IIM Bangalore - Executive Education

Programme on Data Science & AI (DSAI) – Batch 5

IIM Bangalore - Executive Education

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About Programme

Artificial Intelligence, Machine Learning, Big Data and Natural Language Processing form the pillars of the emerging discipline of data science. Managers who lead data science teams are required to possess a sound understanding of the underlying technologies. More importantly, they must also be able to communicate the strategic benefits of their efforts to stakeholders. The field of information systems provides the appropriate frameworks to build the business case for data science initiatives, and to analyse the shifts brought about by its application.

The Programme on Data Science & AI from IIM Bangalore will empower managers and other professionals to draw from the frameworks of data science and information systems, and guide their organizations along a forward-looking trajectory.

Programme Content

Module Zero: Foundations (7 weeks)
A strong knowledge of statistics is considered foundational to Data Science. Completing Module 0 is a prerequisite to proceed to any of the other modules. It is designed to strengthen the participant’s foundations in statistics, linear algebra and programming. Participants will first be brought up to speed on Python programming with the help of extensive tutorials. To kick off the programme, we invite the participants to IIMB’s digital classroom for 3 days, followed by two Massive Open Online Courses (MOOCs) for 3 weeks and the last 3 days for case-based learning.
Python tutorial
Descriptive statistics – variables and their visualisation, probability
Random variables, binomial, Poisson and normal distributions
Sampling, confidence intervals and parameter estimation
Statistics for Business 1 – spreadsheet-driven elaboration of descriptive statistics and probability; decision-making with Bayesian logic
Statistics for Business 2 – R programming with a business use case, random variables, binomial, Poisson and normal distributions
Inferential statistics – hypothesis testing framework, ANOVA, chi-squared tests
Forecasting with time series
Linear algebra and geometry
The final stage is an online assessment, covering the two MOOC courses and other topics of Module Zero. Depending on the outcome, suggestions will be made regarding areas of improvement.
Module One: Machine Learning (9 weeks)
The machine learning landscape
Machine learning in practice
Supervised models: Regression and classification
Decision trees and random forests
Support vector machines
Dimension reduction and PCA
Unsupervised models: clustering
Machine learning at scale
Cases: Mission Hospital (IIMB), Lead Generation at Eureka Forbes, Commonwealth Bank
Industry Talks: Entrepreneurs who have built ML firms
Module Two: Big Data (9 weeks)
Tectonic movements in the landscape of data
Volume: Structured data, Big Query, cloud computing
The MapReduce construct, Hadoop
Spark with Scala and Python – business applications
Variety: Network analysis
Velocity: Streaming applications
Operational excellence, supply chain management
The IoT movement, Industry 4.0
Veracity: The case of Cambridge Analytica
Cases: Customer Analytics at BigBasket (IIMB), 1920 Evil Returns (IIMB), Fiesta Gifts
Industry Talks: Speakers from Amazon, Google & Microsoft, Target, etc.
Industry Talks: Big data in Government, Healthcare, Marketing
Module Three: AI & Deep Learning (9 weeks)
The AI Landscape
Biological origins
Historical perspective
Optimisation and search
Single and multi-layer networks
The TensorFlow platform
CNNs and RNNs
Natural language processing
Generative Adversarial Networks
Reinforcement learning
Genetic algorithms, ant colony optimisation
Artificial life systems
The Future of AI
Cases: Tailored Brands, Intenseye, Distinct Software, Picking the Best Path, Edge Networks (IIMB)
Industry Talk: Speakers from AIndra, Google and Microsoft
Module Four: Natural Processing Language (7 weeks)
The NLP Landscape
NLTK and spaCy libraries
Language models
Sentence Classification
Word & document embedding
Information extraction
Chatbots
Social Media
Applications to E-Commerce & Retail
Applications to Healthcare, Finance & Law
Attention, transformers, BERT
NLP at scale with Spark
Industry speakers from Healthcare
Cases: Cogent Labs
Project (3 weeks)
Upon successful completion of all 4 modules, the participants can work on a live project. Please see the brochure for more details.

Programme Objective

This certificate series in data science exposes the participants to a large set of frameworks and technologies, and prepare them for data-intensive roles in retail, healthcare, marketing, supply chain management, finance, insurance and other industry sectors. The modules in the programme are suitable for managers who wish to develop a programming-oriented appreciation for their individual domains. Projects drawn from their own workplace settings will help them with the assimilation of the topics. By attending and completing the requirements of the Programme on DS & AI, the participant will learn how to:

Develop a business perspective of the dynamic discipline of data science
Gain a foundational understanding of the four pillars of data science: AI, ML, Big Data and NLP
Solve computational problems using a personal laptop as well as a cluster
Construct a business proposal for a data science initiative
Identify ways in which organizations can inculcate a culture of data driven decision making

Alumni Benefits

The participants become IIMB EEP alumni on successful completion of the programme and thereby gain access to the alumni network across various industry sectors.

