IISc Certification | Interactive Live Online Programme |

IISc Certification | Interactive Live Online Programme |

header-graphic

Download Brochure

3 Reasons Why This Programme is Unique

tick-iconLearn from the Leading Faculty at IISc, World’s Top Research University*

  • Designed by IISc’s Computational and Data Sciences Department
  • Taught by 5 Engineering and Management Sciences Faculty from IISc
  • Curated Industry Capstones, and option to Bring Your Own Project
  • 1:1 Mentoring by Industry and Academia Experts
  • 360° Learning on TalentSprint’s best-in-class Pracademic Platform

tick-iconDemonstrate your expertise to get an edge in your career

  • Build compelling Data Stories to chronicle your learning journey
  • Strengthen your resume by showcasing your expertise through Data Stories

tick-iconReboot your career for the post-pandemic hyper-digital economy

  • Get ready for a new world where Data Science is transforming business and society at an unprecedented pace
  • Design, build and deploy solutions to take data-driven real-world decisions
  • Derive lifelong benefits from TalentSprint’s growing network of Data Scientists

Hear from our program alumni

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

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 5 cohorts, enabling 620+ professionals to build Data Science expertise. The programme is now accepting enrollments for Cohort 6.


About Indian Institute of Science

  • QS World University
    Rankings #1 (2022)*
  • nirfUniversity (2016, 2020 and 2022)
    Research University (2022)
  • bharat-ratna2 Bharat Ratna Awardees
    (1954, 2014)
  • wur Times Higher Education
    #1 University in India (2020)
  • rurRUR 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
EY
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

Abu Dhabi
Columbus
Dubai
Germany
Glasgow
Hof
Kampong Punggol
Lisle
London
Minneapolis
Muscat
Plano
Pretoria
Princeton Junction
Riyadh
Rome
Saltillo
Singapore
Stockholm
Stuttgart
Ahmedabad
Asansol
Bangalore
Bhopal
Bhubaneswar
Calicut
Chandigarh
Chembur
Chennai
Chhattisgarh
Chittoor
Coimbatore
Cuttack
Delhi
Ernakulam
Faridabad
Ghaziabad
Gurgaon
Hoodi
Hosur
Hubli
Hyderabad
Indirapuram
Indore
Jaipur
Jeddah
Kadapa
Karnataka
Khajura
Kolhapur
Kolkata
Lucknow
Ludhiana
Machhagan
Madurai
Meerut
Moradabad
Mumbai
Mysore
Nagercoil
Nagpur
Nashik
Nellore
Noida
Palakkad
Patna
Pune
Ranchi
Rohtak
Sambalpur
Satna
Siliguri
Surat
Thane
Tiruchi
Tripura
Vadodara
Vijayawada
Zhongli

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

onlineInteractive Online Classes

  • Faculty-led Interactive Sessions
  • Convenient Schedule
  • Direct to Device

View Details

Next Batch starts in March 2023

12-month programme

2 Campus Visit of 3 Days each
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
certificate

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

  • Application

    Apply for
    Programme

  • Block Your Seat

    Submit
    Details

  • Enrollment

    Await
    Selection

  • Enrollment

    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 will be based on actuals and to be borne by the participants.
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

Business Line
bl-news
Indian Express
indian-express-news
Data Quest
dq-news
Express Computer
ec-news
AIM
aim-news

Frequently Asked Questions

View all