Student Opportunities

Minor-in-Data-AI

The digital era is here to stay and it created an important commodity – data. Future proof your career by building deep skills to work with data.

In collaboration with AI Singapore (AISG), SP offers a Minor in Data & Artificial Intelligence. This Minor is open to all students except for students from Data & AI disciplines.

Students will take five (5) prescribed elective modules to build relevant data skills and be able to apply skills learnt in a relevant industry project, curated by SP Data Science and Analytics Centre with support from AISG, for their internship. Students who successfully complete both the Minor and internship will be awarded an additional e-certificate in AISG’s AI Data Apprenticeship Programme (AIDP).

Guidance on how the five elective modules should be taken:

Students will need to successfully complete the first block of elective modules (Fundamentals and Automation of Data Anaylsis, Programming for Data Science) in any sequence. Students will then progress to undertake the second block of elective modules (Data Visualisation for Business, Thinking with Data for Decision Making) in any sequence. Upon successful completion of the electives in the second block students will undertake the last elective module (Machine learning in Python).

Students who successfully complete all five elective modules will earn a Minor in Data & AI.

The synopses of the five elective modules are as follows:

Module NameSynopses
1.Fundamentals and Automation of Data Analysis using Excel This elective equips students with skills in data analysis and its automation, that AISG’s AIDP program trains its participants in. This practical elective is designed to equip students with the essential skills to perform data analysis using Excel. It further aims to equip students with the necessary skills to automate repetitive data analysis tasks in Excel, using Robotic Process Automation (RPA). In particular, this elective provides a much needed platform to train students in the integration of RPA with Excel to automate tedious, monotonous and repetitive tasks with the important aim of making the data analysis pipeline efficient.
2.Programming for Data ScienceThis module provides students with the fundamental skills to code applications to retrieve, clean and visualize data using the Python programming language. Students will learn how to apply Python packages to describe data, explore data and to create visualizations that can help them gain useful insights from it.
3.Data Visualization for BusinessThis module is designed to equip students with practical skills needed in processing, summarising and understanding data through visual analytics, in particular, via exposure to the Power BI platform and Python programming. Students will develop an appreciation of the visualization workflow and an understanding of the types of visuals that may be created for representing data, based on the complexity of the problem. The students will also acquire the skill of developing data dashboards progressively, via the integration of Power BI and Python, to facilitate effective monitoring of data. Students will apply skills learnt in the course, in creative ways to develop dashboards with real world data.
4.Thinking with Data for Decision MakingThis module aims to equip students with sound statistical concepts and techniques to conduct exploratory data analysis for various types of datasets, to draw insights and make inferences.  Students will be trained to use Python and its libraries to represent, analyse and interpret data.
5.Machine Learning in PythonThis module introduces participants to the fundamentals machine learning (ML) techniques. Students will be introduced to various Low-code tools for Machine Learning (e.g. Microsoft Azure Machine Learning Studio, Orange Data Mining, and PyCaret/Scikit-Learn Python ML Library). Students will apply the knowledge gained to build a functional ML models. This model can be for improved data analysis beyond classic statistical techniques


Samples Of Past Projects With Students’ Involvement

DSAC provides opportunities for SP students to be involved in the Centre’s industry projects, events and roadshows.


DSAC encourages students to join local AI groups. For example, you may want to check out SPAI, a student-led AI club in SP consisting of a community of AI enthusiasts determined to serve society through AI. Find out more about SPAI here.



Internship @ DSAC


What do our interns have to say?

Mar 23 -Aug 23

Jazlyn Yeo, (Project Management System using Google AppSheet), Mar 23-Aug 23, SoC Diploma in IT
"It was fun, enjoyable and I've gained valuable experience and knowledge relevant to the industry. "

Ritchie Chung Wei Qi, (AI for work-safety), Mar 23 -Aug 23, EEE Diploma in Computer Engineering
"My internship experience has been wonderful. It has broadened my knowledge on AI and computer vision."

Tee Yee Cheng, (AI for Security), Mar 23-Aug 23, SoC Diploma in Applied AI and Analytics 
"I am able to learn a lot of a mix of both soft and technical skills and better equip myself with the knowledge to use recent technologies and development modern applications. Not only that, the staffs were also nice to everyone and treat all of us as a part of their team and fellow colleagues rather than just interns."

Sep 22 - Feb 23

Sheng Yiping, (Data Integration System), Sep 22 - Feb 23, SoC Diploma in IT
"I like that I got to develop many new skills and gained valuable experience relevant to the industry that I would be an asset in my future career."

Ching Yee Chen, (Inventory Management System using Google AppSheet), Sep 22 - Feb 23, SoC Diploma in IT
"Good learning opportunity and able to meet like-minded people."

Harith Irfan, (AI Web Application),
Sep 22 - Feb 23, EEE Diploma in Computer Engineering
"During my internship at DSAC, I was given the opportunity to acquire relevant web development and AI skills as well as apply them onto a project. Overall, it was a generally enjoyable experience as I got to interact with friendly staffs and interns throughout my time working at DSAC. Although it was challenging, it made the overall experience of completing the internship more meaningful and satisfying."

Quek Hock Jea, (Motion Heatmap), Sep 22 - Feb 23, SoC Diploma in Applied AI and Analytics
"Learning new skills and applying what we learn to the real working environment is what we interns aim to achieve, and I think DSAC has given me more than that. I learnt to be accountable for my responsibilities in DSAC and felt inclusive within the conversations of the friendly staff. I liked that our opinions mattered, and respect was given when due."


Mar 22- Aug 22

Lim Xin Chian,(AI Feedback Analyzer and SSG project), Mar 22- Aug 22,
SoC Diploma in Applied AI and Analytics
“I would say that I have had a meaningful and substantial time in DSAC, the project allowed me to apply my knowledge learned from DAAA and also learnt a lot of new stuff that can help me to enhance my knowledge related to my course.”

Khor Zhao Bao, (AI for Workplace Safety), Mar 22- Aug 22,
SoC Diploma in Applied AI and Analytics
“It is a great opportunity to learn something new and project related to the industry. This internship experience makes me be more familiar with what I have learned.”

Ahmad Muaz Bin Mohammed, (Time Series Dashboard), Mar 22- Aug 22,
EEE Diploma in Computer Engineering
“At DSAC, I was given the opportunity to work on an industry project. Though it might have been challenging, I feel fufilled as I was able to learn several new technical skills.”

Jeremiah Foo, (Data Analytics), Mar 22- Aug 22,
EEE Diploma in Computer Engineering

“Challenging but on hindsight, a purposeful and solid opportunity”

Damien Law, (Speech-to-text), Mar 22- Aug 22,
EEE Diploma in Computer Engineering
“I like the chance to be able to apply my skills practically in a meaningful way.”


Sep 21- Feb 22

Keane Ng, (Survey Feedback Analysis System), Sep 21- Feb 22, SoC Diploma in IT
“Internship at DSAC was a fufilling experience to help me grow and learn through an industry perspective. Helping to integrate emerging technology into companies/services that are growing.
I love that we have our own space to work at first of all, I also have kind supervisors/mentors & colleagues that help me to go through the project at a suitable pace, helping me to learn on the job as well.”

Li Xinyi, (Computer Vision Project), Sep 21- Feb 22, SoC Diploma in IT
“Very relevant to what I’ve learnt in school with a conducive environment for learning. I liked that the people around me were very welcoming and generally very helpful with any problems I had which made the internship a pleasant experience.”

Chan Choon Qi, (RPA Project Using TagUI), Sep 21- Feb 22, SoC Diploma in IT
“Everything is great! 5 months of learning a lot of new things that I did not see before in my 3 years of polytechnic education. 5 months not wasted but enjoyed.”

Wan Zhenyu, (RPA Project Using TagUI), Sep 21- Feb 22, SoC Diploma in IT
“My internship has been meaningful as I have been learning a number of interesting things. While it may have been stressful, it was also fun and worth it.”

Damian Tan, (Text to Speech Project), Sep 21- Feb 22, SoC Diploma in IT
“I like being able to explore Speech to Text and NLP in general and being able to code independently. I have learnt a lot during this period, and enjoyed my time in this internship.”

ADJUNCT TEACHING OPPORTUNITIES

There are opportunities for adjunct teaching of short courses related to Data Science and modules within our Specialist Diplomas.

Find out more about the Specialist Diploma in Data Science below:

Artificial Intelligence | Data Analytics | Predictive Analytics |
Vision and Language Analytics (new!)

Interested parties, please email to li_kainan@sp.edu.sg.

We are ready to lead you into the future of AI, Data Science and Analysis. Contact us to learn more.

logo