Business Analytics & Intelligence (BAI - Batch 14) 
Last date for registration: TBD
End Date : TBD
Overview
In the present day, Herbert Simon's theory of bounded rationality is more relevant than ever given the increasing complexity of business problems; the limited ability of the human mind to analyze alternative solutions; and the limited time available for decision making. In many organizations, the introduction of enterprise resource planning (ERP) systems ensured data availability, but traditional ERP systems lacked data analysis capabilities that would support management in making decisions.
Business Analytics is multi-dimensional and interdisciplinary concept. Various dimensions of Business Analytics include data governance, exploratory data analysis, pattern recognition, problem solving, solution deployment and ultimately value creation for all the stakeholders. To create value through data, we use multiple discipline such as mathematics, statistics, artificial intelligence, machine learning, computer science and management strategy. Since the advent of analytics in solving business problems, the demand for Analytics, Machine Learning and Artificial Intelligence professionals has increased dramatically. Business Analytics creates capabilities for companies to compete effectively on the market and has become one of the main functional areas in most organizations. Thomas Davenport in his book titled, “Competing on analytics: The new science of winning”, claims that a significant proportion of high- performance companies have high analytical skills among their personnel and doing extremely well.
Banks and Financial Institutions, e-commerce, FMCG, healthcare, insurance, manufacturing, retail and services are fostering the revolution of Analytics and creating new roles by changing the landscapeof employment ecosystem. In its recent survey2, IBM reported that there will be 2.7million new job opportunities for roles that require skills in machine learning, data science, big data, and deep learning, which would raise 39% growth in employer demand. Amazon made a huge profit of $11.59 billion in the first nine months of 2020 amidst ramping pandemic COVID-19. Amazon's success is attributed to its analytical capabilities, the recommender system that it has incorporated into its operations, as well as Amazon Web services. Corporate experience has shown that analytical skills improve the ability to make better decisions.
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Course Content
The course consists of fourteen course modules, two MOOC modules and a project. The modules and their contents are discussed in the following paragraphs. Case-based teaching will be used for all the modules using case studies from IIMB, Harvard Business School (HBS), Darden, Ivey, and Kellogg. Significant proportions of the cases used in the course are published by IIMB faculty at the Harvard Business Publishing. A few of them are published by the students from the previous batches based on their project work. IIMB distributes more than 40 analytics cases on Indian and Multi-national companies through Harvard Business Publishing which are used by more than 250 Institutions across more than +70 countries.
Objective
Using case studies based on Indian companies, this course provides in-depth knowledge of analytics and big data tools and techniques that can be used for decision-making and problem solving based on facts. By the end of the course, the participants will be able to:
- Understand the use of Artificial Intelligence and Machine Learning as a competitive strategy.
- Understanding of Artificial Intelligence and Machine Learning. Understanding of descriptive, diagnostic, predictive and prescriptive analytics
- Demonstrate machine learning algorithms such as supervised, unsupervised, reinforcement and evolutionary algorithms with applications using case studies.
- Apply neural networks and deep learning algorithms and their applications in solving business problems.
- Use AI and ML in application areas such as Customer Requirement Analysis, General Management, Marketing, Finance, Operations, and Supply Chain Management.
- Demonstrate applications of analytics in various industries such as Banking, Finance Services and Insurance (BFSI), Defense, E-Commerce, Healthcare, Manufacturing, Retail and Service Sector.
- Analyse unstructured data such as social media data, machine generated data, images, videos, and text (Natural Language Processing).
- Deploy Artificial Intelligence with a special focus on neural networks and deep learning algorithms such as CNN, RNN, and Generative models.
- Understand sources of Big Data and the technologies and algorithms for analysing Big Data for inferences. Ability to analyse unstructured data such as social media data and machine generated data.
- Analyse and solve problems from different industries such as Manufacturing, Service, Retail, Software, Banking and Finance, Sports, Pharmaceutical, Aerospace, etc.
- Design and develop deployment strategies for the analytical models developed.
- Demonstrate data visualization and storytelling through data.
- Understand Interpretable and Explainable AI model.
- Demonstrate Hands-on experience with software such as Microsoft Excel, Python, SPSS, R, Rattle, Tableau, Tensor flow and other proprietary software.
