This course will equip you with skills and knowledge to excel in the domain of business analytics. You will gain strong business sense as well as an appreciation of insights from data analysis courses focusing on AI and big data. You will learn to play a critical role in guiding businesses through today’s environment of digital disruption, through analysing and utilising data to drive digital transformation, redefine the customer experience and deliver profitable outcomes in business.
The credits you earn after completing this course can be transferred towards the MSc Business Analytics degree.
- Understand the role of analytics, data science, and artificial intelligence in solving real world problems
- Learn to use analytics and machine learning to support business decisions
- Create and implement AI models to automate business and accounting processes
- Gain conceptual and technical knowledge to solve data-related problems and design visualisation strategies to support business decision making
|Analytics Principles and Strategies||Analytics, Data Science and Artificial Intelligence are transforming business, social and governments’ way of work and way of life. This course will show how important ideas and concepts were applied in real world applications to impact the way we live and work. With the focus on real world problems and the circumstances and issues surrounding them, this course will re-establish the original objective of Analytics, Data Science and Artificial Intelligence – to serve humans and society.|
|Analytics Technology in Business|
Technological advancement renders both opportunity and shortfall for business organisations. An appreciation of analytics and machine learning can often turn these shortfalls into opportunities and transform a business. The ability to catch up with technology is often the key for businesses to stay relevant. This course introduces the concept and technology behind analytics and how businesses can embrace this in their operations. You will gain an understanding of the fundamentals of analytics and machine learning deployed in business operations. Using programming language and other tools to perform analysis, you will learn to process different types of data to perform suitable analysis according to your problem statement.
|Analytics and Big Data in Business|
This course presents fundamental concepts and techniques in managing and presenting data for effective data-driven decision making. Data has become integral to businesses and organisations. This course is developed to bridge the gap between the demand and availability of market talent specific to analytics and big data in business. The course serves dual roles of presenting the importance of big data on business decision making and of demonstrating ways that visualisation can effectively augment business decisions.
The course will equip you with the skills to solve data-related problems and design visualisation to augment business decision making. You will gain strong conceptual and technical knowledge in database designing and implementation. You will be able to understand how database and big data support business processes for business analytics. In particular, you will be able to apply your knowledge and skills to analyse a variety of business process, identify data requirements, and create corresponding visualisation strategies.
|AI in Finance and Enterprise|
An introductory course, this is ideal if you are interested to learn how to manage data, conduct business analytics programmatically, create Artificial Intelligence (AI) models to automate enterprise processes and create predictive models to increase profitability or returns.
You will gain a broad understanding of how to manage data, the process of preparing data for analysis, basics of analytics, and using AI to automate financial and enterprise analysis processes. You will be able to write customised solutions to make informed enterprise and finance decisions and integrate statistical libraries for data analysis. This module will provide you with individual hands-on practices to hone your coding skills, . utilising R and Python language as the medium of learning because it is one of the most in-demand coding languages and its user-friendly syntax is well suited for beginners. You will also utilise modern development tools to turn information into insights, including Keras’ Deep Learning model, Google Brain TensorFlow, Hadoop, Spark and Google Cloud.
Standard Course Fee: S$$18,750
|Full Course Fees in SGD|
|Fees BEFORE funding & GST||Fees AFTER funding & GST|
|Participants without funding||$18,750.00||$20,062.50|
|Singapore Citizens / PR||$18,750.00||$6,018.75|
|Singapore Citizens (aged ≥40)|
MCES1 - up to 90%
|SME-sponsored Singapore Citizens / PR|
ETSS2 - up to 90%
Fee payable to NBS after 70% SSG Funding and use of $1,600 Alumni Credits
|NTU Class of 2020|
Fee payable to NBS after 70% SSG Funding and use of $3,200 Alumni Credits and NTU Class of 2020 COVID-19 support
1. Under the SkillsFuture Mid-career Enhanced Subsidy (MCES) scheme. For more information, visit the SkillsFuture website here
2. Under the Enhanced Training Support for Small & Medium Enterprises (ETSS) scheme. For more information, click here.
Singapore Citizens, aged 25 and above, and self-sponsored, may use their SkillsFuture Credit to defray part of the net course fee. Participants can submit their SkillsFuture Credit claims by logging in MySkillsFuture.sg. Please click here for “How do I submit a claim for SkillsFuture credit?” and other FAQs.
- Participant must achieve a minimum of 75% attendance for the programme.
- Participant must complete a written assessment on the final day of each module.
Participants do not need to contact SkillsFuture or SkillsConnect for funding prior to course registration. NTU will handle the funding paperwork for both self and company-sponsored participants. Participants will be invoiced the net amount after funding and GST..