Computational Data Science Programme by IISc and TalentSprint (2022)

IISc Certification | Interactive Live Online Programme |

IISc Certification | Interactive Live Online Programme |

Information is the oil of the 21st century, and analytics is the combustion engine
Computational Data Science Programme by IISc and TalentSprint (1)

About 95,000 vacancies for Data Scientists exist in India today
Computational Data Science Programme by IISc and TalentSprint (2)

Chief Data Officers can increase consistent production of business value by a factor of 2.6X
Computational Data Science Programme by IISc and TalentSprint (3)

Data science needs will create roughly 11.5 million job openings by 2026
Computational Data Science Programme by IISc and TalentSprint (4)

By 2022, Data Scientists and Analysts will become top emerging roles in the world
Computational Data Science Programme by IISc and TalentSprint (5)

Top Data Science Career Opportunities
Computational Data Science Programme by IISc and TalentSprint (6)

  • 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

  • Computational Data Science Programme by IISc and TalentSprint (8)QS World University
    Rankings #1 (2022)*
  • Computational Data Science Programme by IISc and TalentSprint (9)India’s #1 University by NIRF (2016-20)
  • Computational Data Science Programme by IISc and TalentSprint (10)2 Bharat Ratna Awardees
    (1954, 2014)
  • Computational Data Science Programme by IISc and TalentSprint (11) Times Higher Education
    #1 University in India (2020)
  • Computational Data Science Programme by IISc and TalentSprint (12)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 Numerical Analysis, Data-driven Science, Scalable Algorithms

Ph.D. Computational Mathematics, OvGU Germany
Programme Coordinator

Chairman, Department of Computational and Data Sciences, previously Postdoc at Imperial College London and WIAS Berlin. Research areas include Finite Element Analysis, Parallel Algorithms, Data-Driven Modeling, ML/NN for CFD.

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

Computational Data Science Programme by IISc and TalentSprint (13)

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.

(Video) IISc & TalentSprint Computational Data Science

Participant Profile

  • Computational Data Science Programme by IISc and TalentSprint (14)
  • Computational Data Science Programme by IISc and TalentSprint (15)

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

(Video) Indian Institute of Science | Advanced Programme in Computational Data Science | Programme Intro

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

(Video) Data Science in Practice - IISc Computational Data Science

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

Computational Data Science Programme by IISc and TalentSprint (16)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

Computational Data Science Programme by IISc and TalentSprint (17)

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

  • Computational Data Science Programme by IISc and TalentSprint (18)

    Apply for
    Programme

  • Computational Data Science Programme by IISc and TalentSprint (19)

    Submit
    Details

  • Computational Data Science Programme by IISc and TalentSprint (20)

    Await
    Selection

  • Computational Data Science Programme by IISc and TalentSprint (21)

    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

Computational Data Science Programme by IISc and TalentSprint (22)12-Month 0% EMI availableComputational Data Science Programme by IISc and TalentSprint (23)Nominate 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

Computational Data Science Programme by IISc and TalentSprint (24)

  • 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?

Why Computational Data Science?

Why IISc and TalentSprint?

Who is this programme for?

Who will teach this programme?

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

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

View all

(Video) A heart-warming thank you message from IISc-TalentSprint CDS Program Cohort 1!
(Video) Introduction to Data Science

FAQs

Is Data Science available in IISc? ›

The Data Science and Business Analytics (DSBA) is an online Masters' program offered by the Departments of Computational and Data Science and Management Studies at IISc.

What is computational Data Science? ›

The computational data science degree focuses on the computational foundations of data science, providing an in-depth understanding of the algorithms and data structures for storing, manipulating, visualizing and learning from large data sets.

What is difference between computational Data Science and Data Science? ›

Yet, the differences can be found in the focus of both: Computational sciences focuses on development of causal models rather than extracting patterns or knowledge from data by statistical models, while this is what Data Science is all about.