- Demonstrate Hands-on Julia, Big Data Solutions - Hadoop, Scala, Apache Spark, Microsoft Azure
Target Audience
The course will benefit Executives, Project Leaders and Senior Managers working in various sectors. The course is designed for professionals who would like to improve ROI for their companies' using analytics.
Key Benefits
The Business Analytics and Intelligence Certificate Programme will equip the participants with analytical tools and prepare them for corporate roles in analytics based consulting in Marketing, Operations, Supply Chain Management, Finance, Insurance, and General Management in various industries. The participants will also learn about operationalization of ML models.
Eligibility Criteria
The participants should have a Bachelor degree in Engineering/Science/Commerce/Arts with mathematics as one of the subjects during their Bachelor’s programme. Preferable work experience is 3 years, in exceptional cases applicants with less than 3 years are admitted into the programme.
Selection Process
Short-listed candidates will be interviewed based on their performance on the online aptitude test and past academic performance, quality of work experience, and fit for an analytics position.
Programme Directors
U Dinesh Kumar
Professor - Decision Sciences, Chairperson, Data Centre and Analytics Lab
https://www.iimb.ac.in/user/70/u-dinesh-kumar
Rajluxmi V Murthy
Associate Professor - Decision Sciences
Programme Fee*:
BAI Programme fee is INR 7,75,000 + 18% GST per Participant which is payable in instalments as per schedule indicated below:
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Note :
- The programme fee should be received at the Executive Education Office, before the programme commencement date.
- In case of withdrawls, the fee will be refunded only if a request is received at least 15 days prior to the start of the programme.
- If a nomination is not accepted, the fee will be refunded to the person / organization concerned.
Programme Schedule (Tentative)
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On-campus Classes
The on-campus classes will be held in IIMB campus at Bangalore.
Off-Campus (Online classes)
A limited number of seats are available for online participants. In order to be eligible, the candidates must be residing outside of Bangalore. The candidates from SAARC countries and other neighbouring countries in Asia are also encouraged to apply.
Those interested in applying for the online option (Off Campus) must indicate their choice at the time of applying for the programme. It is not possible to change from Off Campus to On Campus mode of delivery after the selection list has been announced.
Online Mode of delivery
The participants who opt for online classes have to come to the campus for the on-campus sessions along with the other participants of the programme. The classes are streamed via Internet to the desktop or laptop of the participant.
The Infrastructure at the Remote end
The participants who sign up for the online classes have to invest in the following hardware / software:
- A Windows PC with a minimum of quad-core processor
- Windows 8.0 or higher OS
- Internet Explorer
- A PC that is free from virus
- A high-speed internet connection ( 2 Mbps or higher ) – It has to be a DSL connection. Wireless Broadband can be used but only as a backup to a regular DSL line.
- The PC and the broadband must be powered by an UPS or Inverter that has a minimum of 4-hours of backup support. (only indicative. If the power supply in your area is notoriously bad, you might think of investing in an inverter of higher capacity that supports 9-10 hours backup for powering a PC and Broadband Modem).
- And finally a quiet room with a table and chair. It is preferable that you have a 16” / 32”/ 42” Monitor to display the classroom video.
If you do not meet this infrastructure requirement, we strongly discourage you to apply for online classes.
IIMB Executive Education reserves the right to reject the candidature of an online applicant if the bandwidth tests reveal that the infrastructure at the remote end falls short of requirements.
How to apply?
- Please logon to http://iimberpsrv.iimb.ernet.in/prod/sfeep.home for registering and applying online
- The programme is listed under the “Long Duration Programme” Tab.
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Do feel free to get back to us if you should have any clarification.
Phone: +91-80-26993380; +91-89512 81611
Email: aditi.chaturvedi@iimb.ac.in
Sample Certificate
Certificate will be awarded upon successful completion of the programme.
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Note: Certificate image is for reference to potential participants only and may change at the discretion of Executive Education Programmes Office.
Contact Us
Do feel free to get back to us if you should have any clarification.
Contact details:
Ms. Aditi Chaturvedi
Landline No.: +91-80-26993380; Mobile No. +91-89512 81611
Email: aditi.chaturvedi@iimb.ac.in