Executive-Friendly Program | High Impact Format | Globally Recognized Certification

eMasters from IIIT Hyderabad Computer Science | AI and ML

Specially designed for professionals to build tech expertise
and enhance their careers

Apply Now

IIIT Hyderabad Masters Degree
  • Profile selectionNo GATE Score required
  • Program duration 2 Years (9 Core Modules and 3 Specialization Modules)
  • Program Start September 2023
  • Prestigious Exec. Ed. Alumni Status

e-Masters Highlights

  • No GATE Score Selection on academic and
    professional background
  • IIIT-H e-Masters e-Masters is a Master's program by IIIT Hyderabad designed to land you the tech job you are looking for.
  • High Impact Learning Unique learning by doing pedagogy with 1:1 mentoring, visit to IIIT Hyderabad campus.
  • Executive Friendly 2 year program, designed for working professionals.
  • IIIT-H Alumni Status Be a part of the prestigious IIIT Hyderabad alumni network with access to all the alumni privileges.
  • Career Access Career Advancement and Placement Support

I'm Interested

About IIIT Hyderabad e-Masters

The e-Masters degree program is an innovative, interdisciplinary two year programme that imparts both theoretical and practical capabilities enabling aspirants to navigate and thrive in this fast-evolving computing and AI age. The program empowers aspirants to stay well-informed of the latest trends and developments in the tech industry. Aspirants will be mentored by a dynamic group of academicians and researchers from IIIT Hyderabad.

Leveraging a legacy built to produce world-class industry-ready tech talent

  • 20 years of Exceptional Hands-On Education
  • 3000+ Aspirants Empowered & Scaled their Careers
  • 15+ Independent Projects with Impact
  • 6 Industry Leading Co-op Partners

Get the e-Masters Advantage

  • Transformative Pedagogy
    Backed by project-centric curriculum and hands-on application.
  • Industry Recognized Certification
    Many of the alumni have been scripting their career success today.
  • Achieve Mastery at your own pace
    Unlock new skills and get access to the best-in-class instructional materials.
  • AI-powered Virtual Learning
    You will get a true-to-life interactive experience while seamlessly pursuing learning.

About IIIT Hyderabad


Over the years, IIIT Hyderabad has evolved strong research programs in various areas, emphasizing technology and applied research for industry and society. The institute facilitates interdisciplinary research and a seamless flow of knowledge. Several world-renowned centers of excellence are part of IIIT Hyderabad’s research portfolio. It has established various joint collaboration and co-innovation models with an industry outreach spanning significant national and multinational companies. For more information, please visit www.iiit.ac.in

  • India's #1 AI Research Center and ML Lab
  • Largest Computer Science Research Group in India
  • #2 in All India Best Engineering Colleges - India Today
  • #1 Private University in India - Education World India Higher Education Rankings for 2022 - 23
  • Recognized by
    ARIIA 2021 - GoI

Curriculum

A well-researched real-world curriculum is designed by experts at IIIT Hyderabad and Carnegie Mellon University to enable aspirants to
build knowledge and strengthen their computing fundamentals.

  • Semester 1 (Core Modules)

    • Module 1: Computer Science Principles
    • Module 2: Computer Science for Data
    • Module 3: Databases
  • Semester 2 (Core Modules)

    • Module 1: Object Oriented Programming
    • Module 2: Data Structures
    • Module 3: PSC
  • Semester 3 (Core Modules)

    • Module 1: Computer Systems - I
    • Module 2: Computer Systems - II
    • Module 3: Algorithms
  • Semester 4 (Specialization Module)

    In the 4th semester, you will have the electives that are tailored to complement your specialization.

    AI and Machine Learning

    1. Mathematical Foundations for ML (Linear, Probability)
    2. Machine Learning Foundations
    3. Deep Learning
    4. Neural Networks
    5. Advanced ML Techniques
    6. Reinforcement Learning
  • Semester 1 (Core Modules)

    • Module 1: Computer Science Principles
    • Module 2: Computer Science for Data
    • Module 3: Databases
  • Semester 2 (Core Modules)

    • Module 1: Object Oriented Programming
    • Module 2: Data Structures
    • Module 3: PSC
  • Semester 3 (Core Modules)

    • Module 1: Computer Systems - I
    • Module 2: Computer Systems - II
    • Module 3: Algorithms
  • Semester 4 (Specialization Modules)

    In the 4th semester, you have the flexibility to choose electives that align with your specialization. You will have an option of choosing any 3 modules from your specialization.

    Computer Science

    1. Advanced Algorithms
    2. JavaScript Programming
    3. Principles of Software Construction
    4. Frontend (Web/Mobile)
    5. Backend
    6. DevOps

Program Structure

  • Duration
    2 Years (4 Semesters) degree includes Core Modules and Specialization Modules.
  • Total Credits
    e-Masters degree is worth 68 Credits (Transferable for M.Tech)
    1. 1. Semester I - 15 Credits
    2. 2. Semester II - 15 Credits
    3. 3. Semester III - 15 Credits
    4. 4. Semester IV - 10 Credits
    5. 5. Reading Papers - 3 Credits
    6. 6. Capstone Projects - 10 credits

    2/3rd of the 68 credits will be transferable


Executive Friendly Weekly Schedule

  • Learn at your own pace Unlock new skills and get access to the instructional materials
  • Evaluate your learning Take an assessment on the topics learned in that week
  • Apply your learning Apply the skills learned by doing real time projects

Outcomes

  • Get an e-Masters Degree from IIIT Hyderabad
  • Become a part of IIIT Hyderabad’s alumni network
  • Develop practical skills in software development
  • Get insights on Emerging Technologies
  • Solve complex problems using design thinking approach
  • Join a diverse community of like-minded industry professionals

Faculty Group of Renowned Academicians and Researchers

Learn from the experts working at the forefront of software development, computing and emerging technologies.

Raj Reddy

Professor of Computer Science and Robotics


Moza Bint Nasser University Professor of Computer Science and Robotics in the School of Computer Science at Carnegie Mellon University.

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C. V. Jawahar

Professor, IIIT Hyderabad


C. V. Jawahar received his Ph.D. from Indian Institute of Technology Kharagpur. He is the Machine Learning Lab Head

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Anoop Namboodiri

Associate Professor, IIIT Hyderabad


Anoop Namboodiri received his Ph.D. in Computer Science from Michigan State University, USA.

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Vineet Gandhi

Assistant Professor, IIIT Hyderabad


Vineet Gandhi received his Ph.D. in Applied Mathematics and Computer Science from INRIA Rhone Alpes/University of Grenoble.

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Ravi Kiran

Assistant Professor, IIIT Hyderabad


Ravi Kiran received his Ph.D. from the Department of Computational and Data Sciences, Indian Institute of Science, Bangalore.

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Asokan Pichai

Chief Learning Officer, TalentSprint


Asokan holds a PG Diploma in Computer Programming. He is an Industry Instructor, Instructional Designer, and Programming Guru,

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Dr. Mohammed Habeebvulla

Director of Delivery - Executive Programs at TalentSprint


Dr. Habeebvulla received his Ph.D. in Computer Science from Calorx University. Habeebvulla has worked in diverse roles in the software

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Manish Gupta

Principal Applied Scientist at Microsoft Adjunct Faculty, IIIT Hyderabad


Manish received his Ph.D. from the University of Illinois. His area of interest includes Big Data Analytics, Algorithms, Deep Learning

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Manish Shrivastava

Assistant Professor, IIIT Hyderabad


Manish received his Ph.D. from IIT, Bombay. His areas of interest include Natural Language Processing, ML, Machine Translation, NLP for Indian Languages.

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Anil Vuppala

Associate Professor, IIIT Hyderabad


Anil received his Ph.D. from IIT, Kharagpur. His areas of interest include Speech Recognition, Speaker Recognition, Language Identification

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Praveen Paruchuri

Assistant Professor, IIIT Hyderabad


Praveen received his Ph.D. from the University of Southern California. His areas of interest include Artificial Intelligence

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Praveen Garimella

Dean, Masters Degree Programs, IIIT-H


Praveen Garimella is the Dean of the Masters program. His focus is on empowering the youth through technology-enabled personalized teaching and learning.

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Dr Arun Kumar

Associate Dean, IIIT-H


Dr Arun Kumar Parayatham is a Resource Principal Mentor and Associate Dean (Academics) at Consortium Institutions of Higher Learning, Hyderabad.

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Deepak Kumar Reddy

Associate Mentor, IIIT-H


Deepak has been a teaching at IIITH for nearly four years. organizes courses across Algorithms and Data Structures

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Manjunath Mattam

Resource Principal Mentor, IIIT-H


Manjunath Mattam is Head Masters Degree Programs and Resource Principal Mentor, at the IIIT Hyderabad campus.

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Vemuri Laxmi Narayana Murthy

Assistant Mentor, IIIT-H


Vemuri Laxmi Narayana Murthy is an Assistant Mentor at Masters Degree Programs, at the IIIT Hyderabad campus.

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Savitha Menon

Soft Skills Mentor, IIIT-H


Savitha Menon is an Assistant Mentor at IIIT Hyderabad campus.

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Subha Chakraburtty

Soft Skills Mentor, IIIT-H


Subha Chakraburtty is an Assistant Mentor at the IIIT Hyderabad campus.

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Manasa A

Assistant Mentor, IIIT-H


Manasa A is an Assistant Mentor at the IIIT Hyderabad campus.

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Ongole Vydehi

Assistant Mentor, IIIT-H


Ongole Vydehi is an Assistant Mentor at the IIIT Hyderabad campus.

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Anandaswarup Vadapalli

Associate Mentor, IIIT-H


Anandaswarup Vadapalli is an Associate Mentor at the IIIT Hyderabad campus.

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Ideal for

  • Working professionals with 1+ years experience

Admission Process

    Application

  • Register with Mobile Number
    Submit Details
    Remit Application Fee
    Upload Documents
  • Selection

  • Application Review
    Selection Test *
    Interview
  • Admission

Class Start - September, 2023

* Selection test differs for every program

Apply Now

Program Fee

Application fee ₹2,000 (to be paid during application submission)

Details Amount
Registration Fee
To be paid within 1 week of selection
₹1,00,000
Program Fee
Semester I - ₹1,00,000 Semester II - ₹1,00,000 Semester III - ₹1,00,000 Semester IV - ₹1,00,000 To be paid 1 week before the commencement of the semester
₹4,00,000
Total Fee ₹5,00,000

EMI options available GST as applicable

Fee paid are non-refundable and non-transferable

Campus visit fee to be borne by participants. Will be based on actuals.

Scholarships upto 20%
available

Check your Scholarship Eligbility

Benefits of learning from us

  • 1:1 Mentoring and doubt-solving sessions
  • Career Advancement and Placement Support
  • Work on real-time projects

Apply Now

Frequently Asked Questions

e-Masters is a unique two-year program designed exclusively for early career professionals, enabling them with relevant expertise to stay agile and relevant in a fast-changing technology-dominated world.

The program participants will learn a project-centric curriculum in an environment akin to a corporate one. It helps aspirants stay abreast with the latest trends and developments in the tech industry, including new programming languages, technologies, and frameworks.

Unlike regular programs, e-Masters combines self-paced learning and weekend-only LIVE project-centric sessions coupled with weekly assessments, capstones, and IIIT Hyderabad campus visits. Note that e-Masters are completely course-based with no thesis requirement.

  • No Gate Score: Selection on academic and professional background
  • High Impact Learning: Unique learning by doing pedagogy with 1:1 mentoring and visiting the IIIT Hyderabad campus.
  • Executive Friendly: Weekend-only LIVE interactive sessions coupled with self-paced learning through best-in-class instructional materials.
  • Career Access: Placement, startup incubation, and career advancement support.
  • IIIT-H Alumni Status: Be a part of the prestigious IIIT Hyderabad alumni network with access to all the alumni privileges.

The program is ideal for professionals interested in building tech expertise and enhancing their careers. Applicants must have

  • Minimum 1 year of work experience
  • Bachelor's Degree (4 years program) or a Masters Degree with at least 50% marks or 5/10 CGPA
  • Bachelor’s Degree (3-year program) with at least 50% marks or 5/10 CGPA may be considered based on relevant experience

The program will be taught by globally recognized academicians and research experts at IIIT Hyderabad. Meet your future mentors here.

Semester I

Computer Science - Foundation
Get introduced to computer science fundamentals alongside other concepts, including data structures and algorithms and data science foundations.

  • Computer Science Principles and Programming (8 weeks of study/4 credits): Algorithms, Data, Functions, Control Flow, Strings, Lists, References and Memory, Recursion, Runtime and Big-O Notation, Dictionaries
  • Data Structures and Algorithms (8 weeks of study/4 credits): Design and Implementation of Efficient Algorithms, Trees, Graphs, Tree-based Search Algorithms, Graph-based Search Algorithms, Tractability, P vs NP
  • Computer Science Foundations for Big Data (8 weeks of study/4 credits): Managing Large Code Projects, Simulation: Model, View and Controller, Levels of Concurrency and Pipelining, Map Reduction, Authentication and Encryption, Parsing and Modelling, ML Models and Problem Formulation, Data Analysis and Simulation, Tree and Heuristic Search

Semester II

Computer Science - Advanced
Broaden your knowledge of cutting-edge areas in computing and also learn in depth about databases and advanced algorithms.

  • Computer Systems (8 weeks of study/4 credits): Data Representation and Bitwise Operations (data lab), Machine Code Internal Representation and Execution (bomb lab), Memory Organization and Management (Cache lab and Malloc lab), Process Management (Shell lab)
  • Databases (8 weeks of study/4 credits): DBMS & ER models, SQL, Joins, Indexes and Transactions, Normal forms, Schema Refinement, Cash Recovery, and Query Optimization
  • Advanced Algorithms (8 weeks of study/4 credits): Undirected graphs, Directed Graphs, MSTs, Shortest Paths, String sorts, Tries, Substring Search, Data Compression

Semester III

Electives
Learn about emerging technologies and the prerequisites required to start the desired specialization.

  • Emerging Technologies: Social Computing, Mobile Apps, Cloud Computing, AI, Robotics, Networks and Security, and Blockchain

Preparatory for App Development Specialization

  • JavaScript Programming: JavaScript Events, Variables & Query Selectors, DOM Manipulation, JS Console and Arrow Functions, Interval and Local Storage, APIs, JS Conditions and Loops, User Interfaces
  • Principles of Software Construction: Design patterns for reuse, object-oriented analysis, and design, Multithreading and GUIs, Libraries, designing APIs, Concurrency, Parallelizing Algorithms, Concurrency Frameworks

Semester IV

App Development Specialization
You will get to deepen your knowledge from one of the following specializations: Data Science, Artificial Intelligence, Full Stack Development.

  • Frontend (Web/Mobile): HTML, CSS, Responsive Design, BootStrap and SASS, Single Page Apps, Scroll and Animation, React, JQuery
  • Backend: Path and Query Parameters, Request Forms and Files, Routes, Templates, Handling errors, Oauth2 with Password, Bearer with JWT
  • DevOps: Unit Testing, Selenium, CI/CD, Docker, Scalability, Load balancing, and Auto scaling, Caching & HTTPS, Attacks (HTML and JS)

Machine Learning Specialization Modules

  • Machine Learning Foundations
  • Deep Learning
  • Neural Networks
  • Advanced Machine Learning Techniques
  • Reinforcement Learning

For the Artificial Intelligence specialization, there will be a change in the course offerings in Semester 3 and Semester 4. Specifically, the second and third course offered in Semester 3 and all three courses in Semester 4.

  • Get an e-Masters Degree from IIIT Hyderabad
  • Learn from a world-class faculty group drawn from IIIT Hyderabad
  • Become a part of IIIT Hyderabad’s alumni network
  • Develop practical skills in software development
  • Get insights on Emerging Technologies
  • Learn design thinking approach to solve complex problems

About Talentsprint

  • 10 Years of
    Excellence
  • 200K Empowered
    Professionals
  • 95% Completion
    Rate
  • 85 Net Promoter
    Score

Established in 2010, TalentSprint (a part of the NSE group) is a global EdTech company offering cutting-edge, deeptech, management programs for early career and experienced professionals, with top institutions/organizations. It creates a highly-skilled niche talent pool to meet new-age industry demands. The company’s digital learning platform ipearl.ai offers a hybrid onsite/online experience to seekers of deep technology expertise. TalentSprint is a leading Innovation Partner for the National Skill Development Corporation, an arm of the Ministry of Skill Development and Entrepreneurship, Government of India. It is also a recipient of various prestigious accolades. Some of the recent ones are:

Education Excellence Award 2022

EdTech Leader of The Year 2023

Best Edtech Company of The Year 2023

Digital Learning Company of The Year 2023

Best Edtech Solution of The Year 2023

Most Breakthrough Product of the Year 2023