NTU Master of Science in Analytics

Programme Structure｜Build Expertise from Data to Insight: MSc in Analytics

The MSc in Analytics (MSA) offers a 1-year full-time or 2-year part-time pathway taught across 3 trimesters. Upon completion, graduates are awarded a MSc in Analytics degree.📈

Curriculum at a Glance
Total Credits: 30 Academic Units (AUs)
Core Courses: 10 courses | 18 AUs
Elective Courses: Choose from 14 options | 12 AUs
Analytics Practicum: 1 self-sourced internship | 6 AUs
Ad‑hoc Seminars: Analytics tools & industry insights

Hands-On, Industry-Connected Learning
The programme emphasises applying analytics to real-world data. The practicum offers direct professional experience—our students have interned at leading organisations such as:
Grab, Shopee, Lazada, DBS, UOB, DHL, PwC, Johnson & Johnson, Lenovo, PSA, MSD, Experian, UPS, APL, BreadTalk, Charles & Keith, JR Group and more.

Graduation Requirements:
Successful completion of all course and practicum requirements
Minimum CGPA of 2.50

Ready to build your analytics expertise in a structured, industry-connected programme?
Find out more and plan your application today:
https://www.ntu.edu.sg/spms/about-us/mathematics/grad/msc-in-analytics

Course List｜MSc in Analytics: Your Analytical Edge Starts Here

The MSc in Analytics (MSA) programme is designed to build a powerful, layered skill set. Through 10 core courses (18 AU) and a wide selection of electives (12 AU), you will master the full spectrum of turning data into decisive business value.

Compulsory Courses (18 AU):
MH6142 - Database Systems 3 AU
MH6151 - Data Mining 3 AU
MH6201 - Operations Research I 1.5 AU
MH6202 - Operations Research II 1.5 AU
MH6211 - Analytics Software I 1.5 AU
MH6212 - Analytics Software II 1.5 AU
MH6221 - Analytics Workshop I 1.5 AU
MH6222 - Analytics Workshop II 1.5 AU
MH6231 - Probability and Statistics 1.5 AU
MH6241 - Time Series Analysis 1.5 AU

Specialise with Electives (12 AU):
Tailor your expertise by choosing from advanced topics such as: Financial & Risk Analytics, Smart City Operations Analytics, Data Management & Business Intelligence, Web Analytics & NLP, Blockchain Systems, Algorithmic Foundations.

Integrate and apply all your learning in the substantial MH6191 Practicum (6 AU), a self-sourced internship that places you within leading organisations to solve real-world business problems.

Learning Pace:
Full-time students typically take 4-5 classes per week
Part-time students typically take 2-3 classes per week

Explore how our curriculum maps to your career vision:
https://www.ntu.edu.sg/spms/about-us/mathematics/grad/msc-in-analytics

FINAL CALL! MSc in Analytics Applications Close 31 Mar 2026!

Time is running out to transform data into decisive impact. The application deadline for NTU’s MSc in Analytics (MSA) is 31 March 2026, with the programme starting on 03 August 2026!

✨Final Application Deadline: 31 March 2026
✨Programme Starts: 03 August 2026

Why apply now?
1️⃣Master high-demand skills in data mining, statistical modelling, AI-driven insights, and optimisation
2️⃣Gain real-world experience through a self-sourced Analytics Practicum with leading organisations
3️⃣Join a programme designed for both professionals and recent graduates seeking to lead in the data-driven economy

Whether you aim to become a Data Scientist, AI Solutions Architect, Business Intelligence Strategist, or Financial Modeller, now is the time to secure your place in a forward-looking, industry-connected curriculum!

Submit your application before 31 March 2026 and start building your analytical edge.
https://www.ntu.edu.sg/spms/about-us/mathematics/grad/msc-in-analytics

March 11! Join Us Online to Explore NTU SPMS MSc in Analytics

NTU SPMS MSc in Analytics programme is designed for those who want to "tell stories with data and drive decisions with algorithms".

To help students explore this high-potential field, we will host an online admissions session on March 11. You'll have the chance to speak directly with the programme admissions team and receive detailed curriculum insights and application guidance.

✨Agenda
1️⃣Program Overview
2️⃣Career Prospects
3️⃣Admission Requirements
4️⃣Live Q&A

Date: 11 March 2026 (Wednesday) 6:00 PM (SGT)
Platform: Zoom (Online)

Speaker: Dr Lim Kay Jin, Programme Director
Register now and secure your spot: https://ntu-sg.zoom.us/meeting/register/39hQO03rS5udMugaq4lniA #/registration

We look forward to meeting you online and exploring the limitless possibilities of data analytics together!

Career Blueprint｜MSc in Analytics: Build Your Future in Data & Decision Science

The MSc in Analytics (MSA) at NTU SPMS equips you with the interdisciplinary expertise to decode data, predict trends, and drive decisions in the modern economy—where data isn’t just numbers, it’s your competitive edge.

From improving customer experiences to optimizing global supply chains, businesses now rely on sophisticated analytics to innovate and lead. This programme grounds you in applied mathematics, machine learning, and business intelligence—so you can transform raw data into real-world solutions.

You'll master core skills in:
●Predictive Modelling & Statistical Analysis
●Machine Learning & AI-Driven Insights
●Business Intelligence & Data Visualization
●Optimization & Decision Science

Where Our Graduates Lead:
●Data Scientist | Business Analyst
●AI Solutions Architect | Marketing Analytics Manager
●Supply Chain Analyst | Financial Modeler
●Customer Insights Strategist | Risk & Operations Consultant

Key Dates
⇒Intake: 03 August 2026
⇒Application Deadline: 31 Mar 2026

Ready to analyse tomorrow? Your future in data starts here:
https://www.ntu.edu.sg/spms/about-us/mathematics/grad/msc-in-analytics