#1India’s University & Research Institute*
9 Months
Experiential Learning
3Days at
IISc Campus
100%LIVE Interactive Classes

*As per NIRF Ranking 2023

1 Massive Growth Opportunity

Business analysts are in high demand as they support data-driven decisions at all levels of the organization.

"The global Data & Business Analytics Market is expected to cross US$ 420 Bn by 2027."
"India’s data analytics industry is expected to touch US$ 118.7 Bn by 2026."
"The need for business analysts to grow by 14% from 2016 to 2026."
"Business analysts can command an average salary of over ₹16 LPA"

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2 High Impact Format

Interactive Live Sessions With expert faculty from IISc Bangalore
Experiential Learning Supported by LIVE interactive classes and projects
Industry Interaction Mentor support by industry practitioners
Experience the IISc campus One campus visit of 3 days

3 IISc Advantage

IISc (Indian Institute of Science) is the oldest and the finest higher education institute of its kind in India. It pursues excellence in research and education in several fields of Science and Engineering and is one of the first three publicly funded institutes to be awarded the Institute of Eminence status. The alumni of IISc hold significant academic and industry positions around the globe.

IISc's Centre for Continuing Education (CCE) offers the PG level Advanced Certification Course in Business Analytics - a comprehensive course designed for business analysts in research & development (R&D) labs, industries, and research scientists and engineers who aspire to become competent managers in technology-intensive and data-driven organizations. For more information, visit cce.iisc.ac.in

India's #1 University (2016, 2020, 2022, 2023) & Research Institute (2022, 2023)*
#1 Times Higher Education University in India (2020)
2 Bharat Ratna Awardees (1954, 2014)
RUR #62 World Ranking (2020)

*As per NIRF Ranking 2023

About Business Analytics Course

The Post Graduate level Advanced Certification Programme in Business Analytics is an intensive course offered by the Indian Institute of Science (IISc), designed for aspiring business analysts who wish to enhance their knowledge of data analysis techniques and decision-making skills. This Business Analytics course is certified by IISc and aims to provide comprehensive training to participants in the areas of statistical modeling, data management, visualization, and more. The programme is delivered online and is ideal for working professionals seeking to advance their careers in the field of data analysis. Upon completion of the programme, participants will receive a Business Analytics certification from IISc and will have access to placement assistance from TalentSprint to secure job opportunities in top organizations. Join this post graduate Business Analyst course and take the first step towards a successful career in Business Analytics.

Business Analytics Course Curriculum

The Business Analytics course curriculum Designed by IISc Faculty, this state-of-the-art curriculum includes a range of topics essential for aspiring business analysts.

Module 0: Probability and Applied Statistics
- Probability Basics: Interpretation, Probability Space, Combinatorial Probability, Conditional Probability, Probability Laws
- Random Variables: Discrete & Continuous RV, PMF, CDF, PDF, Moments, Quantiles, Joint, Marginal and Conditional Distributions of Random Vectors, Definitions of Correlation & Regression
- Probability Models: Binomial, Poisson, Pascal, Hypergeometric, Uniform, Normal, Gamma & Beta Distributions
- Statistics Essentials: Estimation, Hypothesis Testing, Prediction, The Frequentist & Bayesian Paradigms Elementary Statistical Methods using R: One & Two Sample Problems for Mean, Variance & Proportions - Z, χ2, t & F-tests in R
- Correlation & Regression Analysis using R: Simple & Multiple Regression, Variable Selection, Simple, Multiple & Partial Correlation Coefficients, General Linear Hypothesis Testing, Prediction, Qualitative Predictors
Module 1: Machine Learning
- Nature of Problems Solved Using ML: Prediction & Learning, Supervised versus Unsupervised Learning, Model Complexity & Regularization, Training versus Test Errors
- Classification & Regression using Python: Nearest Neighbours, Logistic Regression, Feed Forward Networks, Regression & Classification Trees, Random Forests, Discriminant Analysis, Support Vector Machines
- Unsupervised Learning using Python: Cluster Analysis, Principal Component Analysis, Independent Component Analysis, Multidimensional Scaling
- Text & Graph Analytics in Python: Latent Dirichlet Allocation, Graph Neural Networks
Module 2: Prescriptive Analytics
- Linear & Integer Programming, Optimization of Network Models, Heuristic Programming, Dynamic Programming, Goal Programming, Multi-Attribute Decision Making
Module 3: Management Functional Area Applications
- Financial Analytics: Time Series Analysis, Security Analysis & Portfolio Management
- Marketing Analytics: Market Basket Analysis, Customer Segmentation, Consumer Choice Analysis
- Operations Analytics: Survival Analysis, Two Operations Analytics Case Studies
- HRM Analytics: HRM Data and Metrics, Two HRM Analytics Case Studies

