bachelorTechnology

Data Science & Analytics

Data Science & Analytics is one of the fastest-growing fields in Singapore, driven by the financial services, healthcare…

3 years

Find My Best-Fit University

Is This Course Right For You?

Good Fit

✔Strong in maths and logical reasoning
✔Enjoy problem-solving and building things
✔Curious about how technology works
✔Comfortable with abstract thinking

Consider Carefully

⚠Requires consistent self-study and practice
⚠Fast-changing field — continuous learning is essential
⚠Project deadlines can be demanding

Not Ideal For

✗Prefer non-technical or purely creative subjects
✗Dislike working with code or systems
✗Looking for a purely people-facing career

Data Science & Analytics Career Outcomes

What can you do with a Data Science & Analytics degree?

Job Roles

Data Analyst

Data Scientist

Business Intelligence Analyst

Machine Learning Engineer

Quantitative Analyst

Data Engineer

What You Will Study in Data Science & Analytics

Core topics and skills covered in this programme.

Year 1 — Data Foundations

5 topics

Programming for Analytics (Python & R)

Core programming skills for data manipulation, statistical computing, and automation.

Statistics for Data Science

Probability, distributions, regression, and statistical inference.

Database Management & SQL

Relational database design, advanced SQL, and introduction to NoSQL.

Data Visualisation

Tableau, Power BI, and Python libraries for creating compelling data stories.

Business Analytics Fundamentals

Applying data analysis to real business problems in operations, marketing, and finance.

Year 2 — Advanced Analytics

5 topics

Predictive Analytics & Machine Learning

Supervised and unsupervised learning algorithms and their business applications.

Big Data & Cloud Platforms

AWS/GCP data services, Spark, and scalable analytics architectures.

Text Analytics & NLP

Sentiment analysis, topic modelling, and chatbot development.

Operations Research & Optimisation

Linear programming, simulation, and decision analysis for operational efficiency.

Data Governance & Ethics

Data quality, privacy regulations, and responsible AI in Singapore's regulatory context.

Year 3 — Industry Applications & Capstone

4 topics

Financial Analytics

Algorithmic trading, credit scoring, fraud detection, and risk modelling.

Healthcare Analytics

Electronic health records, clinical trial analysis, and predictive health modelling.

Supply Chain & Logistics Analytics

Demand forecasting, inventory optimisation, and last-mile delivery analytics.

Analytics Capstone Project

Industry-sponsored project solving a real analytics challenge with measurable business impact.

Best Universities for Data Science & Analytics

3 universities offering this programme — ranked by QS World University Rankings.

Data Science & Analytics Cost & Duration

Duration

3 years

Typical full-time study duration

AI-Powered Matching

Not sure if Data Science & Analytics fits you?

Answer a few quick questions and get personalised university recommendations for this field.

Find My Best-Fit Course

Entry Requirements

Strong results in Mathematics. IELTS 6.0 or equivalent. Programming experience (Python or R) is advantageous.

AI Matching

See If This Course Fits You

Get personalised university recommendations based on your profile and goals.