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.
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
Programme Core:
Algorithms and Optimisation for Big Data
Data Analytics and Visualisation
Machine Learning
Big Data Analytics
High Performance Computing
Mathematics
Probability, Statistics, and Inference
Advanced Statistics
Technical Communication
Research Methodology
Programme Electives: At least 6 Credits from the following
Cloud Computing
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 organization, database management systems, computer algorithms, computer organization, operating systems, computer networks, calculus, linear algebra, and statistical methods.
Admission will be offered based on following:
Valid GATE score in any of following:
Candidates without valid GATE score will be required to appear in the written test that is conducted by School of Engineering and Applied Science of Ahmedabad University. This test will be conducted after completing the admission for students who happlied with valid GATE scores. The written test will be based on Concepts of Object Oriented Programming, Data Structures, Algorithms, Digital Logic and Computer Organisation, Database Management System, Operating Systems, Computer Networks, and Theory of Computation. This would be an Online test and it will have multiple choice questions (MCQ) and duration will be of sixty minutes.
Important Dates:
Apply through our Graduate Admissions Portal
Learn more about the faculty by clicking on the link below: