Unleash the power of data for
real-world decision making

PG Level Advanced Certification Programme in
Computational Data Science

Looking to become a Data Scientist? Build your skills with IISc's Advanced Certification course in Computational Data Science. Enroll now to enhance your career opportunities!

  • Talentsprint

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  • India’s #1 University (2015-23) & Research Institute (2021-23)*
  • 12 Months
    Executive Friendly
  • 2 Campus visits of
    2 days each
  • 100%LIVE Interactive Classes
  • *As per NIRF Ranking

3 Reasons Why This Programme is Unique

1 Learn from the Leading Faculty at IISc, India’s #1 University and Research Institute*

  • 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
  • 360° Learning on TalentSprint’s best-in-class Pracademic Platform
  • 12 Month Online Live Interactive Sessions
  • 1:1 Mentoring by Industry and Academia Experts

2 Demonstrate 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

3 Reboot 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

*As per NIRF Ranking 2023

  • About 95,000 vacancies for Data Scientists exist in India today
  • Data science needs will create roughly 11.5 million job openings by 2026
  • "Information is the oil of the 21st century, and analytics is the combustion engine"
  • Chief Data Officers can increase consistent production of business value by a factor of 2.6X

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

Gain the IISc Bangalore Advantage

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) in collaboration with TalentSprint. 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.

  • India’s #1 University (2015-23) & Research Institute (2021-23)
  • India's #1 University (2015-2024)
  • 2 Bharat Ratna Awardees

Computational Data Science Course Overview

Are you a working professional looking to build expertise in Data Science? Look no further than the PG Level Advanced Certification course in Data Science offered by Indian Institute of Science (IISc) in association with TalentSprint. This highly sought-after programme offers a unique 5-step learning process, including LIVE online faculty-led interactive sessions, capstone projects, mentorship, case studies, and data stories.

Taught by world-class faculty from a global institution and supplemented with industry learnings, this 12-month programme is best suited for professionals who want to gain practical hands-on experience in solving real-life challenges. The programme teaches participants how to build powerful models to generate actionable insights, necessary for making data-driven decisions.

With an overwhelming response, this programme has enabled 620+ professionals to build Data Science expertise. Don't miss the opportunity to gain an in-depth understanding of the mechanics of working with data and identifying insights. Enroll now and take your career to the next level with the PG Level Advanced Certification course in Computational Data Science.

Campus Visit at IISc

Real-World Curriculum

Cutting-edge curriculum that reflects the latest and proven industry practices

  • Module 0: Bridge by TalentSprint Team [4 weeks]

    • Google Colab
    • Python
      1. Matplotlib
      2. Numpy
      3. Pandas
    • Basic mathematics
    • Basic data visualization
    • Data Cleaning/Munging
  • Module 1: Foundations of Data Science [6 weeks]

    Overall Goal: Gaining working knowledge in the math required to understand and use data science tools

    • Probability Axioms, Random Variables, PDF, PMF, Conditional Probability, Independence, Expectation, Variance
    • Describing Common Events using Probability: Bernoulli, Geometric, Binomial, Poisson, Uniform, Normal, Exponential
    • Statistical Learning - A/B Testing, Type I and II errors, Sample Size calculation
    • Univariate and Multivariate Calculus, Norms of Vectors and Functions
    • Taylor's theorem and Automatic Differentiation
    • Fundamentals of Linear Algebra Spaces
    • Principal Components and Matrix Factorization
    • Mini project in foundations of data science
  • Module 2: Machine Learning [5 weeks]

    • Foundations of ML
      1. Problem-solving strategy with data science tools, ML and DL.
      2. Model selection, feature importance
    • Regression Models
      1. Least Squares; Regularization - Elastic Net, Ridge, Lasso; Bias-Variance tradeoff
      2. Development-testing paradigm
    • Classification Models
      1. Classification algorithms
      2. Evaluation Metrics: MSE, Accuracy, Precision, Recall, F1 Score
    • Decision Trees and Random Forests
      1. Decision Tree Algorithms
      2. Voting Classifiers, Bagging Ensemble models
      3. Random Forests
    • Boosting Models
      1. XGBoost
      2. Light GBM
    • Unsupervised Learning
      1. Clustering (k-means, dbscan), Agglomerative clustering
      2. Anomaly Detection
    • Mini-Project: Five Mini Projects in Machine Learning
  • Module 3: Scalable Computing for AI/ML [5 Weeks]