Programme Audience

Participants should have a Bachelors degree (in any stream) with mathematics as one of the core subjects.
At least 3 years of work experience is preferred. Given that programming is critical to developing a working understanding of data science, we prefer participants with strong coding skills, who are willing to embrace a variety of languages and technology platforms.

Programme Benefits

Develop a business perspective of the dynamic discipline of data science
Gain a foundational understanding of machine learning, big data and AI
Solve computational problems using a personal laptop as well as a cluster
Construct a business proposal for a data science initiative
Identify ways in which organizations can inculcate data-driven decisions
IIMB EEP Alumni Membership after successful completion of the programme

Testimonials

"The Executive Programme on Data Science and AI at IIMB gave me exactly what I was looking for: strong foundations and the confidence to apply them in practice. The Foundation Module set up the statistical and programming fundamentals that everything else rests on. What stood out was that every module, from Big Data and Machine Learning to AI Deep Learning and Natural Language Processing, was built around hands-on problem solving and the latest trends in AI, so concepts became skills rather than slides. The faculty brought strong academic depth, complemented by a diverse lineup of industry speakers who shared real-world cases from across sectors and around the world. The cohort was equally valuable: peers from diverse industries made every discussion richer, and the wonderful IIMB campus made the whole experience memorable. The capstone project brought it all together, letting me solve a range of real business problems end to end. Id recommend this programme to any professional who wants to engage with AI in a structured, credible way and build a future in the field."

Subas Hegde

Senior Staff Technical Program Manager GE HealthCare, Bangalore

"My experience with the programme has been highly positive and enriching. The curriculum is well structured and covers a broad range of topics in Data Science and Artificial Intelligence, combining both theoretical foundations and practical applications. The sessions have been engaging, with faculty members bringing deep expertise and industry perspectives that help connect concepts to real-world business problems.One of the aspects I appreciate most is the balance between academic rigor and hands-on learning. The assignments, case studies, and project work have helped reinforce the concepts and provided opportunities to apply them to practical scenarios. The learning resources and support from the programme team have also contributed significantly to a smooth learning experience.The interactions with peers from diverse professional backgrounds have been valuable, enabling knowledge sharing and different perspectives on solving data-driven challenges. The programme has strengthened my understanding of statistics, machine learning, AI techniques, and their business applications, while also improving my confidence in applying these skills in real-world situations.Overall, I find the DSAI programme to be a well-designed and impactful learning journey. I am grateful for the opportunity to learn from the distinguished faculty and collaborate with a talented cohort of professionals. Thank you to the entire programme team for their efforts in delivering such a high-quality learning experience."

Sudha Venkatareddy

JPMorganChase

"I found this program extremely useful in terms of skill and knowledge gaining, the program went right from Basics of statistics, Mathematics from R, Python, Machine learning, Big data, and AI. The course curriculum helped me understand the concepts in depth which , otherwise, would have been very difficult to cope up. Special thanks to Prof Shankar and Prof Rahul for extending support throughout the program."

Venkat Manjunath.B.S

Assistant Manager-Ops, Big basket, Bangalore

"At my day job I got an opportunity to work on a project based on AI Tech, which meant that I had to upskill in AI. I applied at multiple institutes, but IIMB was my first choice, i.e. if IIMB chose me; I had always aspired to study here. The IIMB journey phenomenal which started back in September 2022. IIMB taught us to never doubt our capabilities. I want to thank the course Directors Professor Shankar Venkatagiri Professor Rahul De for their unwavering support throughout the course. By the end of the course, we got an opportunity to work with an NGO on an NLP based project which deals with Social Emotional Learning of Students. We were able to make a positive impact on the Indian Education System. The content of this course is carefully curated to meet the global standards. It dives deep into the mathematical fundamentals of the subject, which I think is the most important aspect in AI.While at work, my activities are now focused only on Data AI driven projects, which are familiar territories now. I have gained a perspective towards data driven decision making IIMB has given me a lot more confidence in tackling business challenges through data. After this course, my approach to problem solving is a lot more practical, wholistic and mature."

Nishant Kumar

Lead Software Developer - JLL Technologies

Testimonial Source

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Programme on Data Science & AI – Batch 5 | IIM Bangalore