The School of Engineering and Applied Sciences offers a two-year MTech programme in 'Computer Science and Engineering (CSE)', with a specialisation in 'Data Science and Analytics'.
Eligibility and Admission Criteria
The candidate must have completed any one of the following:
Aggregate marks in the qualifying degree must be no less than 60% or equivalent cumulative grade point average (CGPA). Undergraduate candidates appearing for their final semester/year may also apply. If admitted, students in this category must submit their provisional degree certificate within 30 days of commencement of the programme.
Admissions will be offered based on following:
Admission to MTech programme will be offered based on valid GATE score in any of following:
Candidates without valid GATE score will require to appear in the written test to be conducted by School of Engineering and Applied Science of Ahmedabad University. The merit list will be prepared based on valid GATE score and in case of vacancy, seats will be filled in on the basis of score of written test. The shortlisted candidates will be called for registration, document verification, payment of fees and the orientation program.
Topics for Written Test: Concepts of Object Oriented Programming, Data Structures, Algorithms, Digital Logic and Computer Organization, Database Management System, Operating Systems, Computer Networks, and Theory of Computation
Written test will have multiple choice questions (MCQ) and duration will be of sixty minutes. Candidates who have submitted online applications with fees should report at the Office of School of Engineering and Applied Science latest by 9.30 am on June 14, 2019. The duration of Entrance Examination will be of sixty minutes. Selected candidates will called for the interviews on June 14, 2019 starting at 2 p.m.
To apply: click here.
Important Dates (Second and Final Round of Admissions)
- Online Applications available from: March 25, 2019
- Written test and interview for candidates not having valid GATE score: June 14, 2019
- Interview of candidates with valid GATE score: June 14, 2019
Selected candidates will be offered aid on the basis of GATE scores or performance in the written test and interview. Such candidates will be provided financial assitance in the form of teaching assistant-ship.
In an increasingly competitive marketplace, organizations need skilled professionals to interpret a growing stream and variety of data. Increasingly, industry focuses on how "big data" can be used to help decision makers improve organizational competitiveness.
The MTech 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.
Students 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.
To design and implement databases, dimensional models, and data warehousing strategies.
To apply advanced methods of data warehousing and data mining in a variety of organizational environments.
To transform large data sets into actionable information in an easy-to-understand format.
To support organizational decision-making through the use of advanced analytical tools.
To manage the quality, security, and privacy of data relevant to an organization to enhance its value.
To manage real life complex data analytics projects.
Students will be enabled to:
Assess alternative approaches and infrastructures for implementing big data analytics.
Evaluate the appropriate methods and tools for data analysis in specific organizational contexts, including selecting a modeling approach, building a model using appropriate tools, validating the model, and deploying the model for prediction and analysis.
Develop experience tackling industry and organization-specific problems and challenges using advanced analytics and computational methods.
For the semester-wise curriculum of the M. Tech. in CSE, please click here.
MTech (CSE) Research Internships / Placements
Students have the opportunity to pursue their one year research internship at globally reputed companies and research organisations. Students have undertaken one year research internships at globally reputed organizations like ABB Corporate Research, COVIAM, ISRO, eInfochips, BluePi Consulting Pvt Ltd. as well as with faculty members and researchers of leading universities and institutes.
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.
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