Computational Data Science Programme by IISc and TalentSprint

Information is the oil of the 21st century, and analytics is the combustion engine

About 95,000 vacancies for Data Scientists exist in India today

Chief Data Officers can increase consistent production of business value by a factor of 2.6X

Data science needs will create roughly 11.5 million job openings by 2026

By 2022, Data Scientists and Analysts will become top emerging roles in the world

Top Data Science Career Opportunities

Data Analyst
Data Engineers
Database Administrator
Data Scientist
Data Architect
Data and Analytics Manager
Business Intelligence Developer
Machine Learning Engineer
Business Analyst
And more

What Data Science can Really do? Learn from IISc Experts

About the Programme

The PG Level Advanced Certification in Computational Data Science enables working professionals to gain practical hands-on experience in solving real-life challenges. The programme will teach participants how to build powerful models to generate actionable insights, necessary for making data-driven decisions.

The 12-month programme will be taught by world class faculty from a global institution and supplemented with industry learnings. It offers a unique 5-step learning process of LIVE online faculty-led interactive sessions, capstone projects, mentorship, case studies and data stories to ensure fast-track learning.

Indian Institute of Science (IISc), with its expertise in multi-disciplinary science, is best positioned to offer the programme on Computational Data Science. Delivered in association with TalentSprint, this executive friendly programme is best suited for professionals who are willing to gain an in-depth understanding of the mechanics of working with data and identifying insights.

So far, the programme has witnessed an overwhelming response for its last 4 cohorts, enabling 500+ professionals to build Data Science expertise. The programme is now accepting enrollments for Cohort 5.

About Indian Institute of Science

QS World University
Rankings #1 (2022)*
University (2016, 2020 and 2022)
Research University (2022)
2 Bharat Ratna Awardees
(1954, 2014)
Times Higher Education
#1 University in India (2020)
RUR World
#62 (2020)

IISc (Indian Institute of Science) tops among the oldest and the finest higher education institutes of 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 https://www.iisc.ac.in.

The PG Level Advanced Certification in Computational Data Science 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 http://cce.iisc.ac.in.

*Based on metric of Citations per Faculty

Learn from Leaders

IISc faculty members are an impressive group bearing academic accreditation from premier institutions around the world

Prof. Sashikumaar Ganesan
Ph.D., Computational Mathematics,
OvGU Germany

Chair, Department of Computational and Data Sciences (CDS), Indian Institute of Science (IISc) Bangalore.

Co-Founder, Zenteiq Edtech Private Limited.

He joined the Department of SERC/CDS as an Assistant Professor in 2011. Before joining the Department, he was a Research Associate at Imperial College London and an Alexander-von-Humboldt fellow at WIAS Berlin. His research interests include Finite element analysis, High-Performance Computing, Data-Driven modeling, Cloud Computing, Scientific Machine Learning, AI & MLOps at scale. He also heads Scientific Machine Learning and Operations (STARS) group at CDS.

Prof. Yogesh Simmhan
Data and Computing Systems, Big Data, Internet of Things

Ph.D. Computer Science, Indiana University, USA

Associate Professor in the Department of Computational and Data Sciences, IISc, and previously a Research Faculty at the University of Southern California (USC), Los Angeles, and a Postdoc at Microsoft Research, San Francisco. His research explores abstractions, algorithms and applications on distributed systems. These span Cloud and Edge Computing, Big Data Platforms and Internet of Things (IoT).

Prof. Shashi Jain
Quantitative Finance, Derivative Pricing, Real Option Analysis

PhD Applied Mathematics, TU Delft, Netherlands
BTech and MTech IIT Madras

Assistant Professor at the Department of Management Studies, IISc. Before joining IISc he worked as a Quantitative analyst at ING, Amsterdam. His research interests include quantitative finance, investment decisions related to energy and environmental sectors and Real options.

Prof. Deepak Subramani
Bayesian Learning, ML/AI for Environment Autonomy

Ph.D., Massachusetts Institute of Technology (MIT), USA
B.Tech and M.Tech, IIT Madras
Programme Co-Coordinator

Assistant Professor in the Dept. of Computational and Data Sciences, IISc. His research focuses on ML/AI for Environmental Forecasting, Data-Driven Routing of Autonomous Vehicles, Bayesian Learning and Data Assimilation, Uncertainty Quantification, and Computational Optimization.

Prof. Sundeep Prabhakar Chepuri
Computational Signal Processing, GNN, ML, Statistical Inference

Ph.D. TU Delft, Netherlands

Assistant Professor at the Department of Electrical Communication Engineering, IISc. His research areas include ML, AI, and statistical inference for Data and Network Sciences.