    • Fundamentals of Computing
      1. Data-Driven Modeling and Computational Thinking
      2. Representation of numbers
      3. Gradient computation
    • Scalable Computing for Data Science
      1. Object Oriented Programming (OOPs) concepts
      2. Parallel Architectures and Implementation of Data Science Tools
        1. Shared Memory
        2. Distributed Memory
        3. Accelerators (GPU)
    • JIT compiler, Numba, Dask, CUDA, Tensorflow distributed computing
    • Mini project in Computing for AI/ML
  • Module 4: Neural Networks [6 weeks]

    • Deep Neural Networks
      1. Multi Layer Perceptrons (MLP), backprop, Regression/Classification with MLP, gradient issues, and activation functions batch normalization, overfitting, drop out, optimizers and learning rate
    • Convolutional Neural Networks
      1. Filtering, Convolution, pooling, Various architectures: U-net, Resnet, etc., classification, localization, segmentation (Computer Vision Applications)
    • Recurrent Neural Networks
      1. Sequence modeling, memory cell, GRU, LSTM, gradient issues (NLP Applications)
    • Dimensionality Reduction and Self-supervised Neural Networks
      1. PCA, Matrix Completion, LDA, CCA Manifold Learning, t-SNE, LLE
      2. Advanced Auto-encoder type architectures
    • Autoencoders, GANs
    • Fundamentals of NLP, attention mechanism and transformer models.
    • Mini-Project in Neural Networks
  • Module 5: Data Engineering [5 weeks]

    • 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 in Data Engineering
  • Module 6: Business Analytics [4 weeks]

    • Time Series Modeling
      1. Fundamentals, Stationarity, Measures of dependence
      2. ARMA modeling
    • Business Case Studies
      1. Market Basket Analysis (Association Rule Mining)
      2. Optimal Financial Portfolio Allocation
      3. Customer Churn Analysis
    • Mini-Project in Business Analytics

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Capstone Projects

  • Real-time system
    for Tweet Analytics
  • ChatGPT based
    project
  • 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 covered

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 by Center for Continuing Education at IISc

Faculty

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
Programme Co-Coordinator


Sashikumaar Ganesan is a Professor and Chair of the Department of Computational and Data Sciences (CDS), IISc

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Prof. Deepak Subramani

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


Prof. Deepak, an assistant professor in the Dept of Computational and Data Sciences, IISc

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Prof. Yogesh Simmhan

Ph.D. Computer Science, Indiana University, USA


Data and Computing Systems, Big Data, Internet of Things

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Prof. Sundeep Prabhakar Chepuri

Ph.D. TU Delft, Netherlands


Computational Signal Processing, GNN, ML, Statistical Inference

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Prof. Shashi Jain

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


Quantitative Finance, Derivative Pricing, Real Option Analysis

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Schedule

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

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.

Admission Process

    Apply for the Programme

    Submit Details

    Selection by IISc Committee

    Join the 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.

Class Start - March 2024

Apply Now

Programme Fee

One time application fee is ₹2,000


Details Domestic Participants International Participants
Programme Fee
With Scholarship
₹4,00,000
₹3,00,000
$5,000
$3,750

EMI Facility Available Special Pricing for Corporates *GST 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.

Frequently Asked Questions

  • 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.

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.

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.

IISc has been consistently recognised as India’s #1 University and #1 Research Institute by the National Institutional Ranking Framework (NIRF) 2023 Ranking. For More information, visit: https://www.nirfindia.org/2023/Ranking.html

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.

  • 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.

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

Meet the faculty here.

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.

  • 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.

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