Nowadays, data analytics is extensively applied to a lot of industries and sectors globally. By analyzing data and statistics, business companies and organizations can have a better grasp on how to efficiently manage their projects. In 2012, Harvard Business Review labelled Data Scientist as “The Sexiest Job of the 21st Century” because of the continuously growing opportunities under various industries, mainly business and technology. This year, it also took a spot in the top 10 Singapore’s LinkedIn’s 2020 Emerging Jobs Report, making data analytics an in-demand field.
With Singapore offering high-end opportunities in this field, taking a Data Analytics Course in Singapore will surely provide you with better chances of growth in your chosen profession.
So, let’s first take a look at some of the most leading data analytics courses in Singapore you can choose from. These courses will equip you with the knowledge, dexterity, and competence that you will surely need in pursuing a career under the data analytics industry.
The Nanyang Technological University’s MSc in Analytics primarily focuses on ground application of data analytics in real-world scenarios. The Masters data analytics program can either be taken through a one-year full-time coursework or a two-year part-time program. In total, the program has 30 academic units (AU) consisting of 24 AU core courses and 6 AU elective courses.
Below are the courses that you will take under the Masters data analytics program:
MH8101 Operations Research I (1.5AU)
MH6301 Information Retrieval and Analysis (3AU)
MH 8102 Operations Research II (1.5AU)
MH8311 Stochastic Processes for Data Science (1.5AU)
MH8111 Analytics Software I (1.5AU)
MH8321 Statistical Modelling and Data Analysis (1.5AU)
MH8112 Analytics Software II (1.5AU)
MH8322 Uncertainty and Dependence (1.5AI)
MH8121 Analytics Workshop I (1.5 AU)
MH8331 Financial and Risk Analytics I (1.5AU)
MH8122 Analytics Workshop II (1.5AU)
MH8332 Financial and Risk Analytics II (1.5AU)
MH8131 Probability and Statistics (1.5AU)
MH8341 Data Management and Business Intelligence (1.5AU)
MH8141 Time Series Analysis (1.5AU)
MH8351 Web Analytics (1.5AU)
MH6142 Database Systems (3AU)
MH6151 Data Mining (3AU)
MH6191 (Practicum 6AU)
Check out more on NTU’s MSc in Analytics here.
The National University of Singapore’s DSA Program emphasizes on the application of data science and analytics at more prominent industries in Singapore such as biomedical sciences, healthcare, manufacturing, e-commerce, and many more. The curriculum ensures to effectively teach and train its students to prepare them in entering the said industries. The data analytics degree program can be completed in 4 years with an accumulated total of 160 MCs or units.
These are the offered courses under the data analytics degree program:
List A — DSA Modules
DSA4211 High-Dimensional Statistical Analysis
DSA4212 Optimisation for Large-Scale Data-Driven Inference
DSA426x Sense-making Case Analysis: YY and ZZ
List B1 — DSA-recognised modules (no hidden pre-requisites)
MA3236 Nonliear Programming
MA3252 Linear and Network Optimisation
MA4270 Data Modelling and Computation
ST3232 Design and Analysis of Experiments
ST3233 Applied Time Series Analysis
ST3239 Survey Methodology
ST3240 Multivariate Statistical Analysis
ST3248 Statistical Learning I
ST4231 Computer Intensive Statistical Methods
ST4234 Bayesian Statistics
ST4248 Statistical Learning II
List B2 — DSA-recognised modules (with hidden pre-requisites)
CS3210 Parallel Computing
CS3223 Database Systems Implementation
CS3230 Design and Analysis of Algorithms
CS3243 Introduction to Artificial Intelligence
CS4224 Distributed Databases
CS4225 Big Data Systems for Data Science or Massive Data Processing Techniques
in Data Science
CS4231 Parallel and Distributed Algorithms
CS4234 Optimisation Algorithms
CS4243 Computer Vision and Pattern Recognition
CS4248 Natural Language Processing
CS5340 Uncertainty Modelling in AI
MA4230 Matrix Computation
(Tabulated from: http://www.nus.edu.sg/nusbulletin/faculty-of-science/undergraduate-education/degree-requirements/bachelor-of-sciencebachelor-of-science-hons-programme-requirements-b-sc-b-sc-hons/data-science-and-analytics/)
You can check out more information about the data analytics degree course here.
The MSc in Accounting (Data and Analytics) program by SMU can either be taken in a one-year full-time or two-year part-time duration. There are a total of 12 data analytics courses under the Masters Data Analytics program and these primarily revolve around 3 main disciplines: Accounting Foundation, Data Technology, and Accounting Analytics. The program is also designed to adapt a multi-disciplinary approach towards learning.
The Masters Data Analytics program’s general course structure and curriculum is as below:
Financial Reporting in the IFRS World (Part I)
Applied Statistics for Data Analysis
Forecasting and Forensic Analytics
Financial Reporting in the IFRS World (Part II)
Programming with Data
Analytics for Financial Instruments
Managing for Value Creation
Analytics for Value Investing
Accounting Information Systems
Data Modeling and Visualisation
Accounting Analytics Capstone (SMU-X)
Internships or Independent Studies (Optional)
SMU Postgraduate Professional Development Series and SOA Masters Industrial Talk Series
More information on the course overview is available here.
For the Singapore Polytechnic's Specialist Diploma in Data Science, if you are currently employed and require basic analytics skills for your job (some examples of industries that may require data analytics knowledge include the government, banking, insurance, telecommunications, manufacturing, retail, etc.), then this course is best suited for you.
The data analytics course presents 2 post diploma certificates upon passing 2 coursework modules.
PDC 1 Certificate in Fundamentals of Data Science
PDC 2 Certificate in Data Analytics
Module 1 – Introduction to Statistics for Data Science
Module 3 – Data Mining Techniques
Module 2 – Introduction to Programming for Data Science
Module 4 – Applied Statistical Methods
Check out more about the data analytics certification course here.
Nanyang Polytechnic offers 3 post diploma certificates on Business Analytics, Big Data Analytics, and Big Data Management. The modules under these data analytics certifications are tabulated below:
Post-Diploma Certificate in Business Analytics
Post-Diploma Certificate in Big Data Analytics
Post-Diploma Certificate in Big Data Management
Business Analytics Essentials (30 hours)
Big Data Analytics Essentials (30 hours)
Big Data Management Essentials (30 hours)
Statistics and Analytics Techniques (30 hours)
Machine Learning Techniques (30 hours)
Infrastructure System for Big Data Processing (30 hours)
Data Visualization (30 hours)
Text Mining and Analytics (30 hours)
Parallel Computing for Big Data (30 hours)
Business Analytics Project (60 hours)
Big Data Analytics Project (60 hours)
Big Data Management (60 hour)
You can read about the data analytics certification courses here.
There you have it! 5 most popular data analytics courses in Singapore! Make sure to review them properly and choose the one that best suits your needs and preferences.
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