Curriculum

Module 0: Bridge Module

Python
Pandas, Seaborn, Data Munging
Variables, Matrices, Functions, Derivatives
sklearn
TF2, keras
Google Data Studio
Mini-Projects in Data Cleaning, Handing, Python

Module 1: Foundations of Data Science

Probabilistic Description of Events and Data: Probability Axioms, Random Variables, PDF, PMF, Conditional Probabilty, Independence, Expectation, Variance
Statistical Learning, Experiment Design, Confidence Interval and Hypothesis Testing
Bayesian Learning
Univariate and Multivariate Calculus, Norms of Vectors and Functions
Taylor's theorem and Automatic Differentiation
Fundamentals of Linear Algebra Spaces
Machine Learning Tools
Mini-Project in Foundations of Data Science (Bayesian Learning, Data Handling, Probability)

Module 2: Machine Learning

The ML Process: Problem Formulation to Solution
Linear Regression, Bias/Variance, Regularization, Stochastic Gradient Descent
Linear Classification: Logistic Regression, Linear SVM, Classification Metrics (Confusion Matrix)
Nonlinear SVM, Decision Tree
Ensemble Methods: Random Forest, Gradient Boosting
Unsupervised Learning: Clustering, Anomaly Detection
Mini-Projects in Machine Learning Algorithms in Multiple Domains (Rental Business, Healthcare, Banking, NLP, Customer Segmentation)

Module 3: MLOps at Scale

Object-oriented programming (OOP):
1. Inheritance
2. Encapsulation
3. Abstraction
4. Polymorphism
5. OOPs in C++ and Python
6. Applications of OOPs in Data Science
Parallel Architectures: Fundamentals of Parallel computer Memory Architecture, Parallel programming with MPI
Parallel Computing with Accelerators: Parallel programming with OpenMP, Accelerated computing using GPU
Scalable Computing with Python: Numba:
1. Just-In-Time (JIT) compiler for Python
2. Thread and multiprocessing in python Dask for NumPy
3. Pandas and Scikit-Learn
4. Parallel computing with TensorFlow
Introduction to MLOps, Foundations, MLOps for containers, Continuous Integration, Continuous Deployment for ML models, Monitoring and Feedback.
Mini-Projects in Computing for AI/ML (Writing ML packages from scratch, Using OpenMP/MPI)

Module 4: Neural Networks

Fundamentals of Deep Learning
Multi Layer Perceptron - Deep Neural Networks
Training a MLP - Backprop, Optimization Methods, Rules of Thumb
Convolutional Neural Network for Computer Vision
Recurrent Neural Network for Sequential Modeling
Dimensionality Reduction (PCA, SNE), Generative Models (GANs, VAE)
Reinforcement Learning
Mini-Projects in Neural Networks (Computer Vision, Image Analytics, Video Analytics, Financial Analytics, NLP, Reinforcement Learning Stock Trader)

Module 5: Data Engineering

Introduction to Big Data storage systems
Introduction to Big Data processing platforms
Deep Dive into Spark: RDD, Narrow, Wide Transformations
Deep Dive into Spark: Designing, implementing, evaluation and validating computational and analytics application using Spark
Fast Data Processing Platforms: Apache Storm
Mini-Projects in Data Engineering (Process Movie Data using NoSQL Cassandra, Complex Analytics on network intrusion using PySpark, End-to-end, PySpark Analytics on Tweets Data, ML on cloud)

Module 6: Business Analytics: Data Science in Practice

Time Series Models: Time Series for Business and Financial Data
Market Basket Analysis
Portfolio Optimization
Customer Churn Analysis
Data Analytics in Infectious Disease Spread
Mini-Projects in Business Analytics (Market Basket Analysis, Bitcoin Forecasting, Air Quality Forecasting, Customer Churn Analysis)

All modules have colab-based experiments with coding exercises (both full code along and no-hints version)

Capstone Projects (Option to Bring Your Own Project)

Real-time system
for Tweet Analytics
Food Image
Segmentation
Talent Retention and
Attrition Prediction
Identification of Quora question
pairs with the same intent
Stock Market predictions
based on Time Series
Prediction of Client Subscription
to a Bank term Deposit
Direct Retail Marketing efforts based on Customer Segmentation using ML based Clustering techniques
Movie Recommendation
System
Predict the future daily-demand
for a large Logistics Company
Achieving image super-resolution using a Generative Adversarial Network
Determine key factors driving literacy rate in the Indian demography using Predictive Data Analytics
Urban Crime Data Analytics
for safety improvement
Breast Cancer classification from digitized FNA image feature measurements
Exploratory and Predictive Data Analytics using Indian Premier League (IPL) dataset
Anomaly detection in Bearing
Vibration Measurements

Tools

Case Studies

Analyse how industry uses computational data science through real-world use cases

Data Stories

Showcase your data science journey in the programme through various experiments, projects and hackathons in a compelling manner.

