In an highly competitive marketplace, organisations need skilled professionals to interpret a growing stream and variety of data. Increasingly, industry is focusing on how "big data" can be used to help decision makers improve organisational competitiveness.
The MTech in Computer Science and Engineering programme’s Data Science and Analytics specialisation is designed to meet this growing need. Our students gain hands-on experience with a variety of analytical tools available for the purpose of structuring large data sets, to unearth hidden information and patterns key to enterprise. Students also gain experience using different software tools and functions, including data mining, predictive modelling, and visual analytics using large data sets. Commercial and open-source tools are used to conduct analyses and build prototypes using real-world case studies and data sets. Case studies cover building predictive models in a variety of industries.
On completion of the programme, the student will be enabled to:
Selected candidates will be offered financial aid on the basis of GATE scores or performance in the written test and interview. Such candidates will be provided financial assistance in the form of teaching assistantship.
Students are getting offers to become data scientists, data analytics specialists, and software engineers at reputed companies and research labs. Their experience spans Indian industry, from e-commerce, financial services and online retail to meteorology, agriculture and entertainment. Click here for further details related to career opportunities for MTech students.
Minimum Programme Credits: 63
The duration of the programme is two years. A student in the Master of Technology in Computer Science and Engineering programme takes courses leading up to a minimum of 63 credits with passing grades and a final CGPA of 2.00 in order to successfully complete the Master of Technology in Computer Science and Engineering programme. Courses listed as programme core are mandatory for a student to receive the Master of Technology in Computer Science and Engineering degree. Students can take 15 to 21 credits in each semester. Permission of Programme Chair and Dean of the school is required in case a student wishes to take more than 21 credits. The detailed programme structure is as follows.
Programme Structure: 63 Credits
Algorithms and Optimisation for Big Data
Data Analytics and Visualisation
Big Data Analytics
High Performance Computing
Probability, Statistics, and Inference
Programme Electives: At least 6 Credits from the following
Models of Computation
Internet of Things
Information and Coding Theory
Intelligent Building: An Introduction
Introduction to Blockchain: Technologies, Approaches and Applications
Optimisation: Tools and Techniques for Modelling, Design and Analysis
Candidates must have completed any one of the following programmes:
Aggregate marks in the qualifying degree must be no less than 60% or equivalent cumulative grade point average (CGPA). Students who have appeared or will appear for the final year examination of bachelor’s degree can also apply provided they are able to furnish the final results by the last day of September of the year in which they are admitted.
Candidates must demonstrate thorough knowledge of computer programming, data structures, file organisation, database management systems, computer algorithms, computer organisation, operating systems, computer networks, calculus, linear algebra, and statistical methods.
Syllabus for the Written Test and Interview (both ONLINE) is on topics related to Concepts of Object Oriented Programming, Data Structures, Algorithms, Digital Logic and Computer Organisation, Database Management System, Operating Systems, Computer Networks, and Theory of Computation
June 7, 2022: Online Applications submission begins.
July 23, 2022: Last date for submitting Online Application.
|Admission Round 1||July 11, 2022||Applications received until July 11, 2022 will be considered for Round-1 process|
|July 18, 2022||Date for Written Tests and Interviews
[If online, link will be sent by email by July 17, 2022]
|July 20, 2022||Result Declaration and Admission Offer by email|
|July 22, 2022||Last Date for Acceptance of Admission offer, and Fee Deposit.|
|Admission Round 2||July 23, 2022||Applications received until July 23, 2022 will considered for round-2 process, subject to availability of seats after round-1 process|
|July 25, 2022||Date for Written Tests and Interviews
[If online, link will be sent by email by July 24, 2022]
|July 26, 2022||Result Declaration and Admission Offer by email|
|July 28, 2022||Last Date for Acceptance of Admission offer, and Fee Deposit.|
First Day of Classes: August 1, 2022.
Apply through our Graduate Admissions Portal
Learn more about the faculty by clicking on the link below: