IIIT Hyderabad: Post Graduate Certificate in Software Engineering for Data Science

Develop advanced Software Engineering skills required to build real world, large-scale Data Science applications

  • 8 Months
  • Online + On-campus Residencies

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Why choose this Program?

Comprehensive Curriculum
  • 350+ learning hours with Online content, Live Online Teaching and On-campus residencies
  • Uniquely crafted learning experience that blends the best of academic excellence and industry applications
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Learn from the best
  • Learn from the world class faculty at IIIT Hyderabad and Industry Experts
  • Online learning blended with 3 on-campus residencies at IIIT Hyderabad Campus
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Post Graduate program from IIIT Hyderabad
  • Showcase your expertise and credibility with a post graduate certificate from IIIT-Hyderabad
  • Get IIIT Hyderabad Alumni Status
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Working Professional
Build cutting edge skill sets
Career Support
3 On-campus Residencies at IIIT Hyderabad Campus
Industry Project
350+ learning hours with Online content, Live Online Teaching and on-campus residencies
Salary Hike
Career opportunities with 400+ hiring partners

IIIT Hyderabad Post Graduate Certificate in Software Engineering for Data Science

8 Months | Online + On-campus Residencies

Learn from one of India's leading Technical Institutions


Outstanding rank in All India Technical Colleges

11th Rank

India’s top 23 Technical Universities, Outlook 2020

6th Rank

India's best research institution in Computer Science - CSrankings

                              IIIT Hyderabad: Software Engineering for Data Science

Are you one of the many who is dreaming to learn Data Science?  Data Science has become a buzzword and has attained huge traction in no time. Many are aspiring to become a Data Scientist today. If you are passionate about learning Data Science, take up the software engineering in data science course designed by Great Learning in association with one of India's best technological Institutes, IIIT Hyderabad.

Let us learn more about Data Science

The amount of data being created constantly and the computing power that is available with the advancements in technology led to the emergence of Data Science.

Data Science is a combination of scientific methods, models, and algorithms working together to extract the most meaningful insights. Data Science is the intersection of several other concepts such as Statistics, Data Analysis, Machine learning, and more. 

Software Engineering is the process of design, develop, and maintain a software product.  In other words, Software Engineers write code. There is an immense demand for software engineers all across the globe. Software engineering is an important branch of Computer Science technology that mainly focuses on the development and maintenance of software systems and applications. The domain of software engineering is observed to offer one of the highest paid job roles. A career in software engineering is highly rewarding. 

Considering the immense demand that Data Science has attained, Software Engineers that work on Data Science related programming languages indeed possess a great demand. Software engineers work with programming languages. Programming languages are a lot like the languages that software engineers communicate with computer systems. EG: Python is one of the most popular languages that is being used in Data Science. 

Below are the various steps involved in Software Development LifeCycle

Software Development Lifecycle

Gathering requirements

Gathering the requirements is the most crucial phase of the software development life cycle. This step does not include coding and stuff. It is all about analysing the given problem.


This phase involves defining and documenting the requirements of the product development and getting them approved from the client.


Designing involves designing the architecture of the software product and the interface. 


This is another crucial phase of the software development lifecycle as it involves developing the project which is nothing but writing the code.


Once the code is written, testing needs to be performed to ensure that there exists no flaws in the developed project.


Once the model is tested, it is ready to develop. The developed product will be deployed to the end user.

Let us learn more about Data Science and Software Engineering.

What are the various steps involved in the life cycle of Data Science?

1.Understanding the Business Problem

One of the primary objectives of a data scientist is to understand and define the objectives of a given problem that needs to be addressed. 

2. Data Acquisition

Once the problem is defined, a data scientist gathers data from multiple resources such as web servers, logs, APIs, databases, and more. 

3.Data Preparation

The process of Data Preparation involves Data Cleaning and Data Transformation. Data Cleaning consumes a lot of time and effort as it involves working with many complex scenarios. This includes working with inconsistent datatypes, missing values, misspelt attributes, and more. 

Once the data is cleaned, it must be modified by employing different mapping rules. 

4. EDA or Exploratory Data Analysis

This process helps to define and refine the selection of feature variables employed in the model being developed. 

5. Data Modeling

Data Modeling is considered as the core aspect of Data Science as the data Scientist repetitively applies several Machine Learning techniques and chooses the model that best fits. 

6. Data Visualisation

The data scientist now employs several data visualization tools like Tableau, Power Bi to communicate effectively and convince the stakeholder.

7. Deployment

The data scientist tests the model before deploying it to the client. When you take up the IIIT Hyderabad software engineering course, you would learn to develop advanced Software Engineering skills required to build real-world, large-scale Data Science applications.

Earn a Post Graduate Certificate in Software Engineering for Data Science from IIIT Hyderabad. This program constitutes 350+ learning hours with Online content, Live Online Teaching and On-campus residencies.

The Exhaustive Curriculum of the Software Engineering for Data Science Course

Let us look into the Curriculum of the Data Science Course from IIIT Hyderabad


Intro to Programming 

In this module, you would learn about the various programming languages which are employed thoroughly in Data Science.

Below are the basic programming skills and concepts you would master in this module.

  • Programming languages - structure and uses
  • The relation between front-end, back-end, and databases
  • Design and development of software development projects

Fundamentals for Programming

You would also learn about the most crucial fundamentals for programming.

Below are the concepts covered in this module.

  • HTML, CSS basics
  • Basics of Javascript
  • Version control, Git
  • Command-line scripting

Part A: Software Development fundamentals

Programming in Python

Python is one of the most popular programming languages employed in Data Science. Python has emerged as the most in-demand programming language and has always topped the race. Python has topped the list with 28.7% share in popularity. This popularity is observed to grow at a rapid pace.

Below are the various concepts of Python you would master in this module.

  • Python Data structures, dictionaries, constructs, logic, conditionals
  • Loops and Functions in Python
  • Lists and Tuples
  • Python Dictionaries and Packages

Data Structures & Algorithms

A Data Structure is a way of organizing data so that the data can be accessed quickly and easily. Data Structures are essential ingredients in creating fast and effective algorithms. Data Structures make the code cleaner and easier to understand. 

Below are the various concepts of Data Structures & Algorithms you would master in this module.

  • Data Structures: Stacks, Queues, Arrays, Queues, Linked lists, Heaps, Strings
  • Common Operations - Recursion, Searching and Sorting
  • Algorithms: Run time and efficiency of algorithms, Divide-and-Conquer (Binary Search, Selection Sort, Merge and Quicksort),
  • Trees: Trees, Binary trees, Binary search trees, Tree traversals

Object-Oriented Programming in Python

Object-oriented programming (OOP) is a practice of structuring a program by computing the related properties and functions into individual objects. In this module, you will learn about the Object-Oriented Programming techniques employed in Python.

Below are the various concepts of Object-Oriented Programming in Python you would master in this module.

  • Classes, Objects, Instances, Constructors
  • Inheritance, Polymorphism and Methods
  • Unit Testing and Documentation


As Data Science is all about data, it involves working with huge databases. A database is a systematic collection of data. Since the database is organized, it makes it simple to work with the data of a database. 

Below are the various concepts of Databases you would master in this module.

  • Database principles and data handling
  • SQL for databases – normalization, joins, subquery, index, optimization
  • Intro to NoSQL DBs with MongoDB

Web Development Frameworks

A Framework is an arrangement in which software provides better functionality that can be extended by additional user-written codes. Frameworks provide a standard way to develop any web application.

Below are the various concepts of Web Development Frameworks you would master in this module.

  • Python Flask to build web applications
  • Connecting to and interacting with databases using Flask
  • Flask extensions to make your application more powerful
  • Deploying Flask apps to Heroku

Front End Engineering

Front End Development refers to the user interface to interact with any application. Front end development is the practice of developing user interfaces. 

Below are the various concepts of Front End Engineering you would master in this module.

  • HTML Recap for front end development
  • CSS for web design, Responsive Web Design
  • Javascript and jQuery for Web Development - Basics of JavaScript, Arrays, Objects, Functions, DOM, Event Listeners, Logical Operators, Conditionals, etc. Working with AJAX and JSON, jQuery for optimization

Part B: Software Engineering for Data Science

The second part of the curriculum focuses on advanced programs and tools of software engineering for data science.

Software Engineering and Architecture

Software Engineering and Architecture refers to the discipline of creating the fundamental structure of software systems. It refers to the blueprint of a software project design.

Below are the various concepts of Software Engineering and Architecture you would master in this module.

Software Development Models and Phases –SDLC process, Waterfall, Agile, TDD

Software Architecture – UML, Software Design Patterns, Reference Architectures

UI/UX: UI vs. UX requirements, Choice of frameworks, wireframing, creating an MVP

Data Engineering

Data Engineering refers to the set of tools and techniques applied to the data collected from multiple resources to clean and mould it for further application.

Below are the various concepts of Data Engineering you would master in this module.

  • ETL process

ETL stands for Extract, Transform, and Load. ETL is the process of integrating the data and blending the data acquired from several data resources. ETL is a process of data cleaning. 

  • Relational and NoSQL data models with PostgreSQL and Cassandra
  • Real-time data and processing

Distributed Systems

A Distributed System is a collection of autonomous computers linked by a specific computer network equipped with a distributed system software. 

Below are the various concepts of Distributed Systems you would master in this module.

  • Distributed Computing – from MapReduce to Lambda Architecture and beyond
  • Distributed File Systems
  • Distributed Applications
  • Consensus, Replication, Reliability, etc.

Software Engineering for the Cloud

Cloud computing offers services such as storage space, software, tools, and more to a business on a pay as you go basis. 

Below are the various concepts of Software Engineering for the Cloud you would master in this module.