Participant Profile

From Diverse Job Roles

Application Development Senior Analyst

Application Development Team Lead

Assistant Audit Officer

Assistant Manager

Assistant Professor

Assistant System Engineer

Associate Engineer

Associate Partner

Associate Software Developer

Business Intelligence Analyst

CTO

Data Analyst

Data And Machine Learning Engineer

Data Engineer

Data Scientist

Database Administrator

Design Engineer

Digital Marketing Strategist Data Analyst

Digital System Architect

Engineer

Engineering Head

Engineering Programme Manager

General Manager

Group Manager

Head of Marketing & Product Development

IOT Architect

Lead Analyst

Lead Engineer

Manager

Php Developer

Principal Process Engineer

Production Specialist

Project Engineer

Project Manager

Research Assistant

Salesforce Developer

Senior Associate

Senior Consultant

Senior Data Analyst

Senior Executive

Senior Financial Associate

Senior Manager

Senior Manager R&D

Senior Software Engineer

Senior Staff Engineer

Senior tech Lead

Senior Technical Leader

Software Engineer

Solution Architech

Sr Application Development Group Manager

Sr Business Analyst

Sr Executive GRC

Staff Data Engineer

Student

System Engineer

Tech Arch Science Manager

Tech Architect

Technical Director

Technical Lead

Technical Specialist

Technical Writer

Technology Analyst

Vice President

Data Scientist

Sr IT Architect

Customer Success Architect

Program Manager

Staff Engineer

Principal Consultant

Director of Engineering

Zonal Training Manager

From Top Organizations

Accenture

Adobe

Amazon

Atkins

Bank Of America

Bharat Electronics

BT Group

Capgemini

Cisco

Citibank

Club Mahindra Holidays

Cognizant

Dassault Systems

DBS Bank

Deutsche Bank

Dr. Reddys Laboratories

DXC Technology

Fidelity Investments

Havells

HCL

Honeywell

HSBC Bank

Huawei

IBM

IDFC FIRST Bank

Infosys

JPMorgan Chase

KPIT Technologies

McDermott International

Mckinsey

Micromax Informatics

Mindtree

Nielsen Holdings

NTT Data

Oracle

Reliance Digital

Renault Nissan Technology

Samsung

SAP

Schneider Electric

Shell India

State Bank of India

Swiggy

Tata Hitachi Construction Machinery

TCS

Virtusa

VISA

VMware

Wells Fargo

Wipro

Tech Mahindra

Epsilon India

Bosch

TVS Motor

Syngene International

ideaForge

Apple

From Across Indian Cities and International Locations

Bangalore

Chennai

Delhi

Faridabad

Hyderabad

Jaipur

Kolhapur

Kolkata

Mumbai

Noida

Patna

Pune

Sambalpur

Vijayawada

Dubai

Hong Kong

Sweden

Singapore

Oman

Lucknow

Find out why professionals want to join the programme

"My motivation of pursuing this program is to accelerate my career in this extremely niche domain where I can apply my IT and mathematical skills to find solution to modern days problems."
- Akhilesh Arya, Consulting

"As a data scientist, my work involves building ML and DL propensity and forecasting models for Credit Cards, Insurance, and Accounts. With this program, I wish to enhance my expertise and also advance my career."
- Ajeetesh Mishra, Insurance Company

"As an HR professional, I want to build a sound understanding of Data Science and apply the same to streamline HR activities at my workplace."
- Ramyasri Murali, IT Solutions

"I believe this programme will help me develop that basic computational approach required to carry out the data analysis and excel in my research field."
- Dr Deshika Kohli, Education

"The Data Science field had always caught my attention during my engineering days coupled with my dream to study at IISc. This opportunity fulfills two of my goals in one go."
- Keshav Singhal, IT & Software

"I was on a career break, preparing for UPSC exams. Now, I am looking forward to getting back to the job, but with additional expertise. Hence joined this programme and firmly believe that I made the right decision."
- Manish S, Consulting

"I have almost 8 years of experience in the quantitative finance industry. My job role involves working on pricing model development and validation and risk management. With this programme, I am looking forward to gaining an application-oriented knowledge of Data Science and use the same at my workplace."
- Hitesh Kapoor, BFSI

"I am currently working on EPM with regards to financial planning and forecasting. Learning Data Science will help me perform efficiently and produce desired outcomes at work."
- Peeyush Khare, Telecommunication

"Although I am working on mainframe, I have keen interest in learning newer technologies and further want to explore career opportunities in the same. Hence joined this programme."
- Parsita Sarkar, BFSI

Note: These are edited versions based on the details submitted by various programme applicants.