How can I get IISc CDS? ›

NOTE: Official admission offers for the MTech (CDS) course degree by IISc and the acceptance of the same by the student will be done through the Common Offer Acceptance Portal (COAP) (https://coap.iitd.ac.in). Make sure to register on the COAP portal and check the status after the interviews are completed.

Which is the best Data Science course in India? ›

Best Data Science Courses in India
  • Post-Graduate Diploma in Business Analytics (PGDBA)
  • Postgraduate Diploma in Data Science (PGD-DS)
  • PGP in Data Science.
  • PGP – Data Science and Engineering.
  • MTech in Data Science and Artificial Intelligence.

Does IIT offer MSC in Data Science? ›

The interdisciplinary master's degree in Data Science is a unique offering from IIT Madras.

Is computational and data science good? ›

Data and Computational Science course is very attractive for the young generation as well as the professionals of this field. The demand is created in sectors of Information technology, telecom, manufacturing, finance and insurance, retail and much more.

How do you become a computational scientist? ›

A Master's degree in computer science or computer engineering is preferred. Significant experience in the field and professional licensure may substitute for additional education. Experience in scientific computing, modeling, and simulation related to energy systems is preferred.

Why is computational science important? ›

An important aim of this programme is to develop your abilities to pose and solve problems that combine insights from one or more disciplines from the natural sciences with mathematical tools and computational skills. This provides a unique combination of applied and theoretical knowledge and skills.

Which pays more data science or computer science? ›

Glassdoor (2022) reported that data scientists nationwide earned an average annual salary of $1,17,212 per year, while computer scientists earned an average annual salary of $1,06,012 per year.

Which is better CSE or data science? ›

Both fields require problem-solving and analytical skills. Paying attention to detail, having good communication skills, and understanding businesses are also very important. Since both these fields can go hand in hand, there is no definite answer to Data Science vs Computer Science which is better.

Can a CSE student become data scientist? ›

Absolutely, anyone with a degree in computer science can go for data scientist. Data science is a field that requires lot of analytical knowledge. Along with your CS degree you will also have to work up on your analytical skills.

What is the cutoff for IISC Bangalore? ›

A. The BSc Research R4 Cutoff 2021 at IISC Bangalore for General Category was 221-230 (JEE Main/JEE Advanced) at IISC Bangalore.

Which city is best for data scientist in India? ›

Bangalore, India

Bangalore is one of the most preferred places to move to in India when it comes to growing in the data science profession. This is for the sole reason that Bangalore is considered to be a hub for every significant technological advancement.

Which data science program is best? ›

Best Certification for Data Science
  1. Data Scientist Nanodegree Program (Udacity) ...
  2. IBM Data Science Professional Certificate (IBM) ...
  3. Professional Certificate in Data Science (Harvard) ...
  4. Data Scientist with Python (DataCamp) ...
  5. MicroMasters® Program in Data Science (UC San Diego) ...
  6. Data Scientist in Python (Dataquest)
8 Sept 2022

Which institute is best for data science placement? ›

See our Top 10 Courses And Training Programs On Artificial Intelligence In India: Ranking 2018 here.
  • Jigsaw Academy.
  • AnalytixLabs.
  • INSOFE (International School of Engineering)
  • IMS Proschool Pvt Ltd.
  • UpX Academy.
  • Edvancer.
  • Ivy Professional School.
  • Nikhil Analytics.
23 Nov 2018

Which IIT is best for Data Science? ›

IIT Guwahati is offering M. Tech in Data Science at Computer Science Engineering, Electronics and Electrical Engineering, and Mathematics department. IIT has observed that Data Science is witnessing a surge of applications in diverse research disciplines.

Which IIT is best for M Tech in Data Science? ›

IIT Delhi senate has recently approved the MTech programme in Machine Intelligence & Data Science (MINDS) offered by ScAI. The MTech in MINDS will be a flagship educational programme for the ScAI at IIT Delhi, and is expected to begin in July 2022. MTech in MINDS is planned as an industry-sponsored programme.

