must be 18 years of age or above and meet at least one of the following requirements:

GCE A-Level
Completion of Year 12
Completion of less than Year 12, where it represents the official completion of high school in the applicant’s country of origin
International Baccalaureate Diploma
A recognised pre-university certification
Polytechnic Diploma
BAC Foundation Diploma
Other private or foreign qualifications assessed on a case-by-case basis
Mature applicants aged 30 or above with at least eight years of working experience may be considered.

Language Proficiency

Students must meet at least one of the following English-language requirements:

Pass the BAC English Placement Test
IELTS score of 5.5 or equivalent

Fees

Tuition Fees

View Fees

Scholarships & Funding

Financial assistance, payment arrangements and funding options for this programme are subject to availability.

Speak to an education advisor for the latest information on:

Available scholarships or financial assistance
Instalment or payment-plan options
Applicable eligibility requirements
Terms and conditions

Speak to an Education Advisor

Get Personalised Guidance for Your Future.

Our advisors can help you understand the programme, admission requirements, module content, analytical tools and further-study opportunities.

Whether you are interested in data science, business intelligence, visualisation, databases or predictive analytics, our team can help you identify a suitable route forward.

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