Frequently Asked Questions

Most Frequently Asked Questions

The programme equips professionals with both academic, research insights coupled with practical knowledge and helps navigate the fast-evolving world of Data Science and allied areas. You will also earn an Executive Programme Certificate from IISc.
You will learn from the leading faculty of IISc and work on interesting use-cases and research projects.
Network and associate with current and future Data Science practitioners.


Given the current crisis due to Covid-19, we understand that participants may have a challenge with cash flows. In order to enhance the programme fee payment flexibility, we have increased the tenure of our interest-free (0% EMI) loans. As a result of this, your financial burden gets reduced. You may contact your Relationship Manager for more details.

You will need the following infrastructure to access our platform:

  1. Device: A Desktop/Laptop/Tablet/Smartphone with camera and mic.
  2. Internet: A regular broadband/wifi connection or a mobile 4G connection

Note: Proctored online assessments can be taken only on a Desktop/Laptop with a web camera and mic (not allowed on tablets/smartphones).

Groups can conveniently connect among themselves at an appointed time for group work, outside the online classes. This feature comes in handy during group activities and projects.
Students can also use the platform 24 x 7 to engage and learn from their peers using our interactive discussion forums available under each course of the programme.
Our platform also has the provision of group-specific discussion forums for offline discussion among the group members.

Our recorded videos have AI-generated Table of Content (TOC) to help easy and smart navigation within the videos. Students can click on the items under TOC to directly jump to the relevant section in a video. Video archives also have a Phrase Cloud of keywords/phrases used in the video. Students can click on a particular keyword/phrase to find yellow markers, indicating the points where the selected keyword/phrase was covered on the video timeline.

Selection Process

IISc conducts the selection process for the programme. Candidates will be selected based on the details of education, work experience and a statement of purpose submitted by you along with your application.

Candidates must have completed their graduation or post graduation with at least 50% marks and minimum of 1 year work experience. In addition, programming knowledge is required.

Programme Fee

Participants who are not holding an Indian Passport or are not residing in India will be considered as an International Participant.

Yes, the programme fee can be paid in interest-free instalments. Please reach out to your RM to know about the details of the schemes available.

The programme fee for Advanced Programme in Computational Data Science is ₹4,00,000 + GST (Scholarships are available). For EMI details, visit Fee Page.

No, the application fee is non-refundable.

No, the total programme fee is non-refundable.

Building deep-tech expertise is an absolute necessity for professionals in this fast-changing world that is constantly disrupted by technology.

Professionals have multiple options for funding.

  1. Sponsored by employer
  2. Self-funded

Based on our experience in enabling 3000 professionals who have participated in our executive programs, self-funding seemed to be the most preferred option with over 80% choosing this.

Three key reasons why professionals opt for it:

  1. Freedom: To opt for a program of their choice, at a time of their choice, with an institution of their choice and not be restrained by organisation’s policy.
  2. Flexibility: To pursue greater career opportunities well even beyond their current employer or to nurture their entrepreneurial ambitions.
  3. Funding: Access to flexible EMI schemes (Paying as low as Rs. 5,550 per lac per month).

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


Module 0
  1. Google Colab
  2. Git
  3. Python
    • Matplotlib
    • Numpy
    • Pandas
  4. Basic mathematics
  5. Basic data visualization
  6. Website building
  7. App sandbox
  8. Introduce the data stories module
Module 1: Computational Data Science in Practice
  • Introduction
    1. What is data science?
    2. What is computational data science?
    3. Examples from different fields
  • Computational Science:
    1. Computation for Data Science
      • Behind the scenes of data science python modules, e.g., how does numpy broadcast and do computations fast
      • Parallel programming ideas behind data science routines
    2. GPU Revolution
      • GPU computing for Machine Learning, Data Science and Artificial Intelligence
    3. Hardware Evaluation for Data Science
      • Performance vs cost
      • Enterprise decision on cloud vs servers
  • A view of the Practice
  • Business Analytics
Module 2: Mathematics of Data Science
  • Probability and Statistics, Bayesian
  • Computational Linear Algebra
  • Computational Methods in Data Science
  • Optimization: The backbone of ML
Mini-Project 1 Python assignments through this term
Module 3: Data Engineering
  • Introduction to Big Data storage systems
    1. Relational Databases
    2. NoSQL Databases: HBase, Graph DB
    3. Distributed File Systems/HDFS
    4. Cloud storage
  • Introduction to Big Data processing platforms
    1. Data Volume: Hadoop, Spark
    2. Data Velocity: Storm, Complex Event Processing
    3. Cloud platforms
  • Deep dive into Apache Spark
    1. Resilient Distributed Dataset
    2. Transformations, Actions
    3. Designing computational and analytics application using Spark
    4. Hands on with PySpark programming
Mini-Project 2 Project exercise in pyspark
Module 4
  • Machine Learning
    1. Classification and Regression
      • Regression with regularization
      • Logistic Regression
      • Support Vector Machines
    2. Random Trees and Ensemble Methods
      • Classification trees
      • Ensemble methods
    3. Dimensionality Reduction
    4. Reinforcement Learning
      • MDP
      • Q-learning
Module 5 Neural Networks
  1. Multi Layer Perceptrons
  2. Convolutional Neural Networks
  3. Recurrent Neural Network
  4. Auto Encoder
  5. Generative Adversarial Network
  6. Graph Neural Networks
  7. Applications
Mini-Project 3 Project exercise in ML and NN
Module 6 Business Analytics
  1. Time Series Analysis
  2. Spreadsheet Exercises
  3. Data and Models for Econometric Analysis
  4. How analytics can transform business?
  5. How to explain statistics as a consultant to clients?
Mini-Project 4 Business Analytics Project/Hands-On
Additional Activities Case Studies
Data Stories

