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.

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

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 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.

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

You are eligible if you have

• Best suited for professionals having a minimum 2 years of work experience
• Must have B.E/B.Tech/M.E/M.Tech or equivalent master's degree with minimum 50% marks
• Prior coding knowledge is not required

The programme will be delivered in an interactive online format, retaining effectiveness. The format uniquely combines the benefits of an in-class programme with the flexibility and safety of online learning.

• Synchronous programme delivery by expert faculty
• Interact and get doubts answered by faculty
• Peer learning through working in groups with other participants
• Support from mentors for projects
• Re-attend classes through recorded archives
• Access videos easily with searchable and indexed video archives
• Learn from the comfort and safety of your home
• Office hours with one-on-one mentor support

Your peer group will include diverse tech professionals coming from a plethora of industries, who are extremely passionate about Business Analytics and looking to use the power of data to drive organizational growth.

This is an expertise-building programme for experienced professionals. You will obtain a certification from the Centre for Continuing Education (CCE) - IISc, the India’s #1 University and #1 Research Institute.

A certificate of successful completion is provided upon completion of all programme requirements. All examinations and evaluations related to the certification are carried out by the Centre for Continuing Education (CCE), IISc.

The programme format with LIVE Interactive Sessions, Projects, Industry Interaction, and Campus immersion enables a conducive environment to network with your peers in the cohort. In addition, most participants can continue to network even after the cohort by using the alumni portal.

As an institution of national importance, IISc was recognised as an Institution of Eminence (IoE) by the Government of India in 2018 and has been consistently ranked among the top Indian institutions in world university rankings. Hence this is a fully approved certification programme offered through IISc.

All participants must execute, before the start of the program, an agreement that consists of the standard programme Terms and Conditions. It has the following components:

Part A: Etiquette and Platform Rights
Classroom Etiquette & General Policy Guidelines
Tools and Platforms in Use
Tools and Platforms: Terms of Use

Part B: Honor Code

Part C: Certification

Part D: Programme Fee, Refund, and Termination Policy

Candidates will be selected based on their education, work experience, and a statement of purpose submitted along with the application.

A Relationship Manager will be assigned to the applicant, who will gather all the necessary information and represent their candidature to the selection committee for review. The profiles will be sent to IISc for selection.

Join in these easy steps:

• Share your details and apply for the programme
• Submit all the necessary documents
• The programme selection committee will evaluate your candidature
• Upon selection, complete your enrolment and join the programme

Module 1: Probability and Applied Statistics

1. Probability Basics: Interpretation, Probability Space, Combinatorial Probability, Conditional Probability, Probability Laws
2. Random Variables: Discrete & Continuous RV, PMF, CDF, PDF, Moments, Quantiles, Joint, Marginal and Conditional Distributions of Random Vectors, Definitions of Correlation & Regression
3. Probability Models: Binomial, Poisson, Pascal, Hypergeometric, Uniform, Normal, Gamma & Beta Distributions
4. Statistics Essentials: Estimation, Hypothesis Testing, Prediction, The Frequentist & Bayesian Paradigms
5. Elementary Statistical Methods using R: One & Two Sample Problems for Mean, Variance & Proportions - Z, χ2, t & F-tests in R
6. Correlation & Regression Analysis using R: Simple & Multiple Regression, Variable Selection, Simple, Multiple & Partial Correlation Coefficients, General Linear Hypothesis Testing, Prediction, Qualitative Predictors

Module 2: Machine Learning

1. Nature of Problems Solved Using ML: Prediction & Learning, Supervised versus Unsupervised Learning, Model Complexity & Regularization, Training versus Test Errors
2. Classification & Regression using Python: Nearest Neighbours, Logistic Regression, Feed Forward Networks, Regression & Classification Trees, Random Forests, Discriminant Analysis, Support Vector Machines
3. Unsupervised Learning using Python: Cluster Analysis, Principal Component Analysis, Independent Component Analysis, Multidimensional Scaling
4. Text & Graph Analytics in Python: - Latent Dirichlet Allocation, Graph Neural Networks

Module 3: Prescriptive Analytics

1. Linear & Integer Programming, Optimization of Network Models, Heuristic Programming, Dynamic Programming, Goal Programming, Multi-Attribute Decision Making

Module 4: Management Functional Area Applications

1. Financial Analytics: Time Series Analysis, Security Analysis & Portfolio Management
2. Marketing Analytics: Market Basket Analysis, Customer Segmentation, Consumer Choice Analysis
3. Operations Analytics: Survival Analysis, Two Operations Analytics Case Studies
4. HRM Analytics: HRM Data and Metrics, Two HRM Analytics Case Studies

Group Projects

The programme commences in August 2024

It's a 9-month executive programme.

The programme includes

• Live interactive sessions by IISc Faculty
• Three days of campus visit at IISc Bangalore
• Best-in-class self-learning content, projects, and industry interaction

The programme will be delivered through faculty-led interactive live sessions on TalentSprint’s ipearl.ai. These online sessions will be held at a schedule convenient for working professionals. Participants will be able to interact with the faculty through video, audio, and chat. They will also be able to chat with fellow participants of the programme during online sessions.

As per the programme norms, participants have to maintain at least 75% of attendance during the programme. Going by the curriculum, it is recommended that participants maintain attendance for enriched learning. In the event of unavoidable circumstances, if any, one can access the recorded lectures on our platform to cover up for the missed sessions.

The programme includes continuous formative and summative assessments. The final scores will be determined based on the sum of the scores of various assessments.

Yes, participants are required to have their laptops.

Reading material (pre/post session) will be shared regularly through the Online Learning Management System. The access will be available for 9 Months from the date of the commencement of the programme.

A certificate of successful completion is provided upon completion of all requirements of the programme. IISc carries out all examinations and evaluations related to the certification.

For programme fee-related details, please visit Fee page. You can also contact programme RM Anuja Oruganti to know more.

Flexible EMI options enable you to pay the programme fee in instalments. Please reach out to your RM to know more about the schemes available.

Yes. For scholarship-related details, please visit fee page. You can also reach out to your RM for more details.

No, the application fee is non-refundable.

No. The programme fee is non-refundable and non-transferable under any circumstances.

Professionals have multiple options for funding.

• Sponsored by employer
• Self-funded: Based on our experience of enabling 3000+ professionals who have participated in our executive programs, self-funding is the most preferred option, with over 80% choosing this.

Three key reasons why professionals opt for it:

• Freedom: To opt for a programme of their choice, at a time of their choice, with an institution of their choice and not be restrained by the organisation’s policy.
• Flexibility: To pursue greater career opportunities well even beyond their current employer or to nurture their entrepreneurial ambitions.
• Funding: Access to flexible EMI schemes (paying as low as ₹17,040 per month)

We have also observed that the commitment levels were higher among self-funding participants.

iPearl.ai (Interactive Platform for Experiential and Remote Learning) is created by TalentSprint’s engineering team led by its Chief Technology Officer, an IIT Kanpur alumni. The platform integrates best-in-class open-source technologies and SaaS services and perfected them over the last seven years.

When this platform was built, the objective was to offer it to TalentSprint’s partners and customers for digital learning and delivery. Since 2013, the platform has been extensively used by IIM Calcutta, IIT Kanpur, IIIT Hyderabad, IIT Hyderabad, and many more of our customers and partners. More than 300,000 students have used this platform, which is reputed for user experience, quality, and scale.

This feature-rich platform has become so popular that some partners now use it for their academic needs.

The tried and tested direct-to-device platform enables 24 x 7 learning for its users. Some key benefits of the platform are:

• Intuitive student experience through a user-friendly LMS
• Seamless faculty experience through state-of-the-art Studios
• Highly Interactive Online Classes
• Effective group/peer learning/projects through Breakout Rooms
• Proctored Online Assessments with detailed analysis
• Insightful Reports on student engagement and performance
• Flexible integration with other components, as needed

A comparative study of iPearl.ai against Canvas, Impartus, Moodle, Google Classroom, Microsoft Teams, and Zoom was conducted. Features in the following categories were compared:

• Instructor-led Learning
• Self-paced Learning
• Assessments/Evaluations
• User Experience
• Customer Support
• Scalability and Performance
• Integration and Customization
• Others

Do not worry. In case you miss a session, you will be given access to view the recorded version of the session soon.

• An internet-connected device, Computer/Laptop/Tablet/Smartphone, is enough to access the platform.
• A web camera and Mic with necessary power backup will be needed for proctored online assessments.

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. It 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 https://www.iisc.ac.in

The programme will be delivered by IISc’s Centre for Continuing Education (CCE). CCE offers courses suitably designed to meet the requirements of target groups: Research & Development (R&D) Laboratories and Industries, and Research Scientists/Engineers, to enable them to grow into competent managers of technology-intensive and data-driven organisations. For more information, visit http://cce.iisc.ac.in