Mages Institute of Excellence
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Data Science

Analyse data and present it in a way that solves real world problems

Programme Highlights

  • To extract, transform and load data and use visualization techniques to derive actionable insights to positively influence a desirable outcome
  • To utilize statistical methods in the data driven decision making process
  • To use statistical methods to develop and maintain predictive models
  • To process large amounts of data using big data technologies
  • To leverage BI tools to develop business data processing and visualization pipelines
  • To create predictive models using AI and Machine Learning techniques

What will you Learn

1

DATA SCIENCE FUNDAMENTALS (DS101)

DATA SCIENCE FUNDAMENTALS (DS101)

Built on the Top of the Basic Python Knowledge. In this module focus will be to train the aspirant on various concepts of python that are required for Data Science and Machine Learning

2

DATA ANALYTICS (DS102)

DATA ANALYTICS (DS102)

Students will learn to Extract the data from Database and ingest it into python as a Data frame and perform analysis.

3

Data Engineering (DS103)

Data Engineering (DS103)

The students will learn how to ingest data from various sources and will learn to work with modules such as the Pandas module on performing data wrangling.

4

DATA VISUALIZATION (DS104)

DATA VISUALIZATION (DS104)

The students will learn the concept of Exploratory Data Analysis (EDA) and how to use visualization techniques. Students will learn how to plot data using various visualization techniques.

5

MACHINE LEARNING FOR DATA SCIENCE (DS105)

MACHINE LEARNING FOR DATA SCIENCE (DS105)

The students will learn the feature engineering techniques and how it impacts the process in Machine learning model building. Students will also learn the concepts of supervised and unsupervised learning and types of algorithms used for Different Scenarios

6

CAPSTONE PROJECT (DS106)

CAPSTONE PROJECT (DS106)

Capstone Studio Practice is a research-based module that integrates concepts and works from throughout the program. Students are expected to integrate skills, knowledge, and creativity to produce a project that will showcase professional expertise in a chosen career field.

Career Opportunities

  • Career OpportunitiesCareer OpportunitiesJunior Data Scientist
  • Career OpportunitiesCareer OpportunitiesData Analyst

Junior Data Scientist

Junior Data Scientist will use the development tool to generate reports, dashboards, and analytical solutions according to business rules and specifications. He leads important projects and coordinates with the internal team to develop projection on the outcome implementing certain business strategies that results in actionable insights.

Data Analyst

Data Analyst will use the development tool to generate reports, dashboards, and analytical solutions according to business rules and specifications. He leads important projects and coordinates with the internal team to develop projection on the outcome implementing certain business strategies that results in actionable insights.

Our Faculty

Meisi Wang

DATA SCIENTIST

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DATA SCIENTIST

Meisi is an experienced Data Scientist who has worked on both private and governmental data analytics projects across different industries ranging from aviation, urban planning and infrastructure to consumer goods.

Formerly a Policy Analyst in the government sector, she transited from a generalist to a data analytics-driven professional. She is passionate to spread awareness about data science and share her experience on how to extract untapped insights within the data treasure trove that many companies possess.

Admissions

Duration:Part time 24 weeks (2 weekdays & 1 Weekend) |Full Weeks 14 weeks
Student to Lecturer Ratio:15:1
Part Time – 3 days X 3 hours a day per week
Medium of Instruction:Lectures & Practical (Hands on Application)
Language of Instruction:English
Mode of Assessment:Project Based Assessment for All Modules
Certification:Professional Certificate in Data Science Immersive

Entry Requirements

Minimum Age: 18 years old or above (based on date of birth) at point of start class

Academic Qualification for Diploma Intake: 3 GCE ‘O’ Level

English Proficiency: GCE ‘O’ Level English – Requires a minimum of C6 English grade

Programme Fees

Fees Breakdown
DATA SCIENCE
Programme FeeNet Payable (below 40 yrs)Net payable (40 yrs and above)
SGD 13,888SGD 5,123.16SGD 2341.16
30% of SGD13,000 + SGD888 + GST10% of SGD13,000 + SGD888 + GST

Placement Support

PORTFOLIO PREPARATION

Connect with mentors to build confidence with mock technical interviews and be coached in professional resume writing

PERSONAL DEVELOPMENT

Sharpen presentation skills in delivering future projects and develop winning pitches

COMMUNICATION & PRODUCTIVITY

Learn to cultivate productive communication in a team and strategically allocate time

LEADERSHIP ENHANCEMENT

Establish essential leadership and hone business networking skills

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