  • Containers, Dockers, Microservices
  • Cloud Computing - Managed Services, Serverless Computing, Cloud Security
  • DevOps: CI/CD principles and deployment pipeline, Infrastructure as Code

Data Science at Scale

Data Science at Scale refers to the application of techniques that help to push the limits of one machine and to look for distributed options. Scaling can be done by employing several programming languages and tools like R.

Below are the various concepts of Data Science at Scale you would master in this module.

  • Creating and scheduling end-to-end data pipelines
  • ML Models in Production: Pickling, Flask APIs, Docker to deploy on the cloud
  • Case studies: Data Science solutions at scale

Secure Software Engineering

Security software engineering refers to the practice of protecting software against any malicious attack. Security software engineering identifies any undetected vulnerabilities and improper handling of the data. 

Below are the various Secure Software Engineering concepts you would master in this module.

  • Common web application vulnerabilities and mitigation
  • Writing secure code
  • Data privacy, Access, Encryption, and other considerations
  • Network and System Security
  • Distribution and Network Models

Why should You Choose IIIT Hyderabad's Software Engineering Course for Data Science?

Even as there are many institutes claiming to offer different programs in the domain of Data Science, why should you choose the Software Engineering for Data Science course? Besides the exhaustive curriculum, what makes this program stand as the best Data Science Certification program?

Well, let us learn more about IIIT Hyderabad and Great Lakes.

The International Institute of Information Technology Hyderabad (abbreviated as IIIT Hyderabad or IIIT-H) was established by the Government of India in the year 1998. IIIT Hyderabad is a nationally certified public technical and research university located in Hyderabad. It was indeed the first of the International Institutes of Information Technology to be established. The prime focus of IIIT Hyderabad has always been research and innovation. IIIT Hyderabad has always been appreciated for its excellence in research, exceptional academic exposure, and outstanding coding culture. 

IIIT Hyderabad is also ranked #6 for India's best research institution in Computer Science. IIIT Hyderabad is ranked #11 by Outlook 2020 in the race of India's top 23 Technical Universities. 

Great Learning is considered India's leading professional learning company and is awarded as the Best Ed-Tech company of the year by EdTechReview for the year 2020. About 20+ programs offered by Great Learning are ranked top in the country. Great Learning has so far delivered 30+ million hours of learning. Great Learning is associated with more than 400+ leading companies to provide placement assistance to its candidates. Besides, it has also reached 140+ countries. 

Let us look into the various benefits offered when you take up the Post Graduate Certificate in Software Engineering for Data Science offered by Great Learning in collaboration with the prestigious IIIT Hyderabad.


When you take up the Software Engineering for Data Science certificate course, you will be taught by the world-class faculty.  The faculty of IIIT Hyderabad stands as one of the best in the country. Each of them is an alumnus of the world-renowned universities and institutes who have got outstanding experience. Besides, many leading practitioners would also take part in delivering lectures which help you gain the most meaningful insights.

Prof. Raghu Reddy is an associate professor and heads the software engineering research centre at IIIT Hyderabad. He has earned his Ph.D. from Colorado State University. His research focus is on the design and the development of complex software systems.

Prof. Ramesh Loganathan has got around 20+ years of experience working with the software industry. Working across R&D, Innovation, he heads Research and Innovation outreach at IIIT Hyderabad. Having held many academic positions, he brings the perfect balance between industry experience and academic expertise. 


Upon the successful completion of the course, each of the participants receives a Post Graduate Certificate in Software Engineering for Data Science from India's leading Technical Institution, IIIT Hyderabad. The Post Graduate Certificate in Software Engineering for Data Science from IIIT Hyderabad adds great value to your portfolio and fetches you with outstanding career opportunities. 


Each of the candidates will be allotted a mentor who is an industry expert that guides you in every step of your learning journey. The mentors would assist you in clearing your doubts, preparing for interviews, assist you in projects, and more. The mentors would benefit you in guiding you to build your career in the domain of Data Science.

e-Portfolio & Resume Building Sessions

An e-portfolio will be built for each of the candidates that display all the projects performed and the skills acquired This will be shared across all the social media platforms which aid you to gain the best career opportunities.

Career Assistance

Even as Great Learning is associated with 400+ top notch companies of the country, each candidate is allowed to access Great Learning's Job Board. Great Learning also organises regular career fairs in various cities across the country that help the students connect with the best industry opportunities.  The leading partners of Great Learning include DXC Technologies, The Math Company, Accenture, Myntra, Brillio, and more.


This program offers a blended mode of learning that encompasses both Online and On-campus modes of learning. Live online sessions take place during the weekends with the faculty of IIIT Hyderabad and several Industry Experts.  Hence, this program causes minimal disruptions to your personal and professional lives. 

Hands-on Learning

Besides gaining knowledge of different programming languages, candidates will also participate in several projects. The Capstone Project is designed to employ all the tools and skills learnt throughout the classroom sessions and employs rigorous learning as the candidate would work on several industry-oriented projects which makes him job-ready. 

Apart from the above mentioned, there are a lot more benefits you could acquire when you take up the Software Engineering for Data Science course by IIIT Hyderabad.