Is Data Science available in IIM? ›

The Programme on Data Science & AI from IIM Bangalore will empower managers and other professionals to draw from the frameworks of data science and information systems, and guide their organizations along a forward-looking trajectory.

What is the income of data scientist? ›

Average starting Salary for Data Scientist in India is around ₹4.5 Lakhs per year (₹37.5k per month). 1 year of minimum experience is required to be a Data Scientist. What is the highest salary for a Data Scientist in India? Highest salary that a Data Scientist can earn is ₹25.8 Lakhs per year (₹2.2L per month).

Which is better cybersecurity or data science? ›

Cyber security experts create robust and effective security systems to maintain the integrity and security of organizational data, networks, systems, etc. Data science experts extract valuable information from vast amounts of raw data to construct models and draw actionable insights.

Is data science harder than computer science? ›

As such, data scientists may need a passable proficiency in those tools, but not the same level of dedicated expertise that you might see with a professional programmer. The difference between data science and computer science can be harder to spot on an undergraduate level.

What is the difference between computational science and computer science? ›

Please note that computational science is different from computer science. At the risk of oversimplifying things, one can say that computer science is about the science of computers whereas computational science is about the use of computers to solve science and engineering problems.

What can I do with a computational science degree? ›

Career Options in Computational Mathematics
  • Banking Software Engineer.
  • Broker.
  • Business Advisor.
  • Business Analyst.
  • Computer Engineer.
  • Computer Programmer.
  • Computer Modelling Specialist.
  • Commodities Trader.

What do computational scientist do? ›

Computational scientists are typically researchers at academic universities, national labs, or tech companies. One of the tasks of a computational scientist is to analyze large amounts of data, often from astrophysics or related fields, as these can often generate huge amounts of data.

Is computational science difficult? ›

In short, yes, computational engineering is a great career for people who love math, science, and computer science. It's one of the hardest majors and careers out there, which means you'll stretch your mind and learn incredible things throughout your career.

What are the three disciplines in computational science? ›

Computational science can also be used where it becomes impossible or impractical to apply experimental methods. Computational science is often thought of as an integration of three disciplines- Mathematics, Computer Science, and Science.

What kind of science is computational science? ›

Computational science, also known as scientific computing or scientific computation (SC), is a field in mathematics that uses advanced computing capabilities to understand and solve complex problems.

Does data science require coding? ›

You need to have knowledge of various programming languages, such as Python, Perl, C/C++, SQL, and Java, with Python being the most common coding language required in data science roles.

Who gets paid more data engineer or data scientist? ›

Data engineering does not garner the same amount of media attention when compared to data scientists, yet their average salary tends to be higher than the data scientist average: $137,000 (data engineer) vs. $121,000 (data scientist).

Is data scientist a software engineer? ›

Every Data Scientist is a Software Engineer but Every Software Engineer is not a Data Scientist. However, a Data Scientist is more focused on defining a Problem Statement, Querying Data, performing Exploratory Data Analysis, developing Models, and Interpreting Results.

Which is better AI and data science or CSE? ›

If a person like the intelligence part of computers and machine building, then he should opt for AI, but if the person is more interested in the conceptual and orthodox studies about computers and its models, then he must definitely opt for CS as his carrier path.

Is data science a good career in India? ›

Data science jobs are among the top-paying jobs in the market right now. The average salary of a data scientist ranges between INR600,000–700,000 for freshers as well. This helps data science is gaining traction from a lot of professionals.

Is there a PHD in data science? ›

The Ph. D. specialization in data science is an option within the Applied Mathematics, Computer Science, Electrical Engineering, Industrial Engineering and Operations Research, and Statistics departments.

Is B tech enough for data scientist? ›

A B Tech in data science can be a great course to create the data scientists of tomorrow, but universities have to be cautious in how to plan such a curriculum for students who have passed out from school.

Is data scientist a tech job? ›

A data scientist is a technical professional tasked with solving business problems with data insights by working with large volumes of structured and unstructured data, processed using their knowledge of mathematics, statistics, and computing algorithms.