Schedule

Interactive Online Classes

Faculty-led Interactive Sessions
Convenient Schedule
Direct to Device

View Details

Classes start in September 2022

1 Campus Visit of 3 Days
Dates will be decided keeping the safety of participants in mind. Fees will be based on actuals.

What should you expect from this Programme?

LearnLearn from Leading IISc Faculty
ReinforceReinforce Learning by Applying Concepts
NetworkNetwork with Current and Future Data Science Practitioners
EarnEarn Executive Programme Certificate from IISc

Eligibility

Education: Bachelors (four years or equivalent) or Masters in Science/Engineering/Management

Work Experience: Minimum 1 Year

Coding Experience: Programming Knowledge Required

Note: Exceptional engineering students and engineering graduates may apply for special selection on a case to case basis.

Enrolment Process

Apply for
Programme
Submit
Details
Await
Selection
Join
Programme

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

Fee

Details	Domestic Participants	International Participants
Programme Fee With Scholarship	~~₹4,00,000~~ ₹3,00,000	~~$6,000~~ $4,500

12-Month 0% EMI availableNominate your Employee to Avail Special BenefitsGST as applicable

Campus visit fee to be borne by participants. Will be based on actuals.
Fee paid is non-refundable and non-transferable.

PARTNERS

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

News

Media Coverage

Frequently Asked Questions

What is unique about this programme?

Helps unlock the power of data to solve complex real-world challenges and make data driven decisions.
Designed by IISc, a premier institution for world-class education in science, engineering, and design.
Delivered by faculty at the forefront of research and and industry practitioners in Data Science and Machine Learning
Learn on TalentSprint’s interactive AI-powered digital delivery platform and get access to industry experts.
Executive-friendly format: attend weekend classes at the comfort of your home while continuing your job.
Unique 5-step learning process of LIVE online faculty-led interactive sessions, capstone projects, mentorship, case studies and data stories.

Why Computational Data Science?

Computational Data Science helps you analyse data effectively and enable data-driven decisions. It harnesses your mathematical, analytical and technical skills to interpret and understand big complex data sets and their relevance to real-life decisions. Armed with this knowledge you become an expert at communicating data insights to key stakeholders within and outside your organization. The learnings help you deliver practical and actionable insights for leveraging customer behaviour, business intelligence, operations and much more.

Why IISc and TalentSprint?

IISc is India’s premier institution for advanced scientific and technological research and education. It is one of the first three publicly funded institutes to be awarded the Institute of Eminence status.

The institution’s reputation and pre-eminence consistently feature it in global university rankings. The institution has been home to distinguished alumni who have had noteworthy academic and industry positions around the globe.

Recently, IISc has been recognized as the World's Top Research University by the QS World Rankings 2022. With a perfect 100/100 score in the "Citations per Faculty" metric, IISc is in the same league as Princeton, Havard, and MIT, becoming the 1st Indian varsity to accomplish such a feat. For more information, visit https://www.iisc.ac.in

TalentSprint, an National Stock Exchange (NSE) Group Company, brings high-end and deep-tech education to aspiring 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. Given its in-depth understanding of the deep technologies, access to industry experts, and a state of art technology platform, IISc has chosen TalentSprint as its partner for executive education programmes in disruptive and emerging technologies. For more information, visit www.talentsprint.com.

Who is this programme for?

Tech professionals keen to build world class capabilities in data science.
Data scientists, data architects looking for career enhancements and transformations.
Programmers aspiring to take up roles of data scientists, data architects.
Leaders seeking to build data driven organizations.

Who will teach this programme?

The 12-month programme will be taught by world class faculty from a global institution and supplemented with industry learnings.

Meet the faculty here.

Is this a hands-on programme? What is the lab component?

Yes, this is a hands-on programme. The sessions are accompanied by practical industry-oriented exercises to help assimilate theory into practice. Online lab assignments will help you master the concepts with the help of mentors. Physical labs sessions will be opened once it is safe for participants and faculty.

How does the interactive live classes and mentor support help in building expertise?

LIVE interactive online classes by top professors help in getting clarity on the subject matter.
Weekly assignments and mini-projects evaluated by mentors help you get deeper insights into the concepts.
LIVE classes enable high-quality peer-learning, mentored group labs, and hackathons, all on the digital platform.

View all

Learn from the Leading Faculty at IISc, World’s Top Research University*

Demonstrate your expertise to get an edge in your career

Reboot your career for the post-pandemic hyper-digital economy