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Transformative Pedagogy

High-impact format perfected to transform professionals

9-Month
Programme
Best-in-class self-learning content, projects, and industry interaction
One campus visit of 3 days, Bangalore
Live interactive sessions
by IISc Faculty

Participant Profile

From Top organizations

Accenture
Adobe
Amazon
Axis Bank
Bangalore University
Bank of Baroda
BHEL
Coforge
Continental Automotive
FCI
Fidelity International
General Electric
Hanon Systems
Hitachi
Husqvarna Group
IDBI Bank
Indegene
Infosys
ICAR IIR
JDA Software
Kellton
Lion
Little Mind Chats
MAAAK Advisory Services
Medclin Research
Oracle
Synechron
TruSpeQ
Vodafone
Walmart

From Across Indian Cities and International Locations

Bengaluru
Chennai
Chikodi
Delhi
Eluru
Greater Noida
Guntur
Gurgaon
Kottayam
Hyderabad
Mariani
Mumbai
Patna
Pune
Surat
Jeddah
Sydney

Find out why professionals want to join the program

"I want to polish my two and half decades of professional experience in corporate finance with contemporary subjects involving interpretation and analysis of business functions in practice." Managing Partner, Financial Services
"Being a core part of the operations team, I am familiar with the challenges the production team faces in managing and visualising massive data sets. This programme will help me prepare to cater to such demands." Senior Project Manager at a life sciences commercialization company
"I would like to further improve my analytics knowledge and its real-life use cases across industries. The academic learning and interactions with experienced faculty and like-minded professionals from varied backgrounds will significantly expand my perspective." Self-employed Consultant

"I believe this programme will provide me with the knowledge and the connections that I will need to continue to do meaningful work in this much-needed field of sustainability. It will enhance my business acumen and my way of viewing the world through complex data." Founder and President at a non-profit organisation
"My obsession with numbers and data is a never-ending love that encouraged me to pursue this programme. I would like to move into advanced analytics such as forecasting and prescriptive analytics and build machine learning models for the same." Data Analyst in the supply chain management space
"I need to learn about machine learning and statistics and how they can help transform business data and provide better insights. I expect to gain knowledge to help me keep my career path aligned with current advancements and advance in the right direction." Data Analyst at a technology company

"The programme's curriculum looks promising, and I think it will take my current techno-functional and analytical knowledge to a higher level." Consultant at a software company
"This programme can enhance my suitability for future roles as things are moving towards an analytical approach in all domains. Moreover, it can allow me to learn a few new tools related to data handling/ operations, which will be a valuable addition." Deputy Manager at a business conglomerate
"From the experiences gained, I realised that data is the Future. I would like to learn business analytics from the mentors and be future-ready." Assistant Manager

Faculty

Taught by eminent IISc Faculty Group

Prof. Chiranjit Mukhopadhyay

Professor, Department of Management Studies, IISc

Research Expertise: Bayesian Statistics, ‪Empirical Finance, Reliability and Survival Analysis, Statistical Computing, Statistical Quality Control, Machine Learning‬, ‪Financial Econometrics

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Prof. M Mathirajan

Chief Research Scientist, Department of Management Studies, IISc

Research Expertise: Development & Evaluation of Mathematical & Heuristic Optimization in Industrial Engineering, Operations Management, Supply Chain Management, Scheduling, Container Terminal Management, Research Methodology Problems

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Prof. Parthasarathy Ramachandran

Professor & Chairman, Department of Management Studies, IISc

Research Expertise: Demand Management of Scarce Resources, Revenue Management, Discrete Optimization

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Prof. Shashi Jain

Assistant Professor, Department of Management Studies, IISc

Research Expertise: Investment Decisions related to Energy & Environmental Sectors, Real options, Computational Finance, Monte Carlo Methods for Derivate Pricing, Financial Risk Management

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Is this Business Analytics program
ideal for me?

