Business Analytics Certification Program | IISC

2. High Impact Format

Interactive Live Sessions With expert faculty from IISc Bangalore
Experiential LearningSupported by LIVE interactive classes and projects
Industry InteractionMentor support by industry practitioners
Campus VisitExperience the IISc Bangalore campus

3. IISc
Edge

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. For more information, visit www.iisc.ac.in

The PG level Advanced Certification Programme in Business Analytics will be delivered by IISc’s Centre for Continuing Education (CCE). CCE delivers courses suitably designed to meet the requirements of various target groups, eg: research & development (R&D) laboratories and industries, research scientists and engineers, to enable them to grow into competent managers of technology-intensive and data-driven organizations. For more information, visit cce.iisc.ac.in

Expert 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

Teaches Applied Statistics, Methodology of Management Research, Time Series Analysis and Forecasting courses at IISc.
Authored and reviewed various research papers and conference proceedings.
Worked as a consultant for leading organisations like Titan, TVS and L&T.
Before IISc, worked as a Visiting Assistant Professor in leading educational institutions across USA and Turkey.

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

Holds over two decades of experience in Management Research / Consultancy and Teaching.
He has also taught at Anna University - India and worked as a Research Fellow at Nanyang Technological University- Singapore and worked as Technical Assistant for the Ministry of Defense, India.
Worked as a Principal Investigator for projects funded by CiSTUP - IISc, Central Power Research Institute, American Power Conversion, DST - Delhi and HP.
Authored over 120 research papers published in reputed journals and conferences.

Prof. Parthasarathy Ramachandran
Professor & Chairman, Department of Management Studies, IISc

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

Authored 30+ research papers and has 60 patents to his credit.
He has also taught at IIT Kanpur.
He is a Mentor and Advisor for Inter-disciplinary Decision Sciences & Analytics Lab, IIM Vishakapatnam.
Member of Research Council (Doctoral Committee), RNSIT - Department of MBA & Research Center, Bengaluru.

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

Before joining IISc, he worked as a Quantitative Analyst for ING - Amsterdam. He also worked as a Software Engineer for Intuit.
His other engagements include working as a Researcher for a few organisations - Centrum Wiskunde & Informatica (CWI) and NRG.
He is also a member of the faculty group, teaching at the Centre for Society and Policy, IISc.
Authored various research papers mainly on topics including Option Pricing, Derivatives, etc.

Curriculum

Designed by IISc Faculty, this state-of-the-art curriculum includes contemporary topics, methods, and recent advances in data science and its applications in the business domain.

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

Detailed Curriculum

Is this programme ideal for me?

The programme is best suited if you

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

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

How can I enrol for this programme?

Apply for the
Programme
Submit
Documents**
Selection by
IISc Committee*
Join the
Programme

*Selection for the programme will be done by IISc and is strictly based on the education, work experience, and motivation of the participants.

**Scanned copies to be submitted within 7 days 1. Education Certificate 2. Experience Letter/Latest Pay Slip

What is the return on my investment?

You will learn to harness the power of data and gain a competitive advantage in a data-centric business landscape. In addition, expertise in business analytics can help you effectively lead organizational change and initiate innovation and growth.

Business Analyst - Ranked⁵ among LinkedIn’s Most In-Demand Jobs Right Now (2022)
Top Companies Hiring⁶ Business Analysts
- Accenture
- TCS
- Dell Technologies
- Cognizant Technologies
- Deloitte
- IBM
- Capgemini
- Amazon
- Infosys
- Wipro
- American Express
- Oracle
- VMware
- Genpact
- J.P.Morgan
- HSBC
Fastest growing demand: The demand for business analysts is projected to increase by 11% until 2029, faster than average for all other occupations. (US Bureau of Labor Statistics)⁷

Programme Fee

Details	9 Months Programme
Programme Fee* With Early Bird Scholarship	~~₹4,00,000~~ ₹3,20,000

12-Month 0% EMI available Nominate your employees to avail special benefits *GST as applicable

(i) Application Fee of ₹2,000, and
(ii) Campus visit fee will be based on actuals and to be borne by the participants
(iii) Fees paid are non-refundable and non-transferable.

Frequently Asked Questions

Why do professionals need to build expertise in business analytics?

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

What is unique about this programme?

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, the World’s #1* Research University
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.

*QS World University Rankings 2023/ Based on metric of Citations per Faculty

What are the programme outcomes?

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.

Who should attend this programme?

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

Who will teach this programme?

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

View all

About TalentSprint

10 Years of
Excellence
200K Empowered
Professionals
95% Completion
Rate
85 Net Promoter
Score

Established in 2010, TalentSprint is a part of NSE group and a global edtech company that brings transformational high-end and deep-tech learning programs to young and experienced professionals. The company’s digital learning platform ipearl.ai offers a hybrid onsite/online experience to seekers of deep technology expertise. TalentSprint partners with top academic institutions and global corporations to create and deliver world class programs, certifications, and outcomes.Its programs have consistently seen a high engagement rate and customer delight. It is a leading Innovation Partner for the National Skill Development Corporation, an arm of the Ministry of Skill Development and Entrepreneurship, Government of India. A recipient of various prestigious accolades, TalentSprint was recently honored with the Indian Achievers Award 2022, for its excellence in building deeptech talent in India. For more information about TalentSprint, visit TalentSprint website.

References :

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Leverage the Power of Data to
Drive Business Growth

Join PG level Advanced Certification Programme in Business Analytics