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SEAS has launched a two year M.Tech. degree programme in Computer Science and Engineering (CSE) with a specialization in Data Science and Analytics from July, 2014. This hands-on, live case study based programme is designed to meet the exploding need for highly skilled professionals in Data Analytics.
Interviews will be conducted for the students admitted to MTech program and selected candidates will be provided monthly financial assistance in the form of Teaching Assistantship (TA-ship).
The successful students will be provided degree certificate as "M. Tech. (CSE) with specialization in 'Data Science and Analytics'".
Academic programs on 'Data Analytics' are newly developed interdisciplinary programs that combine applied mathematics, statistics, computer science and various business domains or verticals like finance, marketing, supply chain, agriculture, e-commerce etc. In today’s increasingly competitive marketplace, organizations need individuals with the requisite skills to transform the growing amount of industry, product, and customers' behavioral data into actionable information to support strategic and tactical decision making. The focus is on how "big data" can be used to help decision makers improve organizational competitiveness.
The program is designed to meet the rising need for highly skilled professionals who can transform the growing amount of data confronting all organizations into usable information for use by their decision makers. Students will get the opportunity to gain hands-on experience with a variety of analytical tools available for the purpose of structuring large data sets to unearth hidden information to allow their organizations to build and sustain a long-term competitive advantage. Students also gain experience with different software tools used for data analysis and reporting. The students will get exposure to sophisticated software tools and functions such as data mining, predictive modeling, and visual analytics using large data sets. Commercial and open-source tools would be used to conduct analyses and build prototypes using real-world case studies and data sets. Case studies can cover building predictive models in selected industries (e.g., healthcare, medicine, defense, finance, banking, energy, supply-chain etc.).
Computer Programming, Data Structures, File Organization, Database Management System, Computer Algorithms, Computer Organization, Operating System, Computer Networks, Calculus, Linear Algebra, and Statistical Methods
Programme objectives are defined as under:
The program will enable students to
For the semester-wise curriculum of the M. Tech. Program, please click here.
The future prospects for successful students are as under:
The student will become