Diploma in Data Analytics (E-Learning) (BAC College)

• 18 years of age and above; and
• GCE A-Level; or Completion of Year 12; or
• Completion of less than Year 12 will be considered if it is an official completion of High School in the country of origin; or
• IB Diploma; or
• Pre-university certifications; or
• Polytechnic Diploma in any field; or
• BAC Foundation Diploma; or
• Mature candidates (30 years old or older with 8 years of work experience); or
• Other private or foreign qualifications will be assessed on a case-by-case basis.

Language Proficiency

• A pass in English at GCE ‘O’ Levels; or
• A Pass in the BAC English Placement Test; or
• IELTS 5.5 or equivalent.

Information not available

Platform Technology

• An introduction for students to computer system fundamentals, emphasizing modern operating systems and networking technology, required to support cloud architecture. It covers the following topics: operating system fundamentals; TCP/IP layered protocols; WAN and LAN networking fundamentals; internetworking and transport protocols, and fundamental computer and network security concepts, amongst others. You will also earn a microcredential from the University of Minnesota via Coursera for Campus.

Programming Fundamentals

• In this module the student will gain a broader understanding of modern computer programming. The student will acquire introductory skills in problem analysis, solution design, and program construction. Through practical programming activities, the student will gain an appreciation of the nature and history of computer programming. You will also earn a microcredential from IBM via Coursera for Campus.

Mathematics for IT

• Designed to develop students’ confidence with mathematical concepts and relationships, and improve their use of mathematics and statistical skills in a range of contexts, specifically problem solving and abstract thinking. Topics covered include numbers, functions and polynomials, derivatives, integrals, basic statistics and probability. You will also earn a microcredential from RICE University via Coursera for Campus.

Introduction to Data Science

• This module will introduce students to Data Science principles and tools, as well as its general mindset. Students will gain the necessary knowledge to deal with various facets of data science practice, including: data collection and integration, exploratory data analysis, predictive and descriptive modelling, data product creation, effective communication, and the relevant business methodologies, amongst others. You will also earn a microcredential from IBM via Coursera for Campus.

Big Data & MongoDB

• Students will learn the history and fundamentals of NoSQL databases, their key characteristics, four types of NoSQL databases, how they differ from each other, and their benefits. This course will give students hands-on experience with MongoDB database and Database-as-a-Service (DaaS) offerings. You will also earn a microcredential from IBM via Coursera for Campus.

Data Analysis & Visualisation

• This subject focuses on building students' ability to understand and perform data wrangling, and exploratory data analysis using python and real world datasets. Students will be learning the Pandas DataFrame, and utilising Scikit-learn, an open-source library. The libraries allow the students to load, manipulate, analyse, and visualize datasets as well as use some of its machine learning algorithms to generate models and predictions. You will also earn a microcredential from IBM via Coursera for Campus.

Capstone Project – Data Analytics

• Students will learn how to design a medium-scale technical solution through project-based learning (PBL). In this project, students will be involved in evaluating, selecting, and applying knowledge and practical skills acquired from this programme. Students can expand their skillset to construct new and improved ways of utilizing IT / computer solutions and technology to benefit society.