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MiniMasters in Business Analytics

Course Overview

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.​

  • How You will Benefit
  • How MiniMastersTM in Business ANalytics Works
  • Admission Requirements​​​
  • Course Schedule & Details​
    Course ​Month ​Run Dates
    ​Analytics ​Principles and Strategies ​​​​TBC 


    ​​​​​​TBC
    ​Analytics Technology in Business
    ​Analytics and Big Data in Business
    AI in Finance and Enterprise​
    *University will have the final decision on the mode of delivery for the class ( Physical or Online) and students will be notified accordingly.
    *Nanyang Executive Education reserves the right to change the date,venue and mode of delivery due to unforeseen circumstances or prevailing government advisory.
  • Course: 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.
  • Course: 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.

    Learning Outcomes
    1. Understand the basic of analytics and machine learning and how they are relevant to business.
    2. Understand the elements of analytics and the steps in developing analytics capability.
    3. Construct machine learning solutions for a given problem.
    4. Manage the use of analytics and machine learning to support business decisions.
  • Course: Analytics and Big Data in Business 
  • Course: 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.

    Learning Outcomes
    1. Write code to solve Finance and Enterprise problems programmatically by creating AI models using R, Python, Keras, Hadoop, Spark and API.
    2. Manage data to sufficiently derive, communicate analytics outcomes and eventually create AI models in enterprise and finance.
    3. Implement a simple system in Google Cloud, including engineering work in implementing AI models in Finance and Enterprise.
  • Pathway to NBS Master's Programmes

    Participants who attain an NBS MiniMastersTM may choose to stack it towards a Full NBS Master’s programme. Upon meeting admission requirements, participants may choose the following pathway:​

    ​NBS MiniMastersTM ​Stackable To Full NBS Master's Programme​
    ​​​​MiniMastersTM in Business Analytics ​MSc(Business Analytics)​

    Accreditation of courses completed under the NBS MiniMastersTMto aFull NBS Master’s programmewill be subject to the current accreditation policy:

    a. Transfer credits of up to 12 AUs of courses upon successful admission into aMaster’s programme

    b. The grade obtained for the course must be at least a C+ (subjected to change for specific Master’s programme)

    c. The validity period for exemption/ credit transfer of a course is five years from the date of award of the course as reflected in the official result slip/transcript

    d. The course must not have been used for exemption/credit transfer into another programme

    Admission to Full NBS Master’s programme

    Participants have to meet all required admission standards of the selected Master’s programme.


    Accreditation of courses completed under the NBS MiniMastersTM to a Full NBS Master’s programme will be subject to the current accreditation policy:

    a. Transfer credits of up to 12 AUs of courses upon successful admission into a Master’s programme
    b. The grade obtained for the cou​rse must be at least a C+ (subjected to change for specific Master’s programme)
    c. The validity period for exemption/ credit transfer of a course is five years from the date of award of the course as reflected in the official result slip/transcript
    d. The course must not have been used for exemption/credit transfer into another programme
    Admission to Full NBS Master’s programme
    Participants have to meet all required admission standards of the selected Master’s programme.
  • Funding and Fees

    ​Fee before
    ​funding (excluding GST)
    ​Fee after funding
    (excluding GST)​​
    ​​Fee after
    funding 
    (including GST)
    ​Full Fee S$18,750.00 ​S$18,750.00 S$20,062.50
    Singapore Citizens / PR​ 
    (aged ≥ 21)​
    Course Fee Grant - up to 70%
    S$18,750.00 ​​S$5,625.00 S$6,018.75
    Singapore Citizens (aged  40)
    MCES1 - up to 90%
    S$18,750.00 S$1,875.00​ S​$2,268.75​
    ​SME-sponsored Singapore Citizens / PR
    ETSS2 - up to 90%
    S$18,750.00 ​S$1,875.00 S$2,268.75
    NTU Alumni
    Fee payable to NBS​ after 70% SSG Funding and use of $1,600 Alumni Credits
    S$18,750.00 S$4,418.75​
    NTU Class of 2020
    Fee payable to NBS after 70% SSG Funding and use of $3,200 Alumni Credits and NTU Class2020 COVID-19 support​
    S$18,750.00​ S$0,000.00​

    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​.

    SkillsFut
    ure Credit​
    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 MySkillfuture.sg. Please click here​ for "How do I submit a claim for Skillsfuture credit?" and other FAQs.​

    Funding Requirements
    - Participant must achieve a minimum of 75% attendance for the course.
    - Participant must complete a written assessment on the final day of the course

    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.​

  • Venue
    In person training will be held on NTU Campus (50 Nanyang Ave, 639798).

    Nanyang Executive Education reserves the right to change the venue, date and mode of delivery due to unforeseen circumstances or prevailing government advisory.​​
  • Contact Us
    For enquiries about this course, please contact us at nbs_minimasters@ntu.edu.​sg​​​​​

MiniMastersTM in Business Analytics​

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