With big data technologies becoming more affordable and accessible, more companies are innovating how business is done. And as they innovate, more data piles up. Business analytics helps organisations to leverage their data to gain insights and make informed decisions. That’s why understanding these analytics is a vital first step for professionals who are looking to develop a strategic advantage and competitive edge in the market.

In order to build and implement effective business strategies, you must first identify the analytics-related barriers in your organisation and industry. For organisational goals to be met, analytical maturity must be improved through the continual assessment of data.

From predictive models used for business forecasting to the ins and outs of causal analytics to the privacy and security of datasets, participants will be exposed to big data applications, artificial intelligence (AI) technologies, real-world case studies.


Professionals, who are looking to improve functional performance through analytics or build business analytics capabilities to transform their organisation, will benefit most from this programme.

Understanding big data is an invaluable asset that can serve professionals in a variety of roles, including but not limited to:

  • Director/Head of Operations
  • Vice President
  • CXO
  • Business, Data, or Financial Analyst
  • Business, Project, or Strategy Manager
  • Business, IT, Data, or Marketing Consultant

The programme requires no formal education in data or analytics; in other words, you don’t need advanced technical knowledge to benefit from this programme.


Here are some specific challenges you can better address after earning your business and data analytics certificate:

  • Identifying analytics challenges and untapped data sources in your organisation or industry
  • Articulating differences between causal and predictive analytics
  • Evaluating and improving your organisation’s analytical maturity and quality
  • Identifying suitable cause and effect variables and factors that could create biased results
  • Assessing how measurements, people, and technology can be leveraged to meet organisational goals
  • Pinpointing pertinent AI risks for your organisation and industry sector regulations relevant to these risks
  • Identifying accuracy metrics and factors that are vital to predicting specific business outcomes
  • Evaluating the current data protection infrastructure of your organisation
  • Evaluating organisational needs for data science personnel and analytics technological infrastructure
  • Recognising factors that could compromise your organisation’s data integrity or model transparency


Take the first step to a Global Education

  • Starts on

    November 18, 2020

  • Duration

    2 Months, Online

    (4-6 hours per week)
  • Course Fees

    US$ 1,400*

Curriculum & Faculty


Includes a Predictive Analytics Lab, where the faculty will walk participants through how to use an automated machine learning platform called DataRobot on a loan dataset

*This programme will be delivered via recorded video lectures by faculty.



Participants will apply the learnings of the programme with the help of the Business Analytics Playbook. Here is an overview of what you can expect:

  • Each week, participants must complete the corresponding module’s application exercise in the Playbook
  • There will be optional polls, discussions, crowd-sourced activities, try-it exercises, and industry Q&As that participants are encouraged to engage with
  • Participants must complete 4 out of the 5 weeks of the Business Analytics Playbook in full, in order to receive their certificate

The Playbook and application assignments are designed to seamlessly guide you through each module. Any questions you may have as you work through the Playbook can be addressed during the weekly Live Session’s assignment debrief.


Jussi Keppo
Jussi Keppo

Faculty at NUS Business School

Prasanta Bhattacharya
Prasanta Bhattacharya

Faculty at NUS Business School

Learning Experience

Emeritus follows a unique online model. This model has ensured that nearly 90 percent of our learners complete their course.

  • Orientation Week

    Orientation WeekThe first week is orientation week. During this week you will be introduced to the other participants in the class from across the world and you will learn how to use the learning management system, discussion boards, the Business Analytics Playbook, and other learning tools provided.

  • Weekly Goals

    Weekly GoalsEach week, you will be required to complete one assignment. Weekly assignments will be outlined in your Business Analytics Playbook.

  • Clarifying Doubts

    Clarifying DoubtsDuring the programme, the Programme Leader is available to help participants clarify their doubts pertaining to the content. The Programme Leader will review key topics and trends from the discussion boards, share a generalised feedback and have a Q&A session on the Playbook.

  • Follow-Up

    Follow-UpEmeritus Programme Support Team follow-up over email and phone calls with learners who are unable to submit their assignments.


Emeritus Program Support Team

If at any point in the course you need tech, content or academic support, you can email program support and you will typically receive a response within 24 working hours or less.



Business Analytics for Strategic Decisions - Certificate Click to view certificate



  • You can pay for the course either with an international debit or credit card (unfortunately we are unable to accept Diners credit cards), or through a bank wire transfer. On clicking the apply now button below, you will be directed to the application form and the payment page.
  • We provide deferrals and refunds in specific cases. The deferrals and refund policy is available here.
  • You will be provided a course login within 48 hours of making a payment.


  • Please provide your work experience and your current employer via the application.
  • You can apply by clicking the Apply Now button


For any questions regarding Emeritus, the learning experience, admission & fees, grading & evaluation please visit COMMON FAQs