Can Btech CSE become data scientist? ›

The answer to your question is yes, you can. The basic requirement that you need to have is the knowledge of software and most importantly data analysis.

Which one is better IIT or IISc? ›

IISc is definitely the better option. B. Tech is the most valued course at IIT Bombay. It gives the UG student a sense of superiority.
...
Comments.
ParticularsIIT BombayIISc Bangalore
Median Salary OfferedRs.27.8 LPA (B.Tech) Rs.50.9 LPA (M.Tech)Rs.11.5 LPA (B.Sc) Rs.18.22 LPA (M.Tech)
3 more rows
4 Apr 2022

What is IISc famous for? ›

It is one of the oldest and finest centres of its kind in India, and has a high international standing in the academic world as well. IISc is renowned for its academic freedom, focus on research excellence, and the high quality of its faculty and students.

Is getting into IISc tough? ›

IISc is the top institute of the country. IISc admits students who are top rankers in some of the prestigious entrance examinations like JEE and NEET. So getting admission in IISc is as difficult as getting top ranks in these exams. IISERs consider JEE Advanced score, but not NEET.

What is the cutoff for IISC Bangalore? ›

A. The BSc Research R4 Cutoff 2021 at IISC Bangalore for General Category was 221-230 (JEE Main/JEE Advanced) at IISC Bangalore.

What is data science masters program? ›

In this program, you will learn expertise in statistical modeling, data management, machine learning, data visualization, software engineering, research design, data ethics, and user experience to meet the growing needs of industry, not-for-profits, government agencies, and other organizations.

Which one is better IIT or IISc? ›

IISc is definitely the better option. B. Tech is the most valued course at IIT Bombay. It gives the UG student a sense of superiority.
...
Comments.
ParticularsIIT BombayIISc Bangalore
Median Salary OfferedRs.27.8 LPA (B.Tech) Rs.50.9 LPA (M.Tech)Rs.11.5 LPA (B.Sc) Rs.18.22 LPA (M.Tech)
3 more rows
4 Apr 2022

What is IISc famous for? ›

It is one of the oldest and finest centres of its kind in India, and has a high international standing in the academic world as well. IISc is renowned for its academic freedom, focus on research excellence, and the high quality of its faculty and students.

Is getting into IISc tough? ›

IISc is the top institute of the country. IISc admits students who are top rankers in some of the prestigious entrance examinations like JEE and NEET. So getting admission in IISc is as difficult as getting top ranks in these exams. IISERs consider JEE Advanced score, but not NEET.

Which country is best for masters in data science? ›

1) Which is the best country to do a master's in data science? The top countries that provide the best education in data science include the USA, UK, Canada, France, Australia, New Zealand. So far, the USA has been reigning the 1st position for masters in data science.

Which university is best to do masters in data science? ›

Top 10 data science master's degree programs
  • Purdue University: Krannert School of Management.
  • DePaul University.
  • University of Rochester.
  • New York University.
  • Carnegie Mellon University.
  • Columbia University in the City of New York.
  • North Carolina State University – Raleigh, North Carolina.
  • Georgia Institute of Technology.
13 Nov 2018

Which data science course is best? ›

Best Certification for Data Science
  1. Data Scientist Nanodegree Program (Udacity) ...
  2. IBM Data Science Professional Certificate (IBM) ...
  3. Professional Certificate in Data Science (Harvard) ...
  4. Data Scientist with Python (DataCamp) ...
  5. MicroMasters® Program in Data Science (UC San Diego) ...
  6. Data Scientist in Python (Dataquest)
8 Sept 2022

Videos

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2. Best Data Science Course For Working Professionals | IISc Bangalore | IISc CDS Course Review | 2021
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3. Computational and Data Science, IISc Research Admission 2022 Information Session
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4. MY INTERVIEW EXPERIENCE OF IISc BANGALORE । Computational and Data Science
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5. IISC computational and Data Science
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6. CDS Webinar
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