The programme is best suited, if you want to

Take your current techno-functional and analytical knowledge to next level.
Gain advanced knowledge of statistical methods and their application to solve real-world business problems.
Build Proficiency in data analysis to analyze large datasets using tools like R, Python,Numpy, Pandas, Sci-Py, ScikitLearn,Statsmodels, and matplotlib.
Develop management functional applications using business analytics to share insights on specific functional areas.
Acquire data-driven decision-making skills to make informed decisions that drive business growth.
Develop skills for presenting data and insights to stakeholders.
Get an opportunity to network with like-minded individuals and industry experts, opening up avenues for collaboration and future growth.

Eligibility

Qualification: B.E/B.Tech/M.E/M.Tech or equivalent master's degree
Marks: Minimum 50% marks in Degree
Experience: Minimum 2 years

Frequently Asked Questions

Business analytics is a powerful capability leveraged by startups, medium-scale, and large enterprises. A survey by MicroStrategy cited that, using data, 60%* companies globally have been able to boost process and cost efficiency. Some (57%) were able to drive strategy and change. A few others (52%) improved their financial performance.

The research predicted that, over the next 3 - 4 few years, 71% of global enterprises would be seen making heavy investments in analytics.

Across sectors, organisations generate a considerable amount of data, which has further heightened the need for data-literate professionals who can analyse that information to derive insights.

According to the Bureau of Labor Statistics, by 2026, the demand for business analysts is expected to grow by 14%. Further, the global Data & Business Analytics Market is expected to cross US$ 420 Bn by 2027, triggering the need among professionals to enhance their capabilities.

In light of these facts and trends, for professionals, expertise in business analytics could be a way to advance their careers and contribute to organisational growth. The PG Level Advanced Certification Programme in Business Analytics by IISc helps professionals build relevant capabilities and capitalise on these potential growth avenues.

* https://www.forbes.com/sites/louiscolumbus/2018/08/08/global-state-of-enterprise-analytics-2018/?sh=6745ff756361
https://www.bls.gov/ooh/business-and-financial/management-analysts.htm

The PG Level Advanced Certification Programme in Business Analytics by IISc, in association with TalentSprint, prepares professionals to leverage the power of data to drive business growth.

IISc Edge: Get certified by IISc, India’s #1 University & Research Institute*
High Impact Format: Leverage the distinctive pedagogy of LIVE online sessions, projects, industry interaction, and campus immersion.
Accomplished Faculty: Curriculum taught by an accomplished faculty group with acknowledged research experience and academic credentials from premier institutions worldwide.
Mentor Support: Opportunity for direct interaction with industry experts and practitioners
Experiential Learning with iPearl: Attend live sessions on iPearl.ai -an award-winning AI-powered learning platform.

*As per NIRF Ranking 2023

You will learn to harness the power of data and gain a competitive advantage in a data-centric business landscape.
Expertise in business analytics can help you effectively lead organisational change and initiate innovation and growth.
Fastest Growing Demand: The demand for business analysts will continue to increase by 11% till 2029, faster than the average for all other occupations. (US Bureau of Labor Statistics)
Lucrative Career: Business Analyst is ranked among LinkedIn’s Most In-Demand Jobs Right Now (2022). Also, top companies are on the constant lookout for hiring Business Analysts. For instance - Accenture, TCS, Dell Technologies, Cognizant Technologies, Deloitte, IBM, Capgemini, Amazon, Infosys, Wipro, American Express, Oracle, VMware, and more. This can be a perfect opportunity for those looking for a career transition.

The programme is helpful for professionals who are

Passionate about leveraging data to solve real business problems
Aspiring to build or transition into Business Analytics as a career
Appreciate the value of learning from the best in the world

You will learn from eminent IISc faculty who hold academic and research credentials from the world’s best institutions. Meet your faculty here.

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Leverage the Power of
Data to Drive Business Growth

Post Graduate level Advanced Certification Course in
Business Analytics

1 Massive Growth Opportunity

2 High Impact Format

3 IISc Advantage

About Business Analytics Course

Business Analytics Course Curriculum

Module 0: Probability and Applied Statistics

Module 1: Machine Learning

Module 2: Prescriptive Analytics

Module 3: Management Functional Area Applications

Transformative Pedagogy

High-impact format perfected to transform professionals

What is the return on my investment?