Schedule and Details

The online sessions will be held during the weekends, Saturdays & Sundays.

The programme will be delivered through faculty-led interactive live sessions on TalentSprint’s

All reading material (pre/post session) will be shared regularly through the Online Learning Management System.

Programme will commence in March 2022.

The total duration of the programme is 12 months.

A certificate of successful completion is provided upon completion of all requirements of the programme. All examinations and evaluations related to the certification are carried out by IISc Bangalore.

The batch will consist of 50 participants.

All sessions are conducted by IISc Bangalore faculty. Industry experts may be invited for sharing their valuable experience.

Career Accelerator

Program participants of all the DeepTech programs by TalentSprint are eligible to join the Career Accelerator.

Our Career Support platform will provide you the resources to help you showcase your professional profile with certification and capstone project experience on TalentSprint Alumni Network, LinkedIn, GitHub, Kaggle, among other platforms.

After the successful completion of your cohort of the program, you will get priority access to career opportunities in the industry through an exclusive Alumni portal. This will include internal job postings, job opportunities notifications shared by your peers, and personalized mentorship based on industry and experience.

Guidance on building a compelling professional profile with a DeepTech edge on various platforms., interview preparation and more.

Program participants can apply for startup mentorship. If selected, they get mentorship from experts and like-minded professionals.

You will find openings from leading global companies and exciting startups and others within the Career Accelerator.

No, TalentSprint will not be conducting placement drives. However you will get access to job opportunities and right guidance to help you in getting selected.

Career opportunities are updated as and when a program alumni posts it or when there is a suitable opportunity through our wide industry, alumni and peer network.

You get inputs from the alumni and peer network.

Yes, they can always update their profile at TalentSprint's alumni page. In case they come across any issues doing that, then our Career Accelerator Executive will be happy to help.

With TalentSprint's exclusive DeepTech community, you get a chance to network with industry peers and peers from different programs of TalentSprint. You get to find complementing synergies of common interests and learn about market developments and opportunities. Plus, you can get exclusive invitations for the DeepTalk Interactive Series, where leaders discuss all things DeepTech.

No, this is an exclusive initiative of TalentSprint and not connected with our partner institutions.

About the Platform

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

Yes, minimum 75% attendance is mandatory for the programme. To complete the programme you need to complete and submit all program submissions that may be due at your end.

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

All participants are required to execute, before the start of the program, an agreement that consists of the standard Program 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: Program Fee, Refund and Termination Policy


IISc (Indian Institute of Science) is India's foremost academic institution for the pursuit of excellence in higher education & research. It offers world-class education in science, engineering, design, and management. IISc became a deemed university in 1958. It is one of the first six institutes to be awarded the Institute of Eminence status. The alumni of this Institute hold significant academic and industry positions around the globe. For more information visit

TalentSprint, a National Stock Exchange (NSE) Group Company, brings transformational high-end and deep-tech learning programs to emerging and experienced professionals in partnership with top academic institutions and global corporations. Its patent-pending, AI-powered, digital learning platform enables a perfect blend of high-end academics and industry-leading practitioner experience. Its programs have consistently seen a high engagement rate and customer delight